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| 1.1 2.13. Practical example. Descriptive statistics_lesson.xlsx |
146.51KB |
| 1.1 3.17. Practical example. Confidence intervals_lesson.xlsx |
1.74MB |
| 1.1 365_DataScience.png |
7.24MB |
| 1.1 4.10.Hypothesis-testing-section-practical-example.xlsx |
51.71KB |
| 1.1 Arithmetic Operators - Resources.html |
134B |
| 1.1 Audiobook reviews.xlsx |
266.85KB |
| 1.1 BI - FAQ.pdf |
1.11MB |
| 1.1 Comparison Operators - Resources.html |
134B |
| 1.1 Course notes_descriptive_statistics.pdf |
482.21KB |
| 1.1 Course notes_descriptive_statistics.pdf |
482.21KB |
| 1.1 Course notes_hypothesis_testing.pdf |
656.44KB |
| 1.1 Course notes_inferential statistics.pdf |
382.32KB |
| 1.1 Defining a Function in Python - Resources.html |
134B |
| 1.1 df_preprocessed.csv |
29.11KB |
| 1.1 employees_db.pdf |
178.82KB |
| 1.1 employees_mod_db.pdf |
129.65KB |
| 1.1 For Loops - Resources.html |
134B |
| 1.1 GDP Data.xls |
155.50KB |
| 1.1 Introduction to the If Statement - Resources.html |
134B |
| 1.1 Lists - Resources.html |
134B |
| 1.1 MySQL_Workbench_Shortcuts.pdf |
515.23KB |
| 1.1 Python Introduction - Course Notes.pdf |
2.03MB |
| 1.1 The 5 files rar.html |
134B |
| 1.2 Audiobook sales.xlsx |
1.87MB |
| 1.2 data_preprocessing_homework.pdf |
134.47KB |
| 1.2 Python Variables - Resources.html |
134B |
| 1.2 Statistics Glossary.xlsx |
20.26KB |
| 1.3 Absenteeism_data.csv |
32.05KB |
| 1. A 5-minute explanation of Programming.mp4 |
58.53MB |
| 1. A 5-minute explanation of Programming.srt |
6.90KB |
| 1. Applying COUNT().mp4 |
27.38MB |
| 1. Applying COUNT().srt |
4.95KB |
| 1. Coding Tips and Best Practices - I.mp4 |
37.82MB |
| 1. Coding Tips and Best Practices - I.srt |
6.71KB |
| 1. Data Science Job Positions What do they Involve and What to Look out for.mp4 |
54.35MB |
| 1. Data Science Job Positions What do they Involve and What to Look out for.srt |
4.49KB |
| 1. Defining Stored Routines.mp4 |
29.93MB |
| 1. Defining Stored Routines.srt |
4.41KB |
| 1. Dispelling common Misconceptions.mp4 |
72.72MB |
| 1. Dispelling common Misconceptions.srt |
5.29KB |
| 1. Duplicating a Sheet.mp4 |
25.33MB |
| 1. Duplicating a Sheet.srt |
3.24KB |
| 1. EXERCISE - Age vs Probability.html |
385B |
| 1. Getting Started with Data, Servers, Clients, Requests, and Responses.mp4 |
69.07MB |
| 1. Getting Started with Data, Servers, Clients, Requests, and Responses.srt |
5.93KB |
| 1. Getting to know the IF Statement.mp4 |
23.24MB |
| 1. Getting to know the IF Statement.srt |
7.60KB |
| 1. How is the Content in the Next Sections Organized.html |
2.44KB |
| 1. How to Define a Function in Python.mp4 |
14.75MB |
| 1. How to Define a Function in Python.srt |
5.32KB |
| 1. How to Use the 'absenteeism_module' in Python - Part I.mp4 |
25.45MB |
| 1. How to Use the 'absenteeism_module' in Python - Part I.srt |
4.76KB |
| 1. Installing MySQL Workbench and Server.mp4 |
99.10MB |
| 1. Installing MySQL Workbench and Server.srt |
12.65KB |
| 1. Introduction.mp4 |
15.50MB |
| 1. Introduction.srt |
1.63KB |
| 1. Introduction to Lists.mp4 |
37.79MB |
| 1. Introduction to Lists.srt |
9.83KB |
| 1. Introduction to Object Oriented Programming (OOP).mp4 |
33.59MB |
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6.10KB |
| 1. Introduction to Software Integration.mp4 |
92.71MB |
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7.08KB |
| 1. Introduction to the Exercise.mp4 |
28.48MB |
| 1. Introduction to the Exercise.srt |
2.53KB |
| 1. Loading the 'employees' Database.mp4 |
18.99MB |
| 1. Loading the 'employees' Database.srt |
2.72KB |
| 1. Population vs sample.mp4 |
58.09MB |
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5.47KB |
| 1. Practical Example.mp4 |
160.47MB |
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20.78KB |
| 1. Practical Example Hypothesis Testing.mp4 |
69.38MB |
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8.49KB |
| 1. Practical Example Inferential Statistics.mp4 |
102.64MB |
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13.64KB |
| 1. Problem 1 Task.mp4 |
33.81MB |
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29.02MB |
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13.30MB |
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23.74MB |
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3.60KB |
| 1. Problem 5 Organizing Charts 1-4 into a Beautiful Dashboard.mp4 |
56.20MB |
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6.69KB |
| 1. Programming Languages & Software Employed in Data Science - All the Tools Needed.mp4 |
103.39MB |
| 1. Programming Languages & Software Employed in Data Science - All the Tools Needed.srt |
7.29KB |
| 1. Python's Comparison Operators.mp4 |
10.17MB |
| 1. Python's Comparison Operators.srt |
2.47KB |
| 1. Python Variables.mp4 |
25.30MB |
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6.05KB |
| 1. Solving a Business Exercise with Python, SQL, and Tableau.mp4 |
52.31MB |
| 1. Solving a Business Exercise with Python, SQL, and Tableau.srt |
5.46KB |
| 1. SQL Subqueries with IN Embedded Inside WHERE.mp4 |
37.45MB |
| 1. SQL Subqueries with IN Embedded Inside WHERE.srt |
5.03KB |
| 1. The Arithmetic Operators of Python.mp4 |
18.92MB |
| 1. The Arithmetic Operators of Python.srt |
4.11KB |
| 1. The Null vs Alternative Hypothesis.mp4 |
92.08MB |
| 1. The Null vs Alternative Hypothesis.srt |
6.97KB |
| 1. The SQL CASE Statement.mp4 |
59.43MB |
| 1. The SQL CASE Statement.srt |
6.86KB |
| 1. Traditional Data Techniques.mp4 |
138.40MB |
| 1. Traditional Data Techniques.srt |
10.62KB |
| 1. Types of Data.mp4 |
72.48MB |
| 1. Types of Data.srt |
5.95KB |
| 1. Using For Loops.mp4 |
23.59MB |
| 1. Using For Loops.srt |
6.58KB |
| 1. Using SELECT - FROM.mp4 |
35.93MB |
| 1. Using SELECT - FROM.srt |
5.79KB |
| 1. What are Confidence Intervals.mp4 |
49.96MB |
| 1. What are Confidence Intervals.srt |
3.26KB |
| 1. What are JOINs.mp4 |
42.20MB |
| 1. What are JOINs.srt |
5.11KB |
| 1. What Does the Course Cover.mp4 |
55.09MB |
| 1. What Does the Course Cover.srt |
5.02KB |
| 1. When are Traditional data, Big Data, BI, Traditional Data Science and ML applied.mp4 |
126.75MB |
| 1. When are Traditional data, Big Data, BI, Traditional Data Science and ML applied.srt |
8.99KB |
| 1. Why Are There So Many Business and Data Science Buzzwords.mp4 |
81.39MB |
| 1. Why Are There So Many Business and Data Science Buzzwords.srt |
6.62KB |
| 1. Why do we Need each of these Disciplines.mp4 |
87.45MB |
| 1. Why do we Need each of these Disciplines.srt |
6.50KB |
| 1. Why use SQL.mp4 |
70.07MB |
| 1. Why use SQL.srt |
4.58KB |
| 1. Why Use Tableau Make Your Data Make an Impact.mp4 |
39.20MB |
| 1. Why Use Tableau Make Your Data Make an Impact.srt |
4.76KB |
| 10.1 2.4. Numerical variables. Frequency distribution table_exercise_solution.xlsx |
13.25KB |
| 10.1 Creating a dashboard - Tableau Public Link.html |
151B |
| 10.1 Indexing Elements - Resources.html |
134B |
| 10.1 Online p-value calculator.pdf |
1.15MB |
| 10.1 Subqueries SELECT FROM Solution.sql |
1.85KB |
| 10.2 2.4.Numerical-variables.Frequency-distribution-table-exercise.xlsx |
12.02KB |
| 10.2 Audiobook sales.xlsx |
1.87MB |
| 10.3 Audiobook reviews.xlsx |
266.85KB |
| 10. A Deeper Look at the 'Reasons for Absence' Column.mp4 |
40.57MB |
| 10. A Deeper Look at the 'Reasons for Absence' Column.srt |
5.85KB |
| 10. Applying AVG().mp4 |
13.53MB |
| 10. Applying AVG().srt |
2.52KB |
| 10. Central Limit Theorem.html |
156B |
| 10. Comparing Databases and Spreadsheets.html |
156B |
| 10. Create Stored Procedures with an Output Parameter.mp4 |
32.51MB |
| 10. Create Stored Procedures with an Output Parameter.srt |
4.07KB |
| 10. Creating and Formatting a Dashboard.mp4 |
31.83MB |
| 10. Creating and Formatting a Dashboard.srt |
5.29KB |
| 10. How to Index Elements.mp4 |
5.93MB |
| 10. How to Index Elements.srt |
1.70KB |
| 10. Margin of Error.mp4 |
47.20MB |
| 10. Margin of Error.srt |
6.15KB |
| 10. Numerical Variables Exercise.html |
81B |
| 10. p-value.mp4 |
55.93MB |
| 10. p-value.srt |
5.03KB |
| 10. Sending Data from Jupyter to Workbench - Part II.mp4 |
58.22MB |
| 10. Sending Data from Jupyter to Workbench - Part II.srt |
7.65KB |
| 10. SQL Subqueries Nested in SELECT and FROM - Solution 2.html |
15B |
| 10. The Functionality of LEFT JOIN - Part I.mp4 |
50.81MB |
| 10. The Functionality of LEFT JOIN - Part I.srt |
5.72KB |
| 10. Traditional Methods Techniques.mp4 |
111.64MB |
| 10. Traditional Methods Techniques.srt |
10.98KB |
| 10. Understanding Jupyter's Interface.html |
156B |
| 10. Using OR.mp4 |
33.22MB |
| 10. Using OR.srt |
3.92KB |
| 10. What is Software Integration and How is it Applied.html |
156B |
| 11.1 2.5. The Histogram_lesson.xlsx |
18.63KB |
| 11.1 Audiobook reviews.xlsx |
266.85KB |
| 11.1 Integration.html |
154B |
| 11.1 Python Introduction - Course Notes.pdf |
2.04MB |
| 11.2 Adding a filter - Tableau Public Link.html |
155B |
| 11.3 Audiobook sales.xlsx |
1.87MB |
| 11. Adding Interactive Filters for Improved Analysis.mp4 |
31.65MB |
| 11. Adding Interactive Filters for Improved Analysis.srt |
4.86KB |
| 11. Applying AVG() - Exercise.html |
102B |
| 11. Create Stored Procedures with an Output Parameter - Exercise.html |
152B |
| 11. How to Index Elements.html |
156B |
| 11. Important Database Terminology.mp4 |
90.50MB |
| 11. Important Database Terminology.srt |
6.01KB |
| 11. Margin of Error.html |
156B |
| 11. p-value.html |
156B |
| 11. Python 2 vs Python 3.mp4 |
11.28MB |
| 11. Python 2 vs Python 3.srt |
3.31KB |
| 11. Sending Data from Jupyter to Workbench - Part III.mp4 |
32.83MB |
| 11. Sending Data from Jupyter to Workbench - Part III.srt |
3.33KB |
| 11. Splitting a Variable into Multiple Dummy Variables.mp4 |
81.13MB |
| 11. Splitting a Variable into Multiple Dummy Variables.srt |
10.20KB |
| 11. Standard error.mp4 |
22.75MB |
| 11. Standard error.srt |
2.02KB |
| 11. The Functionality of LEFT JOIN - Part II.mp4 |
54.88MB |
| 11. The Functionality of LEFT JOIN - Part II.srt |
6.87KB |
| 11. The Histogram.mp4 |
13.80MB |
| 11. The Histogram.srt |
3.01KB |
| 11. Traditional Methods Techniques.html |
156B |
| 11. Using OR - Exercise.html |
85B |
| 12.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx |
10.47KB |
| 12.1 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx |
14.54KB |
| 12.1 Structure Your Code with Indentation - Resources.html |
134B |
| 12. Applying AVG() - Solution.html |
237B |
| 12. Confidence intervals. Two means. Dependent samples.mp4 |
70.45MB |
| 12. Confidence intervals. Two means. Dependent samples.srt |
8.03KB |
| 12. EXERCISE - Splitting a Variable into Multiple Dummy Variables.html |
129B |
| 12. How to Structure Your Code with Indentation.mp4 |
13.15MB |
| 12. How to Structure Your Code with Indentation.srt |
4.68KB |
| 12. Important Database Terminology.html |
156B |
| 12. Interactive Filters - fix.mp4 |
12.48MB |
| 12. Interactive Filters - fix.srt |
1.94KB |
| 12. Standard error.html |
156B |
| 12. Stored Procedures with an Output Parameter - Solution.html |
931B |
| 12. Test for the Mean. Population Variance Unknown.mp4 |
40.19MB |
| 12. Test for the Mean. Population Variance Unknown.srt |
5.73KB |
| 12. The Functionality of LEFT JOIN - Part II - Exercise.html |
441B |
| 12. The Histogram.html |
156B |
| 12. Traditional Methods Real-life Examples.mp4 |
42.85MB |
| 12. Traditional Methods Real-life Examples.srt |
3.58KB |
| 12. Using OR - Solution.html |
248B |
| 13.1 2.5. The Histogram_exercise_solution.xlsx |
16.83KB |
| 13.1 3.13. Confidence intervals. Two means. Dependent samples_exercise.xlsx |
13.74KB |
| 13.1 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx |
12.63KB |
| 13.2 3.13. Confidence intervals. Two means. Dependent samples_exercise_solution.xlsx |
14.24KB |
| 13.2 4.6. Test-for-the-mean.Population-variance-unknown-exercise.xlsx |
11.34KB |
| 13.2 Statistics - PDF with Excel Solutions that don't visualize properly.pdf |
289.12KB |
| 13.3 2.5. The Histogram_exercise.xlsx |
15.50KB |
| 13. Confidence intervals. Two means. Dependent samples Exercise.html |
82B |
| 13. Estimators and Estimates.mp4 |
47.86MB |
| 13. Estimators and Estimates.srt |
3.71KB |
| 13. Histogram Exercise.html |
81B |
| 13. How to Structure Your Code with Indentation.html |
156B |
| 13. Machine Learning (ML) Techniques.mp4 |
99.27MB |
| 13. Machine Learning (ML) Techniques.srt |
8.73KB |
| 13. Operator Precedence and Logical Order.mp4 |
32.07MB |
| 13. Operator Precedence and Logical Order.srt |
4.35KB |
| 13. Rounding Numbers with ROUND().mp4 |
16.81MB |
| 13. Rounding Numbers with ROUND().srt |
2.62KB |
| 13. SOLUTION - Splitting a Variable into Multiple Dummy Variables.html |
116B |
| 13. SQL Variables.mp4 |
54.57MB |
| 13. SQL Variables.srt |
7.39KB |
| 13. Test for the Mean. Population Variance Unknown Exercise.html |
82B |
| 13. The Concept of Relational Schemas Primary Key.mp4 |
42.91MB |
| 13. The Concept of Relational Schemas Primary Key.srt |
6.97KB |
| 13. The Functionality of LEFT JOIN - Part II - Solution.html |
599B |
| 14.1 2.6. Cross table and scatter plot.xlsx |
26.12KB |
| 14.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx |
9.83KB |
| 14.1 4.7. Test for the mean. Dependent samples_lesson.xlsx |
9.79KB |
| 14. Confidence intervals. Two means. Independent samples (Part 1).mp4 |
28.77MB |
| 14. Confidence intervals. Two means. Independent samples (Part 1).srt |
6.07KB |
| 14. Cross Table and Scatter Plot.mp4 |
39.80MB |
| 14. Cross Table and Scatter Plot.srt |
6.68KB |
| 14. Estimators and Estimates.html |
156B |
| 14. How to Drop a Dummy Variable from the Data Set.html |
2.34KB |
| 14. Machine Learning (ML) Techniques.html |
156B |
| 14. Operator Precedence and Logical Order - Exercise.html |
92B |
| 14. Rounding Numbers with ROUND() - Exercise.html |
145B |
| 14. SQL Variables - Exercise.html |
299B |
| 14. Test for the Mean. Dependent Samples.mp4 |
50.41MB |
| 14. Test for the Mean. Dependent Samples.srt |
6.26KB |
| 14. The Concept of Relational Schemas Primary Key.html |
156B |
| 14. The Functionality of RIGHT JOIN.mp4 |
32.23MB |
| 14. The Functionality of RIGHT JOIN.srt |
5.10KB |
| 15.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise_solution.xlsx |
10.12KB |
| 15.1 4.7. Test for the mean. Dependent samples_exercise.xlsx |
12.80KB |
| 15.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.xlsx |
9.83KB |
| 15.2 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx |
14.40KB |
| 15. A Statistical Perspective on Dummy Variables.mp4 |
13.76MB |
| 15. A Statistical Perspective on Dummy Variables.srt |
1.70KB |
| 15. Confidence intervals. Two means. Independent samples (Part 1) Exercise.html |
82B |
| 15. Cross Tables and Scatter Plots.html |
156B |
| 15. Differences between the New and the Old Join Syntax.mp4 |
32.01MB |
| 15. Differences between the New and the Old Join Syntax.srt |
5.36KB |
| 15. Machine Learning (ML) Types of Machine Learning.mp4 |
125.05MB |
| 15. Machine Learning (ML) Types of Machine Learning.srt |
10.51KB |
| 15. Operator Precedence and Logical Order - Solution.html |
265B |
| 15. Rounding Numbers with ROUND() - Solution.html |
247B |
| 15. SQL Variables - Solution.html |
156B |
| 15. Test for the Mean. Dependent Samples Exercise.html |
82B |
| 15. The Concept of Relational Schemas Foreign Key.mp4 |
43.97MB |
| 15. The Concept of Relational Schemas Foreign Key.srt |
6.73KB |
| 16.1 2.6. Cross table and scatter plot_exercise_solution.xlsx |
40.44KB |
| 16.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_lesson.xlsx |
9.52KB |
| 16.1 4.8. Test for the mean. Independent samples (Part 1)_lesson.xlsx |
9.63KB |
| 16.2 2.6. Cross table and scatter plot_exercise.xlsx |
16.28KB |
| 16. Categorizing the Various Reasons for Absence.mp4 |
74.56MB |
| 16. Categorizing the Various Reasons for Absence.srt |
10.02KB |
| 16. Confidence intervals. Two means. Independent samples (Part 2).mp4 |
26.84MB |
| 16. Confidence intervals. Two means. Independent samples (Part 2).srt |
4.51KB |
| 16. Cross Tables and Scatter Plots Exercise.html |
81B |
| 16. Differences between the New and the Old Join Syntax - Exercise.html |
192B |
| 16. Machine Learning (ML) Types of Machine Learning.html |
156B |
| 16. Test for the mean. Independent samples (Part 1).mp4 |
29.97MB |
| 16. Test for the mean. Independent samples (Part 1).srt |
5.51KB |
| 16. The Benefit of User-Defined Functions in MySQL.mp4 |
48.76MB |
| 16. The Benefit of User-Defined Functions in MySQL.srt |
7.32KB |
| 16. The Concept of Relational Schemas Foreign Key.html |
156B |
| 16. Using IN - NOT IN.mp4 |
32.13MB |
| 16. Using IN - NOT IN.srt |
3.77KB |
| 17.1 2.7. Mean, median and mode_lesson.xlsx |
10.49KB |
| 17.1 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise.xlsx |
9.17KB |
| 17.1 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx |
10.77KB |
| 17.2 3.15. Confidence intervals. Two means. Independent samples (Part 2)_exercise_solution.xlsx |
9.79KB |
| 17.2 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise-solution.xlsx |
11.25KB |
| 17. Concatenation in Python.mp4 |
38.74MB |
| 17. Concatenation in Python.srt |
5.07KB |
| 17. Confidence intervals. Two means. Independent samples (Part 2) Exercise.html |
82B |
| 17. Differences between the New and the Old Join Syntax - Solution.html |
942B |
| 17. Error Code 1418..html |
2.84KB |
| 17. Machine Learning (ML) Real-life Examples.mp4 |
36.85MB |
| 17. Machine Learning (ML) Real-life Examples.srt |
2.90KB |
| 17. Mean, median and mode.mp4 |
37.10MB |
| 17. Mean, median and mode.srt |
5.73KB |
| 17. Test for the mean. Independent samples (Part 1). Exercise.html |
82B |
| 17. The Concept of Relational Schemas Unique Key and Null Values.mp4 |
24.52MB |
| 17. The Concept of Relational Schemas Unique Key and Null Values.srt |
4.38KB |
| 17. Using IN - NOT IN - Exercise 1.html |
140B |
| 18.1 2.7. Mean, median and mode_exercise.xlsx |
10.87KB |
| 18.1 4.9. Test for the mean. Independent samples (Part 2)_lesson.xlsx |
9.31KB |
| 18.2 2.7. Mean, median and mode_exercise_solution.xlsx |
11.35KB |
| 18. Confidence intervals. Two means. Independent samples (Part 3).mp4 |
19.91MB |
| 18. Confidence intervals. Two means. Independent samples (Part 3).srt |
1.96KB |
| 18. EXERCISE - Concatenation in Python.html |
189B |
| 18. Machine Learning (ML) Real-life Examples.html |
156B |
| 18. Mean, Median and Mode Exercise.html |
81B |
| 18. Test for the mean. Independent samples (Part 2).mp4 |
36.37MB |
| 18. Test for the mean. Independent samples (Part 2).srt |
5.14KB |
| 18. The Benefit of User-Defined Functions in MySQL - Exercise.html |
432B |
| 18. The Concept of Relational Schemas Unique Key.html |
156B |
| 18. Using IN - NOT IN - Solution 1.html |
234B |
| 18. Using JOIN and WHERE Together.mp4 |
25.18MB |
| 18. Using JOIN and WHERE Together.srt |
3.47KB |
| 19.1 2.8. Skewness_lesson.xlsx |
34.63KB |
| 19. Important – Prevent Error Code 1055!.html |
3.17KB |
| 19. Skewness.mp4 |
19.44MB |
| 19. Skewness.srt |
3.64KB |
| 19. SOLUTION - Concatenation in Python.html |
142B |
| 19. Test for the mean. Independent samples (Part 2).html |
156B |
| 19. The Benefit of User-Defined Functions in MySQL - Solution.html |
1.57KB |
| 19. The Concept of Relational Schemas Relationships Between Tables.mp4 |
41.68MB |
| 19. The Concept of Relational Schemas Relationships Between Tables.srt |
6.18KB |
| 19. Using IN - NOT IN - Exercise 2.html |
118B |
| 2.1 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx |
146.22KB |
| 2.1 3.17.Practical-example.Confidence-intervals-exercise-solution.xlsx |
1.82MB |
| 2.1 3.2. What is a distribution_lesson.xlsx |
19.46KB |
| 2.1 4.10.Hypothesis-testing-section-practical-example-exercise.xlsx |
43.38KB |
| 2.1 Creating a Function with a Parameter - Resources.html |
134B |
| 2.1 Tesla sales data.xlsx |
2.75MB |
| 2.1 The 'employees' database.html |
121B |
| 2.2 2.13.Practical-example.Descriptive-statistics-exercise.xlsx |
120.28KB |
| 2.2 3.17.Practical-example.Confidence-intervals-exercise.xlsx |
1.73MB |
| 2.2 4.10.Hypothesis-testing-section-practical-example-exercise-solution.xlsx |
44.04KB |
| 2.2 Course notes_inferential statistics.pdf |
382.32KB |
| 2.2 Creating a table - Tableau Public Link.html |
151B |
| 2.2 employees_db.pdf |
178.82KB |
| 2. A 5-minute explanation of Programming.html |
156B |
| 2. Analysis vs Analytics.mp4 |
53.50MB |
| 2. Analysis vs Analytics.srt |
5.07KB |
| 2. Applying COUNT() - Exercise.html |
123B |
| 2. Coding Tips and Best Practices - I.html |
156B |
| 2. Combining SQL and Tableau.mp4 |
83.90MB |
| 2. Combining SQL and Tableau.srt |
6.23KB |
| 2. Creating a Table.mp4 |
25.95MB |
| 2. Creating a Table.srt |
6.11KB |
| 2. Data Science Job Positions What do they Involve and What to Look out for.html |
156B |
| 2. Defining Stored Routines.html |
156B |
| 2. Dispelling common Misconceptions.html |
156B |
| 2. Download All Resources.html |
666B |
| 2. For Loops.html |
156B |
| 2. Further Reading on Null and Alternative Hypothesis.html |
2.29KB |
| 2. Getting Started with Data, Servers, Clients, Requests, and Responses.html |
156B |
| 2. Getting to know the IF Statement.html |
156B |
| 2. How to Create a Function with a Parameter.mp4 |
38.10MB |
| 2. How to Create a Function with a Parameter.srt |
8.98KB |
| 2. How to Import the Data Set in Python.mp4 |
23.08MB |
| 2. How to Import the Data Set in Python.srt |
3.99KB |
| 2. How to Use the 'absenteeism_module' in Python - Part II.mp4 |
54.33MB |
| 2. How to Use the 'absenteeism_module' in Python - Part II.srt |
7.53KB |
| 2. Installing Visual C.html |
818B |
| 2. Introduction to Lists.html |
156B |
| 2. Introduction to Object Oriented Programming (OOP).html |
156B |
| 2. Let's Create a Dashboard - Visualizing the Three Charts We Want to Create.mp4 |
23.46MB |
| 2. Let's Create a Dashboard - Visualizing the Three Charts We Want to Create.srt |
2.30KB |
| 2. Let's Download Tableau Public.mp4 |
28.39MB |
| 2. Let's Download Tableau Public.srt |
2.21KB |
| 2. Loading the 'employees' Database.html |
930B |
| 2. Population and Sample.html |
156B |
| 2. Practical Example Exercise.html |
81B |
| 2. Practical Example Hypothesis Testing Exercise.html |
82B |
| 2. Practical Example Inferential Statistics Exercise.html |
82B |
| 2. Presenting the Task Absenteeism at Work.mp4 |
39.06MB |
| 2. Presenting the Task Absenteeism at Work.srt |
3.74KB |
| 2. Problem 1 Task - Text.html |
149B |
| 2. Problem 2 Task - Text.html |
162B |
| 2. Problem 3 Task - Text.html |
167B |
| 2. Problem 4 Task - Text.html |
325B |
| 2. Programming Languages & Software Employed in Data Science - All the Tools Needed.html |
156B |
| 2. Python's Comparison Operators.html |
156B |
| 2. Python Variables.html |
156B |
| 2. SQL Subqueries with IN Embedded Inside WHERE - Exercise.html |
138B |
| 2. The SQL CASE Statement - Exercise 1.html |
362B |
| 2. Traditional Data Techniques.html |
156B |
| 2. Types of data.html |
156B |
| 2. Using Arithmetic Operators in Python.html |
156B |
| 2. Using SELECT - FROM - Exercise.html |
149B |
| 2. Using Tableau to Analyze Age vs Probability.mp4 |
56.50MB |
| 2. Using Tableau to Analyze Age vs Probability.srt |
10.01KB |
| 2. What are Confidence Intervals.html |
156B |
| 2. What are JOINs - Exercise 1.html |
1.26KB |
| 2. What is a Distribution.mp4 |
61.66MB |
| 2. What is a Distribution.srt |
5.85KB |
| 2. When are Traditional data, Big Data, BI, Traditional Data Science and ML applied.html |
156B |
| 2. Why do we Need each of these Disciplines.html |
156B |
| 2. Why use SQL.html |
156B |
| 20.1 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2.xlsx |
10.54KB |
| 20.2 4.9.Test-for-the-mean.Independent-samples-Part-2-exercise-2-solution.xlsx |
11.39KB |
| 20. Concluding Stored Routines.mp4 |
27.14MB |
| 20. Concluding Stored Routines.srt |
4.69KB |
| 20. How to Reorder Columns in a DataFrame in Python.mp4 |
14.04MB |
| 20. How to Reorder Columns in a DataFrame in Python.srt |
1.82KB |
| 20. Skewness.html |
156B |
| 20. Test for the mean. Independent samples (Part 2).html |
82B |
| 20. The Concept of Relational Schemas Relationships Between Tables.html |
156B |
| 20. Using IN - NOT IN - Solution 2.html |
245B |
| 20. Using JOIN and WHERE Together - Exercise.html |
165B |
| 21.1 2.8. Skewness_exercise_solution.xlsx |
19.78KB |
| 21.2 2.8. Skewness_exercise.xlsx |
9.49KB |
| 21. Concluding Stored Routines.html |
156B |
| 21. EXERCISE - How to Reorder Columns in a DataFrame in Python.html |
167B |
| 21. Skewness Exercise.html |
81B |
| 21. Using JOIN and WHERE Together - Solution.html |
525B |
| 21. Using LIKE - NOT LIKE.mp4 |
36.08MB |
| 21. Using LIKE - NOT LIKE.srt |
4.41KB |
| 22.1 2.9. Variance_lesson.xlsx |
10.08KB |
| 22. SOLUTION - How to Reorder Columns in a DataFrame in Python.html |
471B |
| 22. The Functionality of CROSS JOIN.mp4 |
89.87MB |
| 22. The Functionality of CROSS JOIN.srt |
9.89KB |
| 22. Using LIKE - NOT LIKE - Exercise.html |
427B |
| 22. Variance.mp4 |
50.96MB |
| 22. Variance.srt |
7.53KB |
| 23.1 2.9. Variance_exercise.xlsx |
10.83KB |
| 23.1 Using Checkpoints.html |
176B |
| 23.2 2.9. Variance_exercise_solution.xlsx |
11.05KB |
| 23. The Functionality of CROSS JOIN - Exercise 1.html |
150B |
| 23. Using Checkpoints to Ease Your Work in Jupyter.mp4 |
25.72MB |
| 23. Using Checkpoints to Ease Your Work in Jupyter.srt |
3.64KB |
| 23. Using LIKE - NOT LIKE - Solution.html |
733B |
| 23. Variance Exercise.html |
81B |
| 24.1 2.10. Standard deviation and coefficient of variation_lesson.xlsx |
10.97KB |
| 24. EXERCISE - Using Checkpoints to Ease Your Work in Jupyter.html |
137B |
| 24. Standard Deviation and Coefficient of Variation.mp4 |
45.16MB |
| 24. Standard Deviation and Coefficient of Variation.srt |
6.60KB |
| 24. The Functionality of CROSS JOIN - Solution 1.html |
407B |
| 24. Using Wildcard Characters.mp4 |
9.87MB |
| 24. Using Wildcard Characters.srt |
2.43KB |
| 25. SOLUTION - Using Checkpoints to Ease Your Work in Jupyter.html |
117B |
| 25. Standard deviation.html |
156B |
| 25. The Functionality of CROSS JOIN - Exercise 2.html |
162B |
| 25. Using Wildcard characters - Exercise.html |
219B |
| 26.1 2.10.Standard-deviation-and-coefficient-of-variation-exercise.xlsx |
11.61KB |
| 26.2 2.10.Standard-deviation-and-coefficient-of-variation-exercise-solution.xlsx |
12.60KB |
| 26. Analyzing the Date Column.mp4 |
57.27MB |
| 26. Analyzing the Date Column.srt |
8.43KB |
| 26. Standard Deviation and Coefficient of Variation Exercise.html |
81B |
| 26. The Functionality of CROSS JOIN - Solution 2.html |
413B |
| 26. Using Wildcard characters - Solution.html |
462B |
| 27.1 2.11. Covariance_lesson.xlsx |
24.92KB |
| 27. Combining Aggregate Functions with Joins.mp4 |
22.14MB |
| 27. Combining Aggregate Functions with Joins.srt |
2.83KB |
| 27. Covariance.mp4 |
27.52MB |
| 27. Covariance.srt |
4.92KB |
| 27. Retrieving the Month Value From the Date Column.mp4 |
47.79MB |
| 27. Retrieving the Month Value From the Date Column.srt |
7.97KB |
| 27. Using BETWEEN - AND.mp4 |
16.47MB |
| 27. Using BETWEEN - AND.srt |
2.38KB |
| 28. Adding the Day of the Week Column.mp4 |
27.99MB |
| 28. Adding the Day of the Week Column.srt |
4.47KB |
| 28. Covariance.html |
156B |
| 28. JOIN More than Two Tables.mp4 |
41.43MB |
| 28. JOIN More than Two Tables.srt |
4.83KB |
| 28. Using BETWEEN - AND - Exercise.html |
335B |
| 29.1 2.11. Covariance_exercise_solution.xlsx |
29.51KB |
| 29.1 Dropping Columns.html |
188B |
| 29.2 2.11. Covariance_exercise.xlsx |
20.23KB |
| 29.2 Preprocessing - df_reason_date_mod.html |
191B |
| 29. Covariance Exercise.html |
81B |
| 29. EXERCISE - Dropping Columns.html |
1.21KB |
| 29. JOIN More than Two Tables - Exercise.html |
105B |
| 29. Using BETWEEN - AND - Solution.html |
1013B |
| 3.1 3.9.The-z-table.xlsx |
25.58KB |
| 3.1 365_DataScience_Diagram.pdf |
323.08KB |
| 3.1 Add an Else Statement - Resources.html |
134B |
| 3.1 Another Way to Define a Function - Resources.html |
134B |
| 3.1 Audiobook reviews.xlsx |
266.85KB |
| 3.1 GDP Data.xls |
155.50KB |
| 3.1 Help Yourself with Methods - Resources.html |
134B |
| 3.1 Logical and Identity Operators - Resources.html |
134B |
| 3.1 Tesla sales data.xlsx |
2.76MB |
| 3.1 The Double Equality Sign - Resources.html |
134B |
| 3.1 Understanding Numbers and Boolean Values - Resources.html |
134B |
| 3.1 While Loops and Incrementing - Resources.html |
134B |
| 3.2 3.9. Population variance known, z-score_lesson.xlsx |
11.21KB |
| 3.2 Audiobook sales.xlsx |
1.87MB |
| 3.2 Tableau operators.pdf |
121.83KB |
| 3. Adding an ELSE statement.mp4 |
23.28MB |
| 3. Adding an ELSE statement.srt |
6.28KB |
| 3. Applying COUNT() - Solution.html |
158B |
| 3. Coding Tips and Best Practices - II.mp4 |
29.69MB |
| 3. Coding Tips and Best Practices - II.srt |
4.95KB |
| 3. Confidence Intervals; Population Variance Known; z-score.mp4 |
78.19MB |
| 3. Confidence Intervals; Population Variance Known; z-score.srt |
9.80KB |
| 3. Connecting Data in Tableau.mp4 |
14.28MB |
| 3. Connecting Data in Tableau.srt |
2.57KB |
| 3. Create Stored Procedures with MySQL Syntax.mp4 |
34.25MB |
| 3. Create Stored Procedures with MySQL Syntax.srt |
5.73KB |
| 3. Creating Custom Fields.mp4 |
17.22MB |
| 3. Creating Custom Fields.srt |
2.85KB |
| 3. Creating the 'predicted_outputs' Database in MySQL.mp4 |
58.92MB |
| 3. Creating the 'predicted_outputs' Database in MySQL.srt |
7.90KB |
| 3. Define a Function in Another Way.mp4 |
25.25MB |
| 3. Define a Function in Another Way.srt |
6.42KB |
| 3. EXERCISE - Reasons vs Probability.html |
397B |
| 3. Exploring the Data Set.mp4 |
61.83MB |
| 3. Exploring the Data Set.srt |
7.04KB |
| 3. Getting Started with Data Connectivity, APIs, and Endpoints.mp4 |
104.15MB |
| 3. Getting Started with Data Connectivity, APIs, and Endpoints.srt |
8.54KB |
| 3. Important clarification!.html |
1.37KB |
| 3. Installing MySQL on macOS and Unix systems.html |
2.64KB |
| 3. Intro to Business Analytics, Data Analytics, and Data Science.mp4 |
64.47MB |
| 3. Intro to Business Analytics, Data Analytics, and Data Science.srt |
10.63KB |
| 3. Levels of Measurement.mp4 |
54.36MB |
| 3. Levels of Measurement.srt |
4.54KB |
| 3. Loading the Database.mp4 |
28.87MB |
| 3. Loading the Database.srt |
4.00KB |
| 3. Presenting the Data Set.mp4 |
40.87MB |
| 3. Presenting the Data Set.srt |
4.15KB |
| 3. Problem 2 Solution in SQL.mp4 |
39.65MB |
| 3. Problem 2 Solution in SQL.srt |
4.28KB |
| 3. Problem 3 Solution in SQL.mp4 |
33.26MB |
| 3. Problem 3 Solution in SQL.srt |
3.88KB |
| 3. Problem 4 Solution in SQL.mp4 |
30.33MB |
| 3. Problem 4 Solution in SQL.srt |
3.14KB |
| 3. Python's Logical and Identity Operators.mp4 |
30.07MB |
| 3. Python's Logical and Identity Operators.srt |
5.77KB |
| 3. SQL Subqueries with IN Embedded Inside WHERE - Solution.html |
522B |
| 3. The Null vs Alternative Hypothesis.html |
156B |
| 3. THE SQL CASE Statement - Solution 1.html |
720B |
| 3. Traditional Data Real-life Examples.mp4 |
29.95MB |
| 3. Traditional Data Real-life Examples.srt |
2.24KB |
| 3. Understanding Numbers and Boolean Values.mp4 |
17.07MB |
| 3. Understanding Numbers and Boolean Values.srt |
3.68KB |
| 3. Using Joins in Tableau.mp4 |
45.55MB |
| 3. Using Joins in Tableau.srt |
7.02KB |
| 3. Using Methods in Python.mp4 |
37.62MB |
| 3. Using Methods in Python.srt |
8.36KB |
| 3. Using Modules and Packages.mp4 |
8.51MB |
| 3. Using Modules and Packages.srt |
1.26KB |
| 3. Using SELECT - FROM - Solution.html |
314B |
| 3. Using While Loops and Incrementing.mp4 |
28.44MB |
| 3. Using While Loops and Incrementing.srt |
5.90KB |
| 3. What are JOINs - Exercise 2.html |
1.36KB |
| 3. What is a Distribution.html |
156B |
| 3. What is the Double Equality Sign.mp4 |
6.00MB |
| 3. What is the Double Equality Sign.srt |
1.82KB |
| 3. Why use MySQL.mp4 |
29.30MB |
| 3. Why use MySQL.srt |
2.76KB |
| 3. Why use Python.mp4 |
75.09MB |
| 3. Why use Python.srt |
6.96KB |
| 30.1 2.12. Correlation_lesson.xlsx |
24.99KB |
| 30. Analysis of the Next 5 Columns in DF.mp4 |
29.56MB |
| 30. Analysis of the Next 5 Columns in DF.srt |
4.34KB |
| 30. Correlation Coefficient.mp4 |
29.38MB |
| 30. Correlation Coefficient.srt |
4.71KB |
| 30. JOIN More than Two Tables - Solution.html |
1.72KB |
| 30. Using IS NOT NULL - IS NULL.mp4 |
13.96MB |
| 30. Using IS NOT NULL - IS NULL.srt |
1.95KB |
| 31. Correlation Coefficient.html |
156B |
| 31. Dealing with More Numerical Features which may Behave like Categorical Ones.mp4 |
39.61MB |
| 31. Dealing with More Numerical Features which may Behave like Categorical Ones.srt |
5.67KB |
| 31. Top Tips for Joins.mp4 |
50.91MB |
| 31. Top Tips for Joins.srt |
6.84KB |
| 31. Using IS NOT NULL - IS NULL - Exercise.html |
85B |
| 32.1 2.12. Correlation_exercise_solution.xlsx |
29.48KB |
| 32.1 Exercises and solutions.html |
170B |
| 32.2 2.12. Correlation_exercise.xlsx |
29.30KB |
| 32.2 Preprocessing.html |
156B |
| 32. A Final Note on this Section.mp4 |
21.62MB |
| 32. A Final Note on this Section.srt |
2.47KB |
| 32. Correlation Coefficient Exercise.html |
81B |
| 32. Top Tips for Joins - Exercise.html |
93B |
| 32. Using IS NOT NULL - IS NULL - Solution.html |
230B |
| 33. Top Tips for Joins - Solution.html |
322B |
| 33. Using Other Comparison Operators.mp4 |
41.21MB |
| 33. Using Other Comparison Operators.srt |
5.11KB |
| 34. The Differences Between UNION and UNION ALL.mp4 |
47.69MB |
| 34. The Differences Between UNION and UNION ALL.srt |
6.42KB |
| 34. Using Other Comparison Operators - Exercise.html |
269B |
| 35. The Differences Between UNION and UNION ALL - Exercise.html |
167B |
| 35. Using Other Comparison Operators - Solution.html |
507B |
| 36. The Differences Between UNION and UNION ALL - Solution.html |
1.07KB |
| 36. Using SELECT DISTINCT.mp4 |
15.63MB |
| 36. Using SELECT DISTINCT.srt |
2.60KB |
| 37. Using SELECT DISTINCT - Exercise.html |
355B |
| 38. Using SELECT DISTINCT - Solution.html |
154B |
| 39. Getting to Know Aggregate Functions.mp4 |
43.61MB |
| 39. Getting to Know Aggregate Functions.srt |
6.65KB |
| 4.1 3.9. Population variance known, z-score_exercise_solution.xlsx |
11.16KB |
| 4.1 Audiobook sales.xlsx |
1.87MB |
| 4.1 Course notes_hypothesis_testing.pdf |
656.44KB |
| 4.1 Create Lists with the range() Function - Resources.html |
134B |
| 4.1 Creating a custom field - Tableau Public Link.html |
157B |
| 4.1 Else if, for Brief - Elif - Resources.html |
134B |
| 4.1 employees_mod_db.pdf |
129.65KB |
| 4.1 GDP Data.xls |
155.50KB |
| 4.1 The Client-Server Model.pdf |
556.90KB |
| 4.1 Using a Function in Another Function - Resources.html |
134B |
| 4.2 3.9. Population variance known, z-score_exercise.xlsx |
10.83KB |
| 4.2 Check the data - Tableau Public Link.html |
150B |
| 4.2 Tesla sales data.xlsx |
2.75MB |
| 4.2 The 'employees_mod' database.html |
125B |
| 4.3 3.9.The-z-table.xlsx |
25.58KB |
| 4.3 Audiobook reviews.xlsx |
266.85KB |
| 4. An Example of Stored Procedures Part I.mp4 |
23.96MB |
| 4. An Example of Stored Procedures Part I.srt |
3.31KB |
| 4. Applying SUM().mp4 |
10.51MB |
| 4. Applying SUM().srt |
1.86KB |
| 4. Big Data Techniques.mp4 |
75.47MB |
| 4. Big Data Techniques.srt |
5.67KB |
| 4. Coding Tips and Best Practices - II.html |
156B |
| 4. Confidence Intervals; Population Variance Known; z-score Exercise.html |
81B |
| 4. Creating a Custom Field and Adding Calculations to a Table.mp4 |
29.71MB |
| 4. Creating a Custom Field and Adding Calculations to a Table.srt |
4.58KB |
| 4. Else if, for Brief – ELIF.mp4 |
53.36MB |
| 4. Else if, for Brief – ELIF.srt |
13.19KB |
| 4. Exploring Tableau's Interface.mp4 |
52.12MB |
| 4. Exploring Tableau's Interface.srt |
10.78KB |
| 4. Getting Started with Data Connectivity, APIs, and Endpoints.html |
156B |
| 4. How to use a Function within a Function.mp4 |
8.14MB |
| 4. How to use a Function within a Function.srt |
2.03KB |
| 4. Importing 'pymysql' in Python.mp4 |
19.05MB |
| 4. Importing 'pymysql' in Python.srt |
3.39KB |
| 4. Intro to Business Analytics, Data Analytics, and Data Science.html |
156B |
| 4. Levels of measurement.html |
156B |
| 4. Loading the Database.html |
621B |
| 4. Performing a Numbers Check - Attempt #1.mp4 |
25.04MB |
| 4. Performing a Numbers Check - Attempt #1.srt |
4.61KB |
| 4. Presenting the Data Set.html |
156B |
| 4. Problem 1 Solution in SQL.mp4 |
43.18MB |
| 4. Problem 1 Solution in SQL.srt |
5.62KB |
| 4. Problem 2 Solution in SQL - Code.html |
740B |
| 4. Problem 3 Solution in SQL - Code.html |
502B |
| 4. Problem 4 Solution in SQL - Code.html |
697B |
| 4. Programming vs the Rest of the World.mp4 |
27.83MB |
| 4. Programming vs the Rest of the World.srt |
4.05KB |
| 4. Python's Logical and Identity Operators.html |
156B |
| 4. Rejection Region and Significance Level.mp4 |
82.52MB |
| 4. Rejection Region and Significance Level.srt |
8.69KB |
| 4. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE.mp4 |
29.78MB |
| 4. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE.srt |
4.16KB |
| 4. The Client-Server Model.html |
30B |
| 4. The Functionality of INNER JOIN - Part I.mp4 |
42.29MB |
| 4. The Functionality of INNER JOIN - Part I.srt |
6.78KB |
| 4. The Normal Distribution.mp4 |
49.91MB |
| 4. The Normal Distribution.srt |
4.90KB |
| 4. THE SQL CASE Statement - Exercise 2.html |
376B |
| 4. Understanding Numbers and Boolean Values.html |
156B |
| 4. Use the range() Function to Create Lists.mp4 |
25.80MB |
| 4. Use the range() Function to Create Lists.srt |
7.66KB |
| 4. Using Methods in Python.html |
156B |
| 4. Using Modules and Packages.html |
156B |
| 4. Using Tableau to Analyze Reasons vs Probability.mp4 |
59.30MB |
| 4. Using Tableau to Analyze Reasons vs Probability.srt |
9.54KB |
| 4. Using WHERE.mp4 |
21.98MB |
| 4. Using WHERE.srt |
3.01KB |
| 4. What is the Double Equality Sign.html |
156B |
| 4. Why use MySQL.html |
156B |
| 4. Why Use Python.html |
156B |
| 40. Getting to Know Aggregate Functions - Exercise.html |
262B |
| 41. Getting to Know Aggregate Functions - Solution.html |
375B |
| 42. Using ORDER BY.mp4 |
41.29MB |
| 42. Using ORDER BY.srt |
4.12KB |
| 43. Using ORDER BY - Exercise.html |
106B |
| 44. Using ORDER BY - Solution.html |
186B |
| 45. Using GROUP BY.mp4 |
53.56MB |
| 45. Using GROUP BY.srt |
6.88KB |
| 46. Using Aliases (AS).mp4 |
21.29MB |
| 46. Using Aliases (AS).srt |
2.69KB |
| 47. Using Aliases (AS) - Exercise.html |
303B |
| 48. Using Aliases (AS) - Solution.html |
344B |
| 49. Using HAVING.mp4 |
33.02MB |
| 49. Using HAVING.srt |
4.05KB |
| 5.1 2.3. Categorical variables. Visualization techniques_lesson.xlsx |
30.58KB |
| 5.1 365_DataScience.png |
7.24MB |
| 5.1 A Note on Boolean Values - Resources.html |
134B |
| 5.1 Audiobook sales.xlsx |
1.87MB |
| 5.1 Combining Conditional Statements and Functions - Resources.html |
134B |
| 5.1 GDP Data - Tableau Public Link.html |
144B |
| 5.1 List Slicing - Resources.html |
134B |
| 5.1 Reassign Values - Resources.html |
134B |
| 5.1 Strings - Resources.html |
134B |
| 5.1 Tesla sales data.xlsx |
2.75MB |
| 5.2 365_DataScience_Diagram.pdf |
323.08KB |
| 5.2 Addint totals and subtotals - Tableau Public Link.html |
150B |
| 5.2 Audiobook reviews.xlsx |
266.85KB |
| 5.2 GDP Data.xls |
155.50KB |
| 5.3 Check the data - Tableau Public Link.html |
143B |
| 5. A Brief Summary of Regression Analysis.html |
2.84KB |
| 5. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture.mp4 |
108.97MB |
| 5. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture.srt |
11.87KB |
| 5. Adding Totals and Subtotals.mp4 |
20.90MB |
| 5. Adding Totals and Subtotals.srt |
2.03KB |
| 5. An Additional Explanation of Boolean Values.mp4 |
20.00MB |
| 5. An Additional Explanation of Boolean Values.srt |
6.21KB |
| 5. An Example of Stored Procedures Part II.mp4 |
42.14MB |
| 5. An Example of Stored Procedures Part II.srt |
6.14KB |
| 5. Applying SUM() - Exercise.html |
117B |
| 5. Become Better Acquainted with APIs.mp4 |
115.63MB |
| 5. Become Better Acquainted with APIs.srt |
10.39KB |
| 5. Big Data Techniques.html |
156B |
| 5. Blending Data in Tableau.mp4 |
32.32MB |
| 5. Blending Data in Tableau.srt |
6.51KB |
| 5. Categorical Variables - Visualization Techniques.mp4 |
36.62MB |
| 5. Categorical Variables - Visualization Techniques.srt |
6.30KB |
| 5. Chart 2 Visualizing the Solution in Tableau.mp4 |
49.36MB |
| 5. Chart 2 Visualizing the Solution in Tableau.srt |
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| 5. Chart 3 Visualizing the Solution in Tableau.mp4 |
40.50MB |
| 5. Chart 3 Visualizing the Solution in Tableau.srt |
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| 5. Chart 4 Visualizing the Solution in Tableau.mp4 |
22.72MB |
| 5. Chart 4 Visualizing the Solution in Tableau.srt |
3.78KB |
| 5. Confidence interval clarifications.mp4 |
57.04MB |
| 5. Confidence interval clarifications.srt |
5.41KB |
| 5. Creating a Connection and Cursor.mp4 |
20.97MB |
| 5. Creating a Connection and Cursor.srt |
3.53KB |
| 5. EXERCISE - Transportation Expense vs Probability.html |
553B |
| 5. How to Reassign Values.mp4 |
4.01MB |
| 5. How to Reassign Values.srt |
1.29KB |
| 5. Introducing Databases.mp4 |
102.86MB |
| 5. Introducing Databases.srt |
6.71KB |
| 5. Let's Create our first Chart in Tableau!.mp4 |
58.97MB |
| 5. Let's Create our first Chart in Tableau!.srt |
7.85KB |
| 5. Linking GUI with the MySQL Server.mp4 |
19.23MB |
| 5. Linking GUI with the MySQL Server.srt |
3.36KB |
| 5. Problem 1 Solution in SQL - Code.html |
370B |
| 5. Rejection Region and Significance Level.html |
156B |
| 5. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE - Exercise.html |
175B |
| 5. Strings.mp4 |
50.65MB |
| 5. Strings.srt |
14.55KB |
| 5. The Functionality of INNER JOIN - Part II.mp4 |
67.09MB |
| 5. The Functionality of INNER JOIN - Part II.srt |
6.60KB |
| 5. The Normal Distribution.html |
156B |
| 5. THE SQL CASE Statement - Solution 2.html |
1.76KB |
| 5. Use Conditional Statements and Functions Together.mp4 |
15.68MB |
| 5. Use Conditional Statements and Functions Together.srt |
3.51KB |
| 5. Use the range() Function to Create Lists.html |
156B |
| 5. Using WHERE - Exercise.html |
93B |
| 5. What is List Slicing.mp4 |
30.79MB |
| 5. What is List Slicing.srt |
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| 5. What is the Standard Library.mp4 |
18.03MB |
| 5. What is the Standard Library.srt |
3.56KB |
| 5. Why use Jupyter.mp4 |
44.30MB |
| 5. Why use Jupyter.srt |
4.64KB |
| 50. Using HAVING - Exercise.html |
814B |
| 51. Using HAVING - Solution.html |
629B |
| 52. Using WHERE vs HAVING - Part I.mp4 |
34.89MB |
| 52. Using WHERE vs HAVING - Part I.srt |
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| 53. Using WHERE vs HAVING - Part II.mp4 |
24.83MB |
| 53. Using WHERE vs HAVING - Part II.srt |
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| 54. Using WHERE vs HAVING - Part II - Exercise.html |
199B |
| 55. Using WHERE vs HAVING - Part II - Solution.html |
370B |
| 56. Using LIMIT.mp4 |
47.26MB |
| 56. Using LIMIT.srt |
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| 57. Using LIMIT - Exercise.html |
65B |
| 58. Using LIMIT - Solution.html |
171B |
| 6.1 3.4. Standard normal distribution_lesson.xlsx |
10.38KB |
| 6.1 Adding a custom calculation - Tableau Public Link.html |
154B |
| 6.1 Check the data - Tableau Public Link.html |
143B |
| 6.1 Creating Functions Containing a Few Arguments - Resources.html |
134B |
| 6.1 Tuples - Resources.html |
134B |
| 6.1 Use Conditional Statements and Loops Together - Resources.html |
134B |
| 6.2 Audiobook reviews.xlsx |
266.85KB |
| 6.3 Audiobook sales.xlsx |
1.87MB |
| 6. Adding a Custom Calculation.mp4 |
36.48MB |
| 6. Adding a Custom Calculation.srt |
3.78KB |
| 6. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture.html |
156B |
| 6. An Additional Explanation of Boolean Values.html |
156B |
| 6. An Example of Stored Procedures Part II - Exercise.html |
114B |
| 6. Applying SUM() - Solution.html |
237B |
| 6. Become Better Acquainted with APIs.html |
156B |
| 6. Big Data Real-life Examples.mp4 |
22.06MB |
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1.88KB |
| 6. Categorical variables. Visualization Techniques.html |
156B |
| 6. Combine Conditional Statements and Loops.mp4 |
27.78MB |
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7.46KB |
| 6. EXERCISE - Creating 'df_new_obs'.html |
322B |
| 6. Exporting Your Output from SQL and Loading it in Tableau.mp4 |
31.55MB |
| 6. Exporting Your Output from SQL and Loading it in Tableau.srt |
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| 6. How to Create Functions Which Contain a Few Arguments.mp4 |
14.71MB |
| 6. How to Create Functions Which Contain a Few Arguments.srt |
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| 6. How to Reassign Values.html |
156B |
| 6. Introducing Databases.html |
156B |
| 6. Performing a Numbers Check - Attempt #2.mp4 |
28.60MB |
| 6. Performing a Numbers Check - Attempt #2.srt |
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| 6. Read me!!!.html |
1.00KB |
| 6. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE - Solution.html |
573B |
| 6. Strings.html |
156B |
| 6. Student's T Distribution.mp4 |
35.39MB |
| 6. Student's T Distribution.srt |
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| 6. The Approach we will Take to Solve this Exercise.mp4 |
20.16MB |
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| 6. The Functionality of INNER JOIN - PART II - Exercise.html |
140B |
| 6. THE SQL CASE Statement - Exercise 3.html |
411B |
| 6. The Standard Normal Distribution.mp4 |
22.51MB |
| 6. The Standard Normal Distribution.srt |
3.94KB |
| 6. Type I Error and Type II Error.mp4 |
43.95MB |
| 6. Type I Error and Type II Error.srt |
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| 6. Using Tableau to Analyze Transportation Expense vs Probability.mp4 |
40.63MB |
| 6. Using Tableau to Analyze Transportation Expense vs Probability.srt |
7.21KB |
| 6. Using WHERE - Solution.html |
221B |
| 6. What is the Standard Library.html |
156B |
| 6. Why Use Jupyter.html |
156B |
| 6. Working with Tuples.mp4 |
29.49MB |
| 6. Working with Tuples.srt |
6.92KB |
| 7.1 365_DataScience.png |
7.24MB |
| 7.1 All In - Conditional Statements, Functions, and Loops - Resources.html |
134B |
| 7.1 Dictionaries - Resources.html |
134B |
| 7.1 First chart - Tableau Public Link.html |
148B |
| 7.1 How to Add Comments - Resources.html |
134B |
| 7.1 Inserting a filter - Tableau Public Link.html |
155B |
| 7.1 Notable Built-In Functions in Python - Resources.html |
134B |
| 7.1 Statistics - PDF with Excel Solutions that don't visualize properly.pdf |
289.12KB |
| 7.2 2.3. Categorical variables. Visualization techniques_exercise.xlsx |
15.24KB |
| 7.2 Audiobook reviews.xlsx |
266.85KB |
| 7.3 2.3. Categorical variables. Visualization techniques_exercise_solution.xlsx |
41.11KB |
| 7.3 Audiobook sales.xlsx |
1.87MB |
| 7. All In – Conditional Statements, Functions, and Loops.mp4 |
9.50MB |
| 7. All In – Conditional Statements, Functions, and Loops.srt |
2.41KB |
| 7. An Example of Stored Procedures Part II - Solution.html |
704B |
| 7. An Overview of our Data Science Infographic.mp4 |
67.83MB |
| 7. An Overview of our Data Science Infographic.srt |
5.10KB |
| 7. Built-In Functions in Python Worth Knowing.mp4 |
22.02MB |
| 7. Built-In Functions in Python Worth Knowing.srt |
4.21KB |
| 7. Business Intelligence (BI) Techniques.mp4 |
89.85MB |
| 7. Business Intelligence (BI) Techniques.srt |
8.63KB |
| 7. Categorical Variables Exercise.html |
81B |
| 7. Chart 1 Visualizing the Solution in Tableau - Part I.mp4 |
41.14MB |
| 7. Chart 1 Visualizing the Solution in Tableau - Part I.srt |
7.46KB |
| 7. Communication through Text Files.mp4 |
60.33MB |
| 7. Communication through Text Files.srt |
5.47KB |
| 7. Completing 100%.html |
1.87KB |
| 7. Creating a New User and a New Connection to it.mp4 |
47.71MB |
| 7. Creating a New User and a New Connection to it.srt |
6.73KB |
| 7. Creating the 'predicted_outputs' Table in MySQL.mp4 |
52.46MB |
| 7. Creating the 'predicted_outputs' Table in MySQL.srt |
5.98KB |
| 7. Dropping Variables We Don't Need.mp4 |
61.69MB |
| 7. Dropping Variables We Don't Need.srt |
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| 7. First Chart.mp4 |
27.24MB |
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| 7. How to Add Comments.mp4 |
11.27MB |
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3.87KB |
| 7. How to Import Modules in Python.mp4 |
19.93MB |
| 7. How to Import Modules in Python.srt |
4.81KB |
| 7. How to Install Python and Jupyter.mp4 |
51.01MB |
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8.84KB |
| 7. Inserting a Filter.mp4 |
27.63MB |
| 7. Inserting a Filter.srt |
2.67KB |
| 7. MIN() and MAX().mp4 |
10.27MB |
| 7. MIN() and MAX().srt |
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| 7. Python Dictionaries.mp4 |
41.70MB |
| 7. Python Dictionaries.srt |
8.43KB |
| 7. Relational Database Fundamentals.mp4 |
107.70MB |
| 7. Relational Database Fundamentals.srt |
6.68KB |
| 7. SQL Subqueries Nested in SELECT and FROM.mp4 |
71.65MB |
| 7. SQL Subqueries Nested in SELECT and FROM.srt |
8.58KB |
| 7. Student's T Distribution.html |
156B |
| 7. The Functionality of INNER JOIN - PART II - Solution.html |
443B |
| 7. THE SQL CASE Statement - Solution 3.html |
744B |
| 7. The Standard Normal Distribution.html |
156B |
| 7. Type I Error and Type II Error.html |
156B |
| 7. Using AND.mp4 |
16.73MB |
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2.52KB |
| 8.1 13. Types of Joins.xlsx |
56.39KB |
| 8.1 2.4. Numerical variables. Frequency distribution table_lesson.xlsx |
11.44KB |
| 8.1 3.11. Population variance unknown, t-score_lesson.xlsx |
10.78KB |
| 8.1 3.4.Standard-normal-distribution-exercise.xlsx |
11.99KB |
| 8.1 4.4. Test for the mean. Population variance known_lesson.xlsx |
10.96KB |
| 8.1 Iterating over Dictionaries - Resources.html |
134B |
| 8.1 Second chart - Tableau Public Link.html |
149B |
| 8.2 3.11. The t-table.xlsx |
15.85KB |
| 8.2 3.4.Standard-normal-distribution-exercise-solution.xlsx |
24.04KB |
| 8.2 Audiobook reviews.xlsx |
266.85KB |
| 8.3 Audiobook sales.xlsx |
1.87MB |
| 8. An Overview of our Data Science Infographic.html |
156B |
| 8. Business Intelligence (BI) Techniques.html |
156B |
| 8. Chart 1 Visualizing the Solution in Tableau - Part II.mp4 |
45.57MB |
| 8. Chart 1 Visualizing the Solution in Tableau - Part II.srt |
6.80KB |
| 8. Communication through Text Files.html |
156B |
| 8. Confidence Intervals; Population Variance Unknown; t-score.mp4 |
32.19MB |
| 8. Confidence Intervals; Population Variance Unknown; t-score.srt |
5.71KB |
| 8. Creating a Procedure in MySQL Another Way.mp4 |
32.44MB |
| 8. Creating a Procedure in MySQL Another Way.srt |
3.59KB |
| 8. Executing and SQL SELECT Statement from Python.mp4 |
25.36MB |
| 8. Executing and SQL SELECT Statement from Python.srt |
3.69KB |
| 8. EXERCISE - Dropping Variables We Don't Need.html |
866B |
| 8. Extra Info on Using Joins.mp4 |
43.89MB |
| 8. Extra Info on Using Joins.srt |
5.00KB |
| 8. Familiarize Yourself with the MySQL Interface.mp4 |
40.25MB |
| 8. Familiarize Yourself with the MySQL Interface.srt |
6.35KB |
| 8. How to Add Comments.html |
156B |
| 8. How to Import Modules in Python.html |
156B |
| 8. How to Iterate over Dictionaries.mp4 |
29.64MB |
| 8. How to Iterate over Dictionaries.srt |
7.93KB |
| 8. MIN() and MAX() - Exercise.html |
128B |
| 8. Numerical Variables - Frequency Distribution Table.mp4 |
25.83MB |
| 8. Numerical Variables - Frequency Distribution Table.srt |
4.36KB |
| 8. Python Dictionaries.html |
156B |
| 8. Python - Functions.html |
156B |
| 8. Relational Database Fundamentals.html |
156B |
| 8. Second Chart.mp4 |
17.08MB |
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3.86KB |
| 8. SQL Subqueries Embedded in SELECT and FROM - Exercise 1.html |
402B |
| 8. Test for the Mean. Population Variance Known.mp4 |
54.27MB |
| 8. Test for the Mean. Population Variance Known.srt |
8.14KB |
| 8. The Standard Normal Distribution Exercise.html |
81B |
| 8. Understanding Jupyter’s Interface – Dashboard.mp4 |
13.80MB |
| 8. Understanding Jupyter’s Interface – Dashboard.srt |
3.73KB |
| 8. Using AND - Exercise.html |
78B |
| 8. Working with Joins in Tableau.mp4 |
45.13MB |
| 8. Working with Joins in Tableau.srt |
5.32KB |
| 9.1 3.11. Population variance unknown, t-score_exercise.xlsx |
10.62KB |
| 9.1 4.4. Test for the mean. Population variance known_exercise.xlsx |
11.03KB |
| 9.1 Audiobook reviews.xlsx |
266.85KB |
| 9.1 Jupyter_Shortcuts.pdf |
589.59KB |
| 9.1 Line Continuation - Resources.html |
134B |
| 9.2 3.11. The t-table.xlsx |
15.85KB |
| 9.2 4.4. Test for the mean. Population variance known_exercise_solution.xlsx |
11.22KB |
| 9.2 Third chart - Tableau Public Link.html |
148B |
| 9.3 3.11. Population variance unknown, t-score_exercise_solution.xlsx |
11.10KB |
| 9.3 Audiobook sales.xlsx |
1.87MB |
| 9. Business Intelligence (BI) Real-life Examples.mp4 |
29.51MB |
| 9. Business Intelligence (BI) Real-life Examples.srt |
2.13KB |
| 9. Central Limit Theorem.mp4 |
62.91MB |
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5.63KB |
| 9. Comparing Databases and Spreadsheets.mp4 |
156.77MB |
| 9. Comparing Databases and Spreadsheets.srt |
10.39KB |
| 9. Confidence Intervals; Population Variance Unknown; t-score Exercise.html |
82B |
| 9. Create Stored Procedures with an Input Parameter.mp4 |
64.51MB |
| 9. Create Stored Procedures with an Input Parameter.srt |
7.55KB |
| 9. Duplicate Rows.mp4 |
46.53MB |
| 9. Duplicate Rows.srt |
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| 9. MIN() and MAX() - Solution.html |
352B |
| 9. Numerical variables. Using a frequency distribution table.html |
156B |
| 9. Sending Data from Jupyter to Workbench - Part I.mp4 |
76.28MB |
| 9. Sending Data from Jupyter to Workbench - Part I.srt |
7.84KB |
| 9. SOLUTION - Dropping Variables We Don't Need.html |
113B |
| 9. SQL Subqueries Embedded in SELECT and FROM - Exercise 2.html |
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| 9. Test for the Mean. Population Variance Known Exercise.html |
82B |
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15.25MB |
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30.60MB |
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7.79KB |
| 9. Understanding Line Continuation.mp4 |
2.35MB |
| 9. Understanding Line Continuation.srt |
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| 9. Using AND - Solution.html |
241B |
| 9. What is Software Integration and How is it Applied.mp4 |
63.73MB |
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6.71KB |
| Download Paid Udemy Courses For Free.url |
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| GetFreeCourses.Co.url |
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| GetFreeCourses.Co.url |
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