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文件列表
11. Statistics - Practical Example Descriptive Statistics/1. Practical Example.mp4
168.3 MB
17. Part 3 Relational Database Theory & Introduction to SQL/9. Comparing Databases and Spreadsheets.mp4
164.4 MB
5. Intro to Data and Data Science - Common Data Science Techniques/1. Traditional Data Techniques.mp4
145.1 MB
3. Intro to Data and Data Science - The Relationship between Different Fields/1. When are Traditional data, Big Data, BI, Traditional Data Science and ML applied.mp4
132.9 MB
5. Intro to Data and Data Science - Common Data Science Techniques/15. Machine Learning (ML) Types of Machine Learning.mp4
131.1 MB
45. Part 7 Integration - Software Integration/5. Become Better Acquainted with APIs.mp4
121.2 MB
5. Intro to Data and Data Science - Common Data Science Techniques/10. Traditional Methods Techniques.mp4
117.1 MB
2. Intro to Data and Data Science - The Different Data Science Fields/5. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture.mp4
114.3 MB
17. Part 3 Relational Database Theory & Introduction to SQL/7. Relational Database Fundamentals.mp4
112.9 MB
45. Part 7 Integration - Software Integration/3. Getting Started with Data Connectivity, APIs, and Endpoints.mp4
109.2 MB
6. Intro to Data and Data Science - Common Data Science Tools/1. Programming Languages & Software Employed in Data Science - All the Tools Needed.mp4
108.4 MB
17. Part 3 Relational Database Theory & Introduction to SQL/5. Introducing Databases.mp4
107.9 MB
14. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4
107.6 MB
5. Intro to Data and Data Science - Common Data Science Techniques/13. Machine Learning (ML) Techniques.mp4
104.1 MB
18. SQL - Install and get to know MySQL/1. Installing MySQL Workbench and Server.mp4
103.9 MB
30. Part 5 Combining SQL and Tableau - Introduction/1. Introduction to Software Integration.mp4
97.2 MB
15. Statistics - Hypothesis Testing/1. The Null vs Alternative Hypothesis.mp4
96.6 MB
17. Part 3 Relational Database Theory & Introduction to SQL/11. Important Database Terminology.mp4
94.9 MB
23. SQL - SQL JOINs/22. The Functionality of CROSS JOIN.mp4
94.2 MB
5. Intro to Data and Data Science - Common Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4
94.2 MB
4. Intro to Data and Data Science - What is the Purpose of each Data Science Field/1. Why do we Need each of these Disciplines.mp4
91.7 MB
30. Part 5 Combining SQL and Tableau - Introduction/2. Combining SQL and Tableau.mp4
88.0 MB
15. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4
86.5 MB
2. Intro to Data and Data Science - The Different Data Science Fields/1. Why Are There So Many Business and Data Science Buzzwords.mp4
85.3 MB
47. Integration - Data Preprocessing Step by Step/11. Splitting a Variable into Multiple Dummy Variables.mp4
85.1 MB
13. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.mp4
82.0 MB
48. Integration - Integrating Python and SQL/9. Sending Data from Jupyter to Workbench - Part I.mp4
80.0 MB
5. Intro to Data and Data Science - Common Data Science Techniques/4. Big Data Techniques.mp4
79.1 MB
36. Part 6 Introduction to Programming with Python/3. Why use Python.mp4
78.7 MB
47. Integration - Data Preprocessing Step by Step/16. Categorizing the Various Reasons for Absence.mp4
78.2 MB
8. Intro to Data and Data Science - Dispelling Common Misconceptions/1. Dispelling common Misconceptions.mp4
76.3 MB
10. Statistics - Descriptive Statistics/1. Types of Data.mp4
76.0 MB
24. SQL - SQL Subqueries/7. SQL Subqueries Nested in SELECT and FROM.mp4
75.1 MB
13. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.mp4
73.9 MB
17. Part 3 Relational Database Theory & Introduction to SQL/1. Why use SQL.mp4
73.5 MB
16. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.mp4
72.7 MB
45. Part 7 Integration - Software Integration/1. Getting Started with Data, Servers, Clients, Requests, and Responses.mp4
72.4 MB
2. Intro to Data and Data Science - The Different Data Science Fields/7. An Overview of our Data Science Infographic.mp4
71.1 MB
23. SQL - SQL JOINs/5. The Functionality of INNER JOIN - Part II.mp4
70.3 MB
25. SQL - Stored Routines/9. Create Stored Procedures with an Input Parameter.mp4
67.6 MB
2. Intro to Data and Data Science - The Different Data Science Fields/3. Intro to Business Analytics, Data Analytics, and Data Science.mp4
67.6 MB
45. Part 7 Integration - Software Integration/9. What is Software Integration and How is it Applied.mp4
66.8 MB
12. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.mp4
66.0 MB
47. Integration - Data Preprocessing Step by Step/3. Exploring the Data Set.mp4
64.8 MB
47. Integration - Data Preprocessing Step by Step/7. Dropping Variables We Don't Need.mp4
64.7 MB
12. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.mp4
64.7 MB
45. Part 7 Integration - Software Integration/7. Communication through Text Files.mp4
63.3 MB
26. SQL - The CASE Statement/1. The SQL CASE Statement.mp4
62.3 MB
49. Integration - Using Tableau to Analyze the Predicted Outputs/4. Using Tableau to Analyze Reasons vs Probability.mp4
62.2 MB
27. Part 4 Introduction to Tableau/5. Let's Create our first Chart in Tableau!.mp4
61.8 MB
48. Integration - Integrating Python and SQL/3. Creating the 'predicted_outputs' Database in MySQL.mp4
61.8 MB
36. Part 6 Introduction to Programming with Python/1. A 5-minute explanation of Programming.mp4
61.4 MB
48. Integration - Integrating Python and SQL/10. Sending Data from Jupyter to Workbench - Part II.mp4
61.0 MB
9. Part 2 Statistics - Population and Sample/1. Population vs sample.mp4
60.9 MB
47. Integration - Data Preprocessing Step by Step/26. Analyzing the Date Column.mp4
60.1 MB
13. Statistics - Inferential Statistics Confidence Intervals/5. Confidence interval clarifications.mp4
59.8 MB
49. Integration - Using Tableau to Analyze the Predicted Outputs/2. Using Tableau to Analyze Age vs Probability.mp4
59.2 MB
35. Combining SQL and Tableau - Problem 5/1. Problem 5 Organizing Charts 1-4 into a Beautiful Dashboard.mp4
58.9 MB
15. Statistics - Hypothesis Testing/10. p-value.mp4
58.6 MB
1. Part 1 Introduction/1. What Does the Course Cover.mp4
57.8 MB
23. SQL - SQL JOINs/11. The Functionality of LEFT JOIN - Part II.mp4
57.5 MB
25. SQL - Stored Routines/13. SQL Variables.mp4
57.2 MB
10. Statistics - Descriptive Statistics/3. Levels of Measurement.mp4
57.0 MB
7. Intro to Data and Data Science - Data Science Career Paths/1. Data Science Job Positions What do they Involve and What to Look out for.mp4
57.0 MB
48. Integration - Integrating Python and SQL/2. How to Use the 'absenteeism_module' in Python - Part II.mp4
57.0 MB
15. Statistics - Hypothesis Testing/8. Test for the Mean. Population Variance Known.mp4
56.9 MB
21. SQL - Practical Application of the SQL SELECT Statement/45. Using GROUP BY.mp4
56.2 MB
2. Intro to Data and Data Science - The Different Data Science Fields/2. Analysis vs Analytics.mp4
56.1 MB
40. Python - Conditional Statements/4. Else if, for Brief – ELIF.mp4
56.0 MB
48. Integration - Integrating Python and SQL/7. Creating the 'predicted_outputs' Table in MySQL.mp4
55.0 MB
46. Integration - What is contained in this Course/1. Solving a Business Exercise with Python, SQL, and Tableau.mp4
54.9 MB
27. Part 4 Introduction to Tableau/4. Exploring Tableau's Interface.mp4
54.6 MB
36. Part 6 Introduction to Programming with Python/7. How to Install Python and Jupyter.mp4
53.5 MB
10. Statistics - Descriptive Statistics/22. Variance.mp4
53.4 MB
23. SQL - SQL JOINs/31. Top Tips for Joins.mp4
53.4 MB
23. SQL - SQL JOINs/10. The Functionality of LEFT JOIN - Part I.mp4
53.3 MB
37. Python - Python Variables and Data Types/5. Strings.mp4
53.1 MB
15. Statistics - Hypothesis Testing/14. Test for the Mean. Dependent Samples.mp4
52.9 MB
13. Statistics - Inferential Statistics Confidence Intervals/1. What are Confidence Intervals.mp4
52.4 MB
12. Statistics - Inferential Statistics Fundamentals/4. The Normal Distribution.mp4
52.3 MB
32. Combining SQL and Tableau - Problem 2/5. Chart 2 Visualizing the Solution in Tableau.mp4
51.8 MB
25. SQL - Stored Routines/16. The Benefit of User-Defined Functions in MySQL.mp4
51.1 MB
12. Statistics - Inferential Statistics Fundamentals/13. Estimators and Estimates.mp4
50.2 MB
47. Integration - Data Preprocessing Step by Step/27. Retrieving the Month Value From the Date Column.mp4
50.1 MB
18. SQL - Install and get to know MySQL/7. Creating a New User and a New Connection to it.mp4
50.0 MB
23. SQL - SQL JOINs/34. The Differences Between UNION and UNION ALL.mp4
50.0 MB
21. SQL - Practical Application of the SQL SELECT Statement/56. Using LIMIT.mp4
49.6 MB
13. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.mp4
49.5 MB
23. SQL - SQL JOINs/9. Duplicate Rows.mp4
48.8 MB
31. Combining SQL and Tableau - Problem 1/8. Chart 1 Visualizing the Solution in Tableau - Part II.mp4
47.8 MB
29. Tableau - The Tableau Exercise/3. Using Joins in Tableau.mp4
47.8 MB
10. Statistics - Descriptive Statistics/24. Standard Deviation and Coefficient of Variation.mp4
47.3 MB
28. Tableau - Tableau functionalities/8. Working with Joins in Tableau.mp4
47.3 MB
36. Part 6 Introduction to Programming with Python/5. Why use Jupyter.mp4
46.5 MB
17. Part 3 Relational Database Theory & Introduction to SQL/15. The Concept of Relational Schemas Foreign Key.mp4
46.1 MB
15. Statistics - Hypothesis Testing/6. Type I Error and Type II Error.mp4
46.1 MB
23. SQL - SQL JOINs/8. Extra Info on Using Joins.mp4
46.0 MB
21. SQL - Practical Application of the SQL SELECT Statement/39. Getting to Know Aggregate Functions.mp4
45.7 MB
31. Combining SQL and Tableau - Problem 1/4. Problem 1 Solution in SQL.mp4
45.3 MB
17. Part 3 Relational Database Theory & Introduction to SQL/13. The Concept of Relational Schemas Primary Key.mp4
45.0 MB
5. Intro to Data and Data Science - Common Data Science Techniques/12. Traditional Methods Real-life Examples.mp4
44.9 MB
23. SQL - SQL JOINs/4. The Functionality of INNER JOIN - Part I.mp4
44.3 MB
23. SQL - SQL JOINs/1. What are JOINs.mp4
44.2 MB
25. SQL - Stored Routines/5. An Example of Stored Procedures Part II.mp4
44.2 MB
42. Python - Python Sequences/7. Python Dictionaries.mp4
43.7 MB
17. Part 3 Relational Database Theory & Introduction to SQL/19. The Concept of Relational Schemas Relationships Between Tables.mp4
43.7 MB
23. SQL - SQL JOINs/28. JOIN More than Two Tables.mp4
43.4 MB
21. SQL - Practical Application of the SQL SELECT Statement/42. Using ORDER BY.mp4
43.3 MB
21. SQL - Practical Application of the SQL SELECT Statement/33. Using Other Comparison Operators.mp4
43.2 MB
31. Combining SQL and Tableau - Problem 1/7. Chart 1 Visualizing the Solution in Tableau - Part I.mp4
43.1 MB
46. Integration - What is contained in this Course/3. Presenting the Data Set.mp4
42.9 MB
49. Integration - Using Tableau to Analyze the Predicted Outputs/6. Using Tableau to Analyze Transportation Expense vs Probability.mp4
42.6 MB
47. Integration - Data Preprocessing Step by Step/10. A Deeper Look at the 'Reasons for Absence' Column.mp4
42.5 MB
33. Combining SQL and Tableau - Problem 3/5. Chart 3 Visualizing the Solution in Tableau.mp4
42.5 MB
18. SQL - Install and get to know MySQL/8. Familiarize Yourself with the MySQL Interface.mp4
42.2 MB
15. Statistics - Hypothesis Testing/12. Test for the Mean. Population Variance Unknown.mp4
42.1 MB
10. Statistics - Descriptive Statistics/14. Cross Table and Scatter Plot.mp4
41.7 MB
32. Combining SQL and Tableau - Problem 2/3. Problem 2 Solution in SQL.mp4
41.6 MB
47. Integration - Data Preprocessing Step by Step/31. Dealing with More Numerical Features which may Behave like Categorical Ones.mp4
41.5 MB
27. Part 4 Introduction to Tableau/1. Why Use Tableau Make Your Data Make an Impact.mp4
41.1 MB
46. Integration - What is contained in this Course/2. Presenting the Task Absenteeism at Work.mp4
41.0 MB
47. Integration - Data Preprocessing Step by Step/17. Concatenation in Python.mp4
40.6 MB
41. Python - Functions/2. How to Create a Function with a Parameter.mp4
40.0 MB
19. SQL - Best SQL Practices/1. Coding Tips and Best Practices - I.mp4
39.7 MB
42. Python - Python Sequences/1. Introduction to Lists.mp4
39.6 MB
42. Python - Python Sequences/3. Using Methods in Python.mp4
39.4 MB
24. SQL - SQL Subqueries/1. SQL Subqueries with IN Embedded Inside WHERE.mp4
39.3 MB
10. Statistics - Descriptive Statistics/17. Mean, median and mode.mp4
38.9 MB
5. Intro to Data and Data Science - Common Data Science Techniques/17. Machine Learning (ML) Real-life Examples.mp4
38.6 MB
10. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.mp4
38.4 MB
28. Tableau - Tableau functionalities/6. Adding a Custom Calculation.mp4
38.3 MB
15. Statistics - Hypothesis Testing/18. Test for the mean. Independent samples (Part 2).mp4
38.1 MB
21. SQL - Practical Application of the SQL SELECT Statement/21. Using LIKE - NOT LIKE.mp4
37.8 MB
21. SQL - Practical Application of the SQL SELECT Statement/1. Using SELECT - FROM.mp4
37.7 MB
13. Statistics - Inferential Statistics Confidence Intervals/6. Student's T Distribution.mp4
37.1 MB
21. SQL - Practical Application of the SQL SELECT Statement/52. Using WHERE vs HAVING - Part I.mp4
36.6 MB
25. SQL - Stored Routines/3. Create Stored Procedures with MySQL Syntax.mp4
35.9 MB
31. Combining SQL and Tableau - Problem 1/1. Problem 1 Task.mp4
35.4 MB
44. Python - Advanced Python tools/1. Introduction to Object Oriented Programming (OOP).mp4
35.2 MB
33. Combining SQL and Tableau - Problem 3/3. Problem 3 Solution in SQL.mp4
34.9 MB
21. SQL - Practical Application of the SQL SELECT Statement/10. Using OR.mp4
34.8 MB
21. SQL - Practical Application of the SQL SELECT Statement/49. Using HAVING.mp4
34.6 MB
48. Integration - Integrating Python and SQL/11. Sending Data from Jupyter to Workbench - Part III.mp4
34.4 MB
25. SQL - Stored Routines/10. Create Stored Procedures with an Output Parameter.mp4
34.1 MB
25. SQL - Stored Routines/8. Creating a Procedure in MySQL Another Way.mp4
34.0 MB
29. Tableau - The Tableau Exercise/5. Blending Data in Tableau.mp4
33.9 MB
23. SQL - SQL JOINs/14. The Functionality of RIGHT JOIN.mp4
33.8 MB
13. Statistics - Inferential Statistics Confidence Intervals/8. Confidence Intervals; Population Variance Unknown; t-score.mp4
33.7 MB
21. SQL - Practical Application of the SQL SELECT Statement/16. Using IN - NOT IN.mp4
33.7 MB
21. SQL - Practical Application of the SQL SELECT Statement/13. Operator Precedence and Logical Order.mp4
33.6 MB
23. SQL - SQL JOINs/15. Differences between the New and the Old Join Syntax.mp4
33.6 MB
29. Tableau - The Tableau Exercise/10. Creating and Formatting a Dashboard.mp4
33.4 MB
29. Tableau - The Tableau Exercise/11. Adding Interactive Filters for Improved Analysis.mp4
33.2 MB
31. Combining SQL and Tableau - Problem 1/6. Exporting Your Output from SQL and Loading it in Tableau.mp4
33.1 MB
42. Python - Python Sequences/5. What is List Slicing.mp4
32.3 MB
36. Part 6 Introduction to Programming with Python/9. Understanding Jupyter’s Interface – Prerequisites for Coding.mp4
32.1 MB
34. Combining SQL and Tableau - Problem 4/3. Problem 4 Solution in SQL.mp4
31.8 MB
39. Python - Other Python Operators/3. Python's Logical and Identity Operators.mp4
31.5 MB
15. Statistics - Hypothesis Testing/16. Test for the mean. Independent samples (Part 1).mp4
31.4 MB
5. Intro to Data and Data Science - Common Data Science Techniques/3. Traditional Data Real-life Examples.mp4
31.4 MB
25. SQL - Stored Routines/1. Defining Stored Routines.mp4
31.4 MB
24. SQL - SQL Subqueries/4. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE.mp4
31.2 MB
28. Tableau - Tableau functionalities/4. Creating a Custom Field and Adding Calculations to a Table.mp4
31.1 MB
19. SQL - Best SQL Practices/3. Coding Tips and Best Practices - II.mp4
31.1 MB
43. Python - Using Iterations/8. How to Iterate over Dictionaries.mp4
31.1 MB
47. Integration - Data Preprocessing Step by Step/30. Analysis of the Next 5 Columns in DF.mp4
31.0 MB
5. Intro to Data and Data Science - Common Data Science Techniques/9. Business Intelligence (BI) Real-life Examples.mp4
30.9 MB
42. Python - Python Sequences/6. Working with Tuples.mp4
30.9 MB
10. Statistics - Descriptive Statistics/30. Correlation Coefficient.mp4
30.8 MB
17. Part 3 Relational Database Theory & Introduction to SQL/3. Why use MySQL.mp4
30.7 MB
32. Combining SQL and Tableau - Problem 2/1. Problem 2 Task.mp4
30.4 MB
30. Part 5 Combining SQL and Tableau - Introduction/3. Loading the Database.mp4
30.3 MB
13. Statistics - Inferential Statistics Confidence Intervals/14. Confidence intervals. Two means. Independent samples (Part 1).mp4
30.2 MB
29. Tableau - The Tableau Exercise/6. Performing a Numbers Check - Attempt #2.mp4
30.0 MB
29. Tableau - The Tableau Exercise/1. Introduction to the Exercise.mp4
29.9 MB
43. Python - Using Iterations/3. Using While Loops and Incrementing.mp4
29.8 MB
27. Part 4 Introduction to Tableau/2. Let's Download Tableau Public.mp4
29.8 MB
47. Integration - Data Preprocessing Step by Step/28. Adding the Day of the Week Column.mp4
29.3 MB
47. Integration - Data Preprocessing Step by Step/4. Programming vs the Rest of the World.mp4
29.2 MB
43. Python - Using Iterations/6. Combine Conditional Statements and Loops.mp4
29.1 MB
28. Tableau - Tableau functionalities/7. Inserting a Filter.mp4
29.0 MB
10. Statistics - Descriptive Statistics/27. Covariance.mp4
28.9 MB
22. SQL - Expanding on MySQL Aggregate Functions/1. Applying COUNT().mp4
28.7 MB
29. Tableau - The Tableau Exercise/7. First Chart.mp4
28.6 MB
25. SQL - Stored Routines/20. Concluding Stored Routines.mp4
28.5 MB
13. Statistics - Inferential Statistics Confidence Intervals/16. Confidence intervals. Two means. Independent samples (Part 2).mp4
28.1 MB
28. Tableau - Tableau functionalities/2. Creating a Table.mp4
27.2 MB
10. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.mp4
27.1 MB
43. Python - Using Iterations/4. Use the range() Function to Create Lists.mp4
27.1 MB
47. Integration - Data Preprocessing Step by Step/23. Using Checkpoints to Ease Your Work in Jupyter.mp4
27.0 MB
48. Integration - Integrating Python and SQL/1. How to Use the 'absenteeism_module' in Python - Part I.mp4
26.7 MB
48. Integration - Integrating Python and SQL/8. Executing and SQL SELECT Statement from Python.mp4
26.6 MB
28. Tableau - Tableau functionalities/1. Duplicating a Sheet.mp4
26.6 MB
37. Python - Python Variables and Data Types/1. Python Variables.mp4
26.5 MB
41. Python - Functions/3. Define a Function in Another Way.mp4
26.5 MB
23. SQL - SQL JOINs/18. Using JOIN and WHERE Together.mp4
26.4 MB
29. Tableau - The Tableau Exercise/4. Performing a Numbers Check - Attempt #1.mp4
26.3 MB
21. SQL - Practical Application of the SQL SELECT Statement/53. Using WHERE vs HAVING - Part II.mp4
26.0 MB
17. Part 3 Relational Database Theory & Introduction to SQL/17. The Concept of Relational Schemas Unique Key and Null Values.mp4
25.7 MB
25. SQL - Stored Routines/4. An Example of Stored Procedures Part I.mp4
25.1 MB
34. Combining SQL and Tableau - Problem 4/1. Problem 4 Task.mp4
24.9 MB
43. Python - Using Iterations/1. Using For Loops.mp4
24.7 MB
29. Tableau - The Tableau Exercise/2. Let's Create a Dashboard - Visualizing the Three Charts We Want to Create.mp4
24.6 MB
40. Python - Conditional Statements/3. Adding an ELSE statement.mp4
24.4 MB
40. Python - Conditional Statements/1. Getting to know the IF Statement.mp4
24.4 MB
47. Integration - Data Preprocessing Step by Step/2. How to Import the Data Set in Python.mp4
24.2 MB
12. Statistics - Inferential Statistics Fundamentals/11. Standard error.mp4
23.9 MB
34. Combining SQL and Tableau - Problem 4/5. Chart 4 Visualizing the Solution in Tableau.mp4
23.8 MB
12. Statistics - Inferential Statistics Fundamentals/6. The Standard Normal Distribution.mp4
23.6 MB
23. SQL - SQL JOINs/27. Combining Aggregate Functions with Joins.mp4
23.2 MB
5. Intro to Data and Data Science - Common Data Science Techniques/6. Big Data Real-life Examples.mp4
23.1 MB
41. Python - Functions/7. Built-In Functions in Python Worth Knowing.mp4
23.1 MB
21. SQL - Practical Application of the SQL SELECT Statement/4. Using WHERE.mp4
23.0 MB
47. Integration - Data Preprocessing Step by Step/32. A Final Note on this Section.mp4
22.7 MB
21. SQL - Practical Application of the SQL SELECT Statement/46. Using Aliases (AS).mp4
22.3 MB
48. Integration - Integrating Python and SQL/5. Creating a Connection and Cursor.mp4
22.0 MB
28. Tableau - Tableau functionalities/5. Adding Totals and Subtotals.mp4
21.9 MB
47. Integration - Data Preprocessing Step by Step/6. The Approach we will Take to Solve this Exercise.mp4
21.1 MB
40. Python - Conditional Statements/5. An Additional Explanation of Boolean Values.mp4
21.0 MB
44. Python - Advanced Python tools/7. How to Import Modules in Python.mp4
20.9 MB
13. Statistics - Inferential Statistics Confidence Intervals/18. Confidence intervals. Two means. Independent samples (Part 3).mp4
20.9 MB
10. Statistics - Descriptive Statistics/19. Skewness.mp4
20.4 MB
18. SQL - Install and get to know MySQL/5. Linking GUI with the MySQL Server.mp4
20.2 MB
48. Integration - Integrating Python and SQL/4. Importing 'pymysql' in Python.mp4
20.0 MB
20. SQL - Loading the 'employees' Database/1. Loading the 'employees' Database.mp4
19.9 MB
38. Python - Python Syntax Fundamentals/1. The Arithmetic Operators of Python.mp4
19.8 MB
44. Python - Advanced Python tools/5. What is the Standard Library.mp4
18.9 MB
28. Tableau - Tableau functionalities/3. Creating Custom Fields.mp4
18.1 MB
29. Tableau - The Tableau Exercise/8. Second Chart.mp4
17.9 MB
37. Python - Python Variables and Data Types/3. Understanding Numbers and Boolean Values.mp4
17.9 MB
22. SQL - Expanding on MySQL Aggregate Functions/13. Rounding Numbers with ROUND().mp4
17.6 MB
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12. Statistics - Inferential Statistics Fundamentals/1. Introduction.mp4
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27. Part 4 Introduction to Tableau/3. Connecting Data in Tableau.mp4
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21. SQL - Practical Application of the SQL SELECT Statement/30. Using IS NOT NULL - IS NULL.mp4
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36. Part 6 Introduction to Programming with Python/8. Understanding Jupyter’s Interface – Dashboard.mp4
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33. Combining SQL and Tableau - Problem 3/1. Problem 3 Task.mp4
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29. Tableau - The Tableau Exercise/12. Interactive Filters - fix.mp4
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36. Part 6 Introduction to Programming with Python/11. Python 2 vs Python 3.mp4
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22. SQL - Expanding on MySQL Aggregate Functions/4. Applying SUM().mp4
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39. Python - Other Python Operators/1. Python's Comparison Operators.mp4
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44. Python - Advanced Python tools/3. Using Modules and Packages.mp4
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36. Part 6 Introduction to Programming with Python/11.1 Python Introduction - Course Notes.pdf
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15. Statistics - Hypothesis Testing/10.1 Online p-value calculator.pdf
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15. Statistics - Hypothesis Testing/1.1 Course notes_hypothesis_testing.pdf
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36. Part 6 Introduction to Programming with Python/9.1 Jupyter_Shortcuts.pdf
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18. SQL - Install and get to know MySQL/4.1 The Client-Server Model.pdf
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19. SQL - Best SQL Practices/1.1 MySQL_Workbench_Shortcuts.pdf
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10. Statistics - Descriptive Statistics/1.1 Course notes_descriptive_statistics.pdf
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12. Statistics - Inferential Statistics Fundamentals/1.1 Course notes_inferential statistics.pdf
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2. Intro to Data and Data Science - The Different Data Science Fields/3.1 365_DataScience_Diagram.pdf
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10. Statistics - Descriptive Statistics/13.2 Statistics - PDF with Excel Solutions that don't visualize properly.pdf
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29. Tableau - The Tableau Exercise/1.1 Audiobook reviews.xlsx
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20. SQL - Loading the 'employees' Database/1.1 employees_db.pdf
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27. Part 4 Introduction to Tableau/3.1 GDP Data.xls
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11. Statistics - Practical Example Descriptive Statistics/1.1 2.13. Practical example. Descriptive statistics_lesson.xlsx
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11. Statistics - Practical Example Descriptive Statistics/2.1 2.13.Practical-example.Descriptive-statistics-exercise-solution.xlsx
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30. Part 5 Combining SQL and Tableau - Introduction/4.1 employees_mod_db.pdf
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31. Combining SQL and Tableau - Problem 1/1.1 employees_mod_db.pdf
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10. Statistics - Descriptive Statistics/19.1 2.8. Skewness_lesson.xlsx
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11. Statistics - Practical Example Descriptive Statistics/1. Practical Example.srt
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10. Statistics - Descriptive Statistics/29.2 2.11. Covariance_exercise.xlsx
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13. Statistics - Inferential Statistics Confidence Intervals/8.2 3.11. The t-table.xlsx
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10. Statistics - Descriptive Statistics/13.3 2.5. The Histogram_exercise.xlsx
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10. Statistics - Descriptive Statistics/7.2 2.3. Categorical variables. Visualization techniques_exercise.xlsx
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37. Python - Python Variables and Data Types/5. Strings.srt
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15. Statistics - Hypothesis Testing/12.1 4.6.Test-for-the-mean.Population-variance-unknown-lesson.xlsx
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15. Statistics - Hypothesis Testing/15.2 4.7. Test for the mean. Dependent samples_exercise_solution.xlsx
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13. Statistics - Inferential Statistics Confidence Intervals/13.2 3.13. Confidence intervals. Two means. Dependent samples_exercise_solution.xlsx
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14. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.srt
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10. Statistics - Descriptive Statistics/10.1 2.4. Numerical variables. Frequency distribution table_exercise_solution.xlsx
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40. Python - Conditional Statements/4. Else if, for Brief – ELIF.srt
13.5 kB
15. Statistics - Hypothesis Testing/15.1 4.7. Test for the mean. Dependent samples_exercise.xlsx
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18. SQL - Install and get to know MySQL/1. Installing MySQL Workbench and Server.srt
13.0 kB
15. Statistics - Hypothesis Testing/13.1 4.6.Test-for-the-mean.Population-variance-unknown-exercise-solution.xlsx
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12. Statistics - Inferential Statistics Fundamentals/8.1 3.4.Standard-normal-distribution-exercise.xlsx
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2. Intro to Data and Data Science - The Different Data Science Fields/5. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture.srt
12.2 kB
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27. Part 4 Introduction to Tableau/4. Exploring Tableau's Interface.srt
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13. Statistics - Inferential Statistics Confidence Intervals/8.1 3.11. Population variance unknown, t-score_lesson.xlsx
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15. Statistics - Hypothesis Testing/17.1 4.8.Test-for-the-mean.Independent-samples-Part-1-exercise.xlsx
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2. Intro to Data and Data Science - The Different Data Science Fields/3. Intro to Business Analytics, Data Analytics, and Data Science.srt
10.9 kB
5. Intro to Data and Data Science - Common Data Science Techniques/1. Traditional Data Techniques.srt
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10.9 kB
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5. Intro to Data and Data Science - Common Data Science Techniques/15. Machine Learning (ML) Types of Machine Learning.srt
10.8 kB
10. Statistics - Descriptive Statistics/17.1 2.7. Mean, median and mode_lesson.xlsx
10.7 kB
13. Statistics - Inferential Statistics Confidence Intervals/12.1 3.13. Confidence intervals. Two means. Dependent samples_lesson.xlsx
10.7 kB
17. Part 3 Relational Database Theory & Introduction to SQL/9. Comparing Databases and Spreadsheets.srt
10.6 kB
45. Part 7 Integration - Software Integration/5. Become Better Acquainted with APIs.srt
10.6 kB
12. Statistics - Inferential Statistics Fundamentals/6.1 3.4. Standard normal distribution_lesson.xlsx
10.6 kB
47. Integration - Data Preprocessing Step by Step/11. Splitting a Variable into Multiple Dummy Variables.srt
10.4 kB
13. Statistics - Inferential Statistics Confidence Intervals/15.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise_solution.xlsx
10.4 kB
10. Statistics - Descriptive Statistics/22.1 2.9. Variance_lesson.xlsx
10.3 kB
47. Integration - Data Preprocessing Step by Step/16. Categorizing the Various Reasons for Absence.srt
10.3 kB
49. Integration - Using Tableau to Analyze the Predicted Outputs/2. Using Tableau to Analyze Age vs Probability.srt
10.3 kB
23. SQL - SQL JOINs/22. The Functionality of CROSS JOIN.srt
10.1 kB
13. Statistics - Inferential Statistics Confidence Intervals/14.1 3.14. Confidence intervals. Two means. Independent samples (Part 1)_lesson.xlsx
10.1 kB
42. Python - Python Sequences/1. Introduction to Lists.srt
10.1 kB
13. Statistics - Inferential Statistics Confidence Intervals/15.2 3.14. Confidence intervals. Two means. Independent samples (Part 1)_exercise.xlsx
10.1 kB
13. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.srt
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15. Statistics - Hypothesis Testing/14.1 4.7. Test for the mean. Dependent samples_lesson.xlsx
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9.8 kB
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9.7 kB
10. Statistics - Descriptive Statistics/21.2 2.8. Skewness_exercise.xlsx
9.7 kB
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9.5 kB
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9.4 kB
3. Intro to Data and Data Science - The Relationship between Different Fields/1. When are Traditional data, Big Data, BI, Traditional Data Science and ML applied.srt
9.2 kB
41. Python - Functions/2. How to Create a Function with a Parameter.srt
9.2 kB
36. Part 6 Introduction to Programming with Python/7. How to Install Python and Jupyter.srt
9.1 kB
5. Intro to Data and Data Science - Common Data Science Techniques/13. Machine Learning (ML) Techniques.srt
8.9 kB
15. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.srt
8.9 kB
5. Intro to Data and Data Science - Common Data Science Techniques/7. Business Intelligence (BI) Techniques.srt
8.8 kB
24. SQL - SQL Subqueries/7. SQL Subqueries Nested in SELECT and FROM.srt
8.8 kB
45. Part 7 Integration - Software Integration/3. Getting Started with Data Connectivity, APIs, and Endpoints.srt
8.7 kB
16. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.srt
8.7 kB
42. Python - Python Sequences/7. Python Dictionaries.srt
8.6 kB
47. Integration - Data Preprocessing Step by Step/26. Analyzing the Date Column.srt
8.6 kB
42. Python - Python Sequences/3. Using Methods in Python.srt
8.6 kB
15. Statistics - Hypothesis Testing/8. Test for the Mean. Population Variance Known.srt
8.3 kB
13. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.srt
8.2 kB
47. Integration - Data Preprocessing Step by Step/27. Retrieving the Month Value From the Date Column.srt
8.2 kB
43. Python - Using Iterations/8. How to Iterate over Dictionaries.srt
8.1 kB
48. Integration - Integrating Python and SQL/3. Creating the 'predicted_outputs' Database in MySQL.srt
8.1 kB
27. Part 4 Introduction to Tableau/5. Let's Create our first Chart in Tableau!.srt
8.0 kB
48. Integration - Integrating Python and SQL/9. Sending Data from Jupyter to Workbench - Part I.srt
8.0 kB
47. Integration - Data Preprocessing Step by Step/7. Dropping Variables We Don't Need.srt
8.0 kB
36. Part 6 Introduction to Programming with Python/9. Understanding Jupyter’s Interface – Prerequisites for Coding.srt
8.0 kB
43. Python - Using Iterations/4. Use the range() Function to Create Lists.srt
7.8 kB
48. Integration - Integrating Python and SQL/10. Sending Data from Jupyter to Workbench - Part II.srt
7.8 kB
40. Python - Conditional Statements/1. Getting to know the IF Statement.srt
7.8 kB
25. SQL - Stored Routines/9. Create Stored Procedures with an Input Parameter.srt
7.7 kB
10. Statistics - Descriptive Statistics/22. Variance.srt
7.7 kB
48. Integration - Integrating Python and SQL/2. How to Use the 'absenteeism_module' in Python - Part II.srt
7.7 kB
31. Combining SQL and Tableau - Problem 1/7. Chart 1 Visualizing the Solution in Tableau - Part I.srt
7.6 kB
43. Python - Using Iterations/6. Combine Conditional Statements and Loops.srt
7.6 kB
25. SQL - Stored Routines/13. SQL Variables.srt
7.6 kB
32. Combining SQL and Tableau - Problem 2/5. Chart 2 Visualizing the Solution in Tableau.srt
7.5 kB
25. SQL - Stored Routines/16. The Benefit of User-Defined Functions in MySQL.srt
7.5 kB
6. Intro to Data and Data Science - Common Data Science Tools/1. Programming Languages & Software Employed in Data Science - All the Tools Needed.srt
7.5 kB
49. Integration - Using Tableau to Analyze the Predicted Outputs/6. Using Tableau to Analyze Transportation Expense vs Probability.srt
7.4 kB
31. Combining SQL and Tableau - Problem 1/1. Problem 1 Task.srt
7.3 kB
30. Part 5 Combining SQL and Tableau - Introduction/1. Introduction to Software Integration.srt
7.2 kB
47. Integration - Data Preprocessing Step by Step/3. Exploring the Data Set.srt
7.2 kB
29. Tableau - The Tableau Exercise/3. Using Joins in Tableau.srt
7.2 kB
15. Statistics - Hypothesis Testing/1. The Null vs Alternative Hypothesis.srt
7.1 kB
17. Part 3 Relational Database Theory & Introduction to SQL/13. The Concept of Relational Schemas Primary Key.srt
7.1 kB
36. Part 6 Introduction to Programming with Python/3. Why use Python.srt
7.1 kB
42. Python - Python Sequences/6. Working with Tuples.srt
7.1 kB
36. Part 6 Introduction to Programming with Python/1. A 5-minute explanation of Programming.srt
7.1 kB
21. SQL - Practical Application of the SQL SELECT Statement/45. Using GROUP BY.srt
7.0 kB
23. SQL - SQL JOINs/11. The Functionality of LEFT JOIN - Part II.srt
7.0 kB
26. SQL - The CASE Statement/1. The SQL CASE Statement.srt
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23. SQL - SQL JOINs/31. Top Tips for Joins.srt
7.0 kB
31. Combining SQL and Tableau - Problem 1/8. Chart 1 Visualizing the Solution in Tableau - Part II.srt
7.0 kB
23. SQL - SQL JOINs/4. The Functionality of INNER JOIN - Part I.srt
6.9 kB
17. Part 3 Relational Database Theory & Introduction to SQL/15. The Concept of Relational Schemas Foreign Key.srt
6.9 kB
18. SQL - Install and get to know MySQL/7. Creating a New User and a New Connection to it.srt
6.9 kB
19. SQL - Best SQL Practices/1. Coding Tips and Best Practices - I.srt
6.9 kB
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47. Integration - Data Preprocessing Step by Step/18. EXERCISE - Concatenation in Python.html
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47. Integration - Data Preprocessing Step by Step/29.1 Dropping Columns.html
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How you can help GetFreeCourses.Co.txt
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47. Integration - Data Preprocessing Step by Step/23.1 Using Checkpoints.html
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24. SQL - SQL Subqueries/5. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE - Exercise.html
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28. Tableau - Tableau functionalities/4.1 Creating a custom field - Tableau Public Link.html
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10. Statistics - Descriptive Statistics/12. The Histogram.html
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10. Statistics - Descriptive Statistics/15. Cross Tables and Scatter Plots.html
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10. Statistics - Descriptive Statistics/2. Types of data.html
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10. Statistics - Descriptive Statistics/4. Levels of measurement.html
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10. Statistics - Descriptive Statistics/6. Categorical variables. Visualization Techniques.html
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10. Statistics - Descriptive Statistics/9. Numerical variables. Using a frequency distribution table.html
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12. Statistics - Inferential Statistics Fundamentals/10. Central Limit Theorem.html
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12. Statistics - Inferential Statistics Fundamentals/12. Standard error.html
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12. Statistics - Inferential Statistics Fundamentals/14. Estimators and Estimates.html
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12. Statistics - Inferential Statistics Fundamentals/3. What is a Distribution.html
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12. Statistics - Inferential Statistics Fundamentals/5. The Normal Distribution.html
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12. Statistics - Inferential Statistics Fundamentals/7. The Standard Normal Distribution.html
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13. Statistics - Inferential Statistics Confidence Intervals/11. Margin of Error.html
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13. Statistics - Inferential Statistics Confidence Intervals/2. What are Confidence Intervals.html
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15. Statistics - Hypothesis Testing/5. Rejection Region and Significance Level.html
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15. Statistics - Hypothesis Testing/7. Type I Error and Type II Error.html
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17. Part 3 Relational Database Theory & Introduction to SQL/10. Comparing Databases and Spreadsheets.html
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17. Part 3 Relational Database Theory & Introduction to SQL/12. Important Database Terminology.html
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17. Part 3 Relational Database Theory & Introduction to SQL/14. The Concept of Relational Schemas Primary Key.html
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17. Part 3 Relational Database Theory & Introduction to SQL/16. The Concept of Relational Schemas Foreign Key.html
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17. Part 3 Relational Database Theory & Introduction to SQL/18. The Concept of Relational Schemas Unique Key.html
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17. Part 3 Relational Database Theory & Introduction to SQL/2. Why use SQL.html
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17. Part 3 Relational Database Theory & Introduction to SQL/4. Why use MySQL.html
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17. Part 3 Relational Database Theory & Introduction to SQL/6. Introducing Databases.html
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17. Part 3 Relational Database Theory & Introduction to SQL/8. Relational Database Fundamentals.html
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19. SQL - Best SQL Practices/2. Coding Tips and Best Practices - I.html
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2. Intro to Data and Data Science - The Different Data Science Fields/4. Intro to Business Analytics, Data Analytics, and Data Science.html
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2. Intro to Data and Data Science - The Different Data Science Fields/6. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture.html
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2. Intro to Data and Data Science - The Different Data Science Fields/8. An Overview of our Data Science Infographic.html
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25. SQL - Stored Routines/15. SQL Variables - Solution.html
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25. SQL - Stored Routines/2. Defining Stored Routines.html
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25. SQL - Stored Routines/21. Concluding Stored Routines.html
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3. Intro to Data and Data Science - The Relationship between Different Fields/2. When are Traditional data, Big Data, BI, Traditional Data Science and ML applied.html
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36. Part 6 Introduction to Programming with Python/10. Understanding Jupyter's Interface.html
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36. Part 6 Introduction to Programming with Python/2. A 5-minute explanation of Programming.html
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36. Part 6 Introduction to Programming with Python/4. Why Use Python.html
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36. Part 6 Introduction to Programming with Python/6. Why Use Jupyter.html
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37. Python - Python Variables and Data Types/2. Python Variables.html
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37. Python - Python Variables and Data Types/4. Understanding Numbers and Boolean Values.html
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38. Python - Python Syntax Fundamentals/2. Using Arithmetic Operators in Python.html
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39. Python - Other Python Operators/2. Python's Comparison Operators.html
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4. Intro to Data and Data Science - What is the Purpose of each Data Science Field/2. Why do we Need each of these Disciplines.html
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44. Python - Advanced Python tools/2. Introduction to Object Oriented Programming (OOP).html
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44. Python - Advanced Python tools/6. What is the Standard Library.html
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44. Python - Advanced Python tools/8. How to Import Modules in Python.html
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45. Part 7 Integration - Software Integration/10. What is Software Integration and How is it Applied.html
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45. Part 7 Integration - Software Integration/2. Getting Started with Data, Servers, Clients, Requests, and Responses.html
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45. Part 7 Integration - Software Integration/4. Getting Started with Data Connectivity, APIs, and Endpoints.html
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45. Part 7 Integration - Software Integration/6. Become Better Acquainted with APIs.html
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45. Part 7 Integration - Software Integration/8. Communication through Text Files.html
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46. Integration - What is contained in this Course/4. Presenting the Data Set.html
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47. Integration - Data Preprocessing Step by Step/32.2 Preprocessing.html
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5. Intro to Data and Data Science - Common Data Science Techniques/11. Traditional Methods Techniques.html
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5. Intro to Data and Data Science - Common Data Science Techniques/16. Machine Learning (ML) Types of Machine Learning.html
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5. Intro to Data and Data Science - Common Data Science Techniques/18. Machine Learning (ML) Real-life Examples.html
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5. Intro to Data and Data Science - Common Data Science Techniques/5. Big Data Techniques.html
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5. Intro to Data and Data Science - Common Data Science Techniques/8. Business Intelligence (BI) Techniques.html
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6. Intro to Data and Data Science - Common Data Science Tools/2. Programming Languages & Software Employed in Data Science - All the Tools Needed.html
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7. Intro to Data and Data Science - Data Science Career Paths/2. Data Science Job Positions What do they Involve and What to Look out for.html
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8. Intro to Data and Data Science - Dispelling Common Misconceptions/2. Dispelling common Misconceptions.html
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9. Part 2 Statistics - Population and Sample/2. Population and Sample.html
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31. Combining SQL and Tableau - Problem 1/2. Problem 1 Task - Text.html
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22. SQL - Expanding on MySQL Aggregate Functions/14. Rounding Numbers with ROUND() - Exercise.html
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27. Part 4 Introduction to Tableau/5.1 GDP Data - Tableau Public Link.html
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29. Tableau - The Tableau Exercise/5.3 Check the data - Tableau Public Link.html
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31. Combining SQL and Tableau - Problem 1/GetFreeCourses.Co.url
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13. Statistics - Inferential Statistics Confidence Intervals/9. Confidence Intervals; Population Variance Unknown; t-score Exercise.html
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15. Statistics - Hypothesis Testing/9. Test for the Mean. Population Variance Known Exercise.html
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16. Statistics - Practical Example Hypothesis Testing/2. Practical Example Hypothesis Testing Exercise.html
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10. Statistics - Descriptive Statistics/10. Numerical Variables Exercise.html
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10. Statistics - Descriptive Statistics/13. Histogram Exercise.html
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10. Statistics - Descriptive Statistics/16. Cross Tables and Scatter Plots Exercise.html
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10. Statistics - Descriptive Statistics/18. Mean, Median and Mode Exercise.html
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10. Statistics - Descriptive Statistics/26. Standard Deviation and Coefficient of Variation Exercise.html
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10. Statistics - Descriptive Statistics/32. Correlation Coefficient Exercise.html
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10. Statistics - Descriptive Statistics/7. Categorical Variables Exercise.html
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11. Statistics - Practical Example Descriptive Statistics/2. Practical Example Exercise.html
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12. Statistics - Inferential Statistics Fundamentals/8. The Standard Normal Distribution Exercise.html
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13. Statistics - Inferential Statistics Confidence Intervals/4. Confidence Intervals; Population Variance Known; z-score Exercise.html
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21. SQL - Practical Application of the SQL SELECT Statement/8. Using AND - Exercise.html
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