种子简介

种子名称： [FreeCourseSite.com] Udemy - The Business Intelligence Analyst Course 2022
文件类型： 视频
文件数目： 262个文件
文件大小： 10.89 GB
收录时间： 2023-9-4 14:55
已经下载： 3次
资源热度： 96
最近下载： 2024-5-17 11:31

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:8c08ac2413d54503ebfbe141c64efefc2e004194&dn=[FreeCourseSite.com] Udemy - The Business Intelligence Analyst Course 2022 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

[FreeCourseSite.com] Udemy - The Business Intelligence Analyst Course 2022.torrent

1. Part 1 Introduction/1. What Does the Course Cover.mp455.09MB

10. Statistics - Descriptive Statistics/1. Types of Data.mp472.48MB

10. Statistics - Descriptive Statistics/11. The Histogram.mp413.8MB

10. Statistics - Descriptive Statistics/14. Cross Table and Scatter Plot.mp439.8MB

10. Statistics - Descriptive Statistics/17. Mean, median and mode.mp437.1MB

10. Statistics - Descriptive Statistics/19. Skewness.mp419.44MB

10. Statistics - Descriptive Statistics/22. Variance.mp450.96MB

10. Statistics - Descriptive Statistics/24. Standard Deviation and Coefficient of Variation.mp445.16MB

10. Statistics - Descriptive Statistics/27. Covariance.mp427.52MB

10. Statistics - Descriptive Statistics/3. Levels of Measurement.mp454.36MB

10. Statistics - Descriptive Statistics/30. Correlation Coefficient.mp429.38MB

10. Statistics - Descriptive Statistics/5. Categorical Variables - Visualization Techniques.mp436.62MB

10. Statistics - Descriptive Statistics/8. Numerical Variables - Frequency Distribution Table.mp425.83MB

11. Statistics - Practical Example Descriptive Statistics/1. Practical Example.mp4160.47MB

12. Statistics - Inferential Statistics Fundamentals/1. Introduction.mp415.5MB

12. Statistics - Inferential Statistics Fundamentals/11. Standard error.mp422.75MB

12. Statistics - Inferential Statistics Fundamentals/13. Estimators and Estimates.mp447.86MB

12. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.mp461.66MB

12. Statistics - Inferential Statistics Fundamentals/4. The Normal Distribution.mp449.91MB

12. Statistics - Inferential Statistics Fundamentals/6. The Standard Normal Distribution.mp422.51MB

12. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.mp462.91MB

13. Statistics - Inferential Statistics Confidence Intervals/1. What are Confidence Intervals.mp449.96MB

13. Statistics - Inferential Statistics Confidence Intervals/10. Margin of Error.mp447.2MB

13. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.mp470.45MB

13. Statistics - Inferential Statistics Confidence Intervals/14. Confidence intervals. Two means. Independent samples (Part 1).mp428.77MB

13. Statistics - Inferential Statistics Confidence Intervals/16. Confidence intervals. Two means. Independent samples (Part 2).mp426.84MB

13. Statistics - Inferential Statistics Confidence Intervals/18. Confidence intervals. Two means. Independent samples (Part 3).mp419.91MB

13. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.mp478.19MB

13. Statistics - Inferential Statistics Confidence Intervals/5. Confidence interval clarifications.mp457.04MB

13. Statistics - Inferential Statistics Confidence Intervals/6. Student's T Distribution.mp435.39MB

13. Statistics - Inferential Statistics Confidence Intervals/8. Confidence Intervals; Population Variance Unknown; t-score.mp432.19MB

14. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4102.64MB

15. Statistics - Hypothesis Testing/1. The Null vs Alternative Hypothesis.mp492.08MB

15. Statistics - Hypothesis Testing/10. p-value.mp455.93MB

15. Statistics - Hypothesis Testing/12. Test for the Mean. Population Variance Unknown.mp440.19MB

15. Statistics - Hypothesis Testing/14. Test for the Mean. Dependent Samples.mp450.41MB

15. Statistics - Hypothesis Testing/16. Test for the mean. Independent samples (Part 1).mp429.97MB

15. Statistics - Hypothesis Testing/18. Test for the mean. Independent samples (Part 2).mp436.37MB

15. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp482.52MB

15. Statistics - Hypothesis Testing/6. Type I Error and Type II Error.mp443.95MB

15. Statistics - Hypothesis Testing/8. Test for the Mean. Population Variance Known.mp454.27MB

16. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.mp469.38MB

17. Part 3 Relational Database Theory & Introduction to SQL/1. Why use SQL.mp470.07MB

17. Part 3 Relational Database Theory & Introduction to SQL/11. Important Database Terminology.mp490.5MB

17. Part 3 Relational Database Theory & Introduction to SQL/13. The Concept of Relational Schemas Primary Key.mp442.91MB

17. Part 3 Relational Database Theory & Introduction to SQL/15. The Concept of Relational Schemas Foreign Key.mp443.97MB

17. Part 3 Relational Database Theory & Introduction to SQL/17. The Concept of Relational Schemas Unique Key and Null Values.mp424.52MB

17. Part 3 Relational Database Theory & Introduction to SQL/19. The Concept of Relational Schemas Relationships Between Tables.mp441.68MB

17. Part 3 Relational Database Theory & Introduction to SQL/3. Why use MySQL.mp429.3MB

17. Part 3 Relational Database Theory & Introduction to SQL/5. Introducing Databases.mp4102.86MB

17. Part 3 Relational Database Theory & Introduction to SQL/7. Relational Database Fundamentals.mp4107.7MB

17. Part 3 Relational Database Theory & Introduction to SQL/9. Comparing Databases and Spreadsheets.mp4156.77MB

18. SQL - Install and get to know MySQL/1. Installing MySQL Workbench and Server.mp499.1MB

18. SQL - Install and get to know MySQL/5. Linking GUI with the MySQL Server.mp419.23MB

18. SQL - Install and get to know MySQL/7. Creating a New User and a New Connection to it.mp447.71MB

18. SQL - Install and get to know MySQL/8. Familiarize Yourself with the MySQL Interface.mp440.25MB

19. SQL - Best SQL Practices/1. Coding Tips and Best Practices - I.mp437.82MB

19. SQL - Best SQL Practices/3. Coding Tips and Best Practices - II.mp429.69MB

2. Intro to Data and Data Science - The Different Data Science Fields/1. Why Are There So Many Business and Data Science Buzzwords.mp481.39MB

2. Intro to Data and Data Science - The Different Data Science Fields/2. Analysis vs Analytics.mp453.5MB

2. Intro to Data and Data Science - The Different Data Science Fields/3. Intro to Business Analytics, Data Analytics, and Data Science.mp464.47MB

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.mp4108.97MB

2. Intro to Data and Data Science - The Different Data Science Fields/7. An Overview of our Data Science Infographic.mp467.83MB

20. SQL - Loading the 'employees' Database/1. Loading the 'employees' Database.mp418.99MB

21. SQL - Practical Application of the SQL SELECT Statement/1. Using SELECT - FROM.mp435.93MB

21. SQL - Practical Application of the SQL SELECT Statement/10. Using OR.mp433.22MB

21. SQL - Practical Application of the SQL SELECT Statement/13. Operator Precedence and Logical Order.mp432.07MB

21. SQL - Practical Application of the SQL SELECT Statement/16. Using IN - NOT IN.mp432.13MB

21. SQL - Practical Application of the SQL SELECT Statement/21. Using LIKE - NOT LIKE.mp436.08MB

21. SQL - Practical Application of the SQL SELECT Statement/24. Using Wildcard Characters.mp49.87MB

21. SQL - Practical Application of the SQL SELECT Statement/27. Using BETWEEN - AND.mp416.47MB

21. SQL - Practical Application of the SQL SELECT Statement/30. Using IS NOT NULL - IS NULL.mp413.96MB

21. SQL - Practical Application of the SQL SELECT Statement/33. Using Other Comparison Operators.mp441.21MB

21. SQL - Practical Application of the SQL SELECT Statement/36. Using SELECT DISTINCT.mp415.63MB

21. SQL - Practical Application of the SQL SELECT Statement/39. Getting to Know Aggregate Functions.mp443.61MB

21. SQL - Practical Application of the SQL SELECT Statement/4. Using WHERE.mp421.98MB

21. SQL - Practical Application of the SQL SELECT Statement/42. Using ORDER BY.mp441.29MB

21. SQL - Practical Application of the SQL SELECT Statement/45. Using GROUP BY.mp453.56MB

21. SQL - Practical Application of the SQL SELECT Statement/46. Using Aliases (AS).mp421.29MB

21. SQL - Practical Application of the SQL SELECT Statement/49. Using HAVING.mp433.02MB

21. SQL - Practical Application of the SQL SELECT Statement/52. Using WHERE vs HAVING - Part I.mp434.89MB

21. SQL - Practical Application of the SQL SELECT Statement/53. Using WHERE vs HAVING - Part II.mp424.83MB

21. SQL - Practical Application of the SQL SELECT Statement/56. Using LIMIT.mp447.26MB

21. SQL - Practical Application of the SQL SELECT Statement/7. Using AND.mp416.73MB

22. SQL - Expanding on MySQL Aggregate Functions/1. Applying COUNT().mp427.38MB

22. SQL - Expanding on MySQL Aggregate Functions/10. Applying AVG().mp413.53MB

22. SQL - Expanding on MySQL Aggregate Functions/13. Rounding Numbers with ROUND().mp416.81MB

22. SQL - Expanding on MySQL Aggregate Functions/4. Applying SUM().mp410.51MB

22. SQL - Expanding on MySQL Aggregate Functions/7. MIN() and MAX().mp410.27MB

23. SQL - SQL JOINs/1. What are JOINs.mp442.2MB

23. SQL - SQL JOINs/10. The Functionality of LEFT JOIN - Part I.mp450.81MB

23. SQL - SQL JOINs/11. The Functionality of LEFT JOIN - Part II.mp454.88MB

23. SQL - SQL JOINs/14. The Functionality of RIGHT JOIN.mp432.23MB

23. SQL - SQL JOINs/15. Differences between the New and the Old Join Syntax.mp432.01MB

23. SQL - SQL JOINs/18. Using JOIN and WHERE Together.mp425.18MB

23. SQL - SQL JOINs/22. The Functionality of CROSS JOIN.mp489.87MB

23. SQL - SQL JOINs/27. Combining Aggregate Functions with Joins.mp422.14MB

23. SQL - SQL JOINs/28. JOIN More than Two Tables.mp441.43MB

23. SQL - SQL JOINs/31. Top Tips for Joins.mp450.91MB

23. SQL - SQL JOINs/34. The Differences Between UNION and UNION ALL.mp447.69MB

23. SQL - SQL JOINs/4. The Functionality of INNER JOIN - Part I.mp442.29MB

23. SQL - SQL JOINs/5. The Functionality of INNER JOIN - Part II.mp467.09MB

23. SQL - SQL JOINs/8. Extra Info on Using Joins.mp443.89MB

23. SQL - SQL JOINs/9. Duplicate Rows.mp446.53MB

24. SQL - SQL Subqueries/1. SQL Subqueries with IN Embedded Inside WHERE.mp437.45MB

24. SQL - SQL Subqueries/4. SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE.mp429.78MB

24. SQL - SQL Subqueries/7. SQL Subqueries Nested in SELECT and FROM.mp471.65MB

25. SQL - Stored Routines/1. Defining Stored Routines.mp429.93MB

25. SQL - Stored Routines/10. Create Stored Procedures with an Output Parameter.mp432.51MB

25. SQL - Stored Routines/13. SQL Variables.mp454.57MB

25. SQL - Stored Routines/16. The Benefit of User-Defined Functions in MySQL.mp448.76MB

25. SQL - Stored Routines/20. Concluding Stored Routines.mp427.14MB

25. SQL - Stored Routines/3. Create Stored Procedures with MySQL Syntax.mp434.25MB

25. SQL - Stored Routines/4. An Example of Stored Procedures Part I.mp423.96MB

25. SQL - Stored Routines/5. An Example of Stored Procedures Part II.mp442.14MB

25. SQL - Stored Routines/8. Creating a Procedure in MySQL Another Way.mp432.44MB

25. SQL - Stored Routines/9. Create Stored Procedures with an Input Parameter.mp464.51MB

26. SQL - The CASE Statement/1. The SQL CASE Statement.mp459.43MB

27. Part 4 Introduction to Tableau/1. Why Use Tableau Make Your Data Make an Impact.mp439.2MB

27. Part 4 Introduction to Tableau/2. Let's Download Tableau Public.mp428.39MB

27. Part 4 Introduction to Tableau/3. Connecting Data in Tableau.mp414.28MB

27. Part 4 Introduction to Tableau/4. Exploring Tableau's Interface.mp452.12MB

27. Part 4 Introduction to Tableau/5. Let's Create our first Chart in Tableau!.mp458.97MB

28. Tableau - Tableau functionalities/1. Duplicating a Sheet.mp425.33MB

28. Tableau - Tableau functionalities/2. Creating a Table.mp425.95MB

28. Tableau - Tableau functionalities/3. Creating Custom Fields.mp417.22MB

28. Tableau - Tableau functionalities/4. Creating a Custom Field and Adding Calculations to a Table.mp429.71MB

28. Tableau - Tableau functionalities/5. Adding Totals and Subtotals.mp420.9MB

28. Tableau - Tableau functionalities/6. Adding a Custom Calculation.mp436.48MB

28. Tableau - Tableau functionalities/7. Inserting a Filter.mp427.63MB

28. Tableau - Tableau functionalities/8. Working with Joins in Tableau.mp445.13MB

29. Tableau - The Tableau Exercise/1. Introduction to the Exercise.mp428.48MB

29. Tableau - The Tableau Exercise/10. Creating and Formatting a Dashboard.mp431.83MB

29. Tableau - The Tableau Exercise/11. Adding Interactive Filters for Improved Analysis.mp431.65MB

29. Tableau - The Tableau Exercise/12. Interactive Filters - fix.mp412.48MB

29. Tableau - The Tableau Exercise/2. Let's Create a Dashboard - Visualizing the Three Charts We Want to Create.mp423.46MB

29. Tableau - The Tableau Exercise/3. Using Joins in Tableau.mp445.55MB

29. Tableau - The Tableau Exercise/4. Performing a Numbers Check - Attempt #1.mp425.04MB

29. Tableau - The Tableau Exercise/5. Blending Data in Tableau.mp432.32MB

29. Tableau - The Tableau Exercise/6. Performing a Numbers Check - Attempt #2.mp428.6MB

29. Tableau - The Tableau Exercise/7. First Chart.mp427.24MB

29. Tableau - The Tableau Exercise/8. Second Chart.mp417.08MB

29. Tableau - The Tableau Exercise/9. Third Chart.mp415.25MB

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.mp4126.75MB

30. Part 5 Combining SQL and Tableau - Introduction/1. Introduction to Software Integration.mp492.71MB

30. Part 5 Combining SQL and Tableau - Introduction/2. Combining SQL and Tableau.mp483.9MB

30. Part 5 Combining SQL and Tableau - Introduction/3. Loading the Database.mp428.87MB

31. Combining SQL and Tableau - Problem 1/1. Problem 1 Task.mp433.81MB

31. Combining SQL and Tableau - Problem 1/4. Problem 1 Solution in SQL.mp443.18MB

31. Combining SQL and Tableau - Problem 1/6. Exporting Your Output from SQL and Loading it in Tableau.mp431.55MB

31. Combining SQL and Tableau - Problem 1/7. Chart 1 Visualizing the Solution in Tableau - Part I.mp441.14MB

31. Combining SQL and Tableau - Problem 1/8. Chart 1 Visualizing the Solution in Tableau - Part II.mp445.57MB

32. Combining SQL and Tableau - Problem 2/1. Problem 2 Task.mp429.02MB

32. Combining SQL and Tableau - Problem 2/3. Problem 2 Solution in SQL.mp439.65MB

32. Combining SQL and Tableau - Problem 2/5. Chart 2 Visualizing the Solution in Tableau.mp449.36MB

33. Combining SQL and Tableau - Problem 3/1. Problem 3 Task.mp413.3MB

33. Combining SQL and Tableau - Problem 3/3. Problem 3 Solution in SQL.mp433.26MB

33. Combining SQL and Tableau - Problem 3/5. Chart 3 Visualizing the Solution in Tableau.mp440.5MB

34. Combining SQL and Tableau - Problem 4/1. Problem 4 Task.mp423.74MB

34. Combining SQL and Tableau - Problem 4/3. Problem 4 Solution in SQL.mp430.33MB

34. Combining SQL and Tableau - Problem 4/5. Chart 4 Visualizing the Solution in Tableau.mp422.72MB

35. Combining SQL and Tableau - Problem 5/1. Problem 5 Organizing Charts 1-4 into a Beautiful Dashboard.mp456.2MB

36. Part 6 Introduction to Programming with Python/1. A 5-minute explanation of Programming.mp458.53MB

36. Part 6 Introduction to Programming with Python/11. Python 2 vs Python 3.mp411.28MB

36. Part 6 Introduction to Programming with Python/3. Why use Python.mp475.09MB

36. Part 6 Introduction to Programming with Python/5. Why use Jupyter.mp444.3MB

36. Part 6 Introduction to Programming with Python/7. How to Install Python and Jupyter.mp451.01MB

36. Part 6 Introduction to Programming with Python/8. Understanding Jupyter’s Interface – Dashboard.mp413.8MB

36. Part 6 Introduction to Programming with Python/9. Understanding Jupyter’s Interface – Prerequisites for Coding.mp430.6MB

37. Python - Python Variables and Data Types/1. Python Variables.mp425.3MB

37. Python - Python Variables and Data Types/3. Understanding Numbers and Boolean Values.mp417.07MB

37. Python - Python Variables and Data Types/5. Strings.mp450.65MB

38. Python - Python Syntax Fundamentals/1. The Arithmetic Operators of Python.mp418.92MB

38. Python - Python Syntax Fundamentals/10. How to Index Elements.mp45.93MB

38. Python - Python Syntax Fundamentals/12. How to Structure Your Code with Indentation.mp413.15MB

38. Python - Python Syntax Fundamentals/3. What is the Double Equality Sign.mp46MB

38. Python - Python Syntax Fundamentals/5. How to Reassign Values.mp44.01MB

38. Python - Python Syntax Fundamentals/7. How to Add Comments.mp411.27MB

38. Python - Python Syntax Fundamentals/9. Understanding Line Continuation.mp42.35MB

39. Python - Other Python Operators/1. Python's Comparison Operators.mp410.17MB

39. Python - Other Python Operators/3. Python's Logical and Identity Operators.mp430.07MB

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.mp487.45MB

40. Python - Conditional Statements/1. Getting to know the IF Statement.mp423.24MB

40. Python - Conditional Statements/3. Adding an ELSE statement.mp423.28MB

40. Python - Conditional Statements/4. Else if, for Brief – ELIF.mp453.36MB

40. Python - Conditional Statements/5. An Additional Explanation of Boolean Values.mp420MB

41. Python - Functions/1. How to Define a Function in Python.mp414.75MB

41. Python - Functions/2. How to Create a Function with a Parameter.mp438.1MB

41. Python - Functions/3. Define a Function in Another Way.mp425.25MB

41. Python - Functions/4. How to use a Function within a Function.mp48.14MB

41. Python - Functions/5. Use Conditional Statements and Functions Together.mp415.68MB

41. Python - Functions/6. How to Create Functions Which Contain a Few Arguments.mp414.71MB

41. Python - Functions/7. Built-In Functions in Python Worth Knowing.mp422.02MB

42. Python - Python Sequences/1. Introduction to Lists.mp437.79MB

42. Python - Python Sequences/3. Using Methods in Python.mp437.62MB

42. Python - Python Sequences/5. What is List Slicing.mp430.79MB

42. Python - Python Sequences/6. Working with Tuples.mp429.49MB

42. Python - Python Sequences/7. Python Dictionaries.mp441.7MB

43. Python - Using Iterations/1. Using For Loops.mp423.59MB

43. Python - Using Iterations/3. Using While Loops and Incrementing.mp428.44MB

43. Python - Using Iterations/4. Use the range() Function to Create Lists.mp425.8MB

43. Python - Using Iterations/6. Combine Conditional Statements and Loops.mp427.78MB

43. Python - Using Iterations/7. All In – Conditional Statements, Functions, and Loops.mp49.5MB

43. Python - Using Iterations/8. How to Iterate over Dictionaries.mp429.64MB

44. Python - Advanced Python tools/1. Introduction to Object Oriented Programming (OOP).mp433.59MB

44. Python - Advanced Python tools/3. Using Modules and Packages.mp48.51MB

44. Python - Advanced Python tools/5. What is the Standard Library.mp418.03MB

44. Python - Advanced Python tools/7. How to Import Modules in Python.mp419.93MB

45. Part 7 Integration - Software Integration/1. Getting Started with Data, Servers, Clients, Requests, and Responses.mp469.07MB

45. Part 7 Integration - Software Integration/3. Getting Started with Data Connectivity, APIs, and Endpoints.mp4104.15MB

45. Part 7 Integration - Software Integration/5. Become Better Acquainted with APIs.mp4115.63MB

45. Part 7 Integration - Software Integration/7. Communication through Text Files.mp460.33MB

45. Part 7 Integration - Software Integration/9. What is Software Integration and How is it Applied.mp463.73MB

46. Integration - What is contained in this Course/1. Solving a Business Exercise with Python, SQL, and Tableau.mp452.31MB

46. Integration - What is contained in this Course/2. Presenting the Task Absenteeism at Work.mp439.06MB

46. Integration - What is contained in this Course/3. Presenting the Data Set.mp440.87MB

47. Integration - Data Preprocessing Step by Step/10. A Deeper Look at the 'Reasons for Absence' Column.mp440.57MB

47. Integration - Data Preprocessing Step by Step/11. Splitting a Variable into Multiple Dummy Variables.mp481.13MB

47. Integration - Data Preprocessing Step by Step/15. A Statistical Perspective on Dummy Variables.mp413.76MB

47. Integration - Data Preprocessing Step by Step/16. Categorizing the Various Reasons for Absence.mp474.56MB

47. Integration - Data Preprocessing Step by Step/17. Concatenation in Python.mp438.74MB

47. Integration - Data Preprocessing Step by Step/2. How to Import the Data Set in Python.mp423.08MB

47. Integration - Data Preprocessing Step by Step/20. How to Reorder Columns in a DataFrame in Python.mp414.04MB

47. Integration - Data Preprocessing Step by Step/23. Using Checkpoints to Ease Your Work in Jupyter.mp425.72MB

47. Integration - Data Preprocessing Step by Step/26. Analyzing the Date Column.mp457.27MB

47. Integration - Data Preprocessing Step by Step/27. Retrieving the Month Value From the Date Column.mp447.79MB

47. Integration - Data Preprocessing Step by Step/28. Adding the Day of the Week Column.mp427.99MB

47. Integration - Data Preprocessing Step by Step/3. Exploring the Data Set.mp461.83MB

47. Integration - Data Preprocessing Step by Step/30. Analysis of the Next 5 Columns in DF.mp429.56MB

47. Integration - Data Preprocessing Step by Step/31. Dealing with More Numerical Features which may Behave like Categorical Ones.mp439.61MB

47. Integration - Data Preprocessing Step by Step/32. A Final Note on this Section.mp421.62MB

47. Integration - Data Preprocessing Step by Step/4. Programming vs the Rest of the World.mp427.83MB

47. Integration - Data Preprocessing Step by Step/6. The Approach we will Take to Solve this Exercise.mp420.16MB

47. Integration - Data Preprocessing Step by Step/7. Dropping Variables We Don't Need.mp461.69MB

48. Integration - Integrating Python and SQL/1. How to Use the 'absenteeism_module' in Python - Part I.mp425.45MB

48. Integration - Integrating Python and SQL/10. Sending Data from Jupyter to Workbench - Part II.mp458.22MB

48. Integration - Integrating Python and SQL/11. Sending Data from Jupyter to Workbench - Part III.mp432.83MB

48. Integration - Integrating Python and SQL/2. How to Use the 'absenteeism_module' in Python - Part II.mp454.33MB

48. Integration - Integrating Python and SQL/3. Creating the 'predicted_outputs' Database in MySQL.mp458.92MB

48. Integration - Integrating Python and SQL/4. Importing 'pymysql' in Python.mp419.05MB

48. Integration - Integrating Python and SQL/5. Creating a Connection and Cursor.mp420.97MB

48. Integration - Integrating Python and SQL/7. Creating the 'predicted_outputs' Table in MySQL.mp452.46MB

48. Integration - Integrating Python and SQL/8. Executing and SQL SELECT Statement from Python.mp425.36MB

48. Integration - Integrating Python and SQL/9. Sending Data from Jupyter to Workbench - Part I.mp476.28MB

49. Integration - Using Tableau to Analyze the Predicted Outputs/2. Using Tableau to Analyze Age vs Probability.mp456.5MB

49. Integration - Using Tableau to Analyze the Predicted Outputs/4. Using Tableau to Analyze Reasons vs Probability.mp459.3MB

49. Integration - Using Tableau to Analyze the Predicted Outputs/6. Using Tableau to Analyze Transportation Expense vs Probability.mp440.63MB

5. Intro to Data and Data Science - Common Data Science Techniques/1. Traditional Data Techniques.mp4138.4MB

5. Intro to Data and Data Science - Common Data Science Techniques/10. Traditional Methods Techniques.mp4111.64MB

5. Intro to Data and Data Science - Common Data Science Techniques/12. Traditional Methods Real-life Examples.mp442.85MB

5. Intro to Data and Data Science - Common Data Science Techniques/13. Machine Learning (ML) Techniques.mp499.27MB

5. Intro to Data and Data Science - Common Data Science Techniques/15. Machine Learning (ML) Types of Machine Learning.mp4125.05MB

5. Intro to Data and Data Science - Common Data Science Techniques/17. Machine Learning (ML) Real-life Examples.mp436.85MB

5. Intro to Data and Data Science - Common Data Science Techniques/3. Traditional Data Real-life Examples.mp429.95MB

5. Intro to Data and Data Science - Common Data Science Techniques/4. Big Data Techniques.mp475.47MB

5. Intro to Data and Data Science - Common Data Science Techniques/6. Big Data Real-life Examples.mp422.06MB

5. Intro to Data and Data Science - Common Data Science Techniques/7. Business Intelligence (BI) Techniques.mp489.85MB

5. Intro to Data and Data Science - Common Data Science Techniques/9. Business Intelligence (BI) Real-life Examples.mp429.51MB

6. Intro to Data and Data Science - Common Data Science Tools/1. Programming Languages & Software Employed in Data Science - All the Tools Needed.mp4103.39MB

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.mp454.35MB

8. Intro to Data and Data Science - Dispelling Common Misconceptions/1. Dispelling common Misconceptions.mp472.72MB

9. Part 2 Statistics - Population and Sample/1. Population vs sample.mp458.09MB