GetFreeCourses.Co-Udemy-The Business Intelligence Analyst Course 2022

1. 11. Statistics - Practical Example Descriptive Statistics/1. Practical Example.mp4 164.32 MB
2. 17. Part 3 Relational Database Theory & Introduction to SQL/9. Comparing Databases and Spreadsheets.mp4 160.53 MB
3. 5. Intro to Data and Data Science - Common Data Science Techniques/1. Traditional Data Techniques.mp4 141.72 MB
4. 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 129.79 MB
5. 5. Intro to Data and Data Science - Common Data Science Techniques/15. Machine Learning (ML) Types of Machine Learning.mp4 128.06 MB
6. 45. Part 7 Integration - Software Integration/5. Become Better Acquainted with APIs.mp4 118.40 MB
7. 5. Intro to Data and Data Science - Common Data Science Techniques/10. Traditional Methods Techniques.mp4 114.32 MB
8. 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 111.59 MB
9. 17. Part 3 Relational Database Theory & Introduction to SQL/7. Relational Database Fundamentals.mp4 110.28 MB
10. 45. Part 7 Integration - Software Integration/3. Getting Started with Data Connectivity, APIs, and Endpoints.mp4 106.65 MB
11. 6. Intro to Data and Data Science - Common Data Science Tools/1. Programming Languages & Software Employed in Data Science - All the Tools Needed.mp4 105.87 MB
12. 17. Part 3 Relational Database Theory & Introduction to SQL/5. Introducing Databases.mp4 105.33 MB
13. 14. Statistics - Practical Example Inferential Statistics/1. Practical Example Inferential Statistics.mp4 105.10 MB
14. 5. Intro to Data and Data Science - Common Data Science Techniques/13. Machine Learning (ML) Techniques.mp4 101.65 MB
15. 18. SQL - Install and get to know MySQL/1. Installing MySQL Workbench and Server.mp4 101.48 MB
16. 30. Part 5 Combining SQL and Tableau - Introduction/1. Introduction to Software Integration.mp4 94.94 MB
17. 15. Statistics - Hypothesis Testing/1. The Null vs Alternative Hypothesis.mp4 94.29 MB
18. 17. Part 3 Relational Database Theory & Introduction to SQL/11. Important Database Terminology.mp4 92.67 MB
19. 23. SQL - SQL JOINs/22. The Functionality of CROSS JOIN.mp4 92.03 MB
20. 5. Intro to Data and Data Science - Common Data Science Techniques/7. Business Intelligence (BI) Techniques.mp4 92.00 MB
21. 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 89.55 MB
22. 30. Part 5 Combining SQL and Tableau - Introduction/2. Combining SQL and Tableau.mp4 85.91 MB
23. 15. Statistics - Hypothesis Testing/4. Rejection Region and Significance Level.mp4 84.50 MB
24. 2. Intro to Data and Data Science - The Different Data Science Fields/1. Why Are There So Many Business and Data Science Buzzwords.mp4 83.34 MB
25. 47. Integration - Data Preprocessing Step by Step/11. Splitting a Variable into Multiple Dummy Variables.mp4 83.08 MB
26. 13. Statistics - Inferential Statistics Confidence Intervals/3. Confidence Intervals; Population Variance Known; z-score.mp4 80.06 MB
27. 48. Integration - Integrating Python and SQL/9. Sending Data from Jupyter to Workbench - Part I.mp4 78.11 MB
28. 5. Intro to Data and Data Science - Common Data Science Techniques/4. Big Data Techniques.mp4 77.28 MB
29. 36. Part 6 Introduction to Programming with Python/3. Why use Python.mp4 76.89 MB
30. 47. Integration - Data Preprocessing Step by Step/16. Categorizing the Various Reasons for Absence.mp4 76.35 MB
31. 8. Intro to Data and Data Science - Dispelling Common Misconceptions/1. Dispelling common Misconceptions.mp4 74.47 MB
32. 10. Statistics - Descriptive Statistics/1. Types of Data.mp4 74.22 MB
33. 24. SQL - SQL Subqueries/7. SQL Subqueries Nested in SELECT and FROM.mp4 73.37 MB
34. 13. Statistics - Inferential Statistics Confidence Intervals/12. Confidence intervals. Two means. Dependent samples.mp4 72.14 MB
35. 17. Part 3 Relational Database Theory & Introduction to SQL/1. Why use SQL.mp4 71.75 MB
36. 16. Statistics - Practical Example Hypothesis Testing/1. Practical Example Hypothesis Testing.mp4 71.04 MB
37. 45. Part 7 Integration - Software Integration/1. Getting Started with Data, Servers, Clients, Requests, and Responses.mp4 70.73 MB
38. 2. Intro to Data and Data Science - The Different Data Science Fields/7. An Overview of our Data Science Infographic.mp4 69.46 MB
39. 23. SQL - SQL JOINs/5. The Functionality of INNER JOIN - Part II.mp4 68.70 MB
40. 25. SQL - Stored Routines/9. Create Stored Procedures with an Input Parameter.mp4 66.05 MB
41. 2. Intro to Data and Data Science - The Different Data Science Fields/3. Intro to Business Analytics, Data Analytics, and Data Science.mp4 66.02 MB
42. 45. Part 7 Integration - Software Integration/9. What is Software Integration and How is it Applied.mp4 65.25 MB
43. 12. Statistics - Inferential Statistics Fundamentals/9. Central Limit Theorem.mp4 64.42 MB
44. 47. Integration - Data Preprocessing Step by Step/3. Exploring the Data Set.mp4 63.31 MB
45. 47. Integration - Data Preprocessing Step by Step/7. Dropping Variables We Don't Need.mp4 63.17 MB
46. 12. Statistics - Inferential Statistics Fundamentals/2. What is a Distribution.mp4 63.14 MB
47. 45. Part 7 Integration - Software Integration/7. Communication through Text Files.mp4 61.78 MB
48. 26. SQL - The CASE Statement/1. The SQL CASE Statement.mp4 60.86 MB
49. 49. Integration - Using Tableau to Analyze the Predicted Outputs/4. Using Tableau to Analyze Reasons vs Probability.mp4 60.73 MB
50. 27. Part 4 Introduction to Tableau/5. Let's Create our first Chart in Tableau!.mp4 60.38 MB