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1. Part 1 Introduction
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10. Statistics - Descriptive Statistics
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11. Statistics - Practical Example Descriptive Statistics
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12. Statistics - Inferential Statistics Fundamentals
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13. Statistics - Inferential Statistics Confidence Intervals
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14. Statistics - Practical Example Inferential Statistics
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15. Statistics - Hypothesis Testing
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16. Statistics - Practical Example Hypothesis Testing
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17. Part 3 Relational Database Theory & Introduction to SQL
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18. SQL - Install and get to know MySQL
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19. SQL - Best SQL Practices
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2. Intro to Data and Data Science - The Different Data Science Fields
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1. Why Are There So Many Business and Data Science Buzzwords.mp4
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MP4
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81.39 MB
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1. Why Are There So Many Business and Data Science Buzzwords.srt
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SRT
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6.62 KB
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2. Analysis vs Analytics.mp4
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MP4
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53.5 MB
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2. Analysis vs Analytics.srt
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SRT
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5.07 KB
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3. Intro to Business Analytics, Data Analytics, and Data Science.mp4
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MP4
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64.47 MB
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3. Intro to Business Analytics, Data Analytics, and Data Science.srt
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SRT
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10.63 KB
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3.1 365_DataScience_Diagram.pdf
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PDF
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323.08 KB
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4. Intro to Business Analytics, Data Analytics, and Data Science.html
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HTML
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156 B
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5. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture.mp4
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MP4
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108.97 MB
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5. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture.srt
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SRT
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11.87 KB
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5.1 365_DataScience.png
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PNG
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7.24 MB
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5.2 365_DataScience_Diagram.pdf
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PDF
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323.08 KB
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6. Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture.html
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HTML
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156 B
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7. An Overview of our Data Science Infographic.mp4
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MP4
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67.83 MB
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7. An Overview of our Data Science Infographic.srt
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SRT
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5.1 KB
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7.1 365_DataScience.png
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PNG
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7.24 MB
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8. An Overview of our Data Science Infographic.html
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HTML
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156 B
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20. SQL - Loading the 'employees' Database
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21. SQL - Practical Application of the SQL SELECT Statement
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22. SQL - Expanding on MySQL Aggregate Functions
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23. SQL - SQL JOINs
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24. SQL - SQL Subqueries
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25. SQL - Stored Routines
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26. SQL - The CASE Statement
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27. Part 4 Introduction to Tableau
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28. Tableau - Tableau functionalities
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29. Tableau - The Tableau Exercise
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3. Intro to Data and Data Science - The Relationship between Different Fields
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30. Part 5 Combining SQL and Tableau - Introduction
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31. Combining SQL and Tableau - Problem 1
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32. Combining SQL and Tableau - Problem 2
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33. Combining SQL and Tableau - Problem 3
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34. Combining SQL and Tableau - Problem 4
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35. Combining SQL and Tableau - Problem 5
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36. Part 6 Introduction to Programming with Python
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37. Python - Python Variables and Data Types
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38. Python - Python Syntax Fundamentals
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39. Python - Other Python Operators
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4. Intro to Data and Data Science - What is the Purpose of each Data Science Field
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40. Python - Conditional Statements
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41. Python - Functions
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42. Python - Python Sequences
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43. Python - Using Iterations
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44. Python - Advanced Python tools
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45. Part 7 Integration - Software Integration
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1. Getting Started with Data, Servers, Clients, Requests, and Responses.mp4
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MP4
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69.07 MB
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1. Getting Started with Data, Servers, Clients, Requests, and Responses.srt
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SRT
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5.93 KB
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10. What is Software Integration and How is it Applied.html
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HTML
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156 B
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2. Getting Started with Data, Servers, Clients, Requests, and Responses.html
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HTML
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156 B
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3. Getting Started with Data Connectivity, APIs, and Endpoints.mp4
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MP4
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104.15 MB
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3. Getting Started with Data Connectivity, APIs, and Endpoints.srt
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SRT
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8.54 KB
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4. Getting Started with Data Connectivity, APIs, and Endpoints.html
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HTML
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156 B
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5. Become Better Acquainted with APIs.mp4
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MP4
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115.63 MB
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5. Become Better Acquainted with APIs.srt
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SRT
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10.39 KB
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6. Become Better Acquainted with APIs.html
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HTML
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156 B
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7. Communication through Text Files.mp4
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MP4
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60.33 MB
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7. Communication through Text Files.srt
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SRT
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5.47 KB
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8. Communication through Text Files.html
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HTML
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156 B
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9. What is Software Integration and How is it Applied.mp4
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MP4
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63.73 MB
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9. What is Software Integration and How is it Applied.srt
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SRT
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6.71 KB
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46. Integration - What is contained in this Course
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47. Integration - Data Preprocessing Step by Step
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48. Integration - Integrating Python and SQL
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49. Integration - Using Tableau to Analyze the Predicted Outputs
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5. Intro to Data and Data Science - Common Data Science Techniques
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6. Intro to Data and Data Science - Common Data Science Tools
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7. Intro to Data and Data Science - Data Science Career Paths
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8. Intro to Data and Data Science - Dispelling Common Misconceptions
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9. Part 2 Statistics - Population and Sample
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Download Paid Udemy Courses For Free.url
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URL
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116 B
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GetFreeCourses.Co.url
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URL
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116 B
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How you can help GetFreeCourses.Co.txt
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TXT
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182 B
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