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دسته بندی دوره ها

Data Analytics Career Overview – From Skills to Interviews

سرفصل های دوره

A guide to your career in analytics track


1. Course Overview
  • 1. Intro to the course
  • 2. Course Materials.html

  • 2. Analytics Roles Overview
  • 1. Analytics Roles Breakdown
  • 2. Marketing Analyst Scenario - Allocating Budget
  • 3. Operation Team Scenario - Customer Service Analysis
  • 4. People Analysis Scenario - Finding Potential Attrition
  • 5.1 Chart type for display.html
  • 5. Business Analyst Scenario - Building Reports & Dashboards
  • 6. Product Analyst Scenario - Improving E-commerce Website
  • 7. Data Scientist Scenario - Marketing Customer Segmentation

  • 3. Analytics Tools
  • 1. Analytics Tools Overview
  • 2.1 My Analysis of Googles job openings.html
  • 2. Why is SQL important
  • 3. SQL - Select & From
  • 4. SQL - Where
  • 5. SQL - Group By & Aggregation
  • 6. SQL - Order BY
  • 7.1 ERD Explanation.html
  • 7. SQL - Join & ERD
  • 8. SQL - 4 Types of Join
  • 9. SQL - Self Join
  • 10.1 More about Window Functions.html
  • 10. SQL - Window Functions
  • 11.1 Resources List.html
  • 11. SQL - Self-Learning & Portfolio Building
  • 12.1 Tableau Public Workbook.html
  • 12. Tableau - Business Intelligence & Visualization
  • 13.1 Feature Engineering Explanation.html
  • 13. PythonR - Why I need to learn PythonR
  • 14. PythonR - Example 1
  • 15. PythonR - Example 2
  • 16.1 Resources List.html
  • 16. PythonR - Resources List

  • 4. Quantitative Analysis
  • 1. Intro
  • 2. Product Sense - Metrics Definition
  • 3. Metrics Definition - Question 1
  • 4. Metrics Definition - Answer 1
  • 5. Metrics Definition - Question 2
  • 6. Metrics Definition - Answer 2
  • 7. Normalization
  • 8. Normalization - Question 1
  • 9. Normalization - Answer 1
  • 10. Normalization - Question 2
  • 11. Normalization - Answer 2
  • 12. Product Case Practice - Question
  • 13. Product Case Practice - Answer
  • 14.1 Resources List (Links embedded in pictures).html
  • 14. Recommended Resources

  • 5. Interviews
  • 1. Intro & Agenda
  • 2. Self Introduction
  • 3. Behavior Questions
  • 4. Technical Questions - Intro
  • 5. SQL - Question 1
  • 6. SQL - Solution 1
  • 7. SQL - Question 2
  • 8. SQL - Solution 2
  • 9. Technical Questions - Data Manipulations
  • 10. Technical Questions - Algorithms
  • 11. Case Interview - Intro
  • 12. Case Interview - Question 1
  • 13. Case Interview - Solution 1
  • 14. Case Interview - Question 2
  • 15. Case Interview - Solution 2
  • 16. Case Interview - Question 3
  • 17. Case Interview - Solution 3
  • 18. Case Interview - Deal with Ambiguity - Question 1
  • 19. Case Interview - Deal with Ambiguity - Solution 1
  • 20. Case Interview - Deal with Ambiguity - Question 2
  • 21. Case Interview - Deal with Ambiguity - Solution 2
  • 22. Case Interview - Advanced Analytics Intro
  • 23. Analytics Case Interview - Question 1
  • 24. Analytics Case Interview - Solution 1
  • 25. Analytics Case Interview - Question 2
  • 26. Analytics Case Interview - Solution 2
  • 27. Case Interview - Thinking Process Example 1
  • 28.1 Clustering Explanation.html
  • 28. Case Interview - Thinking Process Example 2
  • 29. Case Interview - Thinking Process
  • 30.1 Resources List.html
  • 30. Interview Resources
  • 31.1 An inspiring article about offer negotiation.html
  • 31. Offer Negotiation
  • 32.1 My LinkedIn.html
  • 32.2 Questionnaire.html
  • 32. Congratulations!
  • 33.1 AB Testing.html
  • 33. Whats Next.html
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