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Data Analyst / Business Intelligence

Course Instructor OdinSchool

FREE

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Course Overview

Schedule of Classes

Course Curriculum

1 Subject

Data Analyst / Business Intelligence

44 Learning Materials

Statistics

1. What statistics is and what data are?

2. Qualitative data (nominal and ordinal)

3. Quantitative data (discrete and continuous)

4. Sample and Population

5. Sampling techniques

6. Measures of Central Tendency (Mean, median and mode)

7. Measures of Dispersion (variance, sd and IQR) and skewness

8. Bar plot

9. Pie chart

10. Histograms

11. Scatter plots

12. Box whiskers-Plot

13. Graph hands on python

14. Intro to probability

15. Important concepts (event, set, subset, sample space)

16. Important concepts (intersection, union, complement)

17. Disjoint, non-disjoint and independent event

18. Conditional probability

19. Normal distribution

20. Bayesian inference

21. Binomial distribution

22. Poisson distribution

23. Central Limit Theorem

24. Confidence Interval

25. Null and alternative hypothesis

26. One tailed and two tailed tests

27. Significance level and p value

28. Type I and Type II Errors

29. Statistical power

30. T distribution and degree of freedom

31. One sample T test

32. Independent sample T test

33. Paired T test

34. F distribution

35. One way Anova

36. Two way Anova

37. Contingency Table

38. Pearson's correlation coefficient

39. Chi-square Test

Statistics - Live Session - Recording - Week 1 - Day 2

Statistics - Live Session - Recording - Week 2 - Day 1

Statistics - Live Session - Recording - Week 2 - Day 2

Statistics - Live Session - Recording - Week 3 - Day 1

Statistics - Live Session - Recording - Week 3 - Day 2

Advanced Excel

Tableau

Power BI

Get prepared for PL 300 exam

Course Instructor

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OdinSchool

112 Courses   •   34469 Students