Data Analyst / Business Intelligence
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Course Overview
Schedule of Classes
Course Curriculum
1 Subject
Data Analyst / Business Intelligence
0 Exercises • 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
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