Complete Data Analytics with Projects is a comprehensive guide on Data Analytics concepts, tools and projects. The contents of this app include:
1. Data Analytics basics and kickstart of Data analytics with projects series
2. Business Understanding — Data Driven Decision Making, Descriptive Analysis, Predictive Analysis, Diagnostic Analysis, Prescriptive Analysis
3. Data Analytics Ecosystem — Data Life Cycle, Data Analysis complete process ( most important things)
4. Probability, Conditional Probability, Binomial Distribution, Probability Density Function, Sampling Distribution
5. Statistics
6. Basic and Advanced SQL
7. Data Collection, Data Cleaning and Python
8. Pandas and Numpy
9. Data Manipulation
10. Data Visualization
11. Tableau
12. Data Analysis Projects
13. Categorical and Numerical Features
14. Missing Value Analysis
15. Fill the missing Values
16. Unique Value Analysis
17. Univariate Analysis
18. Bivariate Analysis
19. Multivariate Analysis
20. Correlation Analysis
21. Data Profiling
22. Feature Engineering
23. GroupBy Features
24. Linear Regression
25. Sort Values
26. Correlation Coefficients
27. Spearman’s ρ
28. Pearson’s r
29. Kendall’s τ
30. Cramér’s V (φc)
31. Phik (φk)
32. Standardization
33. Encoding
34. Indexing
35. Grouping
36. Sorting
37. Power BI
38. Performance Metrics
39. Linear Regression - Multi Linear Regression & Polynomial Regression
40. Regression - Support Vector Regression, Decision Tree Regression & Random Forest Regression
41. Classification - Naive Bayes & Random Forest e.t.c