The document serves as an introductory guide to statistics for data science, covering fundamental concepts and types of analysis. It includes discussions on measures of central tendency, variability, and types of data distributions. The content is aimed at helping statisticians understand essential statistical principles and applications.

1. The Basics of Statistics
for Data Science
By Statisticians

2. INSIDE THE GUIDE
TOPICS AND HIGHLIGHTS

3. OVERVIEW

4. INTRODUCTION TO
STATISTICS

5. TYPES OF ANALYSIS
STATISTICS HAS TWO TYPES OF
ANALYSIS

6. DATA TYPES
STATISTICS HAS TWO TYPES OF DATA
TYPES

7. MEASURES OF CENTRAL
TENDENCY

8. Σ
Σ
MEASURES OF
VARIABILITY

9. MEASURES OF
VARIABILITY

10. MEASUREMENTS OF
RELATIONSHIPS BETWEEN
VARIABLES

11. PROBABILITY DISTRIBUTION
FUNCTIONS

12. CONTINUOUS DATA
DISTRIBUTIONS

13. CONTINUOUS DATA
DISTRIBUTIONS

14. DISCRETE DATA
DISTRIBUTIONS

15. MOMENTS

16. Probability

17. ACCURACY

18. ACCURACY

19. CONCLUSION

20. FOLLOW US ON SOCIAL MEDIA

21. CONTACT US