What you'll learn
Understanding of key statistical concepts and terminology
Proficiency in using statistical functions and methods in Python
Knowledge of probability distributions and hypothesis testing
Skills in data sampling and estimation
Ability to analyze and interpret statistical results
Familiarity with regression analysis and predictive modeling
Understanding of statistical visualization techniques
Practical experience in applying statistical analysis to real-world datasets
Python Data Expert
This course will provide an overview of Python data types, …
What you'll learn
1. Python Arithmetic
2. Basic Data Types
3. Variables
4. Lists
5. Tuples and Strings
6. Dictionaries and Sets
7. NumPy Arrays
8. Pandas DataFrames
9. Reading and Writing Data
10. Control Flow
11. Functions
12. List Comprehensions
13. Data Exploration and Cleaning
14. Working With Text Data
15. Preparing Numeric Data
16. Dealing With Dates
17. Merging Data
18. Frequency Tables
19. Pandas
20. NumPy