- Data Manipulation
- Data Analysis
- Data Cleansing
- Python Programming
- NumPy
- Programming Principles
- Pandas (Python Package)
- Jupyter
- Pivot Tables And Charts
- Data Science
- Probability & Statistics
- Statistical Analysis
Introduction to Data Science in Python
Completed by AKSHAY PRASANNAKUMAR
April 4, 2020
30 hours (approximately)
AKSHAY PRASANNAKUMAR's account is verified. Coursera certifies their successful completion of Introduction to Data Science in Python
What you will learn
Understand techniques such as lambdas and manipulating csv files
Describe common Python functionality and features used for data science
Query DataFrame structures for cleaning and processing
Explain distributions, sampling, and t-tests
Skills you will gain
