- Pivot Tables And Charts
- Pandas (Python Package)
- Statistical Analysis
- Data Science
- Data Transformation
- Data Analysis
- Data Manipulation
- Data Cleansing
- NumPy
- Data Preprocessing
- Programming Principles
- Data Import/Export
Introduction to Data Science in Python
Completed by DHANANJAY SANJAY SHENDE
June 13, 2020
30 hours (approximately)
DHANANJAY SANJAY SHENDE'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
