- Data Cleansing
- Statistical Analysis
- Data Manipulation
- Pivot Tables And Charts
- Python Programming
- Data Analysis
- Programming Principles
- Data Science
- NumPy
- Data Import/Export
- Pandas (Python Package)
Introduction to Data Science in Python
Completed by Tom Erick Perez Alvarez
June 3, 2020
30 hours (approximately)
Tom Erick Perez Alvarez'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
