- Data Science
- NumPy
- Data Import/Export
- Data Cleansing
- Programming Principles
- Python Programming
- Pivot Tables And Charts
- Pandas (Python Package)
- Data Analysis
- Data Manipulation
- Statistical Analysis
Introduction to Data Science in Python
Completed by Olumayowa Ayomide Oyaleke
July 30, 2020
30 hours (approximately)
Olumayowa Ayomide Oyaleke'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
