- Data Manipulation
- Statistical Analysis
- Data Cleansing
- Python Programming
- Programming Principles
- Jupyter
- Data Analysis
- Pivot Tables And Charts
- Pandas (Python Package)
- Data Import/Export
- NumPy
- Probability & Statistics
Introduction to Data Science in Python
Completed by Nicholas Christopher Cruickshank
June 20, 2020
30 hours (approximately)
Nicholas Christopher Cruickshank'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
