- Data Transformation
- Data Analysis
- Programming Principles
- NumPy
- Python Programming
- Statistical Analysis
- Data Import/Export
- Data Preprocessing
- Pandas (Python Package)
- Data Manipulation
- Data Cleansing
- Pivot Tables And Charts
Introduction to Data Science in Python
Completed by BONAMERE SARMIENTO JINANG
April 16, 2020
30 hours (approximately)
BONAMERE SARMIENTO JINANG'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
