- NumPy
- Data Cleansing
- Data Science
- Programming Principles
- Data Preprocessing
- Data Import/Export
- Data Transformation
- Pandas (Python Package)
- Data Manipulation
- Python Programming
- Pivot Tables And Charts
- Data Analysis
Introduction to Data Science in Python
Completed by Jurgita Cerneviciene
August 25, 2020
30 hours (approximately)
Jurgita Cerneviciene '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
