- Pandas (Python Package)
- Data Cleansing
- Data Analysis
- Programming Principles
- Data Preprocessing
- Data Import/Export
- NumPy
- Data Science
- Data Transformation
- Python Programming
- Statistical Analysis
- Data Manipulation
Introduction to Data Science in Python
Completed by #CHUA HAN YU JEREMY#
May 9, 2023
30 hours (approximately)
#CHUA HAN YU JEREMY#'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
