Introduction to Data Science in Python
Completed by Samuel Akwowoye
June 16, 2024
30 hours (approximately)
Samuel Akwowoye'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
- Category: Data Analysis
- Category: Data Processing
- Category: Data Transformation
- Category: NumPy
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Data-Driven Decision-Making
- Category: Pandas (Python Package)
- Category: Text Mining
- Category: Data Wrangling
- Category: Statistical Methods
- Category: Statistical Analysis
