Introduction to Data Science in Python
Completed by Natalie Glaeser
April 24, 2024
30 hours (approximately)
Natalie Glaeser'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 Import/Export
- Category: Data Preprocessing
- Category: Data Science
- Category: Pandas (Python Package)
- Category: Statistical Methods
- Category: Text Mining
- Category: Probability & Statistics
- Category: Data Wrangling
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Data Analysis
- Category: NumPy
