Introduction to Data Science in Python
Completed by Neba Roland Ngwa
May 27, 2020
30 hours (approximately)
Neba Roland Ngwa'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: NumPy
- Category: Data Transformation
- Category: Statistical Analysis
- Category: Data Wrangling
- Category: Data Analysis
- Category: Pivot Tables And Charts
- Category: Programming Principles
- Category: Text Mining
- Category: Pandas (Python Package)
- Category: Data Science
- Category: Data Import/Export
- Category: Data Preprocessing
