- Programming Principles
- Statistical Analysis
- Data Cleansing
- Data Analysis
- Pivot Tables And Charts
- Data Preprocessing
- Data Import/Export
- NumPy
- Data Manipulation
- Data Science
- Pandas (Python Package)
- Python Programming
Introduction to Data Science in Python
Completed by LEONARDO LOIOLA FERNANDES
September 29, 2020
30 hours (approximately)
LEONARDO LOIOLA FERNANDES'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
