Introduction to Data Science in Python
Completed by Vladimir Atanasov
May 10, 2017
30 hours (approximately)
Vladimir Atanasov'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: Text Mining
- Category: Data Wrangling
- Category: Data Analysis
- Category: Data Processing
- Category: Data-Driven Decision-Making
- Category: Data Manipulation
- Category: Data Cleansing
- Category: Data Science
- Category: Pandas (Python Package)
- Category: Data Import/Export
