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: Data Analysis
- Category: Data Processing
- Category: NumPy
- Category: Data Transformation
- Category: Text Mining
- Category: Statistical Analysis
- Category: Data Wrangling
- Category: Scripting Languages
- Category: Pivot Tables And Charts
- Category: Programming Principles
- Category: Statistical Methods
- Category: Probability & Statistics
