Data Science with Python and R
summary
Covers common data analysis methodologies used in Big Data and compares the two main programming languages for that work, R and Python. Discusses how methodological knowledge and result interpretation enable turning raw data into useful information, drawing on practical BI and Big Data experience.
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chapters (10)
- 0:00Data science intro
- 1:13Data science evolution
- 2:19Big Data and AI concepts
- 6:30Four data analysis types
- 11:07Exploratory analysis importance
- 14:17Data prep in Python and R
- 27:26Feature engineering and cleaning
- 30:22Model training and evaluation
- 34:30Python vs R
- 36:15Closing remarks and Q&A
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