Data Science
Data
Science Overview, Python for Data Science, Data Analytics, Data
Visualization, Processes in Data Science, Data Wrangling, Exploration
& Model Selection
No lessons are available yet.
Content
- Exploratory Data Analysis or EDA
- Statistical Analysis & Business Applications
- Bell Curve, Inferential Statistics
- Mathematical Computing with Python (NumPy)
- Linear Algebra
- Scientific computing with Python (Scipy)
- Machine Learning with Python (Scikit-Learn )Linear Regression
- Supervised Learning Models
- Logistic Regression
- K Nearest Neighbours (K-NN) Model
- Natural Language Processing with Scikit-Learn
- Web Scraping, R fundamentals
- Managing R/RStudio workspace
- functions & control structures in R. Data acquisition Data Preparation
- Predictive Modelling with R. Reproducible Analysis and Reporting
- Knitr. R markdown
- R Studio
- Data Graphics with R