Course Duration: 30 Days
Mode of Training: Online
Certificate: YES
Course Content:
- Introduction to Python for Data Science
- Introduction to Python
- Introduction to Spyder
- Introduction to Spyder
- Variables and Datatypes
- Operators
- Jupyter setup
- Sequence Data
- Numpy
- Reading data
- Pandas Dataframes
- Control structures & Functions
- Data Analysis
- Data Visualization
- Dealing with missing data
- Case Study on Classification
- Case Study on Regression
- Predictive Modelling
- Linear Regression
- Classification
- Logistic Regression
- K – Nearest Neighbors (kNN)
- K – means Clustering
- Decision Trees
- Multiple Linear Regression
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