This is data science course for beginners. Its a 1 hour of crash course and it covers the below topics

Chapter 1:- The main goal :- Artificial intelligence

Chapter 2:- Human attempts for implementing AI

Chapter 3:- Machine Learning - Self learning

Chapter 4:- TAMA Machine learning life cycle.

Chapter 5:- Data science - Multi-disciplinary field.

Chapter 6:- Implementing Linear regression using excel.(Lab 1)

Chapter 7:- Summarizing what data science constitutes.

Chapter 8:- Supervised VS non-supervised learning

Chapter 9:- implementing non-supervised learning using excel (Lab2)

Chapter 10:- Data mining

Chapter 11:- Deep learning and neural networks

Chapter 12:- Summarizing AI,ML and DS space.

Chapter 13:- Why python is preferred for AI,ML and DS ?

Chapter 14:- Installation of python framework and pycharm IDE

Chapter 15:- Implementing Linear regression using python and scipy (Lab3)

Chapter 16:- Installation of R framework and R studio

Chapter 17:- Implementing Linear regression using R programming (Lab4)

Chapter 18:- Installation of python framework and pycharm IDE

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