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

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

Become a data analysis expert using the R programming language in this [data science](https://360digitmg.com/usa/data-science-using-python-and-r-programming-in-dallas "data science") certification training in Dallas, TX. You will master data...

Learn Data Science | How to Learn Data Science for Free. In this post, I have described a learning path and free online courses and tutorials that will enable you to learn data science for free.

When we talk about data processing, Data Science vs Big Data vs Data Analytics are the terms that one might think of and there has always been a confusion between them. In this article on Data science vs Big Data vs Data Analytics, I will understand the similarities and differences between them