This program proposes ample training on the most desired Data Science and Machine Learning skills also touching base with the human intelligence.
Section 1- Describes what data science, its applications, process and its environment setup.
Section 2- Gains hands on practice with python basics like operators, variables, conditional statements, python data structures, OOPS, iterators, decorators, file handling, modules needed for data science.
Section 3- This Introduces you to the mathematical concepts that needed for the course like statistics-descriptive, inferential, probability and distributions, hypothesis testing and A/B testing.
Section 4-Gains a hands on practice with python numpy, pandas, matplotlib and seaborn which are needed for data analytics to import datasets, analyze and visualize.
Section 5 and 6- Learn about scikit-learn, EDA , feature Engineering, machine learning models, evaluation metrics in a detailed manner.
Section 7- It covers Deep learning concepts, NLP concepts, web scraping, JSON, api, and Big data, SQl and NO SQL.
Section 8- Capstone Project- Students synthesize and apply knowledge which they gained throughout the course in data science programming for working with datasets and get the conclusion of the datasets.