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Data Science

This course provides a comprehensive introduction to data science, covering essential concepts and practical skills in data analysis, machine learning, and visualization. Students will learn to clean, analyze, and interpret complex datasets using tools like Python, R, and SQL. The curriculum includes key topics such as statistics, predictive modeling, natural language processing, and data visualiz

Course Instructors: Mahendra, Social Prachar

FREE

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Course Overview

Course Curriculum

1 Subject

Data Science

4 Exercises • 3 Learning Materials

Grand Tests

Python Grand Test

Assignment

Python

Python Theory Test

Exercise

DS Theory - Upto EDA

Exercise

DS Theory - Upto ML

Exercise

Business Understanding

Understanding the Business Goals

Data Collection

Primary

Secondary

Data Validation & Normalization

Data Insigths (Stats & Visual)

Data Preparation for Predictive Modelling

Predictive Modelling (AI)

Projects on Regression, Classification, & Clustering

Deep Learning (DL)

Projects on ANN & CNN

Databases Overview

Case Study on Database Tables in SQL

Reporting Tool (Tableau/PowerBI) Overview

Case Study on Data Visualization using PowerBI/Tableau

Reporting Tool 2 - Excel Overview

Task on Data Analytics Dashboard

Course Instructor

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Mahendra

1 Courses   •   58 Students


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Social Prachar

14 Courses   •   476 Students