Pre-read Materials
Here you will find all the essential learning materials, resources, and guides carefully curated to help you master the subject step-by-step, from fundamentals to advanced concepts. Dive in and start your learning journey with confidence!
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Course Overview
Here, you’ll find comprehensive materials for every module of your Data Science journey, including step-by-step guides on how to install and set up essential tools like Python, SQL, and Power BI.
Schedule of Classes
Start Date & End Date
May 01 2025 - Jun 01 2026
Course Curriculum
1 Subject
Pre-read Materials
33 Learning Materials
Why Data Science
What is Data science through Example.
Data science for non-tech
Data Science Carrier Opportunity
Data Science Application
Data Science and Its Importance
Difference Between Data Analysis & Science
Analysis & Science Differences
Why Data Analysis & Data Science & Data Engineer
The difference between data science and data analysis
Tools Installation
Installation Anaconda Jypter Notebook (Python)
Installation MYSQL
Installation Power BI
Basic tech Concept
Things to know
What is Data and Types of Data
Understand Data Science
Advanced Microsoft Excel
Excel Introduction
Understand Vlookup, Index, match, xlookup
Learn Pivot Table and Pivot Chart
Create a sample Excel Dashboard
SQL - Structured Query Language
Introduction to SQL
Basic SQL queries
SQL fundamentals
SQL explained in 100 Seconds
Python - Beginner to Advanced
Introduction to Python
Loops in Python
Introduction to Numpy
What is Pandas? Why use it?
Read about Numpy, Matplotlib, and Pandas
Machine Learning
Understand the difference between Supervised and Unsupervised Learning
Introduction to Machine Learning
The difference between ML, DL, AI and Gen AI
Understand All Machine Learning Concepts and Terminology
How does Machine Learning work?
What is Feature Engineering?
Course Instructor
Kishan
7 Courses • 138 Students
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