90 Days Data Science Course in India – Learn Python, SQL, Machine Learning & Real-World Analytics
Data Science is one of the fastest-growing and highest-paying career fields in the world. Companies today use Data Science, Artificial Intelligence, Machine Learning, and Analytics to make smarter business decisions, automate processes, understand customer behavior, and build intelligent systems.
If you want to build a successful career in Data Science, Python Programming, AI, Machine Learning, or Analytics, then the Aditya Data Scientist 90 Days Data Science Course is designed to help you learn practical, real-world, and industry-ready skills from beginner to advanced level.
This course focuses on:
- Practical Learning
- Real-World Projects
- Python Programming
- Data Cleaning
- SQL & Databases
- Machine Learning Fundamentals
- Analytics & Visualization
- Industry Workflow Understanding
Whether you are a student, beginner, working professional, or career switcher, this course helps you understand how professional Data Scientists work with real-world data.
Why Learn Data Science?
The world is generating massive amounts of data every second.
Businesses today use Data Science for:
- Artificial Intelligence
- Customer Analytics
- Recommendation Systems
- Fraud Detection
- Business Intelligence
- Predictive Analytics
- Automation
- Marketing Analysis
Because of this, skilled Data Scientists and Data Analysts are highly demanded globally.
About the Aditya Data Scientist 90 Days Data Science Course
The Aditya Data Scientist 90 Days Data Science Course is a practical learning program specially designed for beginners and aspiring professionals who want to build strong foundations in Data Science using Python.
Unlike many theoretical courses, this program focuses heavily on:
- Hands-on Coding
- Practical Datasets
- Real Industry Examples
- Problem Solving
- Analytics Thinking
- Real-World Projects
Students will learn how professional Data Scientists:
- Clean messy data
- Analyze trends
- Build Machine Learning basics
- Generate business insights
- Structure large datasets
- Process JSON & APIs
What You Will Learn in This 90 Days Data Science Course
| Technology | Skills You Will Learn |
| Python Programming | Variables, Loops, Functions, OOP, File Handling |
| Data Cleaning | Missing Values, Preprocessing, Validation |
| SQL | Queries, Joins, Relationships, Databases |
| Machine Learning | Model Building Fundamentals |
| Data Analytics | Trends, Insights, Reporting |
| Data Visualization | Charts, Dashboards, Graphs |
Core Topics Covered
Python for Data Science
Learn Python from beginner to advanced level for Data Science applications.
Topics include:
- Variables & Data Types
- Loops & Conditions
- Functions
- Object-Oriented Programming
- File Handling
- JSON Processing
- APIs & Data Structures
Data Cleaning & Data Preprocessing
Data Cleaning is one of the most important skills in Data Science.
You will learn:
- Missing Value Handling
- Data Validation
- Duplicate Removal
- Data Structuring
- Normalization Techniques
- Real-World JSON Cleaning
- Data Transformation Pipelines
SQL & Database Management
Databases are the backbone of modern analytics systems.
Topics covered:
- SQL Queries
- Filtering & Sorting
- Database Relationships
- Joins & Aggregations
- Data Extraction
- Reporting Queries
Machine Learning Fundamentals
Learn how Machine Learning works using practical examples.
Topics include:
- Supervised Learning
- Regression Basics
- Classification
- Feature Engineering
- Model Evaluation
- Prediction Systems
Data Analytics & Visualization
Understand how to generate meaningful business insights using data.
You will learn:
- Analytics Workflow
- Data Interpretation
- Reporting
- Dashboard Concepts
- Visual Storytelling
Tools & Technologies Used
During this course, students will work with modern Data Science tools and technologies.
| Tools | Purpose |
| Python | Programming & Analytics |
| SQL | Database Querying |
| JSON | Structured Data Handling |
| Machine Learning Libraries | AI Model Building |
| Analytics Tools | Data Interpretation |
Real-World Project Based Learning
This course focuses heavily on practical implementation.
Students will work on:
- Data Cleaning Projects
- Analytics Systems
- Machine Learning Basics
- Real-World Datasets
- Structured Reporting Systems
- JSON & API Processing
This helps students build confidence and practical problem-solving abilities.
Why Practical Learning Matters
Most students learn only theory.
But companies hire professionals who can:
- Solve Problems
- Analyze Data
- Structure Information
- Generate Insights
- Work with Real Datasets
- Build Analytics Pipelines
The Aditya Data Scientist 90 Days Data Science Course focuses on building these real-world skills step-by-step.
Who Can Join This Course?
This course is suitable for:
✅ Students
✅ Beginners in Python
✅ Working Professionals
✅ Career Switchers
✅ Future Data Scientists
✅ AI & Machine Learning Enthusiasts
✅ Developers Wanting Analytics Skills
No advanced coding experience is required.
Skills You Will Build
By the end of this 90 Days Data Science Course, students will be able to:
✅ Write Python Programs Confidently
✅ Clean and Structure Datasets
✅ Work with JSON & APIs
✅ Analyze Business Data
✅ Understand SQL Databases
✅ Build Machine Learning Basics
✅ Generate Analytics Insights
✅ Work on Real-World Projects
Career Opportunities After This Course
Learning Data Science opens doors to multiple high-demand career paths.
| Career Role | Industry Demand |
| Data Analyst | High |
| Data Scientist | Very High |
| Machine Learning Engineer | Growing Rapidly |
| Business Analyst | High |
| Data Engineer | High |
Why Python is Important for Data Science
Python is one of the most powerful and beginner-friendly programming languages for Data Science and Artificial Intelligence.
Benefits of Python:
- Easy to Learn
- Industry Standard
- Excellent Libraries
- Huge Community Support
- Used in AI & Machine Learning
- Great for Automation & Analytics
Why This 90 Days Data Science Course Stands Out
Unlike traditional theoretical courses, this program focuses on:
- Practical Understanding
- Real-World Implementation
- Industry Mindset
- Hands-on Projects
- Beginner-Friendly Explanation
- Step-by-Step Mentorship
The goal is not just to teach syntax but to develop analytical thinking and professional Data Science skills.
Course Details
| Details | Information |
| Course Name | Aditya Data Scientist 90 Days Data Science Course |
| Duration | 90 Days |
| Start Date | 17 June |
| Learning Mode | Online |
| Level | Beginner to Intermediate |
| Focus | Practical & Industry-Based Learning |
Final Thoughts
Data Science is more than just Machine Learning.
Professional Data Scientists spend most of their time:
- Understanding Data
- Cleaning Data
- Structuring Information
- Analyzing Trends
- Generating Business Insights
The Aditya Data Scientist 90 Days Data Science Course is designed to help learners build these real-world skills step-by-step using practical examples, projects, and industry workflows.
If you want to build a strong future in:
- Data Science
- Artificial Intelligence
- Python Programming
- Machine Learning
- Data Analytics
then this course can help you create a powerful foundation.
Contact Information
Website: https://www.webitya.com
Trainer ID: TR592713
Email: WEBITYA@GMAIL.COM
