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✨ Exclusive Offline Program
Data Science Program Overview
This program provides a foundational introduction to data science over five sessions. Participants will learn essential concepts such as data types, data cleaning, and exploratory data analysis using Python and visualization libraries. Statistical methods for data analysis and basic machine learning concepts will also be covered, offering participants practical skills to analyze data and make informed decisions in various domains.
10K+
Active Learners
03
Months
100%
Career Opportunities
1 : 1
Mentorship
On-Campus
Classroom Experience
Curriculum
Data Science
01
Python Fundamentals
5 topics
Topics
- ✓Installation of Anaconda Prompt
- ✓Jupyter Notebook Overview & Shortcut Keys
- ✓Data Types in Python
- ✓Python Architecture & Data Structures
- ✓Do's and Don'ts in Python
02
Python File Handling & Collections
5 topics
03
Loops, Conditionals & Doubt Clearing
5 topics
04
Data Analysis with NumPy & Pandas
5 topics
05
Data Visualization & Statistics
5 topics
06
Supervised & Unsupervised Learning
5 topics
07
Data Preprocessing & Tree-Based Models
5 topics
08
Neural Networks & Capstone Project
5 topics
09
Business Intelligence Tools
5 topics
Module 1
Python Fundamentals
Topics Covered
- ✓Installation of Anaconda Prompt
- ✓Jupyter Notebook Overview & Shortcut Keys
- ✓Data Types in Python
- ✓Python Architecture & Data Structures
- ✓Do's and Don'ts in Python
Tools You Will Learn
Core tools used in real development teams.
Data Science
01
Python
Perform end-to-end analysis, modeling, and automation tasks.
02
Pandas
Clean, transform, and analyze large tabular datasets efficiently.
03
Power BI
Create business dashboards and actionable visual analytics reports.
04
Tableau
Build interactive visual stories for decision-making insights.
05
SQL
Extract and aggregate data from structured data sources.
06
Statistics
Apply probability and statistical testing for better conclusions.
Program highlights
Core Skills You'll Master in data-science
Industry-ready tools and skills used by real development teams.
Statistics & Probability
Machine Learning (ML)
Data Engineering
Data Collection Methods
Data Cleaning & Preparation
Exploratory Data Analysis (EDA)
Data Visualization
Statistical Analysis
Predictive Modeling
Big Data Technologies
Real-world Data Applications
Ethics and Data Privacy
Data Tools & Programming Languages
Data Science Career Paths
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Why Learn from InnoKnowvex
We don't stop at teaching
01
Resume building
Get a professional resume crafted with expert guidance.
02
Mock interviews
Face real interview simulations before the actual day.
03
Placement assistance
100% placement support with our hiring partner network.
04
LinkedIn optimization
Build a profile that gets noticed by recruiters.
Batch Details
Upcoming batches
Next batch
July 5, 2026
Filling fastSeats available
30 seats
Timing
9 AM - 1 PM
Duration
3 months
Certificate
Prove What You've Achieved
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