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Industry-focused learning
Go beyond theory with real projects, case studies, and tools used by top teams.
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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.
Key Highlights of our
data-science
program
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
Curriculum
Data Science
01
Python Fundamentals
5 topics
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
Why learn from InnoKnowvex?
Not just another course — a complete launchpad for your tech career.
Career-firstTraining · Mentorship · Placement
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Internships & live exposure
Work on real-time problems and internships that make your resume stand out.
03
Career-ready support
From resume to mock interviews, we help you move confidently into your first role.
04
Personal branding
Optimize LinkedIn and your portfolio so recruiters find you, not the other way around.
Certificate
Prove What You've Achieved
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