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Data Science & Machine Learning with Python

From Data Analysis to Building ML Models

4.8
(2,956 reviews)
8,750 students enrolled
45 hours
Total Duration
135
Modules
Intermediate
Skill Level
Certificate
Included
English
All Devices
Lifetime Access
Certificate
Community Access
Career Support

What's Included in This Course

45 hours of video content
135 lessons
8 real-world projects
Lifetime access
Certificate of completion
Mobile and desktop access

Join us to master in-demand skills & technologies

Full Stack Dev
UI/UX Design
Next.js
Data Science
AI/ML
App Dev
Illustrator
Mobile Dev
Analytics
Machine Learning
DevOps
Version Control
TypeScript
Full Stack Dev
UI/UX Design
Next.js
Data Science
AI/ML
App Dev
Illustrator
Mobile Dev
Analytics
Machine Learning
DevOps
Version Control
TypeScript
Full Stack Dev
UI/UX Design
Next.js
Data Science
AI/ML
App Dev
Illustrator
Mobile Dev
Analytics
Machine Learning
DevOps
Version Control
TypeScript

What You'll Learn

Master Python for data science and analysis
Perform data cleaning and preprocessing
Create stunning visualizations with Matplotlib and Seaborn
Build machine learning models with scikit-learn
Implement deep learning with TensorFlow and Keras
Work with Pandas for data manipulation
Apply statistical analysis techniques
Deploy ML models to production
Handle big data with PySpark
Build recommendation systems
Implement natural language processing
Create end-to-end data science projects

Transform Your Career Challenges

See how this course solves real problems faced by aspiring developers

Problem

Lack of practical ML project experience

Solution

Build 8+ real-world data science projects

Problem

Difficulty understanding complex algorithms

Solution

Learn through visual explanations and hands-on coding

Problem

Not knowing how to deploy ML models

Solution

Complete deployment section with cloud platforms

Our Placement Process

Your journey from preparation to placement in 5 simple steps

Step 1

Meet IIACL Placement Officer

Register with our dedicated placement officer (Registered under IIACL - Rojgar Portal) to begin your placement journey.

Step 2

Resume Preparation

Get professional assistance in crafting a compelling resume that highlights your skills and projects.

Step 3

Technical Eligibility Mock Session

Participate in mock technical interviews and assessments. Minimum 35% and above marks required to proceed.

Step 4

Shortlist Company's Name And Schedule Interview

Based on your profile and preferences, we shortlist suitable companies and schedule interviews for you.

Step 5

Selection & Joining

Successfully clear the interviews, receive your offer letter, and join your dream company.

Course Curriculum

4 modules • 45 hours total length

Python Fundamentals Review
NumPy for Numerical Computing
Pandas for Data Manipulation
Data Analysis Project
Matplotlib Fundamentals
Advanced Seaborn Visualizations
Interactive Dashboards with Plotly
Visualization Project
Introduction to ML
Supervised Learning Algorithms
Unsupervised Learning
ML Model Building Project
Neural Networks Basics
CNN for Image Classification
RNN for Sequence Data
Deep Learning Capstone
Real-World Projects

Build Your Portfolio

Create production-ready projects that showcase your skills to employers

Customer Churn Prediction

Customer Churn Prediction

High - Demonstrates business problem-solving

Build a machine learning model to predict customer churn for a telecom company

Technologies Used:
Python
Pandas
Scikit-learn
Matplotlib
Seaborn
What You'll Build:
Data preprocessing and feature engineering
Model selection and training
Performance evaluation
Business insights generation
Image Classification System

Image Classification System

Very High - Shows deep learning expertise

Create a deep learning model to classify images using CNN

Technologies Used:
TensorFlow
Keras
OpenCV
NumPy
What You'll Build:
CNN architecture design
Transfer learning implementation
Model optimization
Real-time prediction system
Exclusive Bonuses

Get More Value

Enroll today and unlock these exclusive bonuses worth ₹15,000+

Access to exclusive data science community
Monthly live coding sessions
Jupyter notebook templates
ML cheat sheets and guides
Lifetime course updates

Turn Practice Into
Real-World Confidence

Join thousands of learners improving their skills through expert-led courses and real-world practice tests.

15K+
Active Learners
500+
Skill Tests
92%
Success Rate
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Designed by Industry Experts
from Google, Amazon & Microsoft

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Frequently Asked Questions

Got questions? We've got answers.

Yes, this course is designed for beginners as well as students with basic knowledge. We start from fundamentals and gradually move to advanced, practical concepts.
All sessions are conducted through live online classes. We focus on real-time interaction, doubt-solving, and hands-on learning. Recorded sessions are not provided.
Course access is valid only for the course duration. Once the course validity ends, access to classes and learning resources will also end.
Yes, students who successfully complete the course and internship requirements will receive a course and internship completion certificate.
Absolutely. You’ll get mentor support during live sessions, along with guidance for assignments, projects, and internship tasks.