Data Science

Complete Program in Data Science

Kickstart your career in Data Science with our beginner-friendly foundation program. In just 2 months, you will gain practical skills in Python, SQL, statistics, and machine learning—taught through real-world projects designed to build your confidence and get you industry-ready.

4.8/5 (1,000+) ⭐⭐⭐⭐⭐ 👤 1,000+ Enrolled Students

Secure your spot now!

Duration

Course Duration (6 months)

Price

Course Price

₹ 60,000 ₹ 34,999* 42% OFF

EMI

EMI Option

₹ 5,834/month for 6 months

About Course

Next Batch Start On

Starting Soon

25+

Career Options

3 Months

Live Internship

6 months

Course Curriculum

20+

Recruiters

Courses In Data Science

1

Complete Program

Complete Program in Data Science

⭐⭐⭐⭐⭐

₹ 34,999.00 ₹ 60,000.00 42% OFF

6 months duration

EMI: ₹ 5,834/month for 6 months

Advanced ML

AI

2

Foundation Program

Foundation Program in Data Science

⭐⭐⭐⭐⭐

₹ 14,999.00

3 months duration

EMI: ₹ 5,000/month for 3 months

Advanced ML

AI

Comprehensive Roadmap

The curriculum has been designed by faculty from Expert Industry Professionals and NSDC

100+
Live Sessions

12+
Tools and Software

8+
Course Module

Complete Program in Data Science

Complete Data Science Curriculum

Course Overview

Advanced data science program with deep learning, advanced ML algorithms, AI techniques, and comprehensive industry projects with placement support.

Module 1: Introduction to Data Science

Learning Objectives

Understand what data science is and its applications
Learn the data science workflow and methodology
Set up development environment and tools
Develop analytical thinking and problem-solving skills

Topics Covered

What is data science and its applications
Data science vs analytics vs business intelligence
Types of data and data sources
Data science lifecycle (CRISP-DM methodology)
Python vs R: choosing the right tool
Setting up Anaconda and Jupyter Notebooks
Introduction to Git and version control

Practical Assignment

Set up your data science environment and create your first Jupyter notebook with a simple data exploration project.

Module 2: Python Programming Fundamentals

Learning Objectives

Master Python fundamentals for data manipulation
Learn essential data science libraries
Understand programming best practices

Topics Covered

Python syntax, data types, and variables
Control structures (loops, conditionals)
Functions and modules
Error handling and debugging
NumPy for numerical computing
Pandas for data manipulation
Basic data visualization

Practical Assignment

Build a complete data analysis project using Python libraries to clean, analyze, and visualize a real dataset.

Want to see the complete roadmap?

Get access to all modules, advanced topics, and detailed learning path

Module 1: Introduction to Data Science

Learning Objectives

Understand what data science is and its applications
Learn the data science workflow and methodology
Set up development environment and tools
Develop analytical thinking and problem-solving skills

Topics Covered

What is data science and its applications
Data science vs analytics vs business intelligence
Types of data and data sources
Data science lifecycle (CRISP-DM methodology)
Python vs R: choosing the right tool
Setting up Anaconda and Jupyter Notebooks
Introduction to Git and version control

Practical Assignment

Set up your data science environment and create your first Jupyter notebook with a simple data exploration project.

Module 2: Python Programming Fundamentals

Learning Objectives

Master Python fundamentals for data manipulation
Learn essential data science libraries
Understand programming best practices

Topics Covered

Python syntax, data types, and variables
Control structures (loops, conditionals)
Functions and modules
Error handling and debugging
NumPy for numerical computing
Pandas for data manipulation
Basic data visualization

Practical Assignment

Build a complete data analysis project using Python libraries to clean, analyze, and visualize a real dataset.

Module 3: Machine Learning Fundamentals

Learning Objectives

Understand machine learning concepts
Learn supervised learning algorithms
Master model evaluation techniques

Topics Covered

Types of machine learning
Linear and logistic regression
Decision trees and random forests
Model training and evaluation
Scikit-learn library basics
Cross-validation techniques

Practical Assignment

Build and evaluate multiple machine learning models on a real dataset and compare their performance.

Module 4: Data Visualization and Communication

Learning Objectives

Create compelling data visualizations
Learn to communicate insights effectively
Build interactive dashboards

Topics Covered

Advanced matplotlib and seaborn
Interactive visualizations with Plotly
Dashboard creation
Statistical storytelling
Data presentation techniques
Business impact communication

Practical Assignment

Create a comprehensive data science project with visualizations and present findings to stakeholders.

Placement Statistics

Placement is never been so easy until Skill For Career started providing best course training.

20+
Career Options

1000+
Placement Done

6-25 LPA
Average Salary

Languages and Tools Covered

Python

Docker

GIT

Github

Google Sheet

Jupyter

Keras

Learn

Matplotlib

My SQL

NumPy

Panda

Power BI

Seaborn

Spark

Tableau

Tensor Flow

Transform your career with professional certification program in data science and prepare for certification from Skill For Career education

6 months | Online Learning With 24 x 7 Support

Our Certificate

Showcase your Course Completion Certificate to Recruiters

Course Completion Certificate From Skill For Career Education

Internship Certificate From Partner Companies

Data Science Course

Skill For Career Academy - Alumni Success Highlights

🚀 Financial Success

₹8.5L

Average CTC

₹24L

Highest CTC

Salary Hike Distribution

0-2yr | 2-4yr | 4-6yr | 6-8yr | 8+yr Experience

Average Salary Hike156%

🚀 Job Market Data

2,400+

Annual Vacancies

94%

Placement Rate

Global Companies

MNCs (45%)

Startups (35%)

Others (20%)

180+

Partner Companies

🚀 Career Paths

Top Career Options

Data Scientist
ML Engineer
Data Analyst
Business Analyst
AI Researcher
Data Engineer

Industry Diversity

🚀 Banking & Finance (28%)

🚀 IT & Tech (25%)

🚀 Healthcare (15%)

🚀 E-commerce (12%)

🚀 Manufacturing (10%)

🚀 Consulting (10%)

🚀 Batch Profiles

32%

Freshers

28%

Students

25%

Graduates

8%

Professionals

4%

Business Owners

3%

Freelancers

Success Metrics

4.8/5

Course Rating

1,500+

Alumni Network

Including Housewives

Career Restart Success Stories

✨ Got more questions?

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✨ Application Process

1

Career Counselling

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2

Easy Registration

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3

Start Upskilling

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✨ Upcoming Application Deadline

Once the required amount of applicants sign up for the subsequent batch, our admissions are closed. To guarantee your spots, apply early.

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