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Data Science Course

Master Data Science through practical learning, real-world datasets, machine learning projects, and expert mentorship to build a successful data-driven career.

Total Duration

10 Months

Track

6-8 Months

Learning Style

Practical + Project-Based

Data Science course hero

Hands-on Learning

Learn with real datasets, practical assignments, and industry case studies.

Project Portfolio

Build end-to-end Data Science and Machine Learning projects for your portfolio.

Expert Mentorship

Get personalized guidance, project reviews, and career preparation support.

Program Key Highlights

Build In-Demand Data Science Skills Through Practical Learning and Real-World Projects

This Data Science program combines Python, SQL, statistics, data visualization, machine learning, and AI into a structured learning journey. Work with real business datasets, build industry-focused projects, and gain practical experience using modern data science tools with expert mentorship and placement support.

250+

Hours of hands-on Data Science training

20+

Real-world projects and business case studies

1:1

Mentor guidance and career support

Portfolio

Industry-ready Data Science portfolio

Data Science program highlights

50+

Live mentor-led sessions

100+

Practical assignments & datasets

Career

Placement & interview support

Data Science mentor guidance

Why Learners Relate To This Program

Master Data Science through real-world projects, expert mentorship, and industry-standard tools.

Learn Python programming for data analysis and machine learning.

Master SQL for querying and managing large datasets.

Build strong foundations in statistics and probability

Perform data cleaning, preprocessing, and feature engineering.

Create interactive dashboards using Power BI and Tableau.

Develop machine learning models using Scikit-learn.

Understand supervised and unsupervised learning techniques.

Work with real-world business datasets and case studies.

Build portfolio-ready Data Science and AI projects.

Receive resume building, mock interviews, and placement support.

8 Months

Industry Training

20+ Projects

Portfolio Development

Career Ready

Placement Support

About This Course

Master Data Science Through Practical Learning, Real-World Projects, and AI-Powered Analytics

This Data Science program is designed to help learners develop strong analytical and problem-solving skills using real-world datasets and industry-standard technologies.

Learn Python, SQL, statistics, data visualization, machine learning, and artificial intelligence through a structured, project-based curriculum.

Work on real business case studies, predictive analytics, dashboards, and machine learning models to gain practical industry experience.

Build a professional portfolio, receive expert mentorship, participate in mock interviews, and prepare for high-demand Data Science careers with placement support.

Eligibility

Who can confidently start this path

12th Pass or Graduate

Basic Computer Knowledge

No Prior Data Science Experience Required

Students & Fresh Graduates

Working Professionals Looking to Upskill

Anyone Interested in Data Analytics, AI, and Machine Learning

Course Curriculum

Master Data Science Through a Structured Learning Roadmap

Each module builds practical skills in programming, analytics, visualization, machine learning, and AI through hands-on projects and real-world business datasets.

Module 1

Phase 1: Programming Fundamentals

+
  • Introduction to Data Science
  • Python Basics
  • Variables & Data Types
  • Operators & Control Statements

Module 2

Phase 2: Data Analysis

+
  • NumPy Fundamentals
  • Pandas DataFrames
  • Data Cleaning
  • Data Transformation
  • Exploratory Data Analysis (EDA)

Module 3

Phase 3: Data Visualization

+
  • Matplotlib
  • Seaborn
  • power BI
  • Tableau

Module 4

Phase 4: Artificial Intelligence

+
  • AI Fundamentals
  • Feature Engineering
  • NLP Basics
  • AI Case Studies

Module 5

Phase 5: Deployment & Career Preparation

+
  • Model Deployment
  • Git & GitHub
  • Portfolio Development
  • Mock Interviews
  • Placement Preparation

Build Industry-Based Projects

Build Real-World Data Science Projects Using Industry Datasets and Machine Learning

Sales Forecasting Dashboard

Sales Forecasting Dashboard

Sales Forecasting Dashboard

Customer Churn Prediction

Customer Churn Prediction

Develop a predictive model to identify customers likely to stop using a service.

Movie Recommendation System

Movie Recommendation System

Create a recommendation engine that suggests movies based on user preferences.

Tools They Will Learn

Master Industry-Standard Data Science, Analytics, Machine Learning, and Visualization Tools

Programming Languages

pyhton

pyhton

R Programming

R Programming

SQL

SQL

Pandas

Pandas

Seaborn

Seaborn

Matplotlib

Matplotlib

Certificate

Earn a course completion certificate you can proudly showcase

Receive a professional Data Science course completion certificate that validates your practical skills in Python, SQL, data analysis, visualization, and machine learning through real-world projects.

Recognized Proof of Learning

A professional certificate that validates your practical Data Science and Machine Learning skills. Portfolio Enhancement Add your certificate to your resume, LinkedIn profile, and professional portfolio. Industry Recognition Showcase your expertise through practical projects and hands-on learning experience. Interview Confidence Demonstrate verified skills and project experience during technical interviews.

Data Science StackCode Training Institute certificate sample

Certificate Type

Training Completion

Track

Job-Oriented Program

Duration

10 Months

Job Scope After Course Completion

Recognized Proof of Learning A professional certificate that validates your practical Data Science and Machine Learning skills. Portfolio Enhancement Add your certificate to your resume, LinkedIn profile, and professional portfolio. Industry Recognition Showcase your expertise through practical projects and hands-on learning experience. Interview Confidence Demonstrate verified skills and project experience during technical interviews.

Data Scientist

Data Analyst

Business Analyst

Machine Learning Engineer

AI Engineer

Business Intelligence Analyst

Data Engineer

Analytics Consultant

Research Analyst

Python Developer

Data Visualization Specialist

Junior AI Engineer

Companies Hiring For These Skills

Leading Product Companies, IT Services, Startups, and Analytics Firms Hire Data Science Professionals

Technology companies, consulting firms, financial institutions, healthcare organizations, e-commerce platforms, startups, and enterprise businesses actively hire Data Science professionals to analyze data, build predictive models, and develop AI-driven solutions.

Google
Meta
Amazon
Microsoft
Netflix
Adobe
IBM
Salesforce
Google
Meta
Amazon
Microsoft
Netflix
Adobe
IBM
Salesforce
TCS
Infosys
Accenture
Wipro
Cognizant
Capgemini
Oracle
Deloitte
TCS
Infosys
Accenture
Wipro
Cognizant
Capgemini
Oracle
Deloitte

Testimonial Videos

Hear from our students

Explore More Reviews
Rahul Patel
Sc

Rahul Patel

Data Science

Learning Python, SQL, Power BI, and Machine Learning through practical assignments made complex topics easy to understand. My portfolio projects helped me perform confidently in interviews.

Centres In Gujarat

Ahmedabad & Rajkot centers with guidance support

Ahmedabad

Ahmedabad Learning Center

A-1114 Siddhi Vinayak Tower, Kataria Automobiles Rd, Makarba, Ahmedabad, Gujarat 380051

Rajkot

Rajkot Learning Center

B-925 RK Iconic Tower, 150 Feet Ring Rd, nr. Shital Park, Rajkot, Gujarat 360006

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Frequently Asked Questions

Got questions? We've kept the answers simple, practical, and easier to scan before joining.

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Do I need prior programming experience?+

No. The course starts with Python fundamentals and gradually progresses to advanced Data Science and Machine Learning concepts.

Which programming language will I learn?+

You will primarily learn Python along with SQL for data analysis and machine learning applications.

Will I work on real-world projects?+

Yes. You'll build industry-focused projects using real datasets, dashboards, predictive models, and machine learning applications.

Will this course cover Machine Learning?+

Yes. The curriculum includes supervised learning, unsupervised learning, model evaluation, and deployment fundamentals.

Is placement assistance provided?+

Yes. Resume preparation, mock interviews, career guidance, and placement support are included.

Will I receive a certificate?+

Receive a professional Data Science course completion certificate that validates your practical skills in Python, SQL, data analysis, visualization, and machine learning through real-world projects.