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Data Science Certification Program

6 Months of LIVE Online Learning

  • Career-Boosting Certification with Global Recognition
  • Hands-on Learning with Real-World Projects
  • Comprehensive Curriculum – Beginner to Advanced
  • Portfolio & Job-Ready Deliverables
  • Blockchain based credentials
  • Placement Support

1000+

Companies Our Learners Work In

93%

Learners Placed On Average

300+

Entrepreneurs & Freelancers Created

3-6 Lakhs

Average CTC Offered on Minimum

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Latest Curriculum Vetted By Industry Experts

Explore a comprehensive offline and online digital marketing syllabus designed by corporate trainers and vetted by industry-renowned experts &recruiters.

Leadership In Data Science

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Module
1
Introduction to Data Science

Objectives: Understand the data science landscape, tools, and applications.
Topics Covered:

  • What is Data Science?
  • Lifecycle of a Data Science Project
  • Key Tools: Python, Jupyter, GitHub, Anaconda
  • Career paths and industries using data science
    Learning Method:Video + Live Lecture + Quiz

Objectives: Master Python basics for data analysis
Topics Covered:

  • Python essentials: variables, loops, functions
  • Numpy & Pandas for data manipulation
  • Data cleaning & missing value handling
  • Basic data visualization with Matplotlib & Seaborn
    Project Task:Analyze and clean a sales dataset
    Learning Method: Hands-on Coding + Assignment

Objectives: Extract insights from raw data
Topics Covered:

  • Statistical summaries
  • Data visualization (boxplot, histogram, heatmaps)
  • Outlier detection
  • Correlation analysis
    Project Task:EDA on a Telecom Churn Dataset
    Learning Method: Notebook + Submission

Objectives: Build strong statistical reasoning for modeling
Topics Covered:

  • Descriptive vs Inferential Statistics
  • Probability theory
  • Hypothesis testing (Z-test, T-test, ANOVA)
  • Sampling techniques & distributions
    Learning Method:Live + Practice Problems

Objectives: Learn foundational ML techniques
Topics Covered:

  • Regression (Linear, Logistic)
  • Classification (KNN, SVM, Decision Trees)
  • Model selection & hyperparameter tuning
  • Model evaluation metrics: Accuracy, AUC, Confusion Matrix
    Project Task:Customer Segmentation or Loan Approval Prediction
    Learning Method: Hands-on + Mini Project

Objectives: Clean, transform and prepare data for models
Topics Covered:

  • Handling missing and duplicate data
  • Feature encoding and transformation
  • Scaling techniques (StandardScaler, MinMax)
  • Feature selection techniques
    Project Task:Create a modeling-ready dataset from messy input
    Learning Method: Coding + Assignment

Objectives: Apply statistical thinking to business problems
Topics Covered:

  • Time Series Forecasting (Basics)
  • A/B Testing
  • Recommendation Systems (Intro)
  • Fraud Detection (Intro)
    Learning Method:Case Studies + Hands-on Labs

Objectives: Learn to query data from databases
Topics Covered:

  • SELECT, WHERE, GROUP BY, JOINs
  • Subqueries & Window Functions
  • SQL for Business Analytics
    Project Task:Write SQL queries to extract insights from a business DB
    Learning Method: SQL Labs

Objectives: Build compelling visual reports
Topics Covered:

  • Best practices in data visualization
  • Interactive dashboards using Tableau or Power BI
  • Storytelling with data
    Project Task:Build a sales dashboard using public dataset
    Learning Method: Tool-based Lab

Objectives: Apply all learnings to a real-world project
Deliverables:

  • Problem statement definition
  • Data Collection → EDA → Model Building → Evaluation
  • GitHub Code + Final Report + Video Pitch
    Example Topics:
  • Predicting Loan Default Risk
  • Analyzing Healthcare Claims
  • Optimizing Customer Retention
    Learning Method:Mentor-led Project Guidance
3 Months
50 Hrs- Learning
1+ Certifications
2 Projects
80+ Tools
1+ Assessments
50+ Case Studies
15+ Templates and Blueprints
Learning Modes:

Online / Offline

Batch Timings

10:00AM – 01:00PM (Weekdays Classes)
02:00PM – 05:00PM (Weekdays Projects)
10:00AM – 05:00PM (Weekend)

Hundreds of Careers Transformed into Data scientist

Rajasree Pocham

Fresher

Marketing Consultant

Package: 9.9 LPA

Akshita M

Fresher

Senior SEO Executive

Package: 6.0 LPA

Mohammed Abbas

Sales Executive

Sr Content Associate

Package: 5.2 LPA

Sanjay H R

Fresher

SEO Analyst

Package: 5.2 LPA

Rajasree Pocham

Fresher

SEO Analyst

Package: 5.2 LPA

How our program works

The one-stop learning platform for your career

  • Industry-Vetted Curriculum
  • Guided Program
  • Specialization
  • Practical Sessions
  • Placement Cell
  • Resources & Forum

Industry-Vetted Curriculum

  • Best In Class Curriculum Approved By Industry Experts.
  • Verified Courses Supported By CEOs, COs, And Pioneers In Your Field.
  • Topic-Wise Live Sessions With Top Experts.
  • Feedback-Driven Enhancements For Ongoing Effectiveness

Expert Mentors

  • Learn From Industry Favorite Mentors With Minimum 5+ Years Of Expertise.
  • Personalized Attention With Interactive Classroom/ Online Sessions.
  • Dedicated After-Class Doubt Clearing Sessions With Program Experts.
  • Exposure To Immense Knowledge And Expertise In Every Industry.

Specialization

  • Hands-On Learning Pedagogy To Cover Practical Knowledge.
  • Real-World Simulations And Projects Out Of Theoretical Sessions.
  • Customized Projects From Multiple Disciplines For Your Learning.
  • Learn How To Demonstrate Mastery And Readiness

Practical Sessions

  • Embark On High-Profile Capstone Projects That Fuel Your Portfolio.
  • Foster Teamwork And Collaboration With Practical Sessions.
  • Tackle Real-World Problems And Develop Critical Thinking Skills.
  • Analyze Real-World Brand Cases For Valuable Insights

Placement Cell

  • Get Expert Career Planning And Development Guidance
  • Get Expert Career Planning And Development Guidance
  • Extensive Classes On Resume Creation And Portfolio Building.
  • Full Support From Applications To Job Offers With Strong Industry Partnerships.

Resources & Forum

  • Access Your Study Material And LMS For Lifetime.
  • Get A Pool Of Recorded Sessions, CheatSheets, And More
  • Explore A Wealth Of Curated Resources, Forums, And More.
  • Participate In Dynamic Discussions With Peers And Industry Veterans

Upskill. Implement. Get A Job.

Build your career as AI Engineer

Detailed & Advanced Curriculum

Learn fundamentals to advanced concepts of Artificial Intelligence & Machine Learning. The curriculum is designed as per industry standards to help you gain strong theoretical and practical knowledge.

Learn 20+ Tools in 1 Program

Master Machine Learning, Deep Learning, Neural Networks, NLP, Computer Vision, Data Analytics, and more. Become an AI & ML specialist with a structured program.

15+ Real-World Projects

Work on industry-based projects across healthcare, finance, e-commerce, and more. Apply AI & ML to solve practical problems and gain corporate exposure.

Hands-On Model Training

Run paid campaigns in Facebook, Instagram, LinkedIn, Google Ads Search, Google Ads Display and Quora. Trainers will deposit money into your campaigns account and learners can run ads and gain real time experience.

Domain Expert Trainers

Learn directly from AI & ML practitioners and researchers. Get mentorship, coding guidance, and insights from multiple domain experts with practical experience.

Industry Internship

Gain hands-on internship experience while learning. Work on live projects with AI & ML teams and get exposure to real-world applications of Artificial Intelligence.

Data Science Training Completion Certificate

Be Industry Ready With Dedicated Career Support

Soft Skill

Learn the right body language, soft skills, & presentation techniques needed to become a professional.

Mock Interviews

To get ready for all interview rounds and questions, practice with multiple levels of mock interviews.

Portfolio Building

Make a standout marketing portfolio for demonstrating to your prospective employers and clients.

Resume Building

Create a powerful digital marketing CV highlighting your credentials, experiences, & skills to land a job.

Interview

Our recruitments specialists help you optimize your job profile to get maximum number of interviews

Frequently Asked Questions (FAQs) – Data Science

Data Science involves extracting meaningful insights from data using techniques such as statistics, machine learning, data visualization, and programming.
This program is suitable for students, working professionals, or anyone interested in analyzing data, building predictive models, and making data-driven decisions.
You will learn Python, R, SQL, Pandas, NumPy, Scikit-learn, TensorFlow, Tableau, Power BI, and other essential tools for data analysis and modeling.
While basic math and programming knowledge can be helpful, the course starts with foundational concepts and guides learners through practical applications.
Yes! The program includes hands-on projects using real datasets from industries such as finance, healthcare, e-commerce, and more.
The course offers a blend of self-paced learning materials and interactive live sessions with experts to support your learning.
Absolutely. The curriculum is designed to equip you with skills needed for data analyst, data scientist, machine learning engineer, and business analyst roles.
Learners get access to mentors, doubt-solving sessions, peer communities, career guidance, and placement assistance.
Depending on your learning pace, the program can be completed in 4 to 8 months, including projects and assessments.
After completing the program, you can apply for roles such as Data Scientist, Data Analyst, Machine Learning Engineer, AI Specialist, and more.

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