Data Science

Hands-on projects, Real industry tools, Career-focused training.
Everything you need to break into tech with confidence.

Data Science

Master Data Science. Get Hired.

Bridge the gap between theory and industry reality. This comprehensive program equips you with the exact tools top employers look for: Python, SQL, Power BI, and Machine Learning.

Through practical, project-based learning, you will master data cleaning, predictive modeling, and executive-level reporting. Perfect for beginners and transitioning professionals looking to secure high-growth roles in Data Analytics and Data Science.

Explore Our Course Modules

Module 1: Python Programming Fundamentals

  • Reading and Writing Files
  • Working with Directories
  • Command Prompt & Terminal Basics
  • File Handling using with
  • Conditional Statements (if, elif, else)
  • For Loop & While Loop

Module 2: Python File Handling & Control Flow

  • Reading and Writing Files
  • Working with Directories
  • Command Prompt & Terminal Basics
  • File Handling using with
  • Conditional Statements (if, elif, else)
  • For Loop & While Loop

Module 3: NumPy & Data Manipulation

  • Introduction to NumPy
  • Arrays and Array Operations
  • Mathematical Functions
  • Data Manipulation
  • NumPy Hands-on Practice

Module 4: Data Analysis with Pandas

  • Introduction to Pandas
  • Series & DataFrames
  • Data Cleaning
  • Filtering & Sorting Data
  • GroupBy & Aggregation
  • Pandas Hands-on

Module 5: Data Visualization

  • Data Visualization Fundamentals
  • Matplotlib
  • Seaborn
  • Exploratory Data Analysis (EDA)
  • Visualizing Insights
  • Hands-on Visualization Projects

Module 6: Statistics for Data Science

  • Statistical Thinking
  • Measures of Central Tendency
  • Measures of Dispersion
  • Interquartile Range (IQR)
  • Statistical Analysis Hands-on

Module 7: Machine Learning Fundamentals

  • Introduction to Machine Learning
  • Supervised Learning
  • Unsupervised Learning
  • Classification vs Regression
  • Model Training & Fine-Tuning

Module 8: Regression Models

  • Linear Regression
  • Linear Regression Metrics
  • Logistic Regression
  • Logistic Regression Metrics
  • Hands-on Regression Models

Module 9: Data Preprocessing

  • Data Preprocessing Techniques
  • Exploratory Data Analysis
  • Handling Missing Values
  • Detecting Outliers
  • Standardization & Normalization
  • Feature Scaling
  • Feature Selection

Module 10: Tree-Based Machine Learning

  • Decision Trees
  • Classification Trees
  • Regression Trees
  • Bagging
  • Random Forest
  • Boosting Techniques

Module 11: Neural Networks

  • Fundamentals of Neural Networks
  • Deep Learning Basics
  • Artificial Neurons
  • Neural Network Architecture
  • Introduction to AI Models

Module 12: SQL for Data Science

  • Database Fundamentals
  • SQL Basics
  • SQL Clauses
  • SQL Joins
  • Querying Data

Module 13: Advanced Excel for Analytics

  • Excel Functions
  • Conditional Formatting
  • Pivot Tables
  • Dashboards
  • Data Analysis in Excel

Module 14: Power BI

  • Introduction to Power BI
  • Power BI Desktop
  • ETL Pipeline
  • DAX Calculations
  • Reports & Dashboards
  • AI Features in Power BI

Module 15: Capstone Project

  • Data Collection & Cleaning
  • Data Analysis
  • Data Visualization
  • Machine Learning Model Development
  • Dashboard Creation
  • Final Data Science Project Presentation

Self Paced

Learn at your own pace

INR 7142
  • Recorded Sessions
  • Hands-on Projects
  • Certifications
  • Doubt Clear Sessions
  • Live Sessions
  • Mentor Guidence
  • Placement Support
  • 1:1 Mentoring

Mentor Led

Guided Learning with mentor support

INR 8570
  • Recorded Sessions
  • Hands-on Projects
  • Certifications
  • Doubt Clear Sessions
  • Live Sessions
  • Mentor Guidence
  • Placement Support
  • 1:1 Mentoring

Professional

Be placement ready

INR 14285
  • Recorded Sessions
  • Hands-on Projects
  • Certifications
  • Doubt Clear Sessions
  • Live Sessions
  • Mentor Guidence
  • Placement Support
  • 1:1 Mentoring

🏆 CAREER BOOSTER

Earn Industry-Recognized Certificates

Showcase your skills, strengthen your resume, and stand out to employers with industry-recognized certificates.

Tools and Technologies

Learn the industry’s most in-demand technologies

Curriculum

  • 17 Sections
  • 71 Lessons
  • 12 Weeks
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To enroll in a course, you need to create an account on our platform, browse our course catalog, and click on the "Enroll" button next to the course you want to join. Follow the on-screen instructions to complete the registration process.
Yes, most of our courses offer a certificate of completion, provided you meet all the course requirements, such as passing quizzes and submitting assignments.
Courses often include quizzes, assignments, and sometimes final exams to assess your understanding of the material. The specific assessment methods will be detailed in the course syllabus.
Courses can be paid for using a credit/debit card, PayPal, or other payment methods specified at checkout. Payment is required at the time of enrollment.