Master Data Science: Build Predictive Models, Become Job-Ready

Course Overview

• Duration: 4–6 months
• Mode: Offline, Classroom + Lab Sessions
• Who It Is For: Students, beginners, professionals, entrepreneurs.

What You Will Learn

A complete, structured path from Python basics to master in data science:

• Foundations of Data Science
  Start from scratch and understand:
  • What data science is
  • How businesses use data
  • The lifecycle of data: collection → cleaning → analysis
  • Real examples from sectors like retail, agriculture & local businesses.
• Python for Data Science
  Learn the most in-demand programming language:
  • Python basics (variables, loops, conditions)
  • Data manipulation with Pandas & NumPy
  • File handling (CSV, Excel, JSON)
  • Automating tasks
  • Working in Jupyter Notebook
• Statistics & Mathematics
  Master the logic behind data:
  • Probability, averages, variance
  • Correlation & causation
  • Hypothesis testing
  • Linear algebra basics
• Data Visualization
  Turn raw data into clear stories:
  • Data visualization principles
  • Matplotlib, Seaborn & Plotly
  • Creating dashboards, heatmaps, charts
  • Presenting insights effectively
• SQL & Databases
  Learn how real companies store and query data:
  • Writing SQL queries (SELECT, JOIN, GROUP BY)
  • Filtering and managing large datasets
  • MySQL/PostgreSQL hands-on practice
• Machine Learning
  The core of the course:
  • Supervised & Unsupervised learning
  • Algorithms like Linear Regression, Random Forest, K-Means
  • Train–test–validate models
• Deep Learning (Overview)
  Get introduced to AI:
  • Neural networks
  • Image & text recognition basics
  • Intro to TensorFlow/Keras
• Data Engineering Basics
  Learn how data pipelines work:
  • ETL (Extract–Transform–Load) concepts
  • Handling large datasets
  • Cloud basics (AWS/Azure overview)
  • File formats: CSV, JSON, Parquet
• AI Implementation
  Apply your skills practically:
  • Small AI-based applications
  • Automating workflows with Python
  • Understanding model deployment basics
• Capstone Project
  Create a portfolio-worthy real-world project. Examples:
  • Predicting housing prices in Ranchi
  • Sales forecasting for local shops
  • Customer segmentation using ML
  • Building a complete analytics dashboard
• Your Learning Journey
  A structured step-by-step path:
  1. Python Basics
  2. Data Cleaning
  3. Statistics
  4. SQL
  5. Machine Learning
  6. Visualizations
  7. Real Projects
  8. Interview Training
  9. Job Ready

Skills You Will Gain

• Python Programming: Write clean, efficient code for analytics and automation.
• Pandas & NumPy: Work with, clean, and process large datasets effortlessly.
• Data Cleaning: Transform raw data into structured, usable information.
• Data Visualization: Create clear charts and dashboards to communicate insights.
• SQL Querying: Retrieve, filter, and manage data from databases using SQL.
• Machine Learning Algorithms: Build predictive models using real industry datasets.
• Predictive Analytics: Use data to forecast trends and support business decisions.
• Problem-Solving Skills: Tackle real-world challenges with analytical thinking.

Certificates and Benefits

• Verified Certificate
  Industry-recognized certification from Diamond InfoTech Ranchi.
• Hands-On Practical Learning
  Work directly in labs with real datasets and coding exercises.
• Real-World Projects
  Build practical projects based on actual business use-cases.
• Portfolio Development
  Create a strong GitHub/portfolio to showcase your skills.
• Resume & Interview Training
  Mock interviews plus resume and LinkedIn optimization.
• Placement Assistance
  Support for job applications, internships, and interview connections.
• Beginner-Friendly Approach
  Designed for students and non-IT learners starting from scratch.
• Offline Classroom Support
  Personalized trainer guidance and doubt-clearing in Ranchi.

Career and Personal Benefits

• Data Analyst
  Analyze company data and prepare insights for decision-making.
• Data Scientist (Entry Level)
  Build and evaluate ML models for business tasks.
• Machine Learning Engineer (Junior)
  Develop and test automation-driven ML solutions.
• Business Analyst
  Translate data insights into strategic business actions.
• Junior Data Engineer
  Assist in building and maintaining data pipelines.
• Freelancer / Intern
  Take up real client projects or internships to gain experience.
• Demanding Everywhere
  Suitable for companies in Ranchi and across India.

Fee & Enrollment

• Fees: ₹28,000 (includes datasets, projects, and certificate)
• Payment Flexibility: Full payment or easy monthly installments
• How to Enroll: Visit our centre for demo classes, counselling, and batch selection.