skilldevelopment.cpe@lpu.co.in

What you'll learn

DataMind: Python for Analytics is a hands-on, project-driven course designed to help you unlock the power of data through Python. Whether you’re a beginner or transitioning into the world of data analytics, this course will guide you step-by-step through Python fundamentals, data manipulation, visualization, and real-world analytical techniques. You’ll learn how to collect, clean, and analyze data to uncover meaningful insights — the same skills used by data analysts, business strategists, and data scientists across top industries. By the end of the course, you’ll not only understand how data works but also how to tell compelling stories with it using Python.

  • Introduction to Python & Data Analytics Setting up Python and Jupyter Notebook Python Basics: Variables, Data Types, Operators Conditional Statements and Loops Functions and Lambda Expressions Sunday Hands-on: Project 1 — Python Fundamentals Practice ?? Outcome: Build strong command over Python syntax, logic, and reusable code blocks.
  • Data Structures: Lists, Tuples, Sets, and Dictionaries String Operations and File Handling Introduction to Classes and Objects OOP Concepts: Inheritance, Encapsulation, Polymorphism Introduction to Data Analytics Workflow Sunday Hands-on: Project 2 — OOP & File Operations ?? Outcome: Gain confidence in building modular and structured Python programs.
  • NumPy Fundamentals: Arrays and Vectorized Operations Advanced NumPy Operations Pandas Series and DataFrames Data Cleaning, Preparation, and Transformation Merging, Grouping, and Aggregating Data Sunday Hands-on: Project 3 — Data Wrangling with Pandas ?? Outcome: Learn to efficiently manage, clean, and process real-world datasets.
  • Exploratory Data Analysis (EDA) Concepts Visualization using Matplotlib Advanced Visualization with Seaborn Statistical Insights: Descriptive Statistics, Correlation, Regression Data Storytelling and Insights Presentation Sunday Hands-on: Project 4 — EDA & Visualization ?? Outcome: Build visually appealing and meaningful data insights using Python.
  • Working with Real-world Datasets Automation with Python Scripts Business Analytics Case Study Revision and Q&A Session Final Project Presentation Sunday Session: Course Wrap-up, Feedback & Certification ?? Outcome: Apply all learned skills to complete an end-to-end data analytics project using Python.

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Dr. Aarti
Professor

Dr. Aarti is an educator with over 10 years of experience teaching Data Structures and Algorithms. She specializes in helping learners understand complex concepts in a simple, clear, and practical way. She has strong expertise in core DSA topics, including arrays, linked lists, stacks, queues, trees, graphs, and algorithm design. Her teaching emphasizes hands-on practice and problem-solving so that students can confidently apply their knowledge to real-world and technical challenges. She believes that learning Data Structures and Algorithms is not just about writing code, but about developing strong logical thinking, problem-solving abilities, and an analytical mindset essential for real-life applications and career growth.