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

Hello, I’m Dr. Aarti, a passionate educator and data enthusiast with over 10 years of experience teaching Python and guiding learners to master programming and data analytics. Throughout my career, I’ve worked extensively with Python, building a strong foundation in data analysis, visualization, and automation. My teaching approach focuses on making complex concepts simple and practical, ensuring that every learner can confidently apply Python skills to solve real-world problems. I created DataMind: Python for Analytics to bridge the gap between coding and meaningful insights — helping students and professionals alike harness the true power of data through hands-on learning and interactive projects. I believe learning Python is not just about syntax; it’s about developing a data-driven mindset that enables smarter decisions, creative problem-solving, and professional growth. When I’m not teaching, I enjoy exploring new technologies, analyzing real-world datasets, and inspiring others to see the beauty of data through Python.