Python Programming for Data Analytics: Learn Basics to Advanced

Last Update 12/01/2026
1 already enrolled

About This Course

Why Purchase “Python Programming for Data Analytics: Learn Basics to Advanced”?

  1. Master Essential Python Fundamentals
    Learn variables, loops, functions, datatypes, and file handling through clear, beginner-friendly explanations designed to build a strong programming foundation.
  2. Gain Practical Skills with Core Data Structures
    Understand and apply lists, tuples, sets, and dictionaries to solve real-world coding problems efficiently.
  3. Build Industry-Relevant Knowledge (OOP, NumPy & Pandas)
    Move beyond basics with hands-on experience in Object-Oriented Programming, numerical computing, and data analysis skills essential for internships and tech careers.
  4. Learn to Visualize and Interpret Data
    Use Matplotlib and Seaborn to create meaningful graphs and charts, helping you understand, analyze, and present data professionally.
  5. Develop Confidence Through Real Coding Practice
    Strengthen logical thinking, debugging skills, and problem-solving abilities with practical exercises and real examples.

Outcome
By the end of this course, learners will confidently write Python programs, analyze data, visualize results, apply OOP concepts, and be fully prepared for projects, internships, and entry-level tech roles.

Learning Objectives

Learn complete Python fundamentals, including variables, loops, functions, and file handling.
Understand and apply Python data structures such as lists, tuples, sets, and dictionaries.
Build strong programming skills with Object-Oriented Programming (OOPS).
Perform data analysis using industry-standard libraries like NumPy and Pandas.
Create professional charts and graphs using Matplotlib and Seaborn for data visualization.
Develop real-world problem-solving and debugging skills to write clean, efficient code.

Material Includes

  • Topic-wise programming quizzes.
  • Certificate of Completion.

Requirements

  • No prior programming experience is needed.
  • A laptop or desktop computer with at least 8GB RAM is recommended (4GB RAM can work using Google Colab as a backup).
  • Willingness to learn and practice coding concepts step by step.

Target Audience

  • Students who want to start their programming journey with Python.
  • Beginners looking to build strong coding and problem-solving skills.
  • Working professionals wanting to switch to IT, software development, or data roles.
  • Anyone interested in data analysis, automation, or learning a future-ready skill.

Curriculum

18 Lessons6h 35m

Introduction

Introduction to Python4:57Preview

Python Basics

Data Structures in Python

Logic Building in Python

File Management & OOPS

Scientific Computing

Data Visualization

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Your Instructors

Dr. Satyajit Pattnaik

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3 Students

Dr. Satyajit Pattnaik is a distinguished Data and AI professional based in Hong Kong, widely recognized for his ability to transform complex data into meaningful, actionable insights. With a thriving community of over 35,000 LinkedIn followers and 105,000+ YouTube subscribers, he leverages his deep expertise in generative AI, machine learning, deep learning, and analytics to mentor the next generation of data analysts, data scientists, and AI engineers.

A graduate of the Swiss School of Business and Management, Dr. Pattnaik has led cutting-edge research in voice-based patient classification, delivering outstanding accuracy and advancing the field of AI-driven healthcare solutions.

Over the course of his career, he has trained more than 200,000+ professionals, both through live sessions and his educational YouTube content, where he shares practical knowledge, industry insights, and advanced tutorials. A strong advocate for the power of generative AI, he has conducted numerous workshops designed to equip learners with the skills needed to thrive in the evolving tech landscape. Driven by a passion for education and community building, Dr. Pattnaik remains a trusted guide and inspiration for anyone aiming to elevate their expertise in data analytics and artificial intelligence.

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Python Programming For Data Analytics

549.00999.00

45% off
Level
All Levels
Duration 6.6 hours
Lectures
18 lectures
Language
English

Material Includes

  • Topic-wise programming quizzes.
  • Certificate of Completion.

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