Python Automation and Data Science Bootcamp Zero to Hero

Name: Python Automation and Data Science Bootcamp Zero to Hero
Rating: 4.1 (44 reviews)

Master Python step-by-step and build powerful automation scripts, analyze data like a pro, and dive into data science wi

Created byJames Joab Soren, Hudson Dynamic Lab

Last updated 6/2026

English

English [Auto],

What you'll learn

Python programming fundamentals – variables, data types, functions, loops, and more
Automate boring tasks like file handling, emailing, Excel processing, and web scraping
Work with data using powerful libraries like Pandas, NumPy, and Matplotlib
Perform data cleaning, manipulation, and visualization
Build simple but powerful machine learning models using scikit-learn
Real-world automation and data science projects to build your portfolio
Best practices for writing clean, efficient, and reusable Python code

Course content

1 section • 13 lectures • 5h 2m total length

Introduction2:12
Explore Python basics, including syntax, variables, and data structures, then automate tasks with file handling, web scraping, and APIs, and apply numpy, pandas, machine learning, and data science techniques.
Introduction to Python & Setup12:07
Learn Python as a beginner-friendly, cross-platform language with extensive libraries for automation, web development, and data science, and master setup options using Anaconda with Jupyter notebooks or Python plus VSCode.
Python Syntax, Variables, and Data Types11:26
Explore Python syntax, comments, and variables, and learn how to check types with type, perform typecasting, and use f-strings for formatting.
Control Flow (if, for, while)32:52
Learn Python control flow with for and while loops, lists, and if-else logic, including practical examples like a fruit shop menu, input handling, and basic error checking.
Functions, Scope, and Modules17:31
Explore functions, scope, and modules in Python by creating reusable functions, understanding local and global variables, and importing modules like math for sqrt and pi.
Data Structures (Lists, Tuples, Sets, Dictionaries)22:28
Learn data structures in Python by using lists, tuples, sets, and dictionaries, with hands-on methods like append, pop, and insert, plus dictionary key-value lookups and basic user input.
Error Handling and Exceptions11:18
Learn to handle errors and exceptions using try blocks and except clauses, handling division by zero and value errors with custom messages, and using else and finally for reliable flows.
File Handling (Text, CSV, JSON, Excel)51:15
Master file handling in Python basics by reading and writing text, CSV, JSON, and Excel files, using open and safe handling practices.
Automating File & Folder Management26:59
Learn to automate file and folder management with Python using the OS, shutil, and pathlib libraries to create, rename, delete, copy, and move files and organize by extension.
Working with Dates and Time (datetime, time, schedule)36:40
Learn to manage dates and times in Python using date time, time, and schedule to log events, schedule tasks, and measure execution time.
Automating Emails (Smtplib, Imaplib, yagmail)34:48
Learn how to automate emails with python using smtplib, imaplib, and yagmail, including sending, reading, and attaching emails. Explore secure login with app passwords and scheduling emails for timed delivery.
Web Automation (Selenium, Playwright, Requests)43:15
Learn web automation with selenium, playwright, and requests by installing tools, understanding browser and http request automation, and performing get and post tasks for scraping and monitoring.
How to Take Help of AI for Python Automation and Data Science Bootcamp

Requirements

Basic python knowledge is better, if no than no problem

Description

Unlock the full potential of Python and accelerate your career in tech with this comprehensive, project-based bootcamp. Whether you're a complete beginner or looking to sharpen your skills, this course will guide you step-by-step through the fundamentals of Python, automation techniques, and the core concepts of data science.

By combining two powerful skill sets—automation and data science—you'll gain practical experience that prepares you for real-world tasks, job interviews, or career advancement. From automating everyday tasks to building your own data analysis and machine learning projects, you'll walk away with a well-rounded Python toolkit.

This course is designed to be accessible, beginner-friendly, and highly practical, so you can apply what you learn immediately.

What You’ll Learn

Python programming fundamentals: variables, data types, loops, functions, and more
Task automation: automate Excel reports, emails, PDFs, file systems, and web scraping
Data handling with Pandas and NumPy: loading, cleaning, and manipulating datasets
Data visualization using Matplotlib and Seaborn
Introduction to machine learning using Scikit-learn
Best practices for writing clean, efficient, and maintainable Python code
Real-world projects to build your portfolio and showcase your skills

Who This Course is For

Anyone who wants to learn Python in a practical, hands-on way

Why Take This Course

Python is one of the most versatile and in-demand programming languages today. By learning both automation and data science together, you’ll gain a powerful combination of skills that can be applied across industries and roles. This course focuses on real-world applications, not just theory, so you can start solving problems from day one.

By the end of the course, you'll be confident using Python to automate workflows, analyze data, and even build predictive models.

Start your journey from zero to hero in Python automation and data science. Enroll now and take the first step toward becoming a job-ready Python developer.

Who this course is for:

Anyone looking to automate their work using Python and learn data science