Python Automation and Data Science Bootcamp Zero to Hero
Published 9/2025
Duration: 5h 3m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.70 GB
Genre: eLearning | Language: English
Published 9/2025
Duration: 5h 3m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 1.70 GB
Genre: eLearning | Language: English
Master Python step-by-step and build powerful automation scripts, analyze data like a pro, and dive into data science wi
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
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—automationanddata 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 onreal-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
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