Learn Python for Data Analysis | Data Science from Scratch
From Complete Beginner to Practical Data Scientist in no time.
Learn how to use Python to work with real-world data, create meaningful visualizations, and build a strong foundation in data science. Whether you’re a student, graduate, professional, or complete beginner, our Python Data Science Course is designed to take you from the basics to practical projects.
You don’t need prior programming experience because our instructors guide you step by step, making Data Science from Scratch accessible and practical.
What You’ll Learn
Our curriculum focuses on the Python skills and tools used in modern data science and data analysis:
- Python programming fundamentals and problem-solving
- Python for Data science using real-world datasets
- NumPy and Pandas for data manipulation
- Data cleaning and preparation
- Data visualization with Python
- Exploratory data analysis and finding insights
- Working with CSV, MS Excel, and other datasets
- Introduction to statistics for data science
- Practical data science projects
- Using AI tools to improve Python coding and data analysis workflows
Choose your learning Path
20-hour Python Data Science Intensive | Duration: 1 Month
Python for beginners, students, and professionals who want to quickly develop practical Python and data manipulation skills. You’ll learn Python fundamentals, work with datasets, perform basic analysis, and create visualizations through hands-on exercises.
60-hour Professional Data Science Track | Duration: 3 Months
Designed for learners who want to build a strong foundation in Python and progress to advanced data manipulation, visualization, statistics, and real-world data science projects.
Why learn Python at Alpha Training Center?
- Live, instructor-led classes
- Hands-on projects instead of theory alone
- Beginner-friendly Data Science from Scratch approach
- Practical Python and data analysis skills along with face-to-face learning
- AI-assisted coding and debugging
- Instructor support throughout the course
- Certificate upon successful completion of the professional track
Who is this course for?
This course is ideal for students, fresh graduates, working professionals, career changers, and anyone who wants to learn Python for data science or Python for data analysis
If you need additional guidance while learning, our instructors can also support you as your Python tutor, helping you understand programming concepts, solve problems, and build confidence through practical exercises.
Start Learning Python for Data Science
Don’t spend months jumping between disconnected tutorials. Follow a structured learning path, practice with real data, and build practical Python skills that you can use for data analysis and your future data science career.
Frequently Asked Questions
Yes. The course starts with Python programming fundamentals, so you can join even if you have no previous programming experience. The curriculum is designed to take you through Data Science from Scratch with instructor guidance and practical exercises.
Python for Data Analysis focuses on working with, cleaning, transforming, visualizing, and understanding data. Python for Data Science builds on these skills and introduces broader concepts used to extract insights and solve real-world problems with data.
The 20-hour intensive course covers Python fundamentals, working with datasets, basic data analysis, data cleaning, and visualization. It is designed to give beginners practical skills in a short period.
The 60-hour track provides a deeper learning experience, covering Python programming, NumPy, Pandas, data cleaning, visualization, exploratory data analysis, statistics, and practical data science projects.
No. Both learning paths are designed to accommodate beginners. We start with the Python fundamentals you need before progressing into data analysis and data science.
Yes. The course includes hands-on exercises and projects using real-world datasets. You’ll practice importing, cleaning, analyzing, and visualizing data rather than learning only through theory.
The 20-hour intensive course gives you a practical introduction to Python for Data Analysis in one month. However, becoming highly proficient requires continued practice and working on additional projects after completing the course.
Yes. Students who complete the requirements of the 60-hour Professional Data Science Track receive a course certificate.
Yes. If you have a real-world data analysis problem, a dataset, an Excel file, or a business data challenge, you can discuss it with your trainer during the course. Where appropriate, your instructor can guide you through the Python, data analysis, and data science techniques needed to understand and solve the problem. This makes the course more practical and helps you apply what you learn to your own real-world data.
Yes. Python can be used to solve a wide range of data analysis problems, including cleaning large datasets, combining data from different sources, analyzing Excel or CSV files, identifying trends, creating visualizations, and generating useful insights. If you are currently looking for a Python data analysis solution or want to learn how to solve data-related problems yourself, this course will give you the practical skills to work with real-world datasets.
Absolutely. Our Python for Data Science and Data Analysis training focuses on practical applications rather than theory alone. You’ll learn how to approach real-world business data problems, prepare and analyze datasets, visualize results, and extract actionable insights. Instead of depending on a data analyst or consultant for every problem, you can develop the skills to analyze your own data and make informed decisions.