Mastering Python for Data Science

Master the fundamentals of Python programming and data science with our comprehensive 3-month program, certified by Acacia University Professional Development. This hands-on program equips you with essential skills in Python programming, data manipulation, visualization, and machine learning through 40 hours of live instructor-led training and real-world projects.

3 Months

5 Modules

3 Assignments

Blended Learning

3 Projects

Beginner

Globally Recognized & Accredited:

15000

Students Trained Globally

25

Industry-Aligned Programs

70

Countries with Active Alumni

87

Career Transition Success

Tools & Technologies That Power Success

Master the complete data science ecosystem with hands-on experience using industry-leading tools and frameworks. Our Advanced Program in Data Science equips you with practical skills in Python programming, data manipulation, visualization, and machine learning – preparing you for real-world data challenges.

Python

MySQL

learn anaconda

Anaconda

Jupyter Hub

Pandas

NumPy

Seaborn

Matplotlib

Excel

GIT

HTML

CSS

Tools & Technologies That Power Success

Master the complete data science ecosystem with hands-on experience using industry-leading tools and frameworks. Our Mastering Python for Data Science program equips you with practical skills in Python programming, data manipulation, visualization, and machine learning – preparing you for real-world data challenges.

Python

MySQL

learn anaconda

Anaconda

Jupyter Hub

Pandas

NumPy

Seaborn

Matplotlib

Excel

GIT

HTML

CSS

Acacia University Professional Development

Acacia University Professional Development has initiated various programs in partnership with Airtics Education. The wide range of programs aims to upskill millions of students in trending technologies through a blend of theoretical and hands-on knowledge and are taught by leading academicians.
Airtics Education’s Advanced Programs are offered as part of Acacia University Professional Development Programs, and the learners are certified by the University.

Course Modules

Foundation for Data Science

Begin your journey in data science with a solid programming foundation. This module introduces the Python programming language, focusing on its core structure, syntax, and logical flow. Understand how to write effective and clean code using Python’s powerful features.

Core Python Concepts and OOP Principles

Master basic and advanced Python features including control structures, loops, functions, and modules. Dive into object-oriented programming (OOP) and explore key principles like encapsulation, inheritance, polymorphism, and abstraction—essential for modular and scalable coding.

Real-World Programming Readiness

Develop the programming confidence needed for data science and machine learning roles. Learn how to structure scripts, manipulate data, and begin building the foundation for data-driven projects using Python’s built-in capabilities and external libraries.

Learning Outcomes
Module Duration: 4–6 weeks

By completing this module, you will:

  • Understand the structure of Python and learn how to write functional programs
  • Grasp core concepts including syntax, variables, control flow, and I/O operations
  • Use functions, modules, and object-oriented concepts for robust code organization
  • Gain confidence to transition into advanced domains such as Machine Learning and Data Science
  • Learn how to utilize Python packages for data manipulation and script development

Mastering Core Data Structures in Python

Explore how data structures are implemented in Python to organize, manage, and store data efficiently. Learn how to choose the right structure for specific problems to optimize performance and scalability.

Algorithmic Thinking & Efficiency

Understand time complexity to evaluate algorithm performance. Practice recursion, sorting, and searching techniques to solve real-world problems efficiently. Build confidence in analyzing the logic behind operations.

Hands-on Techniques for Programming Success

Engage with concepts like stacks and two pointers to solve computational challenges. Strengthen your foundation in computer science by applying these concepts to build robust, optimized code.

Learning Outcomes
Module Duration: 3–4 weeks

By completing this module, you will:

  • Develop structured programming strategies using Python and foundational software engineering concepts

  • Use mathematical and analytical methods to evaluate algorithm efficiency
  • Gain hands-on experience with searching and sorting techniques
  • Learn key data structure concepts such as stacks, time complexity, recursion, and two-pointer methods
  • Strengthen logical thinking and programming fluency through real-world coding problems
Essential Python Tools for Data Workflows

Dive into the core Python libraries that power modern data science. Build hands-on experience using NumPy for mathematical operations, Pandas for data manipulation, and Matplotlib for powerful visualizations.

Data Manipulation and Analysis

Learn how to manage complex datasets with Pandas—cleaning, transforming, and organizing data efficiently. Understand how NumPy simplifies numerical computing and makes large-scale array operations seamless.

Data Visualization for Insights

Translate raw data into meaningful visuals with Matplotlib. Develop a critical eye for data storytelling and create compelling charts, graphs, and plots that help reveal trends and patterns in business contexts.

Learning Outcomes
Module Duration: 3–4 weeks

By completing this module, you will:

  • Gain practical experience in data analysis, handling, and visualization using Python
  • Perform mathematical computations efficiently using NumPy arrays and functions
  • Sort, filter, and manipulate structured data using Pandas DataFrames
  • Create and customize plots and visual representations with Matplotlib for analysis

Your Success Story Starts Here

Every image here tells a story of transformation, dedication, and success. Be the next to wear the cap and gown. Enroll today, and let your journey begin.

What Our Students Say

Every student has a story—of ambition, of challenge, of growth. In their own words, they share how Airtics became a turning point in their learning journey and helped them move closer to their goals.

What Our Students Say

Every student has a story—of ambition, of challenge, of growth. In their own words, they share how Airtics became a turning point in their learning journey and helped them move closer to their goals.

Real-World Capstone Projects

Apply your data science skills to solve real business challenges through hands-on projects. Choose from our curated capstone projects or bring your own organizational problem to create a portfolio that showcases your expertise to future employers.

 

House Rental Predication

Build a machine learning model to predict house rental prices using market data, property features, and location analysis.
 

Image Classification

Develop a computer vision system using deep learning to automatically classify and categorize images.
 

Business Insights Reporting

Create interactive business dashboards that transform raw data into actionable insights and visual reports.

Learn from Industry Leaders & Experts

Learn from the best in the field. Our faculty combines academic brilliance with industry expertise, featuring PhD holders, senior data scientists, and AI researchers from top organizations.

Ms. PIYALI MONDAL - B&W
Ms. Piyali Mondal Head of Department
Ms. Priti Mondal - B&W
Ms. Priti Mondal Associate Faculty
Dr. Abdullah El Nokiti - B&W
Dr. Abdullah El-Nokiti Professor
Dr. Meraj Inamdar - B&W
Dr. Mohd Merajuddin Inamdar Professor
Dr. Madhavi Vaidya - B&W
Dr. Madhavi Vaidya Professor
Dr. Poonam Chaudhari - B&W
Dr. Poonam Chaudhari Professor
Dr. Anup Maurya - B&W
Dr. Anup Kumar Maurya Professor
Dr. Milan Joshi - B&W
Dr. Milan Amrutkumar Joshi Industry Expert
Dr. Mohamed Elhaw - B&W
Dr. Mohamed Elhaw Industry Expert
Dr. Pradeep Tiwari - B&W
Dr. Pradeep Tiwari Industry Expert
Global Student Community

Students from 60+ Countries Worldwide

Frequently Asked Questions

Find answers to common questions about our Mastering Python for Data Science program. Learn about program details, requirements, and what to expect from this 3-month certification course.
Why should I join the Data Science program?

Data science isn’t just the way of the future, it’s the way of right now! It is being adopted in all sorts of industries, from health care to route planning, marketing & sales to banking industries and beyond. Even industries such as retail that you might not associate with big data are getting on board. Data science is the fuel of the 21st Century.

What if I fail to attend the classes?

We provide you with live recorded classes of the same session to follow up if you end up missing the same.

Is Python easy to learn?

The Python programming language stands out as an exception in the world of programming. In contrast to more complex languages such as C, C++, and Java, Python features an extraordinarily straightforward syntax and programming vocabulary, making it remarkably accessible for beginners.

How is Python useful for learning Data Science?

Python remains the leading language for data science, taught to 88% of students entering the field. Its blend of power, flexibility, and ease of use keeps it ahead of other languages, with nearly 50% developer adoption.

Who can join the program?

Aspirants and professionals who are having basic computer programming skills can enroll in the program.

Do I need prior experience in coding to learn the program?

This course provides basic to advance programming knowledge. So having basic knowledge is an added benefit but not necessary.

Can I get a job after learning Python for Data Science?
Yes, learning Python can significantly boost your job prospects in data science. Employers highly value Python proficiency for its versatility and the comprehensive libraries it offers for data analysis and machine learning. You can also use your abilities in python beyond data science to get work in other areas of computer science as well. Given Python’s three-decade relevance and its evolving nature to meet the demands of emerging professions, it represents a secure investment for a future-proof career path.

Still have questions?

If you have any other questions or need further information about our mastering Python for Data Science, don’t hesitate to contact us. Our admissions team is here to help you take the next step in your data science career.

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