Post Graduate Program in Data Science (Live Online)

Categories: Data Science
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About Course

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Download Curriculum Click here

Sample Certificate Click here


Batch Dates


Batch Dates (January, 2024 to December, 2024)
January 6-Jan-2024 13-Jan-2024 20-Jan-2024 27-Jan-2024
February 4-Feb-2024 11-Feb-2024 18-Feb-2024 25-Feb-2024
March 3-Mar-2024 10-Mar-2024 17-Mar-2024 24-Mar-2024
April 7-Apr-2024 14-Apr-2024 21-Apr-2024 28-Apr-2024
May 5-May-2024 12-May-2024 19-May-2024 26-May-2024
June 2-Jun-2024 9-Jun-2024 16-Jun-2024 23-Jun-2024
July 7-Jul-2024 14-Jul-2024 21-Jul-2024 28-Jul-2024
August 4-Aug-2024 11-Aug-2024 18-Aug-2024 25-Aug-2024
September 8-Sep-2024 15-Sep-2024 22-Sep-2024 29-Sep-2024
October 6-Oct-2024 13-Oct-2024 20-Oct-2024 27-Oct-2024
November 3-Nov-2024 10-Nov-2024 17-Nov-2024 24-Nov-2024
December 8-Dec-2024 15-Dec-2024 22-Dec-2024 29-Dec-2024


Embark on a transformative journey into the realm of data science with KAE Education’s highly esteemed Post Graduate Program. This comprehensive and dynamic course is meticulously designed to empower students with a profound understanding of data science, equipping them with the skills and knowledge needed to navigate the intricate landscape of this rapidly evolving field. The curriculum, thoughtfully crafted by seasoned industry experts, encompasses foundational concepts, advanced methodologies, and practical applications, ensuring that graduates not only grasp theoretical principles but also gain hands-on experience to thrive in real-world scenarios.



Key Deliverables:


  1. Industry-Relevant Curriculum:

    Our program features a meticulously crafted curriculum that reflects the latest industry trends and demands. Developed by seasoned experts, it encompasses foundational concepts, advanced methodologies, and cutting-edge applications, ensuring that participants are well-equipped for the challenges of the modern data landscape.

  2. Global Impact:

    With a diverse and global community of learners, the program transcends geographical boundaries. Join a cohort of ambitious individuals from around the world, fostering a collaborative environment that mirrors the interconnected nature of data science.

  3. Expert Instructors:

    Learn from industry practitioners and experts who bring real-world experience into the virtual classroom. Benefit from their insights, practical wisdom, and guidance as they navigate you through the intricate world of data science.

  4. Hands-On Learning:

    Dive into a world of hands-on learning with practical labs, coding exercises, and projects that mirror real-world scenarios. Develop proficiency in data manipulation, machine learning, and big data technologies through experiential learning.

  5. Innovative Teaching Methods:

    Experience innovative teaching methods that combine pre-recorded lectures, live interactive sessions, and practical labs. This dynamic approach ensures that learning is not just theoretical but also applicable in real-world contexts.

  6. Career Support Services:

    Beyond education, we are committed to your career success. Avail yourself of comprehensive career support services, including resume building, interview preparation, and networking opportunities. Our goal is not just to educate but to empower your journey into a fulfilling data science career.

  7. Exceptional Alumni Success:

    Join a network of exceptional alumni who have successfully transitioned into thriving careers in data science. Our graduates are making significant contributions across diverse industries, a testament to the effectiveness of our program.

  8. Lifetime Learning Access:

    Enroll with confidence, knowing that you have lifetime access to course materials and updates. Stay current with the latest advancements in data science, reinforcing your knowledge throughout your professional journey.

  9. Capstone Projects for Real-World Impact:

    Undertake capstone projects designed to solve real-world challenges. Apply your skills to make tangible contributions and build a portfolio that showcases your ability to tackle complex data science problems.

  10. Ethical Data Practices:

    Embrace a holistic approach to data science that emphasizes ethical considerations. Learn to practice responsible and unbiased data science, reflecting the values essential for building a sustainable and equitable future.

Embark on this transformative learning journey, where data becomes your canvas and insights become your masterpiece. The Post Graduate Program in Data Science at KAE Education is not just about learning data science; it’s about becoming a catalyst for innovation and a driving force in shaping the future of technology.

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What Will You Learn?

  • Master Core Data Science Concepts: Gain a solid foundation in data science, from fundamental principles to advanced methodologies, ensuring a comprehensive understanding of the field.
  • Proficiency in Programming: Develop strong programming skills in Python and R, equipping you with the ability to manipulate and analyze data efficiently.
  • Expertise in Machine Learning: Acquire hands-on experience with both fundamental and advanced machine learning techniques, empowering you to build and evaluate models for various applications.
  • Big Data Competence: Explore big data technologies, including Hadoop and Spark, enabling you to process and analyze large datasets efficiently in a distributed computing environment.
  • Data Engineering Mastery: Understand the intricacies of database management systems, data warehousing, and feature engineering, crucial for efficient data storage, retrieval, and model optimization.
  • Specialization in Advanced Topics: Delve into cutting-edge topics such as reinforcement learning, transfer learning, and ethics in data science, expanding your expertise into emerging domains.
  • Practical Application through Projects: Apply theoretical knowledge to real-world scenarios through hands-on projects, including case studies and a capstone project, enhancing your practical problem-solving skills.
  • Holistic Career Readiness: Receive comprehensive career support services, including resume building, interview preparation, and networking opportunities, positioning you for success in the competitive field of data science.
  • Diverse Career Pathways: Explore a multitude of career opportunities, from roles such as Data Scientist and Machine Learning Engineer to Data Analyst, Business Intelligence Analyst, and more.
  • Ethical Data Practices: Develop a strong understanding of ethical considerations in data science, emphasizing responsible and unbiased data practices in your future endeavors.
  • Join a Growing Community: Become part of a dynamic community of data science professionals, gaining access to a network of peers, industry experts, and potential collaborators.

Course Content

Module 01: Introduction to Data Science

  • Understanding the basics of data science
  • Overview of data science lifecycle
  • Introduction to Python programming for data science
  • Introduction to data visualization with Matplotlib and Seaborn
  • Hands-on exercises and assignments

Module 02: Data Manipulation and Cleaning

Module 03: Machine Learning Fundamentals

Module 04: Advanced Machine Learning Techniques

Module 05: Big Data and Spark

Module 06: Deep Learning and Neural Networks

Module 07: Natural Language Processing (NLP)

Module 08: Capstone Project

Module 09: Industry Applications and Trends

Module 10: Professional Development and Soft Skills