Post Graduate Program in Data Science (Live Online)
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:
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
Course Content
Module 01: Introduction to Data Science
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Understanding the basics of data science
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Overview of data science lifecycle
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Introduction to Python programming for data science
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Introduction to data visualization with Matplotlib and Seaborn
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Hands-on exercises and assignments