Post Graduate Program in Data Science Syllabus - upGrad, Mumbai

  • Years 0 Years
  • Type Course Post Graduate
  • stream Computer Science and IT
  • Delivery Mode
Written By universitykart team | Last updated date Jul, 07, 2024

The Post Graduate Programmme in Data Science syllabus at upGrad, Mumbai is designed to provide overall knowledge to the students with a strong foundation. Post Graduate Programmme in Data Science faculty at upGrad specially focus on in-depth learning to relevant subjects. At first semester syllabus of Post Graduate Programmme in Data Science at upGrad, students learn the basics of programme. A strong foundation is very important for comprehensive learning. Post Graduate Programmme in Data Science syllabus at upGrad, Mumbai maintains a balance between theoretical knowledge and practical knowledge.

Post Graduate Programmme in Data Science first year students at upGrad are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. upGrad, Mumbai also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Post Graduate Programmme in Data Science syllabus at upGrad, Mumbai is also frequently updated to give industry relevant training and knowledge to students. upGrad strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at upGrad enable Post Graduate Programmme in Data Science students to apply knowledge and skills in a controlled environment and get required experience.

According to syllabus of Post Graduate Programmme in Data Science progress, students learn advanced topics and complex concepts. The Post Graduate Programmme in Data Science curriculum at upGrad, Mumbai mainly focuses on analytical and critical thinking. As the Post Graduate Programmme in Data Science course unfolds, students develop several important skills that increases their employability. As per syllabus of Post Graduate Programmme in Data Science at upGrad also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.

Post Graduate Programmme in Data Science curriculum at upGrad includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Post Graduate Programmme in Data Science syllabus at upGrad aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.

Additional curriculum at upGrad

  1. Workshops and Seminars - Regular sessions with industry experts help Post Graduate Programmme in Data Science students at upGrad to stay updated with current trends.
  2. Group Projects - Collaborative projects according to upGrad syllabus develop teamwork and problem-solving skills.
  3. Case Studies - Post Graduate Programmme in Data Science syllabus offers analysis of real-world scenarios to apply theoretical knowledge.
  4. Extracurricular Activities - upGrad offers several activities like sports, clubs, societies, etc. to encourage overall development.

Note: Given below syllabus is based on the available web sources. Please verify with the upGrad, Mumbai for latest Post Graduate Programmme in Data Science curriculum.

Syllabus: PGP in Data Science 

A Post Graduate Program in Data Science typically covers a comprehensive syllabus that includes core topics such as statistics, machine learning, data visualization, and data management. The curriculum also delves into advanced subjects like deep learning, natural language processing, and big data technologies. Additionally, students learn to apply these concepts to real-world problems through hands-on projects and case studies. Ethical considerations, data ethics, and domain-specific applications are often integrated into the syllabus. Soft skills like communication, teamwork, and problem-solving are emphasized. Overall, the program equips students with the knowledge and skills needed to excel in the dynamic and data-driven field of data science.

S.NoSubjects
1Data Visualization for Data Scientists
2Introduction to Statistics & Probability
3Topics in Data Science
4Applied Statistics & Experimental Design
5Software Design for Data Science
6Statistical Machine Learning for Data Science                                 
7Data Management for Data Science
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