3 Trends in Data Science Education in India

Professionals and company executives alike must constantly innovate to keep up with the ever-changing data analytics environment. Educational opportunities in India are changing to accommodate the rising need for data scientists as the field gains popularity.

Table of Contents:

• Three major developments in the field of data science education in India
• The Most Useful Upskilling Programs:
• Top Must Have Skills for Data Science Students
• Conclusion

1. Three major developments in data science education in India

• Online Learning: Online learning offers online data science course in India through convenient and affordable bootcamps.
• Industry Collaborations: Educational institutions collaborate with industry leaders for curriculum development and practical experience.
• Specializations: Specialized courses in machine learning, deep learning, and natural language processing complement general data science programs.

2. The Most Useful Upskilling Programs

A. Professional Program in Data Science with Machine Learning Essentials from NIIT

Professional Program in Data Science with Machine Learning Essentials from NIIT is a 15-30 week online course that covers the fundamentals and applications of data analytics, machine learning.

Course content:

• Data Analytics Using Excel
• Analytics using SQL
• Introduction to Programming using Python
• Python for Data Science
• Exploratory Data Analysis
• Exploratory Data Analysis using Tableau
• Storytelling using Tableau
• Statistics using Python
• Predictive Modelling using Machine Learning
• Capstone project
• Online self-paced study
• Weekly live sessions
• Course materials, videos, quizzes, assignments
• Webinars
• Improve problem-solving, creativity, and critical thinking
• Certificate from NIIT and StackRoute

B. Data Science Fundamentals from Coursera

Coursera's Data Science Fundamentals specialisation offers fundamentals and their applications in numerous fields. It is for anybody interested in data science. An online specialisation includes self-paced videos, quizzes, and assignments.

Course Content:

• R Programming
• Data Manipulation and Cleaning
• Data Analysis and Visualization
• Statistical Inference and Hypothesis Testing
• Regression Models and Predictive Analytics
• Machine Learning and Classification
• Reproducible Research and Reporting
• Developing Data Products and Dashboards

Instructors and Experts:

• Peer Support and Feedback
• Certificate and Credential
• Course Completion and Grades

Conclusion

Through such big data analytics courses, India's educational institutions are equipping students with the skills to thrive in the data-driven economy and driving the country's technological advancement

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