Data Science
This track course has been designed to prepare engineering graduates who can
- Develop real-time data analysis skills set, which can be applied to practical problems.
- Excel in fundamental knowledge of concepts underlying data science projects
- To develop practical skills needed in modern analytics
- Explain how to build mathematical models and information sciences to build better algorithms and software
- Have hands-on experience with real-world data analysis to solve societal problems
- Develop applied experience with data science software, programming, applications, and Processes
- Learn to analyze big data using intelligent techniques
- Understand the various search methods and visualization and mining data stream techniques.
- Expertise in the applications using Map Reduce Concepts and advanced data computing tools
- Provide engineering services to e-Commerce domains
- Collaborate with leading Data science frontrunners and other domain experts for the design and implementation of new business and implementation techniques
Overview:
- Data science is a multidisciplinary field that uses mathematics, statistics, and computer science to extract knowledge and insights from structured and unstructured data
- As business technology has advanced exponentially in recent years, data-driven decision-making has become a much more fundamental part of all sorts of industries, including important fields like medicine, transportation, and equipment manufacturing
- Companies like Google, Amazon, Netflix, Facebook, Flipkart, Ola, and Swiggy, which use Data Science, have witnessed huge growth and profits
- Companies like Google, Facebook, Intel, Microsoft, Twitter, Ford, Intel, and Apple have successfully integrated Data Science into their products and are seeing a growth of about 30% improvement in areas like revenue, growth rate, and efficiency
Opportunities:
- Bangalore, Pune, Delhi, Mumbai, Chennai, and Hyderabad have the highest number of Data Science job openings
- The number of startups and investments by Venture Capitalists in the Data Science space is growing exponentially
- The Data Science field is growing rapidly, promising higher salaries and better opportunities in the future
The salary package differs for every job profile.
Job Roles | Average Salary(INR) | Average Salary(USA) |
---|---|---|
Data Scientist | 7-25 LPA | $90,000- $170,000 PA |
MachineLearning Engineer | 8-25 LPA | $100,000-$ 180,000 PA. |
Big Data Engineer | 8-20 LPA | $110,000 - $190,000 PA |
Business Analyst | 5-15 LPA | $65,000 - $125,000 PA |
Data Analyst | 4-10 LPA | $60,000- $120,000 PA |
How are Data Scientists different from Business Analysts or Data Analysts?
Criteria | Data Analyst | Business Analyst | Data Scientist |
---|---|---|---|
Skillset | Analyzing business needs | Analyzing historical data | Making data-driven decisions |
What do they do? | Full life cycle analysis, including business needs, activities, and designing | Implementing technology solutions and analyzing and reporting business capabilities | Statistical analysis and the development of Machine Learning systems |
Average salaries | US$68,465 | US$75,218 | US$112,957 |
Course Curriculum:
- Data Science sits at the heart of mathematics, statistics, and computer science
- These foundational courses are taught in the first and second academic years
- The Data Science program consists of a total of eight courses taught in the third and fourth years, along with one main project
- Foundational courses like "Machine Learning Algorithms" and "Introduction to Data Science" are taught in the fifth semester
- The sixth-semester course covers data processing and analysis techniques in courses "Data Visualization" and "Statistics" along with an introductory course in Artificial Intelligence in the "Fundamentals of AI" course
- The seventh semester covers advanced Data Science technologies and uses cases like "Advanced Artificial Intelligence", "Data Munging", "Data Science Case Studies" and "Big Data for Data Science"
- Some advanced courses will also be taught in due semesters
- Harvard Business Review called Data Science "The Most Attractive Job of the 21st Century".
- Data Science is fundamentally changing how businesses make decisions that are backed up by hard data rather than making decisions that are intuitive or based on observation alone