DataScience
Get Certified. Get Recognised. Get Employed.
ELIGIBILITY Freshers in B.Tech. (All Branches), MCA ,M.Sc., M.Tech., B.Sc. (CS, IT, Physics, Maths, Statistics), B.Com.
TARGET AUDIENCE
◼ Beginners in the AI & ML space looking to kickstart their careers
◼ Anyone with basic programming skills interested in the AI & ML space
◼ Data Scientists looking to boost their career
◼ Professionals looking for a career transition into AI & ML
COURSE OVERVIEW
Course
Duration
45 Days +
1 Month Internship
Delivery
Mode
Classroom
The fast-paced growth of data and the amount of knowledge that is being drawn out of this data has created many new and exciting opportunities for students having deep knowledge of Data Science and Artificial Intelligence. Many of the biggest names in the tech industry have invested heavily into both AI acquisitions and AI related research and development. Companies such as Microsoft, IBM, Google, and Samsung have each submitted thousands of AI patent applications, and AI related startups are raking in billions of dollars in investment funds each quarter.
As artificial intelligence can be applied to a lot of problems and different markets so it should be seen as a fundamentally new approach to every problem and situation. Cokonet’s data science program is an industry-oriented program which focuses on helping aspirants learn practical application of Machine learning and Analytics, and make them job ready.
It aims to help them gain practical knowledge and accelerate their entry into the roles of Data Scientist, Analyst, or Machine Learning Engineer. This project(internship)-based, multi skill course will get you comfortable dealing with differ ent types of structured and unstructured data to solve critical business problems using machine learning and deep learning.
DATASCIENCE - KEY FACTS
- Average Salary of Machine Learning Engineer is $144,000
- AI and machine learning have the potential to create an additional $2.6T in value by 2020 in Marketing and Sales, and up to $2T in manufacturing and supply chain planning.
- Gartner predicts the business value created by AI will reach $3.9T in 2022.
- IDC predicts worldwide spending on cognitive and Artificial Intelligence systems will reach $77.6B in 2022.
IMPORTANCE OF LEARNING DATASCIENCE
There is an increasing need for intelligent and accurate decision-making across industries. This has led to an exponential growth in the adoption of AI and ML technologies, and they are expected to remain relevant in years to come.
Research data from McKinsey Global Institute says that there is large potential for AI to contribute to global economic activity. 70 percent of the organization would have adopted at least one type of AI technology by 2030. Artificial Intelligence based technologies has the potential to deliver additional global economic activity of around $13 trillion by 2030, or about 16 percent higher cumulative GDP compared with today
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