DATA IS LIFE
We are living in the age of information and data. Data accumulation is happening at a dizzying speed of 2.5 quintillion bytes of data every day and doubling every year, Every industry is looking to hire talent who can structure the data and process it for insights, According to Glassdoor, data scientist ranks in the top 25 careers in the world with an average annual pay of around $137,776. This scenario is replicating in the Indian market where there is shortage of Data Analytics Specialists and Data Scientists to fill the gap that has been created by the industry on the daily basis.
Furthermore, according to Gartner market research 2.7 million jobs will be created in the field of DS and AI, creating a demand for the highly skilled specialists in the near future.
What is Data Science?
Data Science is a sought after area of business that is applicable to every industry irrespective its size and operations where the data is analysed to form working models for decision making. It is a combination of Data Analytics and Machine Learning techniques to develop decision making models for business decisions. Data Analytics that deals with structuring and analysing raw data to create insights and make conclusions, is core for the Data science. With the ever increasing volume and versatility of the data and the complexity involved in it, market is constantly looking for the talent that could provide predicative models for decision making.
As a Data Scientist you would be involved in every stage of handling data right from the source to the modelling. Considering the minimum requisites to learn the Data Science, anyone could learn it under right environment and lots of practice. With ever increasing amount of data from various sources this field is going to advance and create more opportunities for the freshers and those who are looking for a career change to make their mark in the field of Data Science and Artificial Intelligence.
Learn how to create insight from data to empower organizations make informed decision to gain edge - Data handling, Validation, Visualization & Modelling
- Learn to handle data to make it useful to work on conducting basic statistical methods
- Learn to design data models & build data warehouses.
- Have a structured thinking, analyse business problems & visualize data in Tableau & generate reports.
- Apply business analytics and machine learning techniques
- Learn to use R, advanced Excel and Python for building data models.
HOW WOULD YOU BENEFIT?
- Knowledge-Skill Pedagogy
- Project Based Approach
- Industry Driven Courses
- Real-Time projects
- Experience with the Exposure
- Interview Preparation
- Internships and projects
- Scholarship Assessments
This course is designed by industrial professionals and academicians which enable you to understand how to add intelligence to machines for better productivity & reliability. In this course stress has been given to develop a thought process to solve problems using artificial intelligence. All our courses are coupled with real time projects for effective knowledge transfer. Post completion, you would be able to write and apply artificial intelligence algorithms , code algorithms, and define solutions independently. Our preparatory modules would bring you up to the speed, irrespective of your background supporting your path towards Deep Learning .You would be offered a chance to secure an internship with relevant industries and participate in our hackathons.
SKILLS YOU WOULD ACQUIRE
CERTIFICATION AND OPPORTUNITIES
Industry valued certification post-completion of all the course modules. Improve your profile with certification and project experience that adds value to your credentials. Join the group of other professionals and network to give your career a boost.
- Industry-ready certification
- Add to your profile
- Access to Alumni network
- Be part of the AI Workgroup
- Share over your social media