This course will take you through the different tools of Machine Learning including classification, clustering and predictive analytics and implement them in R. Using a variety of real-world datasets and case studies, you will learn to discern patterns in extremely large data and understand the relationships between variables in them.
This course is essential for anyone who wishes to pursue the Data Science Career track with R.
Insurance companies invest a lot of time and money in forecasting the medical expenses of prospective clients. Given data on patients, how will you develop a model that can accurately forecast average medical expenses?
MDAE alumni working in diverse roles across leading companies.
Trainee Decision Scientist
Senior Research Analyst
"Neeraj Sir's course is a perfect blend of conceptual learning and real-world examples. Neeraj Sir kept us engaged and intrigued throughout the class by giving us problems faced by real firms and governments. Learning how to run our models on R made our analysis more reliable and accurate. The weekly assignments required the application of whatever we covered in class to solidify our understanding. As someone who was new to econometrics, I am a lot more confident after the course."
"The "Econometrics for Policy" conducted by Dr. Neeraj Hatekar is a unique and comprehensive course that highlights the econometrics tools necessary especially in the sphere of policy. There aren't many courses out there that offer something like this and that's what makes it special. Prof. Neeraj is exceptionally good and his experience speaks for in his teachings. The econometric tools are also taught in the R programming language and special efforts are taken to do the same. TheTA is also approachable and plays a key role to coordinate the course smoothly"
MDAE’s learning journey offers a candidate multiple entry and exit points. For those with prior exposure to the field, they can choose one or more of the courses on offer as long as they meet the course prerequisites. For example – a candidate who understands the basics of programming, can straightway opt to study the wrangling course or even the machine learning course. On the other hand, the career track allows a participant to deep dive and go through a solid training right from the foundation to the advance level. The career track is a 120 hour, 4 course training program which allows the candidate to pick a programming language between R or Python. The first course (Quant essentials for data science) is common across the programming languages, and the next 3 courses are specific to what you choose (R or python)
There are 3 distinct advantages of choosing a career track over a skills track –
1) Different certification – With the integrated 4 course training, candidates will become an MDAE Certified Data Scientist – an industry demanded certificate.
2) Small group mentoring – Candidates will receive live mentoring with industry’s best practitioners throughout the program.
3) Capstone projects – Deserving candidates can be evaluated for projects/internships with our industry partners.