Meghnad Desai Academy of Economics (MDAE)
launches
Certificate Program on
Quantitative Essentials For Data Science
30 Hours | Self Learning Program
7 Day Money Back Guarantee
Course Overview:
Quant Reasoning enables us to apply basic math and stats skills to solve such real-world problems across disciplines. The idea of this course is to drill these concepts in a visual and interactive fashion and develop critical thinking which is a must-have for any career, especially one in Data Science!
This course is an essential primer for anyone who wishes to pursue the R or Python Career track.
- Mastered the basic principles of calculus and recognize where to apply them.
- The ability to visualize common functions, their graphs and data trends.
- Know how to set-up equations and the tools to solve them.
- Learnt the basics of ‘regression’, hypothesis testing and various distributions.
- Be able to understand how conclusions are drawn based on samples, be it election outcomes, or
vaccine efficacy.
Any individual who:
- Aspires to pursue a career in data science but lacks strong quantitative formal training.
- Wants to be able to adopt a numbers-based / data centric approach to problem solving.
- Requires to demonstrate strong quant skills for a career switch or even for applications to foreign universities.
- Simple algebraic expansions and factorization.
- Able to manipulate indices. Equations and inequalities in one variable.
- Able to solve simple simultaneous equations.
- Introductory Co-Ordinate Geometry, slopes, distances, equation of lines.
- Familiarity with the concept f(x) – functions will be a plus.
Meet Your Course Faculty
Shailesh Bharati
Shailesh Bharati
Masters and M.Phil in Economics
He has experience of 8 years in teaching quantitative subjects such as Mathematical Economics, Statistics, Econometrics. He has worked in financial modelling on databases of DataStream and Eikon on Thomson Reuters and Bloomberg.
Key Features
Self Learning Program
30 hours Self Learning Program.
Continuous Assessment
Pre-course and post-course evaluation assignment
Case Studies
1 Assignment.
Constant Learner Support
Digital office hours + teaching assistant + lifetime recording access on LMS.
Alumni Status
Industry event invitations + student network access
Career Enhancement
1 session for resume building & interview tips.
Session-Wise Course Curriculum
Introduction to Graphs – the why and how
Graphs of Common Functions.
To look at Data and be able to identify the nature of function which can best fit the data
Concept of Derivative – What it means and how to find derivatives of common functions.
The intuition behind rules for finding derivatives. Optimization using derivatives
Concept of partial derivatives and uses in optimization
Introduction to Integration.
Common tools and techniques used in the integration. Applications.
Formulating and solving a system of equations – the role of determinants and matrices.
Principles of Counting – Permutations Combinations with Lots of Interesting and Practical Examples. How the estimates help in determining complexities of algorithms.
Introduction to Probability Theory with Lots of interesting examples. Conditional Probability.
Representing data – common techniques to represent data.
Random Variables – Discrete and Continuous. Measures of Central Tendency.
Binomial, Poisson Distributions – Applications.
Introduction to the Normal Distribution.
Normal Distribution.
Solving problems using tables, excel, calculators.
Hypothesis Testing – z test, t-test.
Point Estimates, Confidence intervals, p-values.
Hypothesis testing – Chi-Square test.
Linear Regression – Concept of fitting a line to a given data.
Testing for correlation coefficients.
Projects / Case Studies
Procuring Washing Machines
A company sells 1000 washing machines per year, on an average. Getting them all at once will reduce the per order cost and headaches, but then there is a warehousing cost. What is the ideal quantity to order based on other parameters? What are these other parameters?
Extrapolating Voter Data
There is going to be a closely contested election at the state level. A simple sample of 500 people polled gives the candidate 52% of the votes. Is that enough to sit back and relax? What could be the sample size to give the candidate the confidence needed to take further action?
Proving Sixth Sense
A person claims that she has ESP. Can we devise a test to check the claim. If probability dictates that she will be right 25% of the time, and she is right 27% of the time when asked to perform the experiment 1000 times, is that enough proof to validate her claim? What about 28%? What is that magic number when we can accept her claim? And even if we do, can we still be wrong? What is that margin of error?
MDAE Alumni Track Record
MDAE alumni working in diverse roles across leading companies.
Arushi Mishra
Data Consultant
Vallari Naik
Trainee Decision Scientist
Pooja Joshi
Senior Research Analyst
Nishitha Mehta
Risk Analyst
Swati Shrimali
Business Analyst
Ujas Shah
Research Analyst
What Our Students Say About Our Faculty
"Prof. Shailesh definitely has a very different approach to teaching maths. It was refreshing to see how he took an effort to make us understand the concept and it's applicability rather than dumping formulas and methods. It was also great how Prof. introduced us to various online calculators and other tools. This truly emphasized that getting the right answer isn't all that matters, but it is how you get there and the process of learning that truly matters. I also appreciate the continuous assessment Prof. carried out as it really give us an incentive to study on a regular basis. Moreover, he taught at a very comfortable pace and his explanations were on point. Overall, I had a great time attending Prof. Shailesh's lectures."
Michelle Francis – Batch 2020-21
"What added to the experience was how engaging and interactive our classes were. There was never a dull moment in class. Puzzles, games, open book examinations and stories filled the air. I think quite often students struggle to see the practical applicability of what they study. In my opinion, studying with Shailesh Sir helps you close that gap. He not only exposes you to how a concept is applied outside of academia but also equips you to think about any given problem in a certain way. He always told me, "Work smarter, not harder". That was a big takeaway for me."
Tvesha Sippy – Batch 2018-19
Rs 4990
Rs 999
Including GST
Quantitative Essentials For Data Science
30 Hours Self Learning Program.
Certificate Program on Quantitative Essentials For Data Science
MDAE's online courses are loved by learners across 100 + companies and 200 + top colleges.
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Discount Offer Valid For Limited Time!