Get the most demanding course certification on your resume.
Become a MDAE’s certified data analysis specialist. The job of Data analyst has already become the hottest job in recent times because each business requires data driven decision making. Companies require an employee with the capability to analyze data and present insights to make decisions.
Data analyst have analytical skills. These skills helps them to do analyze data better and presents insights for business decision making
Our data analyst course will have different modules: programming, excel, SQL, Power BI, Tableau, visualization and wrangling data. Learn how to apply these technologies to solve real world business cases.
According to Quanthub, Data Analyst is forecast to be one of the most in-demand jobs by 2022. According to Glassdoor findings, the national average salary for a Data Analyst is INR 6,00,000 per year in India.
Assistant Professor, MDAE
Manager in L&T financial
Masters and M.Phil in Economics
Visiting faculty in IIMs, SP Jain, NMIMS Mumbai
Module 1: Introduction to R Programming
Click here to Enroll for Module 1 only
Introduction to R console and editor, idea of packages in R
Types of data- integers, characters, numeric, logical, factor, dates, etc.
Types of objects: lists, vectors, matrices, data-frames, etc.
Creating and working with simple vectors
Merging vectors into a single data set
Basic mathematical and statistical operations- Calculating measures of central tendency and dispersion
Importing data from an excel sheet into R and exporting data from R to excel
Handling missing values
Writing functions, if-else statements and generating loops
Introducing the basic plot function- scatter plots, lines, steps, box plots
Adding parameters to the basic plot function- creating legends, adding background colors, grid lines, viewing multiple graphs in a single pane, etc.
Bar plots, histograms, pie charts
Quintiles, Percentiles, Q-Q plots
Probability - counting, generating random variables, discrete and continuous probability functions
Module 2: Data Wrangling and Visualization with R
13 November, 2021 - 5 December, 2021
Click here to Enroll for Module 2 only
Scatter plots, lines, steps, box plots, adding parameters to the basic plot function- creating legends, adding colors, grid lines, viewing multiple graphs in a single pane, etc.
Bar plots, histograms, pie charts, quintiles, Percentiles, Q-Q plots, function curves
Basic line graphs, scatters, regression lines, balloon plots, etc. with ggplot2
Bar plots, correlation matrix, functions, network graphs
Heat maps, 3-dimensional and animated graphics
Chloreopath maps and creating maps from a shape file
Data wrangling part 1
Data wrangling part 2
Module 4: Introduction to Power BI
12 December, 2021 - 9 January, 2022
Click here to Enroll for Module 4 only
Module 5: Introduction to Tableau
16 January, 2022 - 12th February, 2022
Content to be updated soon
Module 6: Introduction to Excel
19 February, 2022 - 27 February, 2022
Content to be updated soon
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?
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?
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 working in diverse roles across leading companies.
Trainee Decision Scientist
Senior Research Analyst
Head – Treasury Economics and Strategy, RIL
We have had a very good experience with a student from MDAE who has been working with us over the past three years. Practical exposure is what differentiates MDAE students, and we observed that she was able to close the gap between academia, and real-life faster than fresh graduates from other renowned institutes. MDAE is doing a stellar job in preparing candidates for the job market.
Chief Economist Crisil Ltd
With sound training in economic concepts, practical experience and exposure to real-world issues. MDAE students appeared well prepared for the job market.
CEO & Senior fellow at IDFC Institute
We had an excellent experience working with a student from the MDAE. Unlike most, he had an extraordinary curiosity and a willingness to learn and place textbook economics in their historical and political context, which itself involved digging into 500 years of political history. Based on this experience of working with him, we have made him an offer to join us full-time once he graduates from MDAE
MDAE's online courses are loved by learners across 100 + companies and 200 + top colleges.
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