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6 Industry relevant projects

INR  35,000 (Excl of Taxes)

CERTIFICATION IN FOUNDATIONS OF DATA SCIENCE

5 months

ADMISSIONS OPEN

Online learning + Offline placement

Earn a reputed certification from IIIT-Bangalore

FEES

Industry Ready Curriculum

DURATION

College Placement Support

Language Access

Access to premium companies

PART TIME

Get a Certificate in Foundations of Data Science

Kick start your career in data science by mastering concepts of Data Management, Statistics and Machine Learning  from most influential Data Science leaders and academicians of India.

USING TOOLS LIKE

Industry Projects

Support & doubt clarification

Prepare for your college placements through our placement training and also get the opportunity to attend interviews with 50+ premium companies outside of your college placement

Learn. Experience. Master.

Complete 6 industry-relevant projects with guidance from experts and get 1:1 mentorship with industry experts

Placement support

Get your doubts clarified by experts and professors through the discussion forum. Your personal student mentor will help you plan studies and track your progress

Learn from our comprehensive collection of case-studies, hand-picked by industry experts, to give you an in-depth understanding of how data science moves industries like telecom, transportation, e-commerce & also receive project mentorship from them.

Learn by Application

PROJECT 3

Uber Demand Supply Gap

PROJECT 4

Gramener - Lending Club Analysis

PROJECT 1

Box Office Analysis

Perform exploratory and confirmatory analysis to identify factors that enhance customer's chances of defaulting on a loan.

PROJECT 2

Spark Funds Investment

Use your skills to predict which employee is going to leave the company in the near future and take preventive actions to reduce attrition.

PROJECT 5

Geelay Auto - Price Prediction

Use analytics to identify why Uber sometimes faces a supply-demand gap challenge and what can be done to overcome it. 

Build a model to understand the factors car prices vary on and help a Chinese company enter the US car market. 

Use data analysis and manipulation skills in R to find the most profitable movie and most dependable actor. 

PROJECT 6

HR Analysis - Case study

Spark Funds is looking for new avenues to invest its surplus funds in the startup ecosystem. Help the fund identify the geographies and sector for its investment to maximize the return.

10 hours

Rs 35,000

Course Duration

Mar'18 - Jul'18

Program Vitals

5 Months

per week

Program Fee

Time Commitment

(Excl. Taxes)

This program has been designed in collaboration with some of the most influential analytics leader and top academician in data science.

Learn from the best Data Science Leaders

  • Inferential Statistics

               Learn Probability, Central Limit theorem and much more to draw inferences.

3 Courses | 5 Months

  • Clustering

               Learn how to create segments based on similarities using K-Means and Hierarchical clustering

  • Data Visualization

               Make your data visual using R and  tools like Tableau

Introduction to Data Management

  • Hypothesis Testing             
    Understand how to formulate and test hypotheses to solve various business problems
  • Languages of Data Science

               Learn tools and Languages used for data analysis - R,SQL, Python and Tableau. These modules are also a part of the preparatory course.

  •  Liner Regression

               Learn to implement Liner Regression and predict continuous data values

  • Introduction to Data Warehousing and OLAP

    Equip yourself with knowledge to extract and pre-process data before analysis

Program Syllabus

  • Case study - Investments

               Implement your learning to find sectors in which different companies ought to invest.

  • Descriptive Statistics
    Summarize and describe data sets using measures such as Central tendency and variability
  • Data Preparation

               Learn how to prepare data before you analyse them.

  • Exploratory Data analytics               
    Derive initial insights from the data using R and other visualization tools.

Introduction to Machine Learning

  • Case Study - Uber Supply Demand Gap      
    Apply statistics and understand how you can solve the supply-demand gap of Uber cabs
  • Classification
    Understand and implement algorithms like K-NN*, Naive Bayes and Logistic Regression

Statistics and EDA

  • Case study - HR Analysis

              Predict which employee is going to leave the company in the near future and take preventive actions to reduce attrition.

Become a Data Scientist