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Program Overview

This bootcamp is a focused attempt to provide a solid foundation to everyone seeking to get started as a data scientist. It doesn’t matter if you are a fresher or IT professional or non-IT professional, all you need is a passion for problem solving. After completing this course you will possess all the skills required to build analytics solutions using R.

PROGRAM STRUCTURE

GETTING READY

Before you come in, get ready for the Bootcamp. Introduction to data science.

A series of online tutorials will teach you the fundamentals of data science and introduce you to the basic statistics & excel

3 DAY BOOTCAMP

Learn and apply data science. 30 hours in 3 days. Build analytics solutions.

Our carefully crafted curriculum provides the right mix of theory, hands-on labs & projects. Our experienced instructors bring case from frontlines to solidify learning.

BEYOND BOOTCAMP

More learning, capstone project, case studies & doubt clearing session.

Get started on 3 capstone projects. Solidify your learning by accessing several assignments & new case studies. Doubt clearing sessions will be conducted as well.

 

POST COMPLETION YOU WILL BE ABLE TO…

WHY SHOULD YOU DO THIS BOOTCAMP?


CUTTING EDGE CURRICULULM

COURSE CONTENT HAND CRAFTED (& NOT COPY PASTED) BY CONSULTING EXPERTS. EVERY THING IS LEARNT THROUGH PRACTICAL CASE STUDIES & INDUSTRY PROJECTS

BUILDS SOLID FOUNDATION

3 FOCUSSED DAYS WITH US IS ALL YOU NEED TO GET STARTED ON ANALYTICS SOLUTION BUILDING USING DATA FROM YOUR ORGANIZATION OR FROM OPEN DATA SOURCES

ON THE GO LEARNING

ANYTIME ACCESS ONLINE – IMMERSIVE LEARNING VIDEOS, RECORDED SESSIONS, ASSIGNMENTS, PROJECTS, SOLUTIONS & DOUBT CLEARING SUPPORT THROUGH OUR LEARNING SYSTEM

INDUSTRY MENTORSHIP

RECEIVE 1-TO-1 GUIDANCE FROM INDUSTRY EXPERTS ON HOW TO GET STARTED IN ANALYTICS CAREER OR HOW TO GROW WITHIN YOUR CURRENT ORGANIZATION

CONCEPTUALIZED BY INDUSTRY EXPERTS


Jaydeep Chakraborty
Data Science Expert

An innovator and creator at heart. He has 10+ years of experience in building analytical solutions & digital strategy for large organizations. Specialized in business transformation through analytics.

SRINIVAS KOPPARAPU
Big Data Expert

Srinivas Kopparapu is an internationally recognized faculty, with 31 years of industry experience. He is a Franklin Covey Certified faculty and an evangelist of Big Data, Hadoop, Mark Logic , Bitcoin & Python

Jose Marcial Portilla
Data Science Expert

After graduating from Santa Clara University, he has gone on to lead data science teams and provided several Fortune 500 companies with Data Science and Programming Training and Consultation.

Gurleen Sabharwal
Data Science Expert

After graduating from SRCC & DSE, she has worked for world's top consulting firms. She brings her passion for teaching & 10+ years of analytics implementation experience at Fortune 100 companies.

Shishir Pal
Marketing Analytics Expert

A graduate from IIT Kanpur, has a passion for telling stories from big data. He has built several innovative solutions on big data while working for some of the top consulting firms in the world.

Srikanth Balasubramanian
(B.E, PGDM, FPM*)

I have over ten years of experience across training, consulting and software. I am a corporate trainer and data science consultant for Fortune 500 and MNC firms like VISA, CISCO, Honeywell, NXP, Metro, KPMG, PWC Analytics Advisory & Brillio technologies.

Course Contents

BOOTCAMP (3 Days)

R PROGRAMMING

  • R overview. Installation. Packages & walkthrough.
  • Data structures (Vector, array, factors, data frames, lists).
  • Arithmetic & logical operators.
  • Subsetting. Missing, indefinite & infinite values.
  • For loops. While loops. Nested loops.
  • Disadvantage of using loops.
  • Alternates to loops.
  • Understand the structure of function. Build your own function.
  • Package installation & updates.
  • Access package functions.
  • Hack a function.
  • Build your own package.
  • Save, load & delete objects.
  • Data import & export in R
  • Sort & rank.
  • Data Aggregation.
  • Merging.
  • Apply, Lapply, Tapply,
  • By, Replicate functions.
  • Data visualization in R (plot, ggplot)

LINEAR REGRESSION

  • Introduction to linear regression technique & its uses.
  • Details of ordinary least squares estimation technique.
  • Modeling steps & variable handling.
  • Model statistics interpretation.
  • Outlier treatment
  • Missing value treatment
  • Covariance & Correlation
  • Multicollinearity & Variance inflation factor
  • Model development & validation
  • Validation of linear regression assumptions.
  • Metrics to measure model performance.

Machine learning

  • Introduction to machine learning
  • Decision Trees & Random Forest
    • Understanding decision trees.
    • Understanding classification rules.
    • Understanding Random forest.
    • Modeling using Random Forest.
  • Classification using Nearest Neighbors
    • Understanding classification using nearest neighbors.
    • The kNN algorithm - Calculating distance,
    • Choosing an appropriate k,
    • Preparing data for use with kNN.
  • Understanding neural networks.
    • Activation functions.
    • Network topology.
    • Training neural networks with backpropagation.
  • Text Mining & Sentiment Analysis
    • Concepts and components of text mining
    • Text mining tasks and approaches
    • Access twitter data.
    • Build frequent term network
    • Topic modelling
    • Analysis of followers & retweets
    • Understand sentiment analysis and its key concepts.
    • Sentiment polarity.
    • Opinion summarization.
    • Feature extraction.

CLUSTERING

  • Introduction to clustering.
  • Types of clustering & their uses.
  • Data standardization
  • K-Means clustering.
  • Cluster profiling & validation

LOGISTIC REGRESSION

  • Introduction to logistic regression technique & its uses.
  • Maximum likelihood estimation technique
  • Modeling steps.
  • Dependent variable definition.
  • Variable handling.
  • Model statistics interpretation.
  • Model development & validation
  • Concordance
  • Sensitivity, specificity & Accuracy
  • Misclassification matrix
  • Gini coefficient & ROC curve
  • KS statistic & Lift chart
  • Weight of Evidence & Information Value.
  • Variable reduction.
  • Model statistics interpretation.
  • Metrics to measure model performance

FAQs

How does learning R would impact my career?

R is indeed very popular amongst the programming language; approximately 70% of data miners around the world prefer this language. Focusing on the demand of R language in the Big Data industry, it is considered as a compulsory skill-set. Moreover, learning R would get you better job opportunities around the globe that too with a handsome salary package.

How am I be benefited with the Bootcamp?

This Bootcamp offers you the chance to learn Data Science and Machine Learning with R essentials under the supervision of an industry expert trainer not only theoretically, but practically as well. The training curriculum is very crisp and covers all the important aspects that you need for a promotion or be in the limelight at your workplace. This 3 Days Bootcamp training is specially designed to enlighten participants with the trendiest needs of the industry. Nevertheless, this training could be a turning point for your career.

How R is better for Data Analysis?

R has a huge library of statistical package which covers all from Psychometrics to Genetics to the Finance. Most of the financial or statistical tasks can be accomplished by the R skill set. Thus, learning R would be the correct decision if you are planning to make your career in Big Data industry.

What all this Bootcamp offers?

The purpose of this Bootcamp is to impart intelligence on Data Science and Machine Learning with R that macthes the industry requirements and bring limelight for you at your workplace:

  • Crisp Curriculum: a curriculum that is designed to insight parcipants, both theoretically and practically.
  • Expert Mentorship: Learn under the supervision of the expert mentorship about implementing your intelligence in the most tactful way.
  • 24/7 access to modules: You can access the Learning Management System anytime, anywhere.
  • Clear Your Doubts: You would be benefited with sessions where you can clear your doubts related to the subject matter with your mentor.
  • Hands-on Sessions: You would get the chance to practice whatever you have learned through industry project practice sets.
What all I could learn here?

This training throws light on the trendiest aspects of the Big Data industry such as: R programming, Linear and Logistic Regression, Machine Learning and Clustering.

Will I get any certification after completing this Bootcamp?

Yes, you will receive a training participation certificate from ScholarsPro after completing this Bootcamp training.

How this training helps me in my career?

This Bootcamp training proves to be a stepping stone in your career. Here you will meet the experienced and expert trainer, who will help you in dealing with the real time industry project issues. You will get insighted on the tricks and techniques that would surely be helpful in resolving the issues in no time. Nevertheless, this training is efficient enough to make you a perfectionist in implementing adequate techniques and grab attention at your workplace.

Who should I contact to know more about this training?

You can write at info@scholarspro.com or call on the number given on this website (relevant for your country).

6 INDUSTRY PROJECTS- COVERED IN BOOTCAMP


PREDICT HOUSE PRICES

  • OBJECTIVE - Use 20+ attributes like number of bedrooms, bathrooms, area, views, age, etc to predict the price of house.
  • SOLUTION - We will be building a linear regression model using R.

PREDICT WHO IS GOING TO LEAVE A TELECOM SERVICE PROVIDER

  • OBJECTIVE - Use 50+ attributes across customer behaviour, usage behaviour, package details, etc to predict who will attrite and go to other service provider
  • SOLUTION - We will be building a logistic regression model using R.

CLUSTER RETAIL CUSTOMERS

  • OBJECTIVE - Use a large number of aspects like demographics, buying behaviour, value, etc. to realize different homogenous clusters of customers.
  • SOLUTION - We will be building a clustering model using R.

ANALYZE A TWITTER ACCOUNT

  • OBJECTIVE - Access a twitter account and create several visualizations to draw interesting insights & perform sentiment analysis on tweets
  • SOLUTION - We will be analysing real time data from a twitter account

POST BOOTCAMP – 3 CAPSTONE PROJECTS


PREDICT claim amount for an auto insurance company

  • OBJECTIVE - Use 15+ attributes like age, gender, marital status, car details, driving details, etc to predict the claim amount expected from a policy holder.
  • SOLUTION - We will be building a linear regression model using R.

PREDICT IF A TELECOM CUSTOMER IS GOING TO BECOME A HIGH VALUE CUSTOMER

  • OBJECTIVE - Basis first 15 days of telecom usage, the company intends to predict who is going to become a high value customer, so that they can be provided differentiated service
  • SOLUTION - We will be building a logistic regression model using R.

DIAGNOSE BREAST CANCER

  • OBJECTIVE - Use multiple patient attributes to diagnose breast cancer.
  • SOLUTION - We will be building a clustering model using R.

CERTIFICATION


Certified Data Scientist

Become a Certified Data Scientist post attending the Bootcamp and completing 80% of the e-learning modules and assignments

Experience Certificate of 6 months

Post completion of anyone of the 3 CAPSTONE Projects you will receive a Six-months experience certificate from our consulting partner company SIMPLIFY ANALYTICS PVT LTD

OUR VALUE PROPOSITION

YOU WILL LEARN TO BUILD ANALYTICS SOLUTIONS. GUARANTEED!


LEARN FROM ‘EXPERTS ONLY’

IVY LEAGUE EDUCATION + 10+ YEARS OF EXPERIENCE AT WORLD’S BEST CONSULTING CONPANIES


REAL INDUSTRY PROJECTS

WE LEVERAGE OUR CONSULTING PRACTICE TO BRING NOTHING BUT ONLY REAL INDUSTRY PROJECTS


PERSONALIZED LEARNING

HANDHOLDING FOR ANALYTICS NOVICES & NEW EXPOSURE FOR ANALYTICS AMATUERS


GUARANTEED PLACEMENT

100% PROVEN TECHNIQUES FOR JOB SEARCH, RESUME BUILDING & INTERVIEW PREPARATION


OUR DATA SCIENCE TRAINING OVERVIEW

50000+ Training hours
  • Rich experience in both online and classroom training. 100+ batches in last 2 years
  • Corporate training at Fortune 500 companies
  • Analytics programs and guest lectures at leading B Schools

1000+ Students & Alumni
  • Our students are trained to be successful in keeping with their skillsets and aspirations
  • We groom students as Data Engineers, Data Scientists, Analytics Consultants and Data Creatives

6 Training Areas
  • We have courses in Business Analytics, Machine Learning, Big Data, Visualizations, Analytics Tools & Industry specific areas
  • Each area has multiple courses giving the opportunity to select micro specialization
  • We use industry cases only

90%+ Placement Record
  • Quality of our students has enabled them to work across leading consulting & technology companies
  • We forge partnerships with our students well beyond their training helping them with guidance and business outreach


Average Google & Facebook ratings
This is a result of our relentless focus to add value to our students

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