PG Program in Data
Analytics
Apply Now
Take the next step

Please enter your details to download the Post Graduate Program in Data Analytics brochure.

Our Students are Placed in

Program Overview

Key Highlights

Receive PG Certification from LSBF

60+ Hours of Live Classes

Top-class faculty from LSBF & industry

7 industry projects from different domains

180 Hrs of learning via live online classes or videos, assignments & projects

Career essential soft skill program

Learning Outcome
  • Globally relevant and industry ready skills in Data Science
  • The hands-on practical experience of having applied these skills across a wide range of business dimensions
  • Industry guided curriculum for job ready skills
  • Program designed to give graduates and experienced professionals an extensive Data Science education
Top companies paying high salaries to data scientists
  • Oracle : US$124,000
  • Pinterest: US$162,000
  • Uber: US$146,000
Programming Languages and Tools Covered


Who can apply
  • No technical background needed. However you need to be a graduate or pursuing graduation in any field.
  • Interested in creating a career in data analytics
  • Interested in learning how to analyse data to use in current profile
  • Interested in upskilling with data analytics skillsets to gain promotion and pay hikes.
Career Prospects

Data Analyst, Business Analyst, Financial Analyst, Business Intelligence Analyst,Infrastructure architect, Business Intelligence Developer, Marketing Analyst,Quantitative analyst, Data Visualization Specialist.

Request more information

Detailed Curriculum

Best-in-class content by highly experienced faculty and eminent industry leaders. Live online classes, case-studies, projects, and assignments.

  • Introduction to Business Analytics
  • Fundamentals of R
  • Data Visualization in R
  • Data Preparation and cleaning using R
  • Understanding the data using univariate statistics in R
  • Hypothesis testing and ANOVA in R to guide decision making
  • Correlation and Linear regression
  • Logistic regression
  • Techniques of customer segmentation
  • Time series forecasting techniques
  • Decision trees & Random Forests
  • Boosting Machines
  • Cross Validation & Parameter Tuning
  • Final Case Study
  • Introduction to SQL
  • SQL Data Types & Operators
  • Useful Operations in SQL
  • Aggregating Data in SQL
  • Writing Sub-Queries in SQL
  • Common function in SQL
  • Analytic Functions in SQL
  • Writing DML Statements
  • Writing DDL Statements
  • Using Constraints in SQL
  • SQL Joins
  • Views in SQL
  • Introduction to Business Intelligence & Visualization
  • Introduction to Tableau
  • Dive into Tableau
  • Connecting Data Sources
  • Tableau Generated Fields
  • Data Manipulation in Tableau
  • Working with Dates in Tableau
  • Data Customization with Calculations
  • Adding Dynamism to a View with Parameters
  • Geographical Analysis & Maps
  • Creating Visualizations
  • Adding Statistics to Data
  • Formatting & Annotation
  • Dashboards & Stories
Skills Covered
  • Basic Statistics
  • Advanced Statistics
  • Descriptive analytics
  • Predictive analytics
  • Using R and R Studio for analysing data
  • Data Analysis in SQL
  • Data Visualization in Tableau
Learner Profile

This program caters to working professionals from a variety of Industries and backgrounds:
the diversity of our students adds richness to class discussions and interactions.

Industries

Companies

Our Faculty
Stephen Coe
Stephen Coe
MA
Financial Consultant
Stephen has been teaching a wide range of courses to his clients for over 20 years including: Finance Modelling and Financial Planning and Analysis. His professional journey started with KPMG, which he joined after achieving his MA in Engineering at Cambridge University. After qualifying as a chartered accountant, Stephen provide financial modelling consulting to KPMG’s clients.
Ben Botes
Ben Botes
MBA, MSc, BA
Digital Marketing consultant
Ben has a friendly, humorous and organised approach to teaching and delivering business outcomes. He has over 20 years of experience as a lecturer and business consultant which has enabled him to build strong relationships with clients and colleagues, develop a strong ability to present ideas and findings and build credibility and trust.
Graham Mills De Pledge
Graham Mills De Pledge
Management Consultant
Graham has 22 years of experience as a consultant in management leadership delivering training and development courses to managers at all levels. He is a lead trainer with the Chartered Institute of Personnel and Development (ICPD) and a facilitator and qualified assessor for the Institute of Leadership and Management (ILM).
Industry Expert Faculty
Dr. Kingshuk Srivastava
Mr. Utsab Chakraborty
Manager
Customer & Marketing Analytics, Flipkart
Utsab is an Analytics Manager at Flipkart and has a total of 10+ years of experience in analytics. He is an expert on predictive analytics, machine learning, R & Python. He has worked extensively in the retail/CPG, e-commerce and banking domains. His rich experience in consulting & delivery has transformed analytics journeys of several Fortune 500 companies. He also has a lot of training experience. Utsab has completed his PGDM from XLRI and his B.Tech from Kalyani Government Engineering College.
lalit_pic.png
Mr. Renold Devaraj,
Data Scientist
Dell
Renold is a Data Scientist with 10 years of experience working with companies like Dell, Cognizant, TCS, Capgemini, Latentview etc. He is an expert on predictive modeling and marketing analytics and has worked on various projects for verticals like telecom, banking & retail. He is also a visiting faculty at various management & engineering schools in the country. Renold is an MBA from NIT Trichy and BE from Anna University.
Mr. Aatash Shah
Mr. Abhishek Nagarjuna
Sr. Ai Scientist
Course5i
Abhishek is an AI & Data Scientist with 5 years of experience working with various global consulting companies. He has worked on various projects using advanced machine learning & AI algorithms. He is an expert on predictive modelling, machine learning, deep learning, R and Python.
Mr. Aatash Shah
Dr. Lalit Sachan
Co-founder & Head – Data Science, Edvancer
IIM, Lucknow
Lalit has over 10 years of experience in data science & AI. He has worked as a data scientist handling end to end data science projects in organizations like Global Analytics and Shopveg. Lalit is a corporate trainer in data science and AI for top companies like EY, PwC, Deloitte, GE, HDFC Bank etc.

Advanced Certification in PG Program in Data Analytics

On the successful completion of the course, you’ll get an Advanced Certification from LSBF, India’s top ranked institute of national importance

  • LSBF ranked 4 in NIRF 2020 Ranking List
  • Build a strong network in Data Analytics domain with opportunities to connect with LSBF experienced faculty and Industry Experts.

Admission Process

Candidates can apply to this PG Program in Data Analytics in 3 steps. Selected candidates receive an offer of admission.

Submit Applications

Tell us about yourself and why you want to do a PG Program in Data Analytics

Application Review

An Admission Panel will shortlist candidates based on their application

Admission

Selected candidats can start the Data Analytics Program within 1-2 weeks

Career Support

Get Industry ready with Dedicated our Career Support

Career Couselling
Resume Feedback
Interview Preparation
Job Assistance

Frequently asked questions

Why should I study Data Analytics?

Everything is data-driven these days, from market research and sales figures to expenses and logistics. This program aims to produce well-rounded data analyst with in-depth knowledge and expertise in relevant tools/languages and understanding of cutting-edge algorithms and applications. Besides, the pay scale offered in this sector is driving the learners to choose this sector as their career options. This domain offers one of the highest-paid job roles in the country. Data Analytics course is one of the most sought-after programs in this domain.

What are the minimum eligibility criteria for the program?

No technical background needed. However you need to be a graduate or pursuing graduation in any field.

What is the time commitment for the program?

A time commitment of 8 to 10 hours per week on an average is recommended to complete the program successfully.

Will I receive career assistance and support after the program completion?

Mentoring on how to make the best resume for a data professional, highlighting technical and domain expertise. Data Science interview preparation and mentoring by industry experts and provide job assistance at the end of the program.

Do I get to interact with Industry Experts during the program?

Yes, there will be live online interactive sessions with LSBF faculty and industry experts.

Is there any financial support provided for the program?

To ensure no barrier in the path of your learning, we offer financing options with our partner company Financepeer to help you make this Data Analytics program more financially manageable.

What certification will I get after the course?

Upon successful completion of the program, you will be awarded with industry-recognized Advanced Certification in Data Analytics from E&ICT Academy, LSBF.

What is the job prospect after the completion of this program?

Industries are rapidly moving towards a data driven decision making, hence, there is a huge demand for experts in Data Analytics. Professionals are working across various industries such as Retail, Banking and Manufacturing. After the completion of the course, learners can excel in roles such as - analyst, analytics manager, director of analytics, or even chief data officer, and many other rewarding opportunities.