

Program on
Full Stack
Business
Analytics
Developing Future-Ready Professionals in
Business Analytics
Business Analytics



Full Stack – Business Analytics
Overview
In this digital age, the scope of Business Analytics as a career has grown immensely. To meet the inevitable demand for skilled and equipped Business Analytics professionals, KPMG in India and L& T Edu Tech have designed a training program in data analytics.
This training aims at providing hands-on and practical experience in understanding Business Analytics concepts using tools such as SAS, R, Excel, Power Bl, Tableau and many more. The concepts covered in this program will enable the participants to clean and analyze data, build models for prediction, create interactive charts and graphs, and learn about practical applications in the industrial context.
Full Stack – Business Analytics
Value Propositions
Full Stack – Business Analytics
Courses in Stack
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Fundamentals Of Business Analytics
Tools
Excel
Duration
30 hrs.
Job Prospects
- Business Analyst
- Strategy Analyst
- MIS and Reporting
Course Overview
Business Analytics courses intend to illustrate the use of data and strengthen your analytical skills required for informed decision-making in business. Beginning with problem-solving techniques, action planning and data connections, the course is aimed at developing strong foundational skills required for business analysts in the areas of spreadsheet modeling, data wrangling and visualization using Microsoft Excel.
Course Modules
- Introduction to Business Analytics
- Problem Solving Techniques
- Spreadsheet Modelling
- Data Wrangling and Visualization Using Excel
Learning Outcomes
- Understand analytical decision-making processes
- Learn how to frame solutions for business problems
- Use Excel to analyze data and create data models
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Statistics For Business Analytics
Tools
Excel
Duration
30 hrs.
Job Prospects
- Business Analyst
- Quantitative Research Analyst
- Statistician
Course Overview
This course aims at preparing learners to use various statistical tools and quantitative techniques in order to make better business decisions. Many tools for statistical analysis have emerged and are becoming more sophisticated, powerful and user-friendly. Statistical analyses play a critical role in business decision-making. The goal of this course is to prepare learners to get in-depth knowledge of the required mathematics for business analytics.
Course Modules
- Introduction to Descriptive and Inferential Statistics
- Basics of Probability
- Hypothesis Testing
- Mathematics for Business Analytics
Learning Outcomes
- Use inferential and descriptive statistics to make business decisions
- Use basic statistical concepts on multiple types of data
- Understand the causation in data using test of hypothesis
- Understand relevant mathematical concepts
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Tools For Business Analytics
Tools
SAS, R, Orange
Duration
30 hrs.
Job Prospects
- SAS Consultant
- Data Analyst
- Business Intelligence Consultant
Course Overview
This course is specially designed to empower learners with relevant knowledge on the tools required for performing business analytics. The program provides an in-depth understanding of the working of key tools for business analytics including SAS, R Programming and Orange.
Course Modules
- Business Analytics Using SAS
- Data Analysis Using R
- Business Analytics Using Orange
Learning Outcomes
- Use R Packages for Data Analysis and Data Modelling
- Use SAS platform for Data Analysis, Visualization and building models
- Use Orange tool for Data Analysis and Data Modelling
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Data-Driven Storytelling and Visualization
Tools
Tableau, Power Bl, Google Studio
Pre-Requisite
Knowledge of Excel
Duration
30 hrs.
Job Prospects
- Business Intelligence Consultant
- Reporting Analyst
- Tableau Developer
- Power Bl Developer
- Insight and Visualization Analyst
Course Overview
Data Storytelling has become the foundation for modern and evolving businesses that put customers at the centre to create impactful data visualizations, drive decisions and build strong networks. This course enables learners to understand the fundamental concepts of data storytelling and the skills required to engage a niche audience successfully and enable data-driven decision making.
Course Modules
- Data Visualization Using Tableau
- Data Visualization Using Power Bl
- Data Visualization Using Google Studio
Learning Outcomes
- Learn how to import data from various data sources
- Understand how to pre-process data for visualization
- Learn design principles and techniques
- Prepare KPI and score cards
- Create dashboards and story cards
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Predictive Modelling
Tools
SAS, R, Orange
Duration
30 hrs.
Job Prospects
- Data Analyst
- ML Model Solution Expert
- Data Scientist
- NLP Expert
Course Overview
Predictive Modelling is a vital part of predictive analytics that most modern businesses use to drive and deliver better and more consumer-centered processes. Predictive Modelling enables organizations to predict future outcomes by analysing existing sets of data. During this course, learners will gain a solid understanding of Predictive Modeling techniques such as Machine Learning, Natural Language Processing, Text Analysis, etc.
Course Modules
- Regression Predictive Models
- Classification Predictive Models
- Social Media and Text Analysis
- Time Series Forecasting
Learning Outcomes
- Build Linear Regression models
- Build Classification models using Logistic Regression and Decision Tree
- Use ARIMA models for time series forecasting
- Perform Sentiment Analysis using Orange
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Applied Business Analytics
Tools
SAS, R, Orange
Duration
30 hrs.
Job Prospects
- Marketing Analyst
- Financial Analyst
- HR Analyst
- Supply Chain Consultant
Course Overview
Applied business analytics enables businesses to analyse large datasets and derive relevant information to solve persisting problems. Business analytics skills are in demand by employers across advancing technology- and customer-centric organizations that want to increase efficiency, revenue and productivity. In this course, learners will understand how to study data and empower business leaders to use this data to drive better decision making.
Course Modules
- Marketing Analytics
- HR Analytics
- Supply Chain Analytics
- Financial Analytics
Learning Outcomes
- Learn how to segment customers based on similar attributes and forecast revenue generation from customers
- Use descriptive and inferential statistics to analyze HR data
- Predict employee turnover and performance
- Understand financial statistics, such as daily returns and cumulative returns
Full Stack – Business Analytics
Key Features
Full Stack – Business Analytics
Program Outcomes
Understand various analytical models for data-driven decision making by leveraging technology for Business Analytics
Communicate technical information and analysis results with the right visualization methods to both technical and non-technical business leaders
Demonstrate proficiency in business analysis methods and in data analytic tools
Become an expert in Data Modeling, Visualization and Predictive analysis
Develop data-driven solutions to support decision making in real-world business situations
Become a deployment-ready Business Analytics professional from Day 1
Understand various analytical models for data-driven decision making by leveraging technology for Business Analytics
Communicate technical information and analysis results with the right visualization methods to both technical and non-technical business leaders
Demonstrate proficiency in business analysis methods and in data analytic tools
Become an expert in Data Modeling, Visualization and Predictive analysis
Develop data-driven solutions to support decision making in real-world business situations
Become a deployment-ready Business Analytics professional from Day 1
Delivery Pedagogy


Full Stack – Business Analytics
For Whom
This program is offered to Graduating College Students as industry specialization stack / value added program. The program is also offered to entry level employees of leading companies.
Contact us
Address
L&T EduTech TCTC Building, 1st Floor Right Wing, Mount Poonamallee Road, Manapakkam, Chennai – 600089
Email Address
contact@lntedutech.com
Address
L&T EduTech
TCTC Building,
1st Floor Right Wing, Mount Poonamallee Road, Manapakkam,
Chennai – 600089,
Tamil Nadu.
1st Floor Right Wing, Mount Poonamallee Road, Manapakkam,
Chennai – 600089,
Tamil Nadu.
Email Address
contact@lntedutech.com
Reach out to us