Business Analytics course with Certification from IMS Proschool & NSDC

Learn Business analytics from IMS Proschool, the 4th Best Institute in India, Ranked by Analytics India Magazine (2018).

Features

Joint certification from IMS Proschool and NSDC with optional certification from NSE Academy

Top-ranked institute by Analytics India Magazine for the last 4 years

Get Trained by Industry experts

Active Learning Methodology

Learn tools like Python, R, SQL & Tableau

Batches on demand

Study Options

Classroom Program

15 weeks program (weekends)
Get Trained by Industry experts
18 Case studies
Online study material
Innovative hands-on learning methodology
Video Lectures
Course Fee : ₹ 50,000 (All Inclusive)

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Live Virtual Classroom

Audio – Video enabled 15 weeks Live & Interactive training program on Business Analytics.
Learn from the industry experts at an affordable cost.
Clear your subject doubts face-to-face with experts
Get recorded sessions for future reference.
Interact with your peers while learning
No travel, save time – Study in the comfort of your home with a broadband connectivity
Course Fee : ₹ 35,000/- (All Inclusive)

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Attend a free seminar

Proschool organizes weekly seminar in all the major cities of India. These informative seminars on Business Analytics are conducted by expert faculty and industry professionals.

Check the schedule for seminar here:

26^th January at Hyderabad Centre
9^th February at Thane Centre

About Business Analytics

Business Analytics (BA) and its related terms such as Business Intelligence, Big Data, Data Mining,Data Science, etc. have become a powerful tool for growth in the 21st Century. Accenture report of January 2019 says India can add $1.97 trillion in GDP growth if it can bridge skill gap in advance technologies such as Business Analytics and Artificial Intelligence.

Business Analytics is “the extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions.” It is a combination of :

1. Techniques: Predictive Analytics, Data Exploration, Clustering, Classification.

2. Tools: Excel, Python, R, Tableau & SQL.

3. Applications: in Retail, Finance, Telecom etc.

Learn more about analytics CLICK HERE

Course Outline

Statistical Techniques

Different types of data
Data summarization
Frequency table
Frequency Distributions
Histogram
Measures of central tendency and dispersion
Skewness and kurtosis
Basic Probability, Conditional Probability
Normal Distribution
Sampling methods
Point and Interval estimation
Central Limit Theorem
Null and alternative hypothesis
Level of significance
P value
Types of errors
Hypothesis Testing

Regression Techniques

Linear and Multiple Linear Regression

Simple and Multiple Linear Regression
R2 and Adjusted R2
ANOVA
Interpretation of coefficients
Dummy Variables
Residual Analysis
Outliers

Logistic Regression

Assumptions
Logistic Function
Chi-Square
Hosmer Lemeshow test
Kolmogorov-Smirnov statistic and chart
Classification Table
Interpreting Coefficients
Dependent Variable Prediction

Predictive Analytics

Applied Machine Learning

Tools

Excel

Formatting of Excel Sheets
Use of Excel Formula Function
Data Filter and Sort
Charts and Graphs
Table formula and Scenario building
Lookups
Pivot tables

Python & R

Reading and Writing Data
Data types
Important Packages
Data Manipulation
Building models using learned algorithms
Evaluating and optimizing models

Tableau – (Data Visualization tool)

Extracting data into Tableau
Data Preparation, Dimensions
Transformation of variables
Creating Views
Working with charts
Exporting visualisations

SQL – Introduction to Databases

Terminologies – Records, Fields, Tables
Introduction to database
Introduction to SQL
SQL Syntax
SQL data Types
SQL Operators
Table creation in SQL- Create, Insert, Drop, Delete and Update
Table access & Manipulation
Select with Where Clause (In between, logical operators, wild cards, order, group by)

Concepts of Join – Inner, Outer

Project

Projects let you apply what you’ve learned in Business Analytics course to a practical problem. In project, you will be given a problem statement and the relevant data. You will apply various algorithm techniques to find an optimum solution to the problem.

Once you’ve completed the project, you’ll be better able to apply analytical techniques to a business case and accordingly prepare a detailed report.
In case you don’t have any relevant experience in Analytics, this project will enable you to showcase your expertise in a job interview.

Exams & Certifications

Certification Process

Location

NORTH

WEST

SOUTH

Also available ONLINE

FAQs

How is the Proschool program of Business Analytics (BA) different from those of other training providers?

Our course has been devised with a lot of thought with respect to the number of hours required to comprehensively understand a particular tool or technique. At the same time, we have done extensive research on the most common tools and techniques that are applied in the industry to enable “Industry-Readiness” on course completion. The experiential approach of the course blends academic content with hands-on application to ensure that students are comfortable with both.

Is there any pre-requisite for the course?

No, the course has been designed so that all participants can build their knowledge from basic concepts to advanced applications. For example, Linear Regression starts with the concept of mean and variation followed by correlation. Regression is then explained via Correlation followed by Interpretation of Regression results. Any knowledge of Math and Statistics will be helpful to the participants. Also comfort with data and its various formats will be an added bonus.

How is Business Analytics different from IT or programming?

IT or programming deals with processes. Business Analytics deals with data. As a part of a programming team you will try and automate processes. A lot of these automated processes now generate huge amounts of data. This data is now the focus of Business Analytics. BA gains insights from these data to get an edge. A lot of IT processes such as Project Management are getting automated so demand in the sector is going to stagnate in the long run. At the same time, data is increasing exponentially, consider this: From the beginning of recorded time until 2003, the world had created 5 Exabytes of data. In 2011, the same amount was created in 2 days. In 2013, the world produced the same amount of data was created in just 10 minutes. IDC estimates that Data creation will reach 163 zettabytes by 2025. Hence the demand for BA professionals will continue to increase.

Will Business Analytics help me in consulting as well?

Most of the consulting profiles involve analysis of data to drive future business plans and strategy. Business Analytics will clearly give you an edge in your analytical and data handling capabilities.

I am pursuing an MBA, how will Business Analytics help me?

If you are pursuing an MBA and want to make a career in Analytics, Consulting, Finance or Marketing then BA will be helpful to you. This course will make you comfortable with data and data analysis along with popular analytical tools such as MS-Excel, R and Python. It will give you the desired exposure to various domains thus creating a well-balanced outlook on data usage. Lastly, it will also help you to improve your profile vis-à-vis other candidates of your institute.

I have completed my graduation in Engineering, how will Business Analytics help me?

Typically, engineers are already conversant with basic IT tools and data structures. As an engineer, you can exploit this advantage and bolster it with techniques and domain knowledge from our course. If you are interested in a career in Analytics or Market Research or Finance, then data analysis can be handy.

I have work experience in the IT sector. How will Business Analytics help me?

A lot of IT professionals find Business Analytics more exciting. Along with this, the demand for Business Analytics professionals is growing whereas the demand for IT professionals is stagnating. Business Analytics hence may be a good career shift for you. Also, familiarity with IT leads to a better understanding of data leading to improved data analysis.

Reviews

“IMS Proschool has really helped me by providing me the best of the learning experience. It has guided me step by step to improve and guide me to lead to my success path. Thank you IMS Proschool for all the help.”

G. Venu Madhav

“Great experience learning in IMS Pro School.. Faculty are well experience in there are of interest and they are from well known corporate industry.. Business Analytics practice knowledge with live case study.”

Priyanka Rajput

IMS Proschool helped me to reach my goal through a comprehensive coursework with interesting as well as engaging projects, experienced faculty who work in the analytics industry and commendable infrastructure.

Sanjay Singh

“I would recommend the Business Analytics course from Proschool to everyone as it covers every concept right from the basics with practical application. Our faculty was very supportive & knowledgeable. It was a great experience learning at Proschool.”

Aniket Hade