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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery	Frequency Of Classes
English	Self Study, Virtual Classroom	Video and Text Based	Weekends

Course Overview

This PGP In Business Analytics training is designed for those who want to understand business challenges through the lens of data science. The certification is ideal for anyone with a variety of educational disciplines who have no existing experience of programming knowledge or talents.

The PGP In Business Analytics online course teaches about the fundamentals of topics such as statistical modeling, machine learning, artificial intelligence, and text mining as they apply to real-world business challenges and are utilized by business managers in a variety of sectors.

INSOFE and Case Western Reserve University jointly certify the PGP in Business Analytics. Candidates will be required to conduct projects and write brief research papers on serious problems as part of the curriculum, in cooperation with peers and under the supervision of course coaches. The PGP In Business Analytics certification program will prepare students to give forecasts and consulting solutions to businesses via the use of data science concepts in making business decisions.

The Highlights

Course provider INSOFE
Offered by Case Western Reserve University
World-class faculty
Joint certification by INSOFE & CWRU
Online learning
Assessment and projects
Practical knowledge
Hands-on experience

Programme Offerings

Live Lectures
assessments
Viva
Research
lab exercises
Capstone Projects
quizzes

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	CWRUInsofe

PGP In In Business Analytics Fees

Particulars	Amount in INR
Program fees	Rs. 2,50,000 + 18% GST
Admission Fees	Rs. 50,000 + 18% GST (Non-refundable)
First installment	Rs. 1,00,000 + 18% GST
Second installment	Rs. 50,000 + 18% GST
Third installment	50,000 + 18% GST

Eligibility Criteria

Students holding a bachelor's degree in any subject may apply for this Postgraduate program certification.

Certification Qualifying Details

To qualify for the PGP In Business Analytics certification, candidates will have to attend all lectures and complete the course syllabus. Learners will also have to submit all the assessments and capstone projects along with participating in the lab exercise, research, viva, quizzes, and other classroom activities.

What you will learn

Programming skillsData science knowledgeKnowledge of Excel

After completing the PGP In Business Analytics certification course, Candidates will gain knowledge of Monte Carlo simulations, linear programming, and genetic algorithms, as well as hands-on experience with KNIME and Excel as well as the fundamentals of R and Python while also starting to construct useful data science pipelines. Learners will also study very strong supervised learning algorithms, including Naive Bayes classifier, Linear Regression, and Logistic Regression, which are utilized to address issues in Classification and Prediction.

Who it is for

Data AnalystBusiness AnalystMarket Research Analyst

Candidates who want to become Data Analyst, Operations Analyst, Business Analyst, Customer Analyst, Data Consultants, Healthcare Analyst, and Market Research Analyst can enrol in the PGP In Business Analytics course.

Admission Details

To get admission to the PGP In In Business Analytics online training, follow the steps mentioned below:

Step 1. Follow the URL given below to visit the official course page

(https://www.insofe.edu.in/certification/pgp-in-business-analytics.html)

Step 2. Fill in the application form with the required details and submit the application by paying Rs. 3,000.

Step 3. Candidates will have to pass the INSOFE admission exam INEX.

Step 4. Selected students will get an admission letter from the INSOFE.

The Syllabus

Basics of using Excel, R, and Python
Implement relevant data science pipelines.

The essential skill of ‘thinking like a statistician’
Hands-on sessions via Excel on Knime.

The process for building effective visualizations through Excel.

Powerful supervised learning methods, viz., Linear Regression, Naïve Bayes classifier and Logistic Regression, which are used to solve problems in Prediction and Classification.

State of the art of data science, problem definition, data strategy, performance metrics, and productionization strategies.
Develop a blueprint of the solution for a problem of choice at the end of the course.

Concepts such as association rules, decision trees, clustering, artificial neural networks, text mining, and text classification
Hands-on sessions using Azure ML Studio or KNIME.

Linear programming, monte carlo simulations, and genetic algorithms
Hands-on sessions using Excel and KNIME.

Engage with Big data technologies, IoT architecture and applications, Blockchain fundamentals, Cloud Infrastructure, and Advanced AI to understand key trends and innovations across Capital Markets, Healthcare, and Digital Supply chain industries.