Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Virtual Classroom | Video Based | Weekends |
Course Overview
The Post Graduate Certificate in Data Analytics & Business Intelligence online course is a study about the various patterns and their association with data sets in data analytics and business intelligence. The course is provided by the BSE Institute in collaboration with the Indian Institue of Technology Patna. The course is held for one year consisting of two semesters. The students are expected to spend three hours for every session on the weekends.
The postgraduate online program is focused on the significant principles for business development. The course engages the students with theoretical and practical learning of the strategies and techniques involved in data analytics. The course is led by the faculty of the Indian Institute of Technology Patna. This course is designed for professionals to improve their skillset for business management. The Post Graduate Certificate in Data Analytics & Business Intelligence training program provides the students with a course certificate after completion of training.
The Highlights
- Online mode
- One year program
- Three-hour session
- IIT Patna faculty
- Dual certification
- Flexible installments
Programme Offerings
- Course Modules
- video lectures
- IIT Faculty
- assessments
- Course completion certificate
- Fee Installments
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | IIT PatnaBSE Institute Limited, Mumbai |
The students should pay the application fee and course fee to join the ‘Post Graduate Certificate in Data Analytics & Business Intelligence’ classes.
Post Graduate Certificate in Data Analytics & Business Intelligence fee structure
Pre-enrollment Fee | Rs 5500 |
Total Course Fee | Rs 1,29,800 |
Initial downpayment | Rs 54680 |
First installment | Rs 35,310 |
Second installment | Rs 35,310 |
Eligibility Criteria
The students who wish to apply for the ‘Post Graduate Certificate in Data Analytics & Business Intelligence’ online program should have graduated from any of the recognized universities and the preferred domains include bachelors and masters in computer applications, economics, engineering, and mathematics. The course is also suited for freshers.
Certificate qualifying details
The students of the ‘Post Graduate Certificate in Data Analytics & Business Intelligence’ online training will receive the dual certification by BSE Institute and Indian Institute of Technology Patna after completion of the program.
What you will learn
The Post Graduate Certificate in Data Analytics & Business Intelligence syllabus is framed for the students to learn about the nuances of business analytics and insights into data-driven technologies. The course helps the students to understand the statistics involved with the analytical skills for business development.
Who it is for
The Post Graduate Certificate in Data Analytics & Business Intelligence online course is targeted at the graduates and freshers of the industry who wish to learn about the analytics tools and techniques to manage data.
Admission Details
The admission for the ‘Post Graduate Certificate in Data Analytics & Business Intelligence’ course is done online through the course website.
Step 1: Find the course page using the link below,
https://www.bsebti.com/bilx/programs/data-analytics-business-intelligence-online-course
Step 2: Click on the ‘’Apply Now’ button
Step 3: Pay the course fee and send in the application form.
Step 4: The students are selected based on their qualifications and work experience.
Application Details
The application form for the ‘Post Graduate Certificate in Data Analytics & Business Intelligence’ online program can be downloaded and filled for course admission. The students have to fill in their name, email address, mobile number, city, and work experience for registration. The students will have to send their semester graduation mark sheets and work experience certificates for evaluation by the admission committee.
The Syllabus
Introduction to Analytics
- Introduction to Business Analytics
- R for Data Science
- Introduction to R and R Studio
- Dealing with Data Using R
- Visualization Using R
- R-Markdown
- Missing Value Treatment
- Exploratory Data Analysis Using R
Business Finance
- Fundamentals of Finance
- Finance as a Function
- Financial Management Decisions
- Financial Statement Analysis Using Financial Ratios
- Working Capital Management
- Understanding the Concepts of Working Capital
- Operating and Cash Operating Cycle of a Firm
- Investment and Financing of Working Capital
- Capital Budgeting
- Discounted Cash Flow
- Time Value of Money
- Net Present Value
- Making Capital Investment Decision
- Capital Structure
Marketing and CRM
- Core Concepts of Marketing
- Segmentation, Targeting & Positioning
- Marketing Mix
- Customer Life Time Value
- Customer Relationship
- Management Framework
- Consumer Behaviour
- Regency, Frequency & Monetary Analysis
- Computation of CLTV
Fundamental concepts
- Linear algebra
- Data structures
- Python
Statistics 1
- Descriptive Statistics
- Data Collection, Presentation, and Visuals
- Measures of Central Tendency and Dispersion
- Five Number Summary, Box Plots
- Correlation
- Introduction to Probability
- Conditional Probability
- Bayes Theorem
- Probability Distribution
- Continuous Distributions
- Normal Distributions and Its Applications
- Central Limit Theorem
- Discrete Distributions
- Poisson’s Distribution and Its Applications
- Binomial Distribution and Its Applications
- Hypothesis Testing and Estimation
- Basics of Hypothesis Testing
- Null and Alternate Hypothesis
- Type 1 and Type 2 Errors
- Test of Proportions
- Test of Means
- T- Testing: One-Sample, Two Samples, Paired
- Applications of Hypothesis Testing
- Goodness of Fit
- Chi-Square Test of Independence
- Case Study: Hands-On Using Python/R
Statistics II
- Analysis of Variance
- Regression Analysis
- Simple Linear Regression
- Ordinary Least Sum of Squares
- Simple Linear Regression: Assumptions & Evaluation
- Basics of ANOVA
- One Way ANOVA
- Applications of ANOVA
- ANOVA with Interaction Effects
- Two Way ANOVA
- Dimension Reduction Techniques
- Requirement for Dimension Reduction
- Principal Component Analysis
- Factor Analysis
- Case Study: Hands-On Using Python/R
Time series
- Introduction to Time Series
- Examples
- Time Series Objects in R/Python
- Trends and Seasonality Variation
- Decomposition of Time Series
- Correlation
- Autocorrelation
- Partial Autocorrelation
- Interpretation of ACF and PACF
- Forecasting
- Exponential Smoothing
- Holt-Winters Method
- Auto-Regressive (AR) Models
- Autoregressive Moving Average(ARMA) Models
- Non-stationary time series
- Coefficient estimation in ARMA (p,q) processes
- Autoregressive Integrated Moving Average (ARIMA) Models
- Forecasting in the framework of the Box-Jenkins model
- Case Studies
- Forecasting Case Studies in Different
- Causality in time series
Optimization
- Linear Programming
- Goal Programming
- Integer Programming
- Mixed Integer Programming
- Non-Linear Programming
- Non-convex optimization
Machine Learning I
- Regression
- Classification
- Case Study: Hands-On Using Python/R
Machine Learning II
- Clustering
- Association mining
- Bayesian concepts
- Applications: Recommendation System
- Case Study: Hands-On Using Python/R
Deep learning
- Neural network
- Backpropagation
- Regularization & optimization
- CNN, RNN, Self Organized Maps
- Advanced topics
- Case Study: Hands-On Using Python/R
Tools and techniques of data visualization and communication
- Design effective Dashboards for specified Departments using Excel
- Have a grip on Tableau Worksheet functionalities.
- Perform Data Manipulation and custom calculation in Tableau
- Tell Stories with Data
- Design effective slide presentations to showcase your data story
- Deliver compelling business presentations
- Importing Data into Tableau
- Creating Graphs
- Creating Sets and Performing Custom Calculations in Tableau
- Using R in Tableau
- Creating Dashboard
Marketing and retail analytics
- Marketing and Retail Terminologies: Review
- Customer Analytics
- KNIME
- Retail Dashboards
- Customer Churn
- Association Rules Mining
Web and Social media analytics
- Web Analytics: Understanding the Metrics
- Basic & Advanced Web Metrics
- Google Analytics: Demo & Hands-On
- Campaign Analytics
- Text Mining
Finance and Risk Analytics
- Why Credit Risk-Using a Market Case Study
- Comparison of Credit Risk Models
- Overview of Probability of Default (PD) Modeling
- PD Models, Types of Models, Steps to Make a Good Model
- Market Risk
- Value at Risk: Using Stock Case Study
- Fraud Detection
Supply chain and logistics
- Introduction to Supply Chain
- Dealing with Demand Uncertainty
- Inventory Control & Management
- Inventory Classification Methods (EOQ)
- Inventory Modeling (Reorder Point, Safety Stock)
- Advanced Forecasting Methods
- Procurement Analytics
IIT Patna Frequently Asked Questions (FAQ's)
The course is offered by the BSE Institute in association with the Indian Institute of Technology Patna.
The course will take one year to complete.
The course requires the students to be graduates from any recognized university.
Yes, you can pay the course fee in two installments after paying the initial downpayment.
Yes, you will receive the dual certification from BSE Institute and IIT Patna.