get app
    Download Careers360 App

    Post Graduate Certification Program in Business Intelligence and Analytics

    BY
    EduBridge

    Brochure Enquire
    Mode

    Online

    Fees

    ₹ 28500

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study, Virtual Classroom
    Mode of Delivery Video and Text Based
    Frequency of Classes Weekdays
    Learning efforts 12-15 Hours Per Week

    Course and certificate fees

    Fees information
    ₹ 28,500
    certificate availability

    Yes

    certificate providing authority

    EduBridge

    The syllabus

    Term-1: Foundation

    Foundation course in BI & 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
    Statistics for decision making
    • 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

    Term-2: Predictive Analytics

    Introduction to predictive analytics
    • Case Study
      • - Data Pre-processing in R
    • Case Study 2
      • - K-means cluster analysis for Indian liver
    • Case Study 3
      • - Sales prediction
    • Case Study 4 - Parkinsons Data
      • -Random Forest Approach
    • Case Study 5 - Classification model for thoracic surgery data
    Simple Linear Regression (SLR)
    • Case-let Overview
    • Introduction to Regression
    • Model Development
    • Model Validation
    • Demo using Excel & SPSS
    Multiple Linear Regression (MLR)
    • Multiple Linear Regression
    • Estimation of Regression Parameters
    • Model Diagnostics
    • Dummy, Derived & Interaction Variables
    • Multi-collinearity
    • Model Deployment
    • Demo using SPSS
    Logistic Regression
    • Discrete choice models
    • Logistic Regression
    • MLE Estimation of Parameters
    • Logistic Model Interpretation
    • Logistic Model Diagnostics
    • Logistic Model Deployment
    • Demo using SPSS
    Decision Trees & Unstructured DA
    • Introduction to Decision Trees
    • Chi-Square Automatic Interaction
    • Detectors (CHAID)
    • Classification and Regression Tree (CART)
    • Analysis of Unstructured data
    • Naive Bayes algorithm
    • Demo using SPSS
    Forecasting and Time series Analysis
    • Forecasting
    • Time Series Analysis
    • Additive & Multiplicative models
    • Exponential smoothing techniques
    • Forecasting Accuracy
    • Auto-regressive & Moving average models
    • Demo using SPSS
    Machine Learning Overview
    • Types of Machine Learning Algorithms
    • Supervised Learning Algorithms
    • Unsupervised Learning Algorithms
    • Implement and demonstrate the
    • FIND-S algorithm
    • Candidate-Elimination algorithm
    • ID3 algorithm
    • Backpropagation algorithm
    • naïve Bayesian classifier
    • Bayesian Network
    • k means algorithm
    • k-Nearest Neighbour algorithm
    • Locally Weighted Regression algorithm

    Term-3: Business Intelligence tools

    Introduction to data visualization
    • Introduction to data visualization
    • Bar chart
    • Pie chart
    • Stacked area chart
    • Line chart
    • Histogram
    • Scatter Plot
    • Combo Plots-Part 1-Scatter and trendline (Regression Plot)
    • Combo Plots-Part 2-Bar and Line
    Data warehouse-introduction
    • Business Intelligence
    • General concept of Data Warehouse
    • Dimensional modelling
    • ETL and Metadata
    • Online Analytical Processing (OLAP)
    • Data Mining
    • Data Modelling for Business Intelligence
    • Introduction to Data Modelling
    • Understanding Business Requirements
    • The Data Life cycle
    • Conceptual Model
    • Logical Model
    Informatica
    • Working with Flat Files
    • Overview Flat File Properties
    • Mapplet
    • Workflow Schedule
    • Update Strategy Transformation
    • Sequence Generator Transformation
    • Additional Transformations
    • Reusable Transformations
    • SQL transformation
    Datastage
    • Introduction to IBM IIS and Datastage
    • Introduction to IBM IIS
    • Datastage runtime Architecture and various stages
    • Platform Architecture
    • Standard data transformation Techniques
    • Transforming Data
    • Metadata in the Parallel Framework
    • Explain and Create schemes
    Microsoft Power BI
    • Introduction to Power BI
    • Power BI Desktop & Data Transformation
    • Data Analysis Expressions (DAX)
    • Data Visualization
    • Power BI Service,Q&A, and Quick Insights
    • Connectivity Modes
    • Power BI Report Servers
    • Using R & Python in Power BI
    • Advanced Analytics In Power BI
    Data visualization with R
    • Create basic bar charts, histograms,pie charts, scatter plots, line plots, box plots, and maps using R and related packages.
    • Customize charts and plots using themes and faceting.
    • Create maps using the Leaflet package for R.
    • Create interactive dashboards using the Shiny package for R.
    Introduction to SAS
    • Module Introduction
    • SAS- Overview
    • SAS Studio
    • SAS- Program Structure
    • SAS: Data Sets
    • SAS: Variables
    • Lab Activity Time- SAS Variables
    • SAS: Arrays
    • Lab Activity - SAS Strings & Arrays
    • SAS: Numeric Formats
    • SAS: Operators
    • Lab Activity Time- SAS Operators
    • SAS: Loops
    • SAS: Decision Making
    • SAS: Input Methods
    • SAS Macros
    • Lab Activity Time- SAS Macros
    • SAS: Date & Time
    • SAS: Reading Raw Data
    • SAS Reading & Writing Data Sets
    • Concatenate Data sets
    • SAS: Merge Data sets
    • SAS: Subsetting Data sets
    • SAS: Sorting Data sets
    • SAS: Format Data sets
    • Lab Activity Time-SAS Merge, Concatenate, Sub-setting, Sorting,
    • Format Data Sets
    • SAS: SQL
    • SAS: Output Delivery System
    • SAS: Simulations
    • SAS: Data Visualization
    • Lab Activity Time-SAS Data Visualization
    • SAS: Enterprise Guide
    • Visual Analytics
    • JMP
    Tableau
    • Introduction to Visualization and Tableau
    • Tableau essentials
    • Creating visualizations in Tableau
    • Filter groups and sets
    • Formulas in Tableau
    • Level of detailed expressions
    • Optimizing tableau performance
    • Advanced visualization in Tableau
    • Connecting to different data sources
    • Hands-on with Tableau

    Term-4: Applications of Business Analytics

    Introduction to Big Data
    • Introduction to Big Data
    • Characteristics of Big Data
    • Hadoop Architecture
    • Hadoop Components
    Big Data Analytics
    • Introduction to MapReduce
    • MapReduce with Java
    Marketing and retail analytics
    • Marketing and retail terminologies
    • Customer Analytics
    • KNIME
    • Retail Dashboard
    • Customer Churn
    • Association rules mining
    Web and social media analytics
    • Web analytics understanding the matrix
    • Basic and advanced web matrix
    • Google analytics
    • Campaign Analytics
    • Text Mining
    Supply Chain & Logistics Analytics
    • Introduction to supply chain
    • RNN and its mechanism
    • Designing optimal strategies
    • Inventory control and management
    • Inventory classification
    • Inventory modeling

    Trending Courses

    Digital Marketing Courses Fashion Design Courses Data Science Courses Interior Design Courses Graphic Designing Courses Cyber Security Courses Nursing Courses Tally Courses Data Analysis Courses Web Designing Courses Artificial Intelligence Courses Ethical Hacking Courses Free Digital Marketing Courses And certifications Free Artificial Intelligence Courses And Certifications Free Data Analysis Courses And Certifications Free Cyber Security Courses And Certifications Free Data Science Courses And Certifications Free Cloud Computing Courses And Certifications Free Python Courses And Certifications Free Fashion And Textiles Courses And Certifications Free Graphic Designing Courses And Certifications Free Web Designing Courses And Certifications

    Popular Courses

    General Management Courses Public Health Courses Teaching and Education Courses Financial Management Courses Web Development Courses Mathematics Courses Cyber Security Courses Programming Courses Data Science Courses Digital Marketing Courses Law Courses Mechanical Engineering Courses Explore all courses

    Popular Platforms

    upGrad Courses Udemy Courses Edx Courses Swayam Courses Coursera Courses NPTEL Courses Futurelearn Courses Mindmajix Technologies Courses Vskills Courses IIT Kharagpur Courses Emeritus Courses IIT Kanpur Courses Explore all platforms

    Learn more about the Courses

    10 Reasons to Enrol Yourself in a Digital Marketing Course 8 Must-Have Skills for AWS Cloud Architects Planning to Upskill Yourself? Enrol for a Program in Data Science 25+ Tips for Improving Your Graphic Design Skills Top Universities in India Offering Cyber Security Courses 15+ Courses for Learning Data Mining How to Make a Career in the Field of Artificial Intelligence Top 10 Benefits Of Holding A Certification In Business Intelligence Which are the best certification courses for Photography in India A Beginner's Guide to Pursue Python Programming Want to Pursue a Career in Blockchain Technology? Here is all that you need to Know How Entrepreneurs Can Use Machine Learning to Make their Business Successful? The Scope of Artificial Intelligence in India Top 10 Online Courses for Travel Lovers 10 Best Certification Courses After Hospital and Healthcare Management
    Providers
    Close
    Download Careers360 App
    All this at the convenience of your phone

    • Regular Exam Updates

    • Best College Recommendations

    • College & Rank predictors

    • Detailed Books and Sample Papers

    • Question and Answers

    google play
    students
    400M+ Students
    Colleges
    36K+ Colleges
    Exams
    500+ Exams
    eBooks
    3K+ eBooks
    Certification
    16K+ Certifications
    mobile