PG In Business Analytics - Overview

The Postgraduate Course in Business Analytics is your stepping stone to mastering the intricate world of data-driven decision making. Our curriculum is meticulously designed to cover key aspects of Business Analytics, including its fundamental concepts, various analytical tools, and their application in the business environment. This course is a perfect blend of theoretical knowledge and practical skills, aimed at equipping you with the expertise to excel in the dynamic field of Business Analytics. Whether you’re a beginner or a professional looking to upgrade your skills, our course provides a learning path tailored to your needs. Our Business Analytics course is carefully designed to cover every facet of the subject. From understanding the basics of Business Analytics and its impact on business operations, to mastering advanced concepts like Predictive Modeling, Machine Learning, and Data Visualization, our curriculum ensures a comprehensive understanding of this crucial field in business. This course will empower you to make data-driven decisions, optimize business processes, and improve business performance. With the skills acquired from our course, you’ll be well-equipped to navigate the complex landscape of business analytics and drive strategic growth in your organization.

Course Specialities

  • Industry-Recognized Certification:

    Earn a certification from Edure upon successful completion of the course. This certification is a testament to your skills and knowledge, recognized by top companies worldwide.

  • Continuous Learning:

    Learning doesn't stop with course completion. We provide you with access to course materials and updates even after you've completed the course. This ensures that your knowledge stays updated with the latest trends and advancements.

  • Hands-On Learning:

    Our courses emphasise practical learning. You'll work on real-world projects and case studies, gaining hands-on experience in your chosen field.

  • Expert Faculty:

    Learn from industry veterans who bring their real-world experiences into the classroom, enriching your learning journey.

  • Flexible Learning Options:

    Choose from a variety of learning modes - online, offline, or blended - to suit your unique learning style and time constraints.

  • Career Support:

    Benefit from our extended support which includes interview preparation, resume building, and job placement assistance.

COURSE FEE
Amount Rs. 95000
(Incl. taxes)
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+91 97462 11123

Our courses are designed to ensure you gain technical proficiency, receive support, and get placement assistance for a successful transition into the professional landscape. Whether you're a beginner or an experienced professional, our courses will enhance your skills and make you industry-ready.

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Why Choose Us?

Edure's professional programs prioritise project-based learning, offering numerous benefits for aspiring professionals across various fields. Recognizing that theoretical knowledge alone is insufficient in today's rapidly evolving industries, our courses emphasise hands-on experience and real-world application of skills.

Flipped Classroom Learning:

Transform your learning experience with Edure's Flipped Classroom model. Access pre-recorded sessions at your convenience, revisit materials as needed, and foster an environment conducive to effective self-paced learning.

Project-Based Learning:

Reinforce your theoretical knowledge through hands-on application with our Project-Based Learning approach. Engage in real-world projects and gain practical skills crucial in the dynamic industry of your choice.

Live Interactive E-Learning:

Experience dynamic and engaging education with Edure's Live Interactive E-Learning. Participate in real-time discussions in our integrated classrooms and enhance your understanding through interactive sessions conducted by experienced instructors.

Doubt Clearing Sessions:

Edure prioritises student success with dedicated Doubt Clearing Sessions. Seek clarification in real-time or access recorded sessions outside of class hours, ensuring a supportive and collaborative learning environment.

Pre-Placement Training:

Stand out in the competitive job market with Edure's comprehensive Pre-Placement Training. Equip yourself with essential skills and insights to enhance employability and bridge the gap between education and professional readiness.

Internship Opportunity:

Go beyond theoretical learning with Edure's valuable Internship Opportunities. Apply your acquired skills in real-world scenarios, supplement your academic knowledge, and ensure a holistic and industry-relevant education.

Whether you're just starting out or looking to upskill, our courses are designed to equip you with the skills you need to excel in your chosen field. Join us at Edure and start your journey towards becoming an industry-ready professional.

Certification

Certificate of Completion
certificate
  • Professional Validation: A certificate from our course serves as tangible proof of your proficiency in the field, validating your skills and expertise.
  • Career Advancement: Showcase your commitment to staying current with industry trends and technologies. This enhances your resume for potential job opportunities and career advancement in your chosen field.
  • Client Confidence: Displaying a certificate from our course instills confidence in clients and employers. It assures them of your ability to deliver robust and reliable solutions using the skills and knowledge you've gained from the course.

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Job Roles

As the field of Business Analytics continues to evolve, individuals with expertise in this area have a wide array of career opportunities across various industries and job roles. Here are some career paths:

Data Analyst:

An entry-level role that involves interpreting complex datasets to help businesses make decisions.

Business Intelligence Analyst:

Uses knowledge of business analytics to provide strategic insights for businesses.

Data Scientist:

Applies business analytics skills for predictive modelling and statistical analysis.

Machine Learning Engineer:

Uses knowledge of business analytics to create data-driven predictive models and algorithms.

Data Architect:

Applies business analytics knowledge to design, build and maintain the data architecture of an organization.

Business Analyst:

Uses knowledge of business analytics, along with other analytical tools, to improve the efficiency of an organization and solve business problems.

Chief Data Officer:

Uses knowledge of business analytics to guide the data team and make key decisions regarding data strategies and compliance.

These roles showcase the diverse career paths available to individuals with expertise in Business Analytics, ranging from specialized roles like Data Analyst to broader positions such as Chief Data Officer. The flexibility of skills in Business Analytics allows professionals to explore various avenues within the dynamic field of data-driven decision making. Whether you’re interested in data analysis, machine learning, or business intelligence, Business Analyticsffers a wide range of opportunities. Dive in and discover the power of Business Analytics with us!

OUR STUDENTS WORK AT

At Edure, our commitment to excellence is reflected in the impressive list of organizations where our students have found fulfilling placements.

PG In Business Analytics Course Details

Our Postgraduate Course in Business Analytics, your pathway to mastering the intricate world of data-driven decision making. Our curriculum is meticulously designed to cover key aspects of Business Analytics, including its fundamental concepts, various analytical tools, and their application in the business environment. This course also delves into more advanced topics like Machine Learning, Predictive Analytics, and Data Visualization. This course offers mix of practical skills and theoretical knowledge, preparing you to excel in the dynamic field of Business Analytics. It caters to both beginners seeking foundational knowledge and professionals aiming to enhance their skills, offering a learning path that is customised to fit your needs. By the end of this course, you will have a thorough understanding of Business Analytics and be able to use it effectively to handle tasks related to data analysis, optimize business strategies, and understand the complexities of decision-making in a business context.

What you will Learn

    Module 1: Introduction to Business Analytics

      Types of Business Analytics
    • Descriptive Analytics
    • Diagnostic Analytics
    • Predictive Analytics
    • Prescriptive Analytics
    • Role of a Business Analyst
    • Understanding Job Responsibilities
    • Skills Required
    • Career Pathway
    • Key Concepts in Business Analytics
    • Key Performance Indicators (KPIs)
    • Metrics and Dimensions
    • Segmentation and Cohorts
    • Benchmarking
    • Analytical Decision-Making
    • Data-Driven Decision-Making Process
    • Role of Intuition in Decision Making
    • Challenges in Making Decisions with Data
    • Ethics in Business Analytics
    • Privacy Concerns
    • Data Security
    • Ethical Use of Data and AI
    • Future Trends in Business Analytics
    • The Role of Artificial Intelligence in Business Analytics
    • The Impact of Big Data on Business Analytics
    • Predictive and Prescriptive Analytics

    Module 2: Statistics for Business Analytics

    • Introduction Data and Graphs
    • Probability
    • Normal Distributions
    • One Proportion:Z Test
    • Two Proportion: Z -Test
    • One Mean: Z-test, T-Test
    • Two Mean: T-Test
    • Confidence Intervals
    • Chi-Square Test
    • Correlation and Simple Linear Regression

    Module 3: Excel for Business Analytics

    • Data Analysis & Its Process
    • Exploring Data, Study the functions in Excel
    • Working with Excel Templates
    • V Lookup & H Lookup
    • Conditional Selection And Logical Operators
    • Data Validation, What if Analysis
    • Pivot Table Analysis
    • Data Modeling in Excel
    • Exploring data in Power query
    • Working data with Power Pivot
    • Data Visualisation Histogram and Getting Pareto Chart
    • Merging & Appending Data sets
    • Macros in Visual Basic For Application
    • Solving Linear Optimization Problems Using Excel Solver

    Module 4: Python for Business Analytics

    • Introduction to Python Programming
    • Python Programming Marketplace
    • Anaconda Environment Setup
    • Python Syntax
    • Variables
    • Datatypes
    • Operators
    • Conditional Statements
    • Loops in Python
    • Inbuilt functions overview
    • User-Defined Functions
    • Dive into Object Oriented Programming
    • Defining Classes & Objects
    • File Handling
    • Error Handling
    • Decorators & Generators
    • Modules & Libraries
    • GUI Applications with Tkinter

    Module 5: Data Visualization with Power BI

    • Introducing Microsoft Power BI Desktop
    • Data Connection in Power BI Desktop
    • Power Query Editing and M functions
    • Use groupings and binning
    • Grouping & Aggregation
    • Merging & Appending Queries
    • Data Modeling
    • Creating Table Relationship in Power BI
    • Different types of filtering
    • Drill down and Drill through Filters
    • Data Analysis Expression (DAX function)
    • Basic charts and Visuals in Power BI
    • Creating Interactive Dashboards
    • Preparing Summary Reports
    • Power BI Q&A Visuals
    • Key Influencer Visuals
    • Time Series Analysis and Forecasting Models
    • Custom Visualisation in Power BI

    Module 6: Data Visualization with SQL

    • Introduction to data and its relevance in the 21st century
    • Installing the required software for SQL
    • What is a database and why SQL?
    • Basic SQL queries [SELECT, AS, CONCAT]
    • Aggregate functions and scalar functions
    • Commenting your queries
    • Common select mistakes
    • Filtering data using the WHERE clause
    • Logical operators and operator precedence
    • AND and OR, The NOT keyword, Comparison operators
    • IS Keyword[Checking for NULL], BETWEEN + AND
    • IN and LIKE [Regex],DATE Functions
    • JOIN, LEFT JOIN, RIGHT JOIN, and MULTI SELECT
    • GROUP BY and HAVING
    • Conditional statements and NULLIF
    • VIEWS and subqueries
    • Stored procedures and WITH CTE
    • Creating a database, Data types, and Boolean type
    • Storing text, numbers, and arrays
    • CREATE TABLE and column constraints
    • Custom data types and INSERT, UPDATE, DELETE, DROP & ALTER
    • Database design and software development life cycle
    • Top-down vs. bottom-up design approaches
    • ER model and determining entities and attributes
    • Primary key and foreign key
    • Determining relationships between entities
    • Building a database for a movie theatre

    Module 7: Data Visualization with Tableau

    • Introduction to Tableau
    • What is Tableau and why is it important?
    • Understanding the Tableau interface
    • Connecting to data sources, Creating your first visualization
    • Understanding your data
    • Cleaning and shaping your data
    • Creating calculated fields
    • Blending data from different sources
    • Creating charts such as bar charts, line charts, and scatter plots
    • Adding filters and highlighting
    • Creating groups and hierarchies
    • Using reference lines and bands
    • Creating maps and geospatial analysis
    • Using trend lines and forecasting
    • Building dashboards and stories
    • Creating advanced charts such as heat maps and tree maps
    • Publishing your visualization
    • Using Tableau Server and Tableau Online
    • Collaborating with others
    • Security and permissions

    Module 8: Business Storytelling

      Introduction to Business Storytelling
    • Definition and Importance of Storytelling in Business Analytics
    • The Role of a Storyteller in Data Analysis
    • Understanding the Audience
    • Principles of Storytelling
    • The Structure of a Good Story: Beginning, Middle, and End
    • Elements of a Compelling Story
    • Elements of a Compelling Story
    • Data Visualization and Storytelling
    • Choosing the Right Visualization
    • Visual Design Principles for Effective Storytelling
    • Tools for Data Visualization
    • Storytelling with Data
    • Framing the Narrative around Data
    • Crafting Data-driven Insights
    • Case Studies of Effective Data Storytelling

    Module 9: Presentation Skills with PowerPoint

    • Introduction to PPT
    • Slide Layout & Its formatting, Editing & Arranging
    • Tables Creating & Formatting
    • Images Formatting & Arranging
    • Charts Visualization
    • Understanding Animation
    • Media & Action Buttons
    • Themes & Design
    • Slide Masters
    • Custom Template & Setting Up The Show

Skills and Tools you will learn

  • Excel
  • Power BI
  • SQL
  • Python
  • Tableau
  • R
  • Statistics

Upcoming Batches and Events

Offline Batch - 03 June 2024

Monday to Friday - 10:00 AM - 1:00 PM (IST)

Online Batch - 03 June 2024

Saturday 10:00 AM - 1:00 PM (IST)

Course Fee: INR 95000 + Taxes ( Limited Time Deal for the upcoming Batches )

Easy EMI: INR 100000

100% Money-Back Guarantee: If you do not like our course, you can claim a 100% money return after your first session.

Certification Fee: Price included an exam and IIMSKILLS certification fees.

Group Discount: 10% group discount on 3 or more registration.

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Projects

Module 1:
Excel

  • Calculations
  • Car Data Analysis
  • Pokemon Conditional
  • Data Validation
  • Data Cleaning
  • Kickstarter Summary Report
  • Basic Dashboard
  • IPL Dashboard
  • Covid Analysis
  • Virtual Gaming Startup

Module 2:
Power Bi

  • IBM Project
  • Bank Analysis
  • Email Marketing
  • Global Terrorism Analysis
  • IPL Project
  • Mavans Market Project
  • Sales and Inventory Analysis
  • Unemployment Analysis
  • Covid Analysis
  • Olympics Analysis

Module 3:
Tableau

  • Exploratory Data Analysis
  • Coal Terminal Maintenance Analysis
  • HR Analytics
  • House Data Analysis
  • Covid 10 case analysis
  • Air travel Analysis
  • Health care analysis
  • Airbnb Analysis
  • Google play store dashboard analysis
  • Rainfall Analysis

Module 4:
SQL

  • Average Selling Price
  • Bank Account summary
  • Find Customers who never order
  • Market Analysis
  • Product Sales Analysis
  • Top performing ads
  • Delete duplicate emails
  • FIx Names in a Table
  • User Engagement Analysis
  • Ride Cancellation Rate

Module 5:
R programming

  • Seattle data transformation problem
  • Diamond data analysis
  • GOT data analysis
  • Global power plant analysis
  • European Soccer Database
  • Facebook Data Analysis
  • NYC Taxi Data Analysis

Module 6:
Python

  • Tic tac toe
  • Hand cricket
  • Number guessing game using oops

Testimonials

PG In Business Analytics Training Process

1
Registration

Upon successful registration, gain access to our course, including pre-reading materials and a guide on setting up your learning environment.

2
Select Your Batch

Choose from our flexible batch options, with both weekday and weekend schedules available. Tailor your learning to a day that suits your preferences, and feel free to switch batches if needed.

3
Induction

Engage in an informative induction session to familiarise yourself with the course methodologies, structure, and expectations. Get insights into the dynamic world of your chosen field.

4
Weekly Assignment

Enhance your hands-on experience with daily assignments that reinforce the concepts covered in live classes. Apply your learning immediately and receive feedback to strengthen your understanding.

5
Attendance

Maintain a minimum attendance in live classes to qualify for the course certification. Recorded sessions are available for flexibility, ensuring that your progress is accounted for.

6
Mock Interview

Participate in mock interviews designed to simulate real-world scenarios. Gain valuable experience, receive constructive feedback, and sharpen your interview skills in preparation for professional opportunities.

7
Projects

Immerse yourself in real-world projects that challenge and reinforce your skills. Apply theoretical knowledge to practical scenarios, building a robust portfolio to showcase your expertise to potential employers.

8
Monthly Awards

Stand out and be recognized for your achievements with monthly awards. Celebrate excellence, innovation, and dedication within the course community.

9
Pre-Placement Training

Receive specialised pre-placement training to refine your technical and soft skills. Prepare for interviews, enhance your resume, and gain a competitive edge in the job market.

10
Placement Support

Benefit from our dedicated placement support services. Schedule interviews with top organisations seeking professionals in your field, leveraging our network and reputation in the industry.

11
Getting Placed

Post-completion of the course, unlock various career paths: secure a full-time position, establish your own agency, pursue freelancing opportunities, or leverage your new skills to enhance your existing business.

This comprehensive training process ensures that participants not only gain technical proficiency in their chosen field but also receive support, recognition, and placement assistance for a successful transition into the professional landscape.

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Who can Learn

This Business Analytics course is designed for aspiring business analysts, recent graduates, and professionals seeking to enhance their expertise in modern business analytics. It is ideal for:

Whether you're a beginner with a passion for data, a seasoned professional looking to diversify your skill set, or an entrepreneur aiming to take control of your data projects, this course is designed to empower and benefit a diverse range of learners in the pursuit of becoming proficient business analysts.

To successfully study the Business Analytics course, participants should meet the following minimum requirements:

These minimum requirements ensure that participants have the foundational knowledge and resources needed to engage effectively with the course content and successfully complete the Business Analytics program.

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Frequently Asked Questions

Business Analytics is a field that combines data analysis, business intelligence, and computer programming to help businesses make data-driven decisions. It involves the use of statistical analysis and predictive modeling to analyze current and historical data to make informed business decisions.

Learning Business Analytics is essential as it plays a crucial role in the business landscape. It’s used in various fields such as marketing, sales, operations, and human resources. Understanding Business Analytics helps in making informed business decisions, managing business risks, and understanding the complexities of business operations.

Basic data literacy and a foundational knowledge of business processes are beneficial. Proficiency in using analytical tools and navigating software applications is essential. A basic understanding of English is also recommended, as course materials and communication may be presented in English. This includes the ability to read and comprehend data documentation. Prior knowledge of data analysis concepts can be helpful but is not mandatory as the course starts with the basics. Dedication and a willingness to learn are the most important requirements. Dive in and discover the power of Business Analytics with us!

This course is designed for a wide range of professionals including data analysts, business analysts, marketing analysts, financial analysts, data scientists, and managers who want to understand data-driven decision-making. It is also suitable for individuals looking to switch careers and enter the exciting field of business analytics.