Diploma in Business Analytics - Overview

Edure's Comprehensive Business Analytics Course, your stepping stone to mastering the science of Business Analytics. Our curriculum is meticulously designed to cover key areas such as Data Cleaning, Data Visualization, Statistical Analysis, Machine Learning, Python, R, SQL, and Tableau. This course is a perfect blend of foundational knowledge and practical skills, aimed at equipping you with the expertise to excel in the dynamic field of data analytics. Whether you're a beginner or a professional looking to upskill, our course offers a learning path tailored to your needs. Our Business Analytics Course is meticulously designed to cover every aspect of business analytics. From understanding the basics of data visualisation to mastering advanced concepts like predictive analytics and decision modelling, our curriculum ensures a holistic understanding of the subject.

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. 55000
(Incl. taxes)
ENROLL NOW
Let us contact you:
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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.

Testimonials

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 demand for business analytics professionals continues to grow, individuals with expertise in this field have a wide array of career opportunities across various industries and job roles in the ever-evolving field of Business Analytics. Individuals who have studied business analytics can pursue various rewarding career options in the field of Business Analytics. Here are some career paths:

Business Analyst:

Use data to provide insights into business operations and suggest methods to improve.

Data Analytics Consultant:

Provide analytics solutions to businesses, helping them make data-driven decisions.

Operations Analyst:

Use data to help businesses operate more efficiently and effectively.

Marketing Analyst:

Use data to measure and analyze market trends and marketing strategies.

Market Research Analyst:

Use data to help companies understand what products people want, who will buy them, and at what price.

Big Data Analyst:

Work with large amounts of data to uncover hidden patterns, correlations, and other insights.

Data Visualization Specialist:

Use graphical representations of data to help people understand complex data sets.

Business Intelligence Analyst:

Use data to gain insights into business operations and suggest areas of improvement.

Supply Chain Analyst:

Use data to optimize operations in the supply chain.

Risk Analyst:

Use data to identify and evaluate areas of potential risk in a company's operations.

Fraud Analyst:

Use data to detect fraudulent activities within an organization.

Sports Analyst:

Use data to evaluate player performance, devise game strategies, and scout new talent in sports teams.

Business Analytics Manager:

Oversee a team of data analysts and ensure that the data analysis methods used are sound and reliable.

These roles underscore the diverse career paths available to individuals with business analytics expertise, ranging from specialised roles like Business Analyst or Data Analytics Consultant to leadership positions such as Data Analytics Manager or Business Intelligence Analyst. The versatility of business analytics skills allows professionals to explore various avenues within the dynamic field of Business Analytics and business intelligence. The power of data-driven decision making is recognized across industries, making business analytics a highly sought-after skill. Join us and start your journey in the exciting world of business analytics.

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.

Diploma in Business Analytics Course Details

The Business Analytics course is a meticulously designed program that provides a deep dive into the world of business analytics. It covers essential areas such as Statistical Analysis, Python for data manipulation and analysis, Predictive Modeling for business decision making, SQL for database querying, Tableau for data visualisation, and Git and GitHub for version control. Additionally, it introduces you to Big Data technologies like Hadoop and Spark. This course offers a balanced mix of theoretical knowledge and practical skills, preparing you to excel in the ever-evolving 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.

What you will Learn

  1. Module 1: Foundations of Business Analysis
    • In this module, participants will delve into the fundamental concepts of business analysis. Beginning with an introduction to data and its analysis process, the module covers the basics of Microsoft Excel, including working with templates. It progresses to exploring data, studying Excel functions, and understanding various function types such as Common, String, Logical, Numerical, and Date & Time functions. Participants will also gain proficiency in V Lookup and H Lookup, conditional selection, and logical operators. The module concludes with topics like data validation, what-if analysis, and solving linear optimization problems using Excel Solver.
  2. Module 2: Advanced Excel and Power BI
    • In this module, participants will delve into the intricacies of advanced Excel functions and formulas, exploring mathematical, statistical, and text functions along with array formulas and advanced techniques. The focus then shifts to Power Query, where participants learn to import, clean, transform, and merge data from various sources. The subsequent weeks concentrate on Power Pivot fundamentals, covering data modeling, relationships, and the creation of calculated columns and measures using DAX (Data Analysis Expressions). Participants will gain proficiency in DAX syntax, advanced techniques, and optimizing formulas. The latter part of the module explores model visualization in Power BI, introducing interactive reports, dashboards, and various visualization techniques.
  3. Module 3: Data Visualisation with Tableau
    • This module is designed to equip participants with advanced data visualization skills using Tableau. Commencing with an introduction to Tableau's interface and data connections, participants will progress to data preparation and cleaning techniques, including joining, blending, and handling outliers. The course delves into advanced visualization techniques, covering customization, diverse chart types, and geospatial visualization. Participants will then learn to design interactive dashboards, employing actions, filters, and effective storytelling with data. Exploring advanced Tableau features, the module includes calculations, aggregations, sets, groups, hierarchies. Assessment includes weekly quizzes, a mid-term project designing an interactive Tableau dashboard, and a final project creating a comprehensive Tableau visualization using real-world datasets.
  4. Module 4: Python for Business Analytics
    • This module provides a strong foundation in Python programming tailored for Business Analytics. It starts with an overview of Python, Anaconda environment setup, and practical exercises using Jupyter Notebook. Participants progress through fundamental Python concepts, including conditional statements, loops, and built-in functions, extending to user-defined functions and object-oriented programming. The module also covers hands-on training in data cleaning with NumPy and Pandas, ensuring proficiency in handling diverse datasets. Additionally, it integrates machine learning aspects, introducing algorithms like linear regression, random forest for classification, and clustering techniques for segmentation, providing participants with a versatile skill set for business analytics.
  5. Module 5: R Programming & ggplot Data Visualization
    • This module provides a concise introduction to R programming for Business Analytics. Participants will cover basic R programming concepts, including data types, variables, and loops, progressing to more advanced topics such as functions and data manipulation. The syllabus also includes practical exercises in RStudio. Additionally, participants will explore data visualization using ggplot2, mastering syntax and customization for effective charting. The module integrates real-world applications, incorporating data cleaning techniques with dplyr and tidyr, and introducing statistical modeling in R for business analytics scenarios.

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 55000 + Taxes ( Limited Time Deal for the upcoming Batches )

Easy EMI: INR 60000

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

Project 1:
Email Marketing Analysis

Email marketing analysis in Power BI involves leveraging the Power BI tool to analyze and derive insights from a dataset containing information about subscribers to an email newsletter. With a dataset of 10,000 records encompassing various patterns and constraints like physical features, locations, and subscriber status, Power BI can help perform in-depth analysis for email marketing purposes.

Project 2:
Bank Customer Analysis

Analysing a bank customer dataset to identify trends and determine the characteristics of potential target customers is a valuable approach to optimize marketing strategies and increase account sign-ups. .By systematically analysing the bank customer dataset and extracting actionable insights, banks can optimize their efforts to attract and engage potential customers who are more likely to sign up for bank accounts.

Project 3:
Covid Dashboard

A COVID dashboard in Excel is a tool used to visualize and analyze data related to the COVID-19 pandemic. It typically includes various charts, tables, and graphs that present key information about cases, deaths, recoveries, testing, and other relevant statistics.

Project 4:
Ride Cancellation Rate

This project involves analyzing the cancellation rate for ride requests, specifically those involving users who are not banned, using two tables: "trips" and "users". By analyzing cancellation trends, the aim is to understand the dynamics and potentially improve the ride experience, thus reducing cancellation rates

Project 5:
Tic Tac Toe Project

The project results in a functional console-based Tic Tac Toe game where players can compete against each other, taking turns marking the grid until there's a winner or a tie. The game provides an interactive experience allowing players to practice strategy and logical thinking within the confines of the classic Tic Tac Toe game rules.

Project 6:
European soccer database

European Soccer Database, contains data related to common European soccer leagues, players' basic information, and teams' goals, etc., this project analyzes the characteristics of European soccer and players, explores data visualization regarding European soccer, and makes analysis of the results of matches.

Testimonials

Diploma 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 involves gathering, organizing, analyzing business data, and applying statistical models and iterative techniques to convert this data into valuable business insights.

The course is ideal for beginners in Business Analytics, professionals in related fields, career switchers, business managers, entrepreneurs, and tech enthusiasts. It's also suitable for anyone with a passion for data and a desire to learn more about data-driven decision making in business.

Participants should have basic mathematical and statistical knowledge, business understanding, computer literacy, and a commitment to learning. Hardware requirements include a reliable computer or laptop with a minimum of 8GB RAM and a dual-core processor.

After completing the course, you can pursue careers as a Business Analyst, Data Analyst, Business Intelligence Analyst, Operations Analyst, Marketing Analyst, or in any role that requires business data analysis skills.

The duration of the course can vary depending on the curriculum and the individual's pace of learning. Typically, it can range from a few weeks for short-term courses to a few months for comprehensive programs.

While not always necessary, having programming knowledge, particularly in languages like Python or R, can be beneficial in business analytics as it allows for more flexibility in data manipulation and analysis.