Develop a data mindset and analytical skills to interpret and communicate data for business problems. Regardless of your job function or background, this Business Analytics Bootcamp will demystify data analysis and equip you with the required skills to apply to your workplace through a blend of self-paced videos, live sessions, and hands-on projects.
Experience cutting-edge online learning from world-class instructors through this immersive Business Analytics Bootcamp. Together with live masterclasses from UMN instructors and IBM experts, gain the skills to excel in the fast-paced business world.
This high-engagement, market-driven bootcamp covers the specialized skills required to succeed in the field of business analytics, including Excel, SQL, R, Python, data visualization tools, and many more. This bootcamp lets you gain on-the-job experience by working on industry-relevant projects.
Get started with the Business Analytics Bootcamp and explore everything about it. Kickstart your business analytics journey with this orientation session and get to know what this carefully curated Bootcamp offers.
This Intro to Data Analytics will give you insights into how to apply data and analytics principles in your business. By learning analytics, data visualization, and data science methodologies in this Business Analytics bootcamp, you will be able to make better data-driven business decisions and optimize ROI
Master practical data-driven, decision-making skills with the help of data analysis and statistics. In this Business Analytics bootcamp, you will learn how to use one of the most common office tools available — MS Excel — to leverage business analytics and make better business decisions.
In this Business Analytics bootcamp, you will master SQL and improve your career prospects. Gain functional knowledge of SQL (Structured Query Language), the leading programming language for relational database management systems
You’ll discover R programming through this Business Analytics bootcamp. Learn how to write R code, utilize R data structures, and create your own functions.
In this Business Analytics bootcamp, you will master data exploration, data visualization, predictive analytics, and descriptive analytics techniques using the R programming language.
Explore the world of visualization through Tableau, helping you gain a variety of skills in the powerful platform including building visualizations, organizing data, and designing dashboards.
Bring your newly acquired skills from this Business Analytics Bootcamp together with a hands-on, industry-relevant capstone project that compiles all skills into one portfolio-worthy capstone.
Move beyond the spreadsheet for data analytics with this course from IBM. Perform statistical analysis and create meaningful data visualizations using Python.
Learn to identify and pursue an innovation opportunity to develop products and services that are desirable, viable, and feasible. Make a positive impact by leveraging mathematics to innovate with data.
Explore Power BI concepts like layouts, BI reports, dashboards, Power BI DAX commands, and functions. Learning how to experiment, fix, prepare, and present data quickly is easy with this in-depth course.
Attend online interactive masterclasses conducted by renowned instructors from UMN. Understand what analytics can and cannot do, how to interpret data to make better decisions and different business analytics techniques.
Attend online interactive masterclasses conducted by industry experts from IBM. Get insights into the latest industry updates in the field of Business Analytics.
Predict store sales and demand while factoring in economic conditions for a multinational retail giant’s stores across the United States.
Use the clustering methodology for customer segmentation for a large UK-based online retailer to identify high-value customers and set up loyalty programs.
Use Tableau to compare various parameters of a data set from various countries for an expanding insurance company.
Zomato's owners aim to find hidden irregularities in their company's data. The ultimate goal of this project is to examine the data to assess their business performance.
Analyze insurance data provided by multiple companies to identify regional patterns and measure agents’ performance based on several attributes.
Help an organization create a dashboard to visualize the sales comparison between two selected regions.
Analyze employee performance and generate reports on employee performance using different data sets for a data science startup.
Help an air cargo company improve its operational efficiency and customer satisfaction. The company looks to create reports of regular passengers, busiest routes, ticket sales etc.
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
Dr. Ravi Bapna is the Associate Dean for Executive Education and the Curtis L. Carlson Chair in Business Analytics and Information Systems at the University of Minnesota. Bapna specializes in helping companies use data science, AI, ML, and business analytics for competitive advantage.
The Business Analytics market was valued at USD 67.92 billion in 2020 and is expected to reach USD 103.65 billion by 2026 and work at a CAGR of 7.3% over the forecast period (2021-2026). [Source: Mordor Intelligence]
Jobs available for Business Analytics
CAGR growth from 2021 to 2030
Average Annual Salary
This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.
The application process consists of three simple steps. An offer of admission will be made to the selected candidates and accepted by the candidates by paying the admission fee.
Tell us a bit about yourself and why you want to do this program
An admission panel will shortlist candidates based on their application
Selected candidates can begin the program within 1-2 weeks
For admission to this Post Graduate Program, candidates should have:
The admission fee for this program is $ 8,000
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
For admission to this online Business Analytics Bootcamp, candidates should meet any following criteria:
A bachelor's degree (any background)
An eagerness to apply course concepts to real business problems
2+ years of work experience (preferred)
The admission process for this Business Analytics Bootcamp consists of three simple steps:
All interested candidates are required to apply through the online application form
An admission panel will shortlist candidates based on their application
An offer of admission will be made to the selected candidates, which can then be accepted by the candidate by paying the program fee
To ensure money is not a limiting factor in learning, we offer various financing options to help make this Business Analytics Bootcamp financially manageable. For more details, please refer to our "Admissions Fee and Financing" section.
As a part of this Business Analytics Bootcamp, you will receive the following:
Program completion certificate from University of Minnesota, Carlson School of Management
University of Minnesota Alumni membership
Masterclasses delivered by distinguished instructors from University of Minnesota, Carlson School of Management
12+ hands-on projects
Seamless access to integrated labs
Capstone projects in 5 domains
Simplilearn’s Career Assistance to get noticed by top hiring companies
Industry masterclasses conducted by IBM experts
Access to IBM hackathons and IBM Ask Me Anything sessions
IBM certificates for IBM courses
8X higher interaction in live online classes by industry experts
Upon successful completion of this Business Analytics Bootcamp, you will be awarded a certificate of completion by University of Minnesota, Carlson School of Management, along with IBM certificates for IBM courses, and industry-recognized certification from Simplilearn for relevant courses in the learning path.
Once you pay the first installment of the fee for this Business Analytics Bootcamp, you will get access to a preparatory course. You will have to go through the assigned course before attending the first class, which consists of self-paced learning content in the form of videos.
The anticipated time to complete the overall Bootcamp of the program is 6 months.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in Business Analytics on your first attempt. They proactively engage with students to ensure adherence to the learning path—helping to enrich the learning experience, from class onboarding to project mentoring to career assistance.
Our highly-qualified instructors are industry experts with years of relevant industry experience. Each of them undergo a rigorous selection process, including profile screening, technical evaluation, and a training demo evaluation before getting certified to train for us. We ensure that only those trainers with a high alumni rating remain part of our faculty.
Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.
We offer 24/7 support through email, chat, and calls through our dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completing this program
No refund will be applicable once you make the partial/full payment
This Bootcamp is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings, and assignments anytime and anywhere via the web or your mobile device.
This Business Analytics Bootcamp is offered on a non-credit basis and is not transferable to a degree.
Post Graduate Program are certification programs and do not include any transcripts for WES, this is reserved only for degree programs. We do not offer sealed transcripts and hence, our PG programs are not applicable for WES or similar services.