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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom	Video and Text Based

Course Overview

Analytics and big data are more than just data science and technology issues to be relegated to specialists. Moreover, the difficult part about engaging in analytics is not technology or data science. The Business Analytics: Decision Making with Data course is a 9-week-long online programme. It aims to provide you with a substantial understanding of analytics equipped with business-focused insight and grounded in practical application.

The Business Analytics: Decision Making with Data syllabus has been divided into 9 weekly modules. The curriculum covers topics like exploratory analytics, good and bad analytics, causal analytics, linking analytics, Artificial Intelligence, and machine learning. You will also learn the language to work with data scientists effectively.

To finish the course, you are required to put in 4 to 6 hours per week. The Business Analytics: Decision Making with Data programme will include learning tools, such as live faculty webinars, real-world application exercises, peer learning, feedback, and more. You will also gain a verified e-certificate upon completing the course.

The Highlights

9-weeks duration
Digital certificate of completion
4-6 hours weekly commitment
Live faculty webinars
Industry examples
Real-world application
Mobile learning app
Peer learning and feedback

Programme Offerings

Live faculty webinars
Online Format
Real-World Application
Mobile Learning App
Feedback
peer learning
Digital certificate of completion
Programme support teams

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	Kellogg School of Management, Evanston

The Business Analytics: Decision Making with Data certification fee is US$2,600.
Flexible payment options and group enrolment options are available to enrol in the course. Through the flexible payment option, you can pay the fee in 3 instalments.
You will get a 20% discount if you enrol with your colleagues.

Business Analytics: Decision Making with Data fee structure

Course	Fee
Programme fee	US$2,600
Group enrolment discount	20%

Eligibility Criteria

Upon successfully completing the course, you will receive a verified and digital completion Business Analytics certificate from Kellogg Executive Education.

What you will learn

Data science knowledgeKnowledge of Data VisualizationKnowledge of Google analytics

During the Business Analytics: Decision Making with Data program, you will learn the following:

Building a working knowledge of data science
Identifying where analytics adds value in your organisation
Learning how to tell a convincing story with data visualisation tools
Gaining the confidence required to function in a data-driven environment
Understanding why experimentation platforms are important to drive business growth

Who it is for

Management Consultant

The Business Analytics: Decision Making with Data programme is meant for professionals who fall under these 3 major categories:

Mid to senior-level Managers, who wish to link analytics and business initiatives, use tools to tell a story and distinguish good from bad analytics
Analysts who want to learn how to help management in achieving better business outcomes and align their work with their business objectives
Consultants who want to learn the comprehensive analytics framework, explore techniques to use visualisations, and advance their knowledge of data science

Admission Details

Go to the link - https://online.em.kellogg.northwestern.edu/business-analytics to visit the Business Analytics: Decision Making with Data course page.
Scroll down to locate the ‘Apply now’ option, and you will be redirected to a signup portal.
If you are new, click on ‘create account’ and fill in the blanks to create a new learning account.
Pay the programme fee and start learning the course.

Application Details

You just have to sign up or create an account on the online platform to participate in Business Analytics: Decision Making with Data training. Enter your full name, email ID, country, and then set a unique password to proceed. Lastly, confirm the password and create your account.