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Specialization Online

Business Analytics Coursera

Highlights
Tuition fee
Free
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Free
Unknown
Duration
2 months
Duration
2 months
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

Data-driven decision making potential unlocked. Learners will be able to obtain, manage, analyze and visualize data to gain a competitive advantage in the world of strategic business decision making with this Business Analytics Specialization offered by Coursera in partnership with University of Illinois.

Overview

Our world has become increasingly digital, and business leaders need to make sense of the enormous amount of available data today. In order to make key strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to draw key insights from this data. 

The Business Analytics Specialization offered by Coursera in partnership with University of Illinois is targeted towards aspiring managers, senior managers, and business executives who wish to have a well-rounded knowledge of business analytics that integrates the areas of data science, analytics and business decision making.

The courses in this Specialization will focus on strategy, methods, tools, and applications that are widely used in business. 

Topics covered include:

  • Data strategy at firms 
  • Reliable ways to collect, analyze, and visualize data–and utilize data in organizational decision making 
  • Understanding data modeling and predictive analytics at a high-level
  • Learning basic methods of business analytics by working with data sets and tools such as Power BI, Alteryx, and RStudio
  • Learning to make informed business decisions via analytics across key functional areas in business such as finance, marketing, retail & supply chain management, and social media to enhance profitability and competitiveness. 

Skills you'll gain

  • Data Analysis
  • Business Analysis
  • Data Visualization
  • Data Analysis Software
  • Machine Learning
  • Data Management
  • Statistical Programming
  • Algorithms
  • Accounting
  • Communication
  • Data Visualization Software
  • Machine Learning Algorithms

Programme Structure

Courses include:

  • Introduction to Business Analytics: Communicating with Data
  • Tools for Exploratory Data Analysis in Business
  • Machine Learning Algorithms with R in Business Analytics
  • Applying Data Analytics in Marketing
  • Applying Data Analytics in Accounting

Key information

Duration

  • Part-time
    • 2 months
    • Flexible

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Beginner level

  • No prior experience required

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

This short course is included with Coursera Plus subscription

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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