Business Statistics and Analysis Specialization

Starts Oct 23

Business Statistics and Analysis Specialization

Build Data Analysis and Business Modeling Skills

Gain the ability to apply statistics and data analysis tools to various business applications.

About This Specialization

The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. You’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem. To successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. To see an overview video for this Specialization, click here!

Created by:

Industry Partners:

courses
5 courses

Follow the suggested order or choose your own.

projects
Projects

Designed to help you practice and apply the skills you learn.

certificates
Certificates

Highlight your new skills on your resume or LinkedIn.

Courses
Beginner Specialization.
No prior experience required.
  1. COURSE 1

    Introduction to Data Analysis Using Excel

    Upcoming session: Oct 23
    Commitment
    4 weeks of study, 1-3 hours/week
    Subtitles
    English

    About the Course

    The use of Excel is widespread in the industry. It is a very powerful data analysis tool and almost all big and small businesses use Excel in their day to day functioning. This is an introductory course in the use of Excel and is designed to give you a
  2. COURSE 2

    Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

    Upcoming session: Oct 30
    Commitment
    4 weeks of study, 1-3 hours/week
    Subtitles
    English

    About the Course

    The ability to understand and apply Business Statistics is becoming increasingly important in the industry. A good understanding of Business Statistics is a requirement to make correct and relevant interpretations of data. Lack of knowledge could
  3. COURSE 3

    Business Applications of Hypothesis Testing and Confidence Interval Estimation

    Upcoming session: Nov 13
    Commitment
    4 weeks of study
    Subtitles
    English

    About the Course

    Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘
  4. COURSE 4

    Linear Regression for Business Statistics

    Upcoming session: Oct 30
    Commitment
    4 weeks of study
    Subtitles
    English

    About the Course

    Regression Analysis is perhaps the single most important Business Statistics tool used in the industry. Regression is the engine behind a multitude of data analytics applications used for many forms of forecasting and prediction. This is th
  5. COURSE 5

    Business Statistics and Analysis Capstone

    Upcoming session: Oct 23
    Commitment
    4 weeks of study
    Subtitles
    English

    About the Course

    The Business Statistics and Analysis Capstone is an opportunity to apply various skills developed across the four courses in the specialization to a real life data. The Capstone, in collaboration with an industry partner uses publicly available

Creators

  • Rice University

    About Rice University

    Rice University is consistently ranked among the top 20 universities in the U.S. and the top 100 in the world. Rice has highly respected schools of Architecture, Business, Continuing Studies, Engineering, Humanities, Music, Natural Sciences and Social Sciences and is home to the Baker Institute for Public Policy.

  • Sharad Borle

    Sharad Borle

    Associate Professor of Management

FAQs

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