Introduction to Data Analytics for Business

The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results.The problems faced by decision makers in today's competitive business environment are complex. Achieve a clear

( 143 Reviews )

Created by: David Torgerson

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 94 / 100

Course Description

This course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the environment in which analytics can flourish.What you learn in this course will give you a strong foundation in all the areas that support analytics and will help you to better position yourself for success within your organization. You'll develop skills and a perspective that will make you more productive faster and allow you to become a valuable asset to your organization.This course also provides a basis for going deeper into advanced investigative and computational methods, which you have an opportunity to explore in future courses of the Data Analytics for Business specialization.

Time: 18h

Instructor Details

David Torgerson

4.7 Rating
143 Reviews

Dave is an Instructor and guest lecturer at the University of Colorado, Boulder, and specifically co-teaches the Master of Business Analytics program Boot Camp. He is passionate about the role data & analytics play in creating "clarity out of chaos" and how analytic capabilities can evolve into a strategic competitive advantages for companies and organizations. Dave started his career as a Nuclear Engineer in the U.S. Navy / Department of Energy. He spent a number of years as a management consultant specializing in strategy, analytics, and analytic organizational design, which led to series of industry-side roles in building analytic organizations and capabilities at U.S. Cellular, Gogo, and most recently Sentara Healthcare. Dave holds a B.S. in Electrical Engineering and an MBA from Duke University, as well as a Master's in Engineering Administration from Virginia Tech and a Master equivalent in Nuclear Engineering from the Bettis Reactor Engineering School. He also spent a year in the Marketing PhD program at Duke. Dave's outside interests include triathlon, surfing, playing music, and building things - and he applies analytics to all of them.

The Data Scientist's Toolbox (2019)

5.0 (792 Reviews)

Provider: Coursera
Time: 8h

Free

Python for Data Science (2017)

4.4 (9 Reviews)

Provider: edX

Free

Python A-Z: Python For Data Science With Real Exercises!

Python A-Z: Python For Data Science With Real Exercises! (2021)

4.5 (472 Reviews)

Provider: Udemy
Time: 11h

11.99

More Courses

Reviews

4.7

143 total reviews

5 star 4 star 3 star 2 star 1 star

Write a Review

By Shobhit G on 17-Feb-18

good structure for learning basics related to analysis

By Robert B on 31-Dec-16

Overall, course quality is good and have a appropriate level of knowledge for new analysts. I will recommend for who begins learning about data analytic.Need improve:Some of the subtitles are wrong.Examinations need have more explanations, they will be helpful when we choose the wrong answer. I need to wait too long for reviewing someone in the end of course. Please consider this.

By Iain S on 31-Jan-17

Very very good. Needs some clean up in the PowerPoints and perhaps a bit more elaboration with some concepts. The quizzes were a bit tricky where some of the questions hinged on a single word or phrase in the lecture.

By Fenix(Xufeng) S on 6-Jul-18

This is a good course for a theoretical learning. Thank You!

By Tetiana I on 16-Oct-19

Excellent Course! hands on practicing

By Denis G on 28-Jul-18

This course has been very interesting and very focused in what is important. Even the part more theoretical has been also a learning experience. My favorite module was the SQL practice.Thank you for giving me the opportunity to learn something new this gives me the opportunity to start practicing the SQL.Carmen

By Fernando Z S on 29-Jul-18