Introduction to Data Analytics for Managers
list 6 sequences
assignment Level : Introductive
chat_bubble_outline Language : English
card_giftcard 96 points
Users' reviews
5
starstarstarstarstar
Read review

Key information

credit_card Free access
verified_user Fee-based Certificate
timer 12 hours in total

About the content

Through a combination of lectures, business case studies, and hands-on learning this course provides an introduction to data analytics techniques and their application in business.

The case studies explored will illustrate how companies are leveraging different sources of data, including “big data,” with different analytical techniques, to improve performance. You will receive hands-on learning through a free web-based graphical development environment that will allow you to practice using some of these tools themselves. You will also gain an understanding of the many possibilities for applying data science in business, and will be able to consider additional learning opportunities to gain further depth.

This course is an excellent resource for managers who see the opportunity to use data analytics in business but do not have the skills and background to engage with data analytics themselves.

more_horiz Read more
more_horiz Read less
dns

Syllabus

  • The many different data science techniques and their applicability in business via case studies
  • Handling of data analytics with a graphical development environment, which makes advanced tools easily accessible without coding
  • How to conduct and interpret some basic data science activities, including:
    • A simple scatter plot, to visually assess relationships between two or more quantities;
    • A basic SQL query, to understand how to pull data from multiple interrelated sources;
    • A basic hypothesis test, to understand statistical significance and its impact;
    • A basic machine learning experiment, to understand what machine learning is and how to interpret its output.
record_voice_over

Instructors

Amitabh Sinha
Former Associate Professor of Technology and Operations
The University of Michigan

Sanjeev Kumar
Lecturer of Technology & Operations
The University of Michigan

store

Content designer

The University of Michigan
The University of Michigan
assistant

Platform

Edx

Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with EdX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

Reviews
5 /5 Average
starstarstarstarstar
1
starstarstarstarstar
0
starstarstarstarstar
0
starstarstarstarstar
0
starstarstarstarstar
0
Content
5/5
Platform
5/5
Animation
5/5
Best review

Il faut bien plus de 12 heures pour finir ce cours qui est très intéressant mais aussi très exigeant et dense, on aborde des sujets très techniques tels que le langage SQL, les probabilités ou la régression linéaire. Les "homeworks" sont aussi exigeants et demandent beaucoup de travail (essais, exercices sur Azure ML, exercices d'analyse de données). Je dirais que pour bien réussir ce cours et avoir la certification il faut 20h/25h au total, soit 3/4h par semaines sur 6 semaines.

Gwendoline Castel
Gwendoline Castel,
Published on October 31, 2018
You are the designer of this MOOC?
What is your opinion on this resource ?
Content
0/5
Platform
0/5
Animation
0/5
Gwendoline Castel,
on the October 31, 2018
starstarstarstarstar

Il faut bien plus de 12 heures pour finir ce cours qui est très intéressant mais aussi très exigeant et dense, on aborde des sujets très techniques tels que le langage SQL, les probabilités ou la régression linéaire. Les "homeworks" sont aussi exigeants et demandent beaucoup de travail (essais, exercices sur Azure ML, exercices d'analyse de données). Je dirais que pour bien réussir ce cours et avoir la certification il faut 20h/25h au total, soit 3/4h par semaines sur 6 semaines.