Data Science and Visualization for Business

Using data to make the right decisions and drive lasting success

Professionals from all sectors are identifying, analyzing, preparing and leveraging data to make smarter decisions on a daily basis. In this course, participants discover the basics of data science through data insights and visualization. Gain real-time guidance, feedback and professional insights from professors and experts from Google, Amadeus and McKinsey. With their help, students apply statistical concepts underlying data analytics to create meaningful displays that improve decision-making.

Date

Oct 7 - Nov 13, 2020

Duration

5 weeks

Schedule

6 - 8 hours of study per week

Format

Online

Language

English

Intake

Fall

Tuition Fees

€ 1.950

Pathway

Digital, Data & Tech

Request Information

If you need further information about the program, please contact us.

Bessy Pocasangre

Program Advisor

+34 91 568 97 64 +34 639 441 405

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Why this program?

Visualizing data techniques

Demonstrate the key design principles and techniques for visualizing data.

Statistical concepts

Appraise the fundamental statistical concepts required for effective data summary and presentation.

Data visualization tools

Develop competency in the use of several available software tools for data visualization.

Project-based visualizations

Produce project-based opportunities to identify, understand, analyze, prepare and present visualizations on a variety of topics.

Cleaning and transforming data techniques

Apply techniques in acquiring, cleaning, transforming and visualizing data.

Dashboarding

Create and publish basic dashboards to track, analyze and display key performance indicators (KPIs).

Academic Director

Rafif Srour Daher

Academic Director, Data Science and Visualization for Business
Professor and Director of Bachelor in Business and Data Analytics at IE University

Rafif Srour Daher

Academic Director, Data Science and Visualization for Business
Professor and Director of Bachelor in Business and Data Analytics at IE University

Rafif Srour Daher has fourteen years of experience in teaching, analytical and empirical research, consultancy and data analysis. She has consistently proven her ability to work in international and multicultural environments, with experience in Lebanon, the U.S. and Spain. She considers herself to be a lifelong learner, both academically and personally, and is a five-time winner of IE’s Best Professor award. She is also a strong advocate of using coaching and mentoring to help students improve their academic performance and overall learning experience.

YOU WILL ALSO LEARN FROM GUEST SPEAKERS COMING FROM:

"What I loved most about the program were the challenging real-world examples used in class, and the fact that the faculty and the whole IE team were always available whenever I needed them. I recommend this program for anybody who’s interested in developing and expanding their expertise in this area, or looking to grow their professional network."

Lydia Gutierrez

Controller Manager Associate - J.P. Morgan

"The online learning environment felt like a community. We had the opportunity to connect with other colleagues as we shared our ideas and experiences, leading up to practice tests and preparing for exams. In addition, the online sessions were very enriching and interactive. The live sessions were particularly impressive because you could see your classmates connected to the virtual classroom from all around the world. The program itself is very well structured, and it encourages you to always go the extra mile."

Arianna Carrizo

Project Manager - Fitch Ratings

"In this program, I’ve discovered the basics of Data Science and much more. I felt supported even before it started, and our professor’s one-on-one teaching style helped me improve my overall quantitative skills. On top of that, the program was taught in an engaging and easy-to-understand way with all learning resources being relevant and practical. IE really goes above and beyond to create a comprehensive, yet enjoyable, learning experience."

Eldar Mammadov

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