This course introduces students to the science of business analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide businesses and managers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives. Students will learn to identify the ideal analytic tool for their specific needs; understand valid and reliable ways to collect, analyze, and visualize data; and utilize data in decision making for their agencies, organizations or clients.
Offert par
Introduction to Business Analytics: Communicating with Data
Université de l'Illinois à Urbana-ChampaignÀ propos de ce cours
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Certificat partageable
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100 % en ligne
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Dates limites flexibles
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Niveau intermédiaire
Approx. 14 heures pour terminer
Anglais
Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Anglais, Espagnol
Compétences que vous acquerrez
Data AnalysisAnalyticsBusiness AnalyticsHealth Care
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Niveau intermédiaire
Approx. 14 heures pour terminer
Anglais
Sous-titres : Arabe, Français, Portugais (européen), Italien, Vietnamien, Allemand, Russe, Anglais, Espagnol
Offert par
Université de l'Illinois à Urbana-Champaign
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
Commencez à travailler pour obtenir votre master
Ce cours fait partie du diplôme intégralement en ligne Master of Business Administration (iMBA) de Université de l'Illinois à Urbana-Champaign.
Si vous êtes admis(e) au programme complet, vos cours sont pris en compte dans votre apprentissage diplômant.
Programme du cours : ce que vous apprendrez dans ce cours
6 heures pour terminer
Module 1: Pictures You See with Your Brain
This module, will help you earn the foundation needed to become a good data communicator. After completion of this module, you will know the history of data visualizaiton, understand today’s dataviz tools, make connections with visuals, and evaluate the effectiveness of data visualizations.
6 heures pour terminer
7 vidéos (Total 47 min), 7 lectures, 3 quiz
3 heures pour terminer
Module 2: Working Fast and Thinking Slow
This module will walk you through various methods to access data. The data could be either publicly available or company internal. The module also reviews why it is important for analysts to define clear objectives for their analysis. You will also be introduced to frameworks that help guide digital marketing analysis and their importance to data visualization.
3 heures pour terminer
5 vidéos (Total 35 min), 2 lectures, 2 quiz
3 heures pour terminer
Module 3: Finding Your Data Story
In this module, you will learn an approach to finding patterns in data through visualization. You will see how charts can be used to communicate messages that can be conceptual or data driven and declarative or exploratory. Next, we will learn how to use different charting techniques to reveal data patterns. Visual aids play a major role in identifying ideas and, as a result, we will learn how to match the appropriate visual technique to the ideas we hope to expose. Next, we will explore analysis tools. RStudio is one of the most commonly used tools, and we will explore its visual capabilities. Finally, we will discuss a framework that will help analysts effectively plan for data collection, analysis, and, ultimately, visualization.
3 heures pour terminer
5 vidéos (Total 29 min), 2 lectures, 2 quiz
3 heures pour terminer
Module 4: Getting Your Story Across
This module explores telling stories, through data, that connect emotionally with your audience. It will also review examples and figures that make the concept easy to understand. You will learn the major do’s and don’ts of creating dataviz and rules that lead to the clear depiction of your findings. This unit specifically focuses on Dona Wong’s guidelines for good data visualization and charts. The last leg of Module 4 teaches the three tests that help you improve your visualization. In the final step of dataviz execution, you will learn the McCandless Method for presenting visualizations. This five-step process produces the most effective communication of the graphics to your audience.
3 heures pour terminer
5 vidéos (Total 32 min), 2 lectures, 2 quiz
Avis
Meilleurs avis pour INTRODUCTION TO BUSINESS ANALYTICS: COMMUNICATING WITH DATA
par GG15 août 2020
The course does justice to its title i.e "Intoduction" but there could have been more hand on experience other than assignments. But a good start for the people getting into Data Visualization.
par AK12 juin 2020
This course is ok for those who are looking fora good understanding of the concept of data visualization. However, there is no hands-on training on any of the data visualization tools.
par RP3 sept. 2019
It was great to give me a better understanding about the way how we can structure and systematically deliver a great data visualization. It will definitely improve my communication.
par RJ10 mai 2020
It is an amazing course for a beginner who has just ventured into the world of analytics. Not only were the lectures amazingly explained, the assignments also were interesting.
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