Nearly every aspect of business is affected by data analytics. There are many powerful tools that can quickly process large amounts of data. For businesses to capitalize on data analytics, they need leaders who understand the data analytic process. Even more valuable are leaders who know how to analyze big data. This course addresses the human skills gap by providing a foundational set of data analytic skills that can be applied to many business settings.
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Introduction to Business Analytics with R
Иллинойсский университет в Урбане-ШампейнеОб этом курсе
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Иллинойсский университет в Урбане-Шампейне
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.
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Программа курса: что вы изучите
Course Overview and Module 1 Introduction to Business Analytics and R
In this module you will be introduced to the role of data analytics in business domains.
Module 2 Assembling Data
In this module you'll identify how framing a question and the intended analysis influence the way in which data is assembled.
Module 3 Data Quality and Data Transformation
This module starts with a discussion on the importance of Data Quality in business analytics. Later, we learn Data Transformation using Tidyverse, a group of useful R packages.
Module 4 Exploratory Data Visualization using R
In this module, we will learn a powerful visualization package in ggplot2 to create useful visualizations for exploratory data analysis (EDA).
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Лучшие отзывы о курсе INTRODUCTION TO BUSINESS ANALYTICS WITH R
This class was great, you get to learn the basics of R, I have no previous experience with programming languages and I feel in a much better place, after taking this class. I highly recommend it.
Thank you for helping me in acquiring the knowledge of the analysis using the R studio. I have really got a good understanding of how does this is been applied in an organisation.
first part was easy to follow and last 2 week courses were too much focused on getting code drilled and not enough on what the code could be used for in real life.
Excellent, very intuitive course, a good way to start your journey with R and analytic career.
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