Nearly every aspect of business is affected by data analytics. For businesses to capitalize on data analytics, they need leaders who understand the business analytic workflow. This course addresses the human skills gap by providing a foundational set of data processing skills that can be applied to many business settings.
ofrecido por
Universidad de Illinois en Urbana-ChampaignAcerca de este Curso
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Fechas lÃmite flexibles
Restablece las fechas lÃmite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100Â % en lÃnea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel principiante
At least 1 year of business experience. Critical thinking.
Aprox. 16 horas para completar
Inglés (English)
SubtÃtulos: Inglés (English)
Qué aprenderás
You will learn how to process data using R and RStudio. You will also explore the interaction between business principles and data analytics.
Habilidades que obtendrás
- Business Analytics
- R Programming
- Rstudio
Fechas lÃmite flexibles
Restablece las fechas lÃmite en función de tus horarios.
Certificado para compartir
Obtén un certificado al finalizar
100Â % en lÃnea
Comienza de inmediato y aprende a tu propio ritmo.
Nivel principiante
At least 1 year of business experience. Critical thinking.
Aprox. 16 horas para completar
Inglés (English)
SubtÃtulos: Inglés (English)
ofrecido por
Universidad de Illinois en 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.
Comienza a trabajar para obtener tu maestrÃa
Este curso es parte del Master of Business Administration (iMBA) completamente en lÃnea de Universidad de Illinois en Urbana-Champaign.
Si te aceptan en el programa completo, tus cursos cuentan para tu tÃtulo de grado.
Programa - Qué aprenderás en este curso
4 horas para completar
Course Overview and Module 1 How Do I Get Started Using a Data Analytic Language to Solve Business Problem?
In this module you will be introduced to (1) the role of data analytics in business domains, and (2) R and RStudio.
4 horas para completar
14 videos (Total 84 minutos), 6 lecturas, 2 cuestionarios
3 horas para completar
Module 2 How Do I Get to Know My Data and Share It with Others?
In this module you will explore whether data is an asset and how to explore a dataset.
3 horas para completar
14 videos (Total 104 minutos), 2 lecturas, 1 cuestionario
6 horas para completar
Module 3 How Can I Use Functions to Help with Data Preparation?
This module starts with a discussion on the importance of assembling data for business analytic purposes, and then illustrates data transformation using Tidyverse, a group of useful R packages.Â
6 horas para completar
12 videos (Total 107 minutos), 2 lecturas, 2 cuestionarios
3 horas para completar
Module 4 How Do I Preprocess Data?
In this module, we will learn how delegation, feasibility, and control influence the level at which data is aggregated. We then focus on performing a variety of data preprocessing tasks to prepare data for use in visualizations and algorithms.
3 horas para completar
16 videos (Total 95 minutos), 4 lecturas, 1 cuestionario
Reseñas
- 5 stars73,72Â %
- 4 stars18,97Â %
- 3 stars3,64Â %
- 2 stars0,72Â %
- 1 star2,91Â %
Principales reseñas sobre INTRODUCTION TO BUSINESS ANALYTICS WITH R
por DR13 de jun. de 2020
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.
por PP13 de ago. de 2020
Excellent, very intuitive course, a good way to start your journey with R and analytic career.
por NP12 de may. de 2020
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.
por ET13 de sep. de 2020
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.
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