이 강좌는 Google 데이터 분석 전문 자격증의 일부입니다.

4.8
별점
3,930개의 평가

Google Career Certificates

최고의 강사

155,106명이 이미 등록했습니다.

제공자:

Google 데이터 분석 전문 자격증Google

이 강좌에 대하여

최근 조회 2,423,364회

This course is the seventh course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll learn about the programming language known as R. You’ll find out how to use RStudio, the environment that allows you to work with R. This course will also cover the software applications and tools that are unique to R, such as R packages. You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways.  Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.
Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.

By the end of this course, you will:
 - Examine the benefits of using the R programming language.
 - Discover how to use RStudio to apply R to your analysis. 
 - Explore the fundamental concepts associated with programming in R. 
 - Explore the contents and components of R packages including the Tidyverse package.
 - Gain an understanding of dataframes and their use in R.
 - Discover the options for generating visualizations in R.
 - Learn about R Markdown for documenting R programming.

유연한 마감일

일정에 따라 마감일을 재설정합니다.

공유 가능한 수료증

완료 시 수료증 획득

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

다음 특화 과정의 8개 강좌 중 7번째 강좌:

Google 데이터 분석

초급 단계

No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.

완료하는 데 약 37시간 필요

영어

자막: 영어

배울 내용

Describe the R programming language and its programming environment
Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors
Describe the options for generating visualizations in R
Demonstrate an understanding of the basic formatting R Markdown to create structure and emphasize content

귀하가 습득할 기술

R Programming
Data Analysis
Data Visualization (DataViz)
R Markdown
Rstudio

유연한 마감일

일정에 따라 마감일을 재설정합니다.

공유 가능한 수료증

완료 시 수료증 획득

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

다음 특화 과정의 8개 강좌 중 7번째 강좌:

Google 데이터 분석

초급 단계

No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.

완료하는 데 약 37시간 필요

영어

자막: 영어

강사

강사 평가

4.8/5 (1,350개의 평가)

Google Career Certificates
최고의 강사

3,859,312명의 학습자

202개의 강좌

제공자:

Google

Google Career Certificates are part of Grow with Google, an initiative that draws on Google's 20-year history of building products, platforms, and services that help people and businesses grow. Through programs like these, we aim to help everyone– those who make up the workforce of today and the students who will drive the workforce of tomorrow – access the best of Google’s training and tools to grow their skills, careers, and businesses.

강의 계획표 - 이 강좌에서 배울 내용

콘텐츠 평가97%(100,620개의 평가)

주

주 1

완료하는 데 8시간 필요

Programming and data analytics

R is a programming language that can help you in your data analysis process. In this part of the course, you’ll learn about R and RStudio, the environment you’ll use to work in R. You’ll explore the benefits of using R and RStudio as well as the components of RStudio that will help you get started.

완료하는 데 8시간 필요

6개 동영상 (총 36분), 8 개의 읽기 자료, 8 개의 테스트

6개의 동영상

Introduction to the exciting world of programming6m

Fun with R5m

Carrie: Getting started with R3m

Programming languages5m

Introduction to R 6m

Intro to RStudio 7m

8개의 읽기 자료

Course syllabus10m

The R-versus-Python debate10m

Learning Log: Get ready to explore R20m

Ways to learn about programming10m

From spreadsheets to SQL to R 10m

When to use RStudio10m

Connecting with other analysts in the R community10m

Glossary: Terms and definitions5m

8개 연습문제

Self-Reflection: Ask a question20m

Optional Hands-On Activity: Downloading and installing R1시간

Optional Hands-On Activity: R Console1시간

Test your knowledge on programming languages6m

Hands-On Activity: Cloud access to RStudio1시간

Optional Hands-On Activity: Get started in RStudio Desktop1시간

Test your knowledge on programming with RStudio6m

Weekly challenge 140m

주

주 2

완료하는 데 5시간 필요

Programming using RStudio

Using R can help you complete your analysis efficiently and effectively. In this part of the course, you’ll explore the fundamental concepts associated with R. You’ll learn about functions and variables for calculations and other programming. In addition, you'll discover R packages, which are collections of R functions, code and sample data that you’ll use in RStudio.

완료하는 데 5시간 필요

8개 동영상 (총 48분), 8 개의 읽기 자료, 7 개의 테스트

8개의 동영상

Programming using RStudio2m

Programming fundamentals8m

Operators and calculations5m

The gift that keeps on giving4m

Welcome to the tidyverse6m

주 3

완료하는 데 8시간 필요

Working with data in R

The R programming language was designed to work with data at all stages of the data analysis process. In this part of the course, you’ll examine how R can help you structure, organize, and clean your data using functions and other processes. You’ll learn about data frames and how to work with them in R. You’ll also revisit the issue of data bias and how R can help.

완료하는 데 8시간 필요

8개 동영상 (총 41분), 8 개의 읽기 자료, 8 개의 테스트

8개의 동영상

Data in R 1m

R data frames 4m

Working with data frames4m

Cleaning up with the basics 7m

Organize your data6m

Transforming data5m

Same data, different outcome5m

The bias function5m

8개의 읽기 자료

More about tibbles10m

Data-import basics10m

File-naming conventions10m

주 4

완료하는 데 9시간 필요

More about visualizations, aesthetics, and annotations

R is a tool well-suited for creating detailed visualizations. In this part of the course, you’ll learn how to use R to generate and troubleshoot visualizations. You’ll also explore the features of R and RStudio that will help you with the aesthetics of your visualizations and for annotating and saving them.

완료하는 데 9시간 필요

9개 동영상 (총 56분), 7 개의 읽기 자료, 9 개의 테스트

9개의 동영상

Visualizations in R2m

Visualization basics in R and tidyverse6m

Getting started with ggplot()10m

Joseph: Career path to people analytics3m

Enhancing visualizations in R8m

Doing more with ggplot8m

Aesthetics and facets5m

Annotation layer 6m

Saving your visualizations5m

7개의 읽기 자료

Common problems when visualizing in R10m

Aesthetic attributes10m

Smoothing10m

Filtering and plots 10m

Adding annotations in R10m

Saving images without ggsave()10m

Glossary: Terms and definitions5m

9개 연습문제

Hands-On Activity: Visualizing data with ggplot21시간

Hands-On Activity: Using ggplot1시간

Test your knowledge on data visualizations in R8m

Hands-On Activity: Aesthetics and visualizations 1시간

Hands-On Activity: Filters and plots1시간

Test your knowledge on aesthetics in analysis 8m

Hands-On Activity: Annotating and saving visualizations1시간

Test your knowledge on annotating and saving visualizations8m

Weekly challenge 450m

검토

4.8

789개의 리뷰

5 stars
82.50%
4 stars
13.82%
3 stars
2.34%
2 stars
0.63%
1 star
0.68%

DATA ANALYSIS WITH R PROGRAMMING의 최상위 리뷰

RR 제공2021년 10월 20일

The course was detailed and the instructor was the best by far. She explained a lot of concepts well and the hands-on activities got me interested in learning even more of R. Thanks Carrie!

NS 제공2022년 1월 22일

LOVE this course. I had 0 experience in R and this course was extremely easy to follow. Very happy I have another program to add to my resume and help me progress in my career as an analyst!

TD 제공2021년 6월 16일

Tough stuff! Trying to remember the correct syntax for filtering was stressful but I'm so grateful to learn R. Thank you for this introduction. The videos were good but the hands-on really helped me.

AR 제공2022년 2월 13일

Carrie's enthusiam for R was contagious. She provides clear and easy to understand explanations, and she is pleasant to listen to. It was easy to follow up. I am myself an R enthusiast now. Thank you!

모든 리뷰 보기

Google 데이터 분석 전문 자격증 정보

Prepare for a new career in the high-growth field of data analytics, no experience or degree required. Get professional training designed by Google and have the opportunity to connect with top employers. There are 380,000 U.S. job openings in data analytics with a $74,000 median entry-level salary.¹

Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. Over 8 courses, gain in-demand skills that prepare you for an entry-level job. You’ll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months. You’ll prepare yourself for jobs that include junior or associate data analyst, database administrator, and more. Upon completion of the certificate, you can directly apply for jobs with Google and over 150 U.S. employers, including Walmart, Best Buy, Astreya. 75% of Google Career Certificate Graduates in the United States report an improvement in their career trajectory (e.g. new job or career, promotion or raise) within 6 months of certificate completion² ¹US Burning Glass Labor Insight Report salary data (median with 0-5 years experience) and job opening data. Data for job roles relevant to featured programs (4/01/2021 - 3/31/22). ²Based on program graduate survey responses, United States 2021

자주 묻는 질문

강의 및 과제를 언제 이용할 수 있게 되나요?
강의 및 과제 이용 권한은 등록 유형에 따라 다릅니다. 청강 모드로 강좌를 수강하면 대부분의 강좌 자료를 무료로 볼 수 있습니다. 채점된 과제를 이용하고 수료증을 받으려면 청강 도중 또는 이후에 수료증 경험을 구매해야 합니다. 청강 옵션이 표시되지 않는 경우:
강좌에서 청강 옵션을 제공하지 않을 수 있습니다. 대신 무료 평가판을 사용하거나 재정 지원을 신청할 수 있습니다.
이 수료 과정을 구독하면 무엇을 이용할 수 있나요?
강좌를 등록하면 수료 과정의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며, 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.
What is data analytics?
Data is a group of facts that can take many different forms, such as numbers, pictures, words, videos, observations, and more. We use and create data everyday, like when we stream a show or song or post on social media.
Data analytics is the collection, transformation, and organization of these facts to draw conclusions, make predictions, and drive informed decision-making.
Why start a career in data analytics?
The amount of data created each day is tremendous. Any time you use your phone, look up something online, stream music, shop with a credit card, post on social media, or use GPS to map a route, you’re creating data. Companies must continually adjust their products, services, tools, and business strategies to meet consumer demand and react to emerging trends. Because of this, data analyst roles are in demand and competitively paid.
Data analysts make sense of data and numbers to help organizations make better business decisions. They prepare, process, analyze, and visualize data, discovering patterns and trends and answering key questions along the way. Their work empowers their wider team to make better business decisions.
Why enroll in the Google Data Analytics Certificate?
You will learn the skill set required for becoming a junior or associate data analyst in the Google Data Analytics Certificate. Data analysts know how to ask the right question; prepare, process, and analyze data for key insights; effectively share their findings with stakeholders; and provide data-driven recommendations for thoughtful action.
You’ll learn these job-ready skills in our certificate program through interactive content (discussion prompts, quizzes, and activities) in under six months, with under 10 hours of flexible study a week. Along the way, you'll work through a curriculum designed with input from top employers and industry leaders, like Tableau, Accenture, and Deloitte. You’ll even have the opportunity to complete a case study that you can share with potential employers to showcase your new skill set.
After you’ve graduated from the program, you’ll have access to career resources and be connected directly with employers hiring for open entry-level roles in data analytics.
What background is required?
No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.
Do you need to be strong at math to succeed in this certificate?
You don't need to be a math all-star to succeed in this certificate. You need to be curious and open to learning with numbers (the language of data analysts). Being a strong data analyst is more than just math, it's about asking the right questions, finding the best sources to answer your questions effectively, and illustrating your findings clearly in visualizations.
What tools and platforms are taught in the curriculum?
You'll learn to use analysis tools and platforms such as spreadsheets (Google Sheets or Microsoft Excel), SQL, presentation tools (Powerpoint or Google Slides), Tableau, RStudio, and Kaggle.
Will you be teaching R or Python?
This program teaches the open-source programming language, R. R is a great starting point for foundational data analysis, and offers helpful packages for beginners to apply to their projects. We do not cover Python in the curriculum but encourage you to explore Python after completion if you'd like to continue your learning journey.
Which “spreadsheet” platform is being taught?
Learners can self-select which platform they want to use throughout the program: Google Sheets or Microsoft Excel. It’s up to the learner’s preference, and all activities throughout the syllabus can be performed on either platform.
Do you need to take each course in course order?
We highly recommend completing the courses in the order presented because the content in each course builds on information from earlier lessons.

궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.

Data Analysis with R Programming