This is the third course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. As you continue to build on your understanding of the topics from the first two courses, you’ll also be introduced to new topics that will help you gain practical data analytics skills. You’ll learn how to use tools like spreadsheets and SQL to extract and make use of the right data for your objectives and how to organize and protect your data. 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.
제공자:
Google 데이터 분석 전문 자격증Google이 강좌에 대하여
최근 조회 3,161,136회
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 3번째 강좌:
초급 단계
No experience with spreadsheets or data analytics is required. All you need is high-school level math skills and a curiosity about how things work.
완료하는 데 약 25시간 필요
영어
자막: 영어
배울 내용
Explain factors to consider when making decisions about data collection
Discuss the difference between biased and unbiased data
Describe databases with references to their functions and components
Describe best practices for organizing data
귀하가 습득할 기술
- Spreadsheet
- Metadata
- Data Collection
- Data Ethics
- SQL
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 3번째 강좌:
초급 단계
No experience with spreadsheets or data analytics is required. All you need is high-school level math skills and a curiosity about how things work.
완료하는 데 약 25시간 필요
영어
자막: 영어
제공자:
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
완료하는 데 7시간 필요
Data types and structures
We all generate lots of data in our daily lives. In this part of the course, you’ll check out how we generate data and how analysts decide which data to collect for analysis. You’ll also learn about structured and unstructured data, data types, and data formats as you start thinking about how to prepare your data for exploration.
완료하는 데 7시간 필요
9개 동영상 (총 31분), 10 개의 읽기 자료, 8 개의 테스트
완료하는 데 4시간 필요
Bias, credibility, privacy, ethics, and access
When data analysts work with data, they always check that the data is unbiased and credible. In this part of the course, you’ll learn how to identify different types of bias in data and how to ensure credibility in your data. You’ll also explore open data and the relationship between and importance of data ethics and data privacy.
완료하는 데 4시간 필요
12개 동영상 (총 36분), 4 개의 읽기 자료, 6 개의 테스트
완료하는 데 9시간 필요
Databases: Where data lives
When you’re analyzing data, you’ll access much of the data from a database. It’s where data lives. In this part of the course, you’ll learn all about databases, including how to access them and extract, filter, and sort the data they contain. You’ll also check out metadata to discover the different types and how analysts use them.
완료하는 데 9시간 필요
12개 동영상 (총 48분), 8 개의 읽기 자료, 11 개의 테스트
완료하는 데 3시간 필요
Organizing and protecting your data
Good organization skills are a big part of most types of work, and data analytics is no different. In this part of the course, you’ll learn the best practices for organizing data and keeping it secure. You’ll also learn how analysts use file naming conventions to help them keep their work organized.
완료하는 데 3시간 필요
4개 동영상 (총 11분), 4 개의 읽기 자료, 4 개의 테스트
검토
- 5 stars80.79%
- 4 stars16.05%
- 3 stars2.32%
- 2 stars0.37%
- 1 star0.45%
PREPARE DATA FOR EXPLORATION의 최상위 리뷰
SS 제공2022년 3월 18일
The Instructor is very well. The way she explained everything was so lovely. Overall content was beutifull and her way of explaining things was quite better than others. Highly Recommended.
DD 제공2021년 7월 4일
Thank you for the course! It's a nice introduction to SQL and Google Big Query as well as the concepts of data privacy and security. The course also offers some great tips for professional networking.
SP 제공2021년 7월 3일
Too many obvious information for a person who has prior experience with data. Please cut the course short for those who already have grip over these concepts. Anyways, it is helpful and great.
DR 제공2021년 5월 26일
The course has a lot of theory, but they also include a lot of practical examples. They are slowly introducing more practice. Really liked it. I was looking for more practical exercises.
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
자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
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환불 규정은 어떻게 되나요?
Why start a career in data analytics?
Why enroll in the Google Data Analytics Certificate?
What background is required?
Do you need to be strong at math to succeed in this certificate?
What tools and platforms are taught in the curriculum?
Which “spreadsheet” platform is being taught?
Do you need to take each course in order?
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