이 강좌는 Google 데이터 분석 전문 자격증의 일부입니다.

4.7
별점
14,227개의 평가

Google Career Certificates

최고의 강사

339,231명이 이미 등록했습니다.

제공자:

Google 데이터 분석 전문 자격증Google

이 강좌에 대하여

최근 조회 4,131,186회

This is the second course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. You’ll build on your understanding of the topics that were introduced in the first Google Data Analytics Certificate course. The material will help you learn how to ask effective questions to make data-driven decisions, while connecting with stakeholders’ needs. 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:
- Learn about effective questioning techniques that can help guide analysis. 
- Gain an understanding of data-driven decision-making and how data analysts present findings.
- Explore a variety of real-world business scenarios to support an understanding of questioning and decision-making.
- Discover how and why spreadsheets are an important tool for data analysts.
- Examine the key ideas associated with structured thinking and how they can help analysts better understand problems and develop solutions.
- Learn strategies for managing the expectations of stakeholders while establishing clear communication with a data analytics team to achieve business objectives.

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 2번째 강좌:

Google 데이터 분석

초급 단계

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

완료하는 데 약 22시간 필요

영어

자막: 영어

배울 내용

Explain how each step of the problem-solving road map contributes to common analysis scenarios.
Discuss the use of data in the decision-making process.
Demonstrate the use of spreadsheets to complete basic tasks of the data analyst including entering and organizing data.
Describe the key ideas associated with structured thinking.

귀하가 습득할 기술

Spreadsheet
Questioning
Decision-Making
Problem Solving
Data Analysis

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 2번째 강좌:

Google 데이터 분석

초급 단계

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

완료하는 데 약 22시간 필요

영어

자막: 영어

강사

강사 평가

4.76/5 (5,957개의 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 평가98%(272,746개의 평가)

주

주 1

완료하는 데 6시간 필요

Effective questions

To do the job of a data analyst, you need to ask questions and problem-solve. In this part of the course, you’ll check out some common analysis challenges and how analysts address them. You'll also learn about effective questioning techniques that can help guide your analysis.

완료하는 데 6시간 필요

8개 동영상 (총 35분), 8 개의 읽기 자료, 7 개의 테스트

8개의 동영상

Introduction to problem-solving and effective questioning 3m

Data in action5m

Nikki: The data process works2m

Common problem types5m

Problems in the real world6m

Anmol: From hypothesis to outcome2m

SMART questions7m

Evan: Data opens doors2m

8개의 읽기 자료

Course syllabus20m

Learning Log: Consider what data means to you20m

Deciding if you should take the speed track20m

Optional: Your diagnostic quiz score and what it means10m

From issue to action: The six data analysis phases20m

Six problem types20m

주 2

완료하는 데 5시간 필요

Data-driven decisions

In analytics, data drives decision-making. In this part of the course, you’ll explore data of all kinds and its impact on real-life choices and strategies. You’ll also learn how to share your data through reports and dashboards.

완료하는 데 5시간 필요

6개 동영상 (총 25분), 6 개의 읽기 자료, 5 개의 테스트

6개의 동영상

Data and decisions1m

How data empowers decisions5m

Qualitative and quantitative data4m

The big reveal: Sharing your findings5m

Data versus metrics3m

Mathematical thinking4m

6개의 읽기 자료

Data trials and triumphs20m

Qualitative and quantitative data in business10m

Learning Log: Ask SMART questions about real-life data sources20m

Designing compelling dashboards1시간 42분

Big and small data10m

Glossary: Terms and definitions10m

5개 연습문제

Test your knowledge on the power of data 8m

Self-Reflection: Dive deeper into dashboards20m

Test your knowledge on following the evidence8m

Test your knowledge on connecting the data dots6m

*Weekly challenge 2*40m

주

주 3

완료하는 데 7시간 필요

More spreadsheet basics

Spreadsheets are a very important data analytics tool. In this part of the course, you will learn about how data analysts use spreadsheets in their work every day. You will also explore why structured thinking helps analysts better understand problems and come up with solutions.

완료하는 데 7시간 필요

9개 동영상 (총 41분), 8 개의 읽기 자료, 8 개의 테스트

9개의 동영상

The amazing spreadsheet1m

Get to work with spreadsheets2m

Step-by-step in spreadsheets4m

Formulas for success7m

Spreadsheet errors and fixes7m

Functions 1016m

Before solving a problem, understand it2m

Scope of work and structured thinking4m

Staying objective4m

8개의 읽기 자료

Spreadsheets and the data life cycle20m

Learn more about spreadsheet basics 20m

Quick reference: Formulas in spreadsheets10m

More about spreadsheet errors and fixes20m

Quick reference: Functions in spreadsheets

The importance of context10m

Learning Log: Define problems and ask questions with data20m

Glossary: Terms and definitions10m

8개 연습문제

Hands-On Activity: Introduction to Google Sheets1시간

Test your knowledge on working with spreadsheets6m

Test your knowledge on using formulas in spreadsheets8m

Hands-On Activity: Create a Custom Data Table1시간

Test your knowledge on using functions in spreadsheets6m

Hands-On Activity: Create a scope of work1시간

Test your knowledge on structured thinking6m

*Weekly challenge 3*40m

주

주 4

완료하는 데 4시간 필요

Always remember the stakeholder

Successful data analysts learn to balance needs and expectations. In this part of the course, you’ll learn strategies for managing stakeholder expectations while establishing clear communication with your team.

완료하는 데 4시간 필요

15개 동영상 (총 52분), 6 개의 읽기 자료, 5 개의 테스트

15개의 동영상

Communicating with your team1m

Balancing needs and expectations across your team4m

Focus on what matters4m

Clear communication is key 4m

Tips for effective communication5m

Balancing expectations and realistic project goals4m

Sarah: How to communicate with stakeholders3m

The data tradeoff: Speed versus accuracy4m

Think about your process and outcome3m

Meeting best practices5m

Ximena: Joining a new team1m

From conflict to collaboration4m

Nathan: From the U.S. Marine Corps to data analytics3m

Course wrap-up25

Congratulations! 1m

6개의 읽기 자료

Working with stakeholders20m

Data scenarios and responses10m

Limitations of data20m

Leading great meetings10m

Glossary: Terms and definitions10m

Coming up next...10m

5개 연습문제

Test your knowledge on balancing team and stakeholder needs6m

Test your knowledge on clear communication10m

Test your knowledge on teamwork6m

*Weekly challenge 4*40m

*Course challenge*50m

검토

4.7

2120개의 리뷰

5 stars
78.65%
4 stars
16.96%
3 stars
3.14%
2 stars
0.66%
1 star
0.57%

ASK QUESTIONS TO MAKE DATA-DRIVEN DECISIONS의 최상위 리뷰

AS 제공2021년 8월 20일

i love the course as it helped me understand the importance of asking the right questions, understanding the problem and expectations of stakeholders and impotance and the right way of communicatilon.

ME 제공2022년 5월 17일

Relaly amazing course , It start from just the normal meaning of the question to everything that follows the word from meaning in Data Analysis process Thank you Google , Thank you Ximena .

KA 제공2021년 10월 3일

It’s a great course, helps, and in light me more than I expected in what to focus my question and who and when I ask especially the type of the question and the level of the people I should ask.

SQ 제공2021년 5월 5일

The best thing about this course is connecting the dots; How data is associated with communication. Not only focusing on knowledge limited to the scope of data but giving 360-degree knowledge.

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

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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.
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.

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Ask Questions to Make Data-Driven Decisions