This is your path to a career in data analytics. In this program, you’ll learn in-demand skills that will have you job-ready in less than 6 months. No degree or experience required.

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Google Career Certificates

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Google 数据分析專業證書Google

您將學到的內容有

Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job

Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau)

Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming

Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms

您將獲得的技能

Spreadsheet
Data Cleansing
Data Analysis
Data Visualization (DataViz)
SQL
Questioning
Decision-Making
Problem Solving
Metadata
Data Collection
Data Ethics
Sample Size Determination

關於此專業證書

2,229,328 次近期查看

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

應用的學習項目

This program includes over 180 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world data analytics scenarios that are critical for success in the workplace. The content is highly interactive and exclusively developed by Google employees with decades of experience in data analytics. Through a mix of videos, assessments, and hands-on labs, you’ll get introduced to analysis tools and platforms and key analytical skills required for an entry-level job.

Skills you’ll gain will include: Data cleaning, problem solving, critical thinking, data ethics, and data visualization

Platforms and tools you will learn include: Presentations, Spreadsheets, SQL, Tableau and R Programming

In addition to expert training and hands-on projects, you'll complete a case study that you can share with potential employers to showcase your new skill set. Learn concrete skills that top employers are hiring for right now.

可分享的證書

完成後獲得證書

100% 在線課程

立即開始，按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

初級

No degree or prior experience required

完成課程大約需要 6 個月

建議進度：10 小時/週

英語（English）

字幕：英語（English）

可分享的證書

完成後獲得證書

100% 在線課程

立即開始，按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

初級

No degree or prior experience required

完成課程大約需要 6 個月

建議進度：10 小時/週

英語（English）

字幕：英語（English）

專業證書是什麼？

塑造技能，做好工作準備

無論您是想開始新的職業生涯，還是改變目前職業，Coursera 專業證書都能幫您為開始工作做好準備。選擇最適合的時間和地點，自行安排學習進度。立即註冊，探索新的職業道路，可免費試用 7 天。您可以隨時暫停學習或結束訂閱。

實踐項目

將您的技能應用到實踐項目，並豐富您的簡歷內容，進而向潛在雇主展示您已為開始工作做好準備。您需要成功完成項目以獲得證書。

獲得職業證書

當完後計劃中的所有課程後，您將獲得一張證書。您可以將其在專業網絡上分享，並獲得使用職業支持資源的權限，這能夠為您開啟職業生涯提供助力。許多招聘合作夥伴認可我們的許多專業證書，並且我們還有許多合作夥伴可以幫助您準備認證考試。您可以在適用的各個專業證書頁面上找到更多信息。

此專業證書包含 8 門課程

課程1

課程 1

Foundations: Data, Data, Everywhere

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This is the first course in the Google Data Analytics Certificate. These courses will equip you with the skills you need to apply to introductory-level data analyst jobs. Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make thoughtful decisions. In this course, you’ll be introduced to the world of data analytics through hands-on curriculum developed by Google. The material shared covers plenty of key data analytics topics, and it’s designed to give you an overview of what’s to come in the Google Data Analytics Certificate. Current Google data analysts will 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: - Gain an understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job. - Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. - Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. - Evaluate the role of analytics in the data ecosystem. - Conduct an analytical thinking self-assessment. - Explore job opportunities available to you upon program completion, and learn about best practices in the job search.

課程2

課程 2

Ask Questions to Make Data-Driven Decisions

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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.

課程3

課程 3

Prepare Data for Exploration

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1,099 條評論

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.

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: - Find out how analysts decide which data to collect for analysis. - Learn about structured and unstructured data, data types, and data formats. - Discover how to identify different types of bias in data to help ensure data credibility. - Explore how analysts use spreadsheets and SQL with databases and data sets. - Examine open data and the relationship between and importance of data ethics and data privacy. - Gain an understanding of how to access databases and extract, filter, and sort the data they contain. - Learn the best practices for organizing data and keeping it secure.

課程4

課程 4

Process Data from Dirty to Clean

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948 條評論

This is the fourth 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 continue to build your understanding of data analytics and the concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL as well as how to verify and report your data cleaning results. 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 be able to do the following: - Learn how to check for data integrity. - Discover data cleaning techniques using spreadsheets. - Develop basic SQL queries for use on databases. - Apply basic SQL functions for cleaning and transforming data. - Gain an understanding of how to verify the results of cleaning data. - Explore the elements and importance of data cleaning reports.

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Google Career Certificates
頂尖授課教師

3,532,384 個學生

155 門課程

提供方

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.

常見問題

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我可以只注册一门课程吗？
可以！点击您感兴趣的课程卡开始注册即可开始学习。注册并完成课程后，您可以获得可共享的证书，或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某证书的一部分，系统会自动为您订阅完整的证书。访问您的学生面板，跟踪您的进度。
此课程是 100% 在线学习吗？是否需要现场参加课程？
此课程完全在线学习，无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。
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. Data analytics is the collection, transformation, and organization of these facts in order to draw conclusions, make predictions, and drive informed decision making. Companies need data analysts to sort through this data to help make decisions about their products, services or business strategies.
Why start a career in data analytics?
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.
What kind of companies hire Data Analytics professionals?
Organizations of all kinds, in industries as varied as entertainment, finance, health care, tech, and more, need data analysts to help them improve their processes and launch new products.
How much does this certificate cost?
In the U.S. and Canada, Coursera charges $39/month after the initial 7 day free trial period. The certificate can be completed in less than 6 months of part time study, meaning most learners complete for under $300 USD. In other countries where the IT Support Certificate is available, your cost may be lower. Google does not generate any revenue from Google Career Certificates and has made need-based financial assistance available.
Is this program offered in other languages?
This certificate is currently available globally in English. You can also find Google Career Certificates available globally in the following languages: Turkish, German, Spanish, Arabic, Russian, and Indonesian Bahasa. We are working on adding more languages soon. Please continue to check back here for updates.
What background knowledge is necessary?
None! Whether you’re completely new to the job field or have had some exposure, a Google Career Certificate is the right program for you.
Do I need to take the courses in a specific order?
We highly recommend taking the courses of each certificate program in the order presented, as the content builds on information from earlier courses.
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 learners to explore Python after completion if they'd like to continue their learning journey.
Which jobs does this program prepare for?
One of the most exciting parts of being a data analyst is the number of opportunities available. Nearly every company has the ability to collect data, and the amount of data is growing larger and larger. This has led to a higher demand for employees who can organize and analyze data to unearth insights. Organizations have trouble recruiting for positions that require data analysis skills, and demand for these jobs will continue to increase, with about 11.5 million data related jobs being created in the U.S. by 2026 (BLS).
A career in data analytics allows you the opportunity to specialize, this just means you’ll be focused on in-depth knowledge for an specific industry and your day to day work will revolve around problem solving for that industry. Some common titles can include: Junior Data Analyst, Junior Data Scientist, HR/Payroll Analyst, Finance Analyst, Operations Analyst, Business Intelligence Analyst, Healthcare Analyst and many more.
What will I be able to do upon completing the professional certificate?
Google Career Certificates are designed to prepare you for an entry-level role in job fields like data analytics, digital marketing & e-commerce, IT support, project management, and UX design. Upon completion of a Google Career Certificate, like this one, certificate graduates in the U.S. will have the option to share their information with top U.S. employers that are hiring entry-level professionals, like Deloitte, Macy’s, Infosys, Walmart and of course, Google. Employer consortiums are currently available in the U.S., Canada, India, Singapore, Indonesia and are coming to more countries soon. The employers included will vary by country.
What resources will be available to help with the job search process?
In addition to expert-led training and hands-on projects designed to prepare you for a job, you'll get access to interview tips, mock interviews and resume building workshops, career coaching sessions and more. You'll also be able to connect with over 150 U.S. employers who are searching for candidates who have completed a Google Career Certificate.
Why did Google create this program?
Google had long faced an issue that many other companies also contend with: we had open IT Support roles, and not enough qualified candidates to fill them. So we built and tested a training program to provide pathways to jobs in technical support at Google, for people with no college degree or experience. In 2018, Google launched the IT Support Career Certificate, so that this training could be available to everyone. Since then, thousands of people have completed the program, making it the top professional certificate program on Coursera. 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 completion.¹
When we saw the positive impact this program was having on people all over the world, we wanted to expand into additional fast-growing, high-paying career fields – Project Management, Data Analytics and UX Design. These certificates, built and taught by Google, are designed to prepare people from all backgrounds for jobs where there is great demand for qualified candidates. Like the IT Support Certificate, no degree or relevant experience is required, and at the completion of the program, graduates will be able to connect directly with over 150 U.S. employers who are accepting Google Career Certificates for open jobs.
¹Based on program graduate survey responses, United States 2021
Can I get college credit for taking the Google Data Analytics Certificate?
Those planning to attend a degree program can utilize ACE®️ recommendations, the industry standard for translating workplace learning to college credit. Learners can earn a recommendation of 12 college credits for completing the Data Analytics Certificate, the equivalent of 4 college courses at the bachelor’s degree level. This aims to help open up additional pathways to learners who are interested in higher education, and prepare them for entry-level jobs.
To share proof of completion with schools, certificate graduates will receive an email prompting them to claim their Credly badge, which contains the ACE®️ credit recommendation. Once claimed, they will receive a competency-based transcript that signifies the credit recommendation, which can be shared directly with a school from the Credly platform. Please note that the decision to accept specific credit recommendations is up to each institution and is not guaranteed.

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