This course is the eighth course in the Google Data Analytics Certificate. You’ll have the opportunity to complete a case study, which will help prepare you for your data analytics job hunt. Case studies are commonly used by employers to assess analytical skills. For your case study, you’ll choose an analytics-based scenario. You’ll then ask questions, prepare, process, analyze, visualize and act on the data from the scenario. You’ll also learn about useful job hunting skills, common interview questions and responses, and materials to build a portfolio online. 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, learners will:
- Learn the benefits and uses of case studies and portfolios in the job search.
- Explore real world job interview scenarios and common interview questions.
- Discover how case studies can be a part of the job interview process.
- Examine and consider different case study scenarios.
- Have the chance to complete your own case study for your portfolio.
- Learn AI skills from Google experts to help complete data analytics tasks.
A capstone is a crowning achievement. In this part of the course, you’ll be introduced to capstone projects, case studies, and portfolios, and will learn how they help employers better understand your skills and capabilities. You’ll also have an opportunity to explore the online portfolios of real data analysts.
涵盖的内容
3个视频6篇阅读材料2个作业
显示有关单元内容的信息
3个视频•总计14分钟
Introducing the capstone project•5分钟
Rishie: What employers look for in data analysts•3分钟
Best-in-class•7分钟
6篇阅读材料•总计96分钟
Course 8 overview•12分钟
Helpful resources and tips•4分钟
Explore portfolios •20分钟
Your portfolio and case study checklist•20分钟
Revisit career paths in data•20分钟
Next steps•20分钟
2个作业•总计30分钟
Data journal: Prepare for your project•20分钟
Test your knowledge on professional case studies•10分钟
Optional: Build your portfolio
第 2 单元•小时 后完成
单元详情
In this part of the course, you’ll review two possible tracks to complete your case study. You can use a dataset from one of the business cases provided or search for a public dataset to develop a business case for an area of personal interest. In addition, you'll be introduced to several platforms for hosting your completed case study.
涵盖的内容
3个视频9篇阅读材料1个作业1个插件
显示有关单元内容的信息
3个视频•总计7分钟
Get started with your case study•3分钟
Unlimited potential with analytics case studies•1分钟
Share your portfolio •3分钟
9篇阅读材料•总计134分钟
Introduction to building your portfolio •10分钟
Choose your case study track•20分钟
Track A details •10分钟
Case Study 1: How does a bike-share navigate speedy success?•20分钟
Case Study 2: How can a wellness company play it smart?•20分钟
Track B details •10分钟
Case Study 3: Follow your own case study path•20分钟
Resources to explore other case studies•20分钟
Create your online portfolio•4分钟
1个作业•总计60分钟
Hands-On Activity: Add your portfolio to Kaggle•60分钟
1个插件•总计10分钟
Capstone roadmap•10分钟
Optional: Use your portfolio
第 3 单元•小时 后完成
单元详情
Your portfolio is meant to be seen and explored. In this part of the course, you’ll learn how to discuss your portfolio and highlight specific skills in interview scenarios. You’ll also create and practice an elevator pitch for your case study. Finally, you’ll discover how to position yourself as a top applicant for data analyst jobs with useful and practical interview tips.
涵盖的内容
6个视频4篇阅读材料1个作业
显示有关单元内容的信息
6个视频•总计27分钟
Discussing your portfolio•4分钟
Scenario video: Introductions•7分钟
Scenario video: Case study •6分钟
Scenario video: Problem-solving•3分钟
Scenario video: Negotiating terms •3分钟
Nathan: VetNet and giving advice to vets•3分钟
4篇阅读材料•总计70分钟
Introduction to sharing your work•10分钟
The interview process•20分钟
Scenario video series introduction•20分钟
Negotiate your contract•20分钟
1个作业•总计20分钟
Self-Reflection: Polish your portfolio•20分钟
Put your certificate to work
第 4 单元•小时 后完成
单元详情
Earning your Google Data Analytics Certificate is a badge of honor. It's also a real badge. In this part of the course, you'll learn how to claim your certificate badge and display it in your LinkedIn profile. You'll also be introduced to job search benefits that you can claim as a certificate holder, including access to the Big Interview platform and Byteboard interviews.
涵盖的内容
10个视频9篇阅读材料2个作业1个插件
显示有关单元内容的信息
10个视频•总计28分钟
Myles: Driving impact with AI in the workplace•2分钟
Boost your data analytics skills with AI•6分钟
Clean and prepare data with help from AI•3分钟
Organize data and build formulas using AI•5分钟
Use AI to help you ask more effective questions•2分钟
Create engaging data visualizations with AI•3分钟
Introducing Google AI Essentials•1分钟
Congratulations on completing your Capstone Project! •1分钟
From all of us ...•1分钟
Explore professional opportunities•3分钟
9篇阅读材料•总计90分钟
Introduction to AI in Data Analytics•10分钟
Use generative AI to work smarter and faster•8分钟
Use AI to improve your Python code•8分钟
Key takeaways from AI for Data Analytics•8分钟
Take the next step with Google AI Essentials•20分钟
Showcase your work •8分钟
Claim your Google Data Analytics Certificate badge•4分钟
Expand your data career expertise•20分钟
Resources for Google Data Analytics Certificate graduates•4分钟
2个作业•总计47分钟
Activity: Use generative AI to explore data visualizations•45分钟
Grow with Google is an initiative that draws on Google's decades-long history of building products, platforms, and services that help people and businesses grow. 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.
确定
人们为什么选择 Coursera 来帮助自己实现职业发展
Felipe M.
自 2018开始学习的学生
''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情,我就可以学习。'
Jennifer J.
自 2020开始学习的学生
''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'
Larry W.
自 2021开始学习的学生
''如果我的大学不提供我需要的主题课程,Coursera 便是最好的去处之一。'
Chaitanya A.
''学习不仅仅是在工作中做的更好:它远不止于此。Coursera 让我无限制地学习。'
学生评论
4.8
19,598 条评论
5 stars
82.77%
4 stars
14.11%
3 stars
1.99%
2 stars
0.54%
1 star
0.56%
显示 3/19598 个
C
CO
5·
已于 Jan 12, 2024审阅
Are you interested in Data Analytics?
If yes, I suggest you enrol and complete the Google Data Analytics Certificate program via Coursera. The Google Data Analytics Certificate program is top-notch.
S
SB
5·
已于 Aug 12, 2022审阅
I found a new passion in data analytics. I already signed up for a data analytics boot camp to further develop my data analytics team. Thank you to the amazing Google team that taught the courses.
M
MK
5·
已于 Dec 24, 2024审阅
I m veryyyy happy .I build my learn skill through this course thank u all teams n teacher coach for support me .thank u this a big chance for me .now I will be bright and good future of my kidsss
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, Python, 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.
Why would I choose to complete the optional capstone project in this certificate?
In the data analyst job hunt, it’s important to demonstrate that you’re able to ask the right questions and that you have the right skills to find the answers. Hiring managers often want proof that you can apply concepts in a meaningful way. Because of this, during the job application process, many employers ask for a link to a portfolio. Our optional capstone project will help learners produce meaningful artifacts for employers to reference during the job interview process. Learners will be encouraged to post these on a public Kaggle portfolio or on GitHub.
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.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Certificate?
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.