This is the first course in the Google Data Analytics Certificate. 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 using 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:
- Gain an understanding of the practices and processes employed 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 you can leverage during your job search.
Data helps us make decisions in both everyday life and in business. In this part of the course, you’ll learn how data analysts use a variety of tools and skills to inform those decisions. You’ll also get to know more about this course and the overall program expectations.
涵盖的内容
14个视频11篇阅读材料5个作业2个插件
显示有关单元内容的信息
14个视频•总计63分钟
Welcome to the Google Data Analytics Certificate•9分钟
Introduction to the course•5分钟
Get started with your Google Data Analytics Certificate•2分钟
Data analytics in everyday life•4分钟
Cassie: Dimensions of data analytics•5分钟
What is the data ecosystem? •5分钟
How data informs better decisions•4分钟
Discover data skill sets•1分钟
Key data analyst skills•6分钟
All about thinking analytically •5分钟
Explore core analytical skills•4分钟
Data drives successful outcomes •5分钟
Witness data magic•6分钟
What to expect moving forward•2分钟
11篇阅读材料•总计72分钟
Course 1 overview•8分钟
Helpful resources and tips•4分钟
Evaluate your current data analytics skills•8分钟
New data perspectives•8分钟
How data analysts approach tasks•8分钟
Origins of the data analysis process•8分钟
Data and gut instinct•4分钟
Use data analytics skills in a business scenario•8分钟
Use the five whys for root cause analysis•8分钟
Glossary terms from course 1, module 1•4分钟
Assessment-taking strategies•4分钟
5个作业•总计94分钟
Module 1 challenge•40分钟
Identify data types in a spreadsheet •30分钟
Test your knowledge on the data ecosystem•8分钟
Test your knowledge on data analyst skills•8分钟
Test your knowledge on analytical thinking and outcomes•8分钟
2个插件•总计20分钟
Google Data Analytics Certificate participant entry survey•10分钟
Practice data analyst skills•10分钟
The wonderful world of data
第 2 单元•小时 后完成
单元详情
In this part of the course, you'll learn about the data life cycle and data analysis process. They are both relevant to your work in this program and on the job. You’ll also be introduced to applications that help guide data through the data analysis process.
涵盖的内容
5个视频5篇阅读材料5个作业1个插件
显示有关单元内容的信息
5个视频•总计26分钟
Learn about data phases and tools•2分钟
Stages of the data life cycle•5分钟
The phases of data analysis and this program•6分钟
Molly: Example of the data analysis process•6分钟
Explore data analyst tools•6分钟
5篇阅读材料•总计26分钟
Variations of the data life cycle•8分钟
More on the phases of data analysis and this program•8分钟
Key data analyst tools•4分钟
Choose the right tool for the job•4分钟
Glossary terms from course 1, module 2•2分钟
5个作业•总计94分钟
Module 2 challenge •50分钟
Test your knowledge on the data life cycle•8分钟
Test your knowledge on the data analysis process•8分钟
Self-Reflection: Review past concepts•20分钟
Test your knowledge on the data analysis toolbox•8分钟
1个插件•总计10分钟
Phases of data analysis•10分钟
Set up your data analytics toolbox
第 3 单元•小时 后完成
单元详情
Spreadsheets, query languages, and data visualization tools are all a big part of a data analyst’s job. In this part of the course, you’ll learn the basic concepts to use them for data analysis. You’ll also understand how they work through interesting examples.
涵盖的内容
6个视频6篇阅读材料4个作业
显示有关单元内容的信息
6个视频•总计24分钟
The ins and outs of core data tools•2分钟
Make spreadsheets your friend•9分钟
SQL in action•4分钟
Angie: Everyday struggles when learning new skills•2分钟
Become a data viz whiz•6分钟
Lilah: The power of a visualization•2分钟
6篇阅读材料•总计34分钟
Step-by-Step: Make spreadsheets your friend•4分钟
More spreadsheet resources•4分钟
SQL guide: Getting started•8分钟
Endless SQL possibilities•8分钟
Plan a data visualization•8分钟
Glossary terms from course 1, module 3•2分钟
4个作业•总计126分钟
Module 3 challenge•50分钟
Hands-On Activity: Generate a chart from a spreadsheet•60分钟
Test your knowledge on spreadsheet basics•8分钟
Test your knowledge on SQL and data visualization •8分钟
Become a fair and impactful data professional
第 4 单元•小时 后完成
单元详情
In this part of the course, you’ll examine different types of businesses and the jobs and tasks that analysts do for them. You’ll also learn how a Google Data Analytics Certificate will help you meet many of the requirements for an analyst position with these organizations.
涵盖的内容
11个视频7篇阅读材料4个作业1个插件
显示有关单元内容的信息
11个视频•总计36分钟
Let's get down to business•1分钟
The job of a data analyst•5分钟
Joey: Path to becoming a data analyst•2分钟
Tony: Supporting careers in data analytics•2分钟
The power of data in business•4分钟
Rachel: Data detectives•2分钟
Understand data and fairness•6分钟
Alex: Fair and ethical data decisions•3分钟
Data analysts in different industries•6分钟
Samah: Interview best practices•3分钟
Congratulations! Course wrap-up •3分钟
7篇阅读材料•总计40分钟
Consider fairness•8分钟
Data analyst roles and job descriptions•8分钟
Beyond the numbers: A data analyst journey•14分钟
Glossary terms from course 1, module 4•2分钟
Join the community •2分钟
Course 1 glossary•2分钟
Coming up next...•4分钟
4个作业•总计88分钟
Module 4 challenge•40分钟
Self-Reflection: Business use of data•20分钟
Self-Reflection: Business cases•20分钟
Test your knowledge on making fair business decisions•8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.
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5·
已于 May 13, 2022审阅
I really love how they explain concepts about data, share experience , easy to understand and improved my foundation about data. The assignments and quizzes really helped me in undestanding the course
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已于 Jun 25, 2023审阅
Having little certificates along the way helps me feel accomplished and proud of myself. reaching smaller goals along the way to my large goal is exciting and makes me excited to learn the next steps.
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As a beginner I am feeling great to choose this course. All the concepts has been presented in such a easy and simple manner, everything is perfectly arranged that's make ease our learning. Thank you.
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.
What background is required?
No prior experience with spreadsheets or data analytics required. All you need is high school level math and 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 the 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 like about asking the right questions, finding the best sources to answer your question effectively and illustrating your findings clearly in visualizations.
What ‘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 entirely up to the learner’s preference, and all activities throughout the syllabus can be performed on either platform.
What tools or platforms are included 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.
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.
Will this program teach R or Python?
This program teaches the open-source programming language, Python. The data analysis landscape is rapidly evolving, with Python solidifying its position as the industry-standard language for data manipulation, analysis, and visualization. This program will prepare you to meet the increased demand for Python skills in data analytics roles. We do not cover R programming in the curriculum but encourage learners to explore R after completion if they'd like to continue their learning journey.
Do I need to take the course in a certain 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.