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Google Data Analytics 专业证书

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Google Data Analytics 专业证书

Get on the fast track to a career in Data Analytics.

In this certificate program, you’ll learn in-demand skills, and get AI training from Google experts. Learn at your own pace, no degree or experience required.

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灵活的计划
6 月 在 10 小时 一周
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来自此计划中课程的 179,759 条评论

初级 等级

推荐体验

灵活的计划
6 月 在 10 小时 一周
自行安排学习进度
攻读学位

您将学到什么

  • 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, Python, Tableau)

  • Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and Python

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

您将获得的技能

  • 类别:Data Analysis
  • 类别:Data Cleansing
  • 类别:Data Ethics
  • 类别:Data Presentation
  • 类别:Data Storytelling
  • 类别:Data Structures
  • 类别:Data Validation
  • 类别:File Management
  • 类别:Interactive Data Visualization
  • 类别:Interviewing Skills
  • 类别:Object Oriented Programming (OOP)
  • 类别:Sampling (Statistics)
  • 类别:Spreadsheet Software
  • 类别:Stakeholder Communications
  • 类别:Data Visualization
  • 类别:Web Presence

您将学习的工具

  • 类别:Ggplot2
  • 类别:Google Sheets
  • 类别:LinkedIn
  • 类别:Rmarkdown

要了解的详细信息

可分享的证书

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授课语言:英语(English)

专业认证 - 9门课程系列

Foundations: Data, Data, Everywhere

Foundations: Data, Data, Everywhere

第 1 门课程, 小时

您将学到什么

  • Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems.

  • Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking.

  • Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics.

  • Describe the role of a data analyst with specific reference to jobs.

您将获得的技能

类别:Data Analysis
类别:SQL
类别:Data-Driven Decision-Making
类别:Spreadsheet Software
类别:Analytical Skills
类别:Data Ethics
类别:Data Literacy
类别:Analytics
类别:Data Sharing
类别:Data Cleansing
类别:Data Processing
类别:Tableau Software
类别:Query Languages
类别:Data Visualization Software
类别:Data Visualization
Ask Questions to Make Data-Driven Decisions

Ask Questions to Make Data-Driven Decisions

第 2 门课程, 小时

您将学到什么

  • Explain how the problem-solving road map applies to typical 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.

您将获得的技能

类别:Smart Goals
类别:Dashboard
类别:Stakeholder Management
类别:Data-Driven Decision-Making
类别:Problem Solving
类别:Analysis
类别:Data Entry
类别:Quantitative Research
类别:Stakeholder Communications
类别:Analytical Skills
类别:Data Analysis
类别:Spreadsheet Software
类别:Communication Strategies
类别:Expectation Management
Prepare Data for Exploration

Prepare Data for Exploration

第 3 门课程, 小时

您将学到什么

  • Explain what 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.

您将获得的技能

类别:Relational Databases
类别:Unstructured Data
类别:File Management
类别:Metadata Management
类别:Data Ethics
类别:Data Collection
类别:SQL
类别:Data Security
类别:Data Management
类别:Data Storage
类别:Google Sheets
类别:Data Import/Export
类别:Databases
类别:Data Quality
类别:Data Access
Process Data from Dirty to Clean

Process Data from Dirty to Clean

第 4 门课程, 小时

您将学到什么

  • Define different types of data integrity and identify risks to data integrity.

  • Apply basic SQL functions to clean string variables in a database.

  • Develop basic SQL queries for use on databases.

  • Describe the process of verifying data cleaning results.

您将获得的技能

类别:Data Cleansing
类别:Data Integrity
类别:Data Quality
类别:Data Transformation
类别:SQL
类别:Sampling (Statistics)
类别:Analytics
类别:Data Validation
类别:Sample Size Determination
类别:Google Sheets
类别:Spreadsheet Software
Analyze Data to Answer Questions

Analyze Data to Answer Questions

第 5 门课程, 小时

您将学到什么

  • Discuss the importance of organizing your data before analysis by using sorts and filters.

  • Convert and format data.

  • Apply the use of functions and syntax to create SQL queries to combine data from multiple database tables.

  • Describe the use of functions to conduct basic calculations on data in spreadsheets.

您将获得的技能

类别:SQL
类别:Data Manipulation
类别:Spreadsheet Software
类别:Excel Formulas
类别:Pivot Tables And Charts
类别:Data Validation
类别:Database Management
类别:User Feedback
类别:Query Languages
类别:Data Quality
类别:Data Integration
类别:Data Analysis
类别:Data Synthesis
类别:Consolidation
类别:Data Transformation
类别:Google Sheets
类别:Analytical Skills
Share Data Through the Art of Visualization

Share Data Through the Art of Visualization

第 6 门课程, 小时

您将学到什么

  • Describe the use of data visualizations to talk about data and the results of data analysis.

  • Identify Tableau as a data visualization tool and understand its uses.

  • Explain what data driven stories are including reference to their importance and their attributes.

  • Explain principles and practices associated with effective presentations.

您将获得的技能

类别:Interactive Data Visualization
类别:Tableau Software
类别:Data Storytelling
类别:Data Visualization
类别:Data Presentation
类别:Dashboard Creation
类别:Data Visualization Software
类别:Web Content Accessibility Guidelines
类别:Design Elements And Principles
类别:Driving engagement
类别:Dashboard
类别:Color Theory
类别:Presentations
类别:Data Analysis
Introduction to Data Analysis Using Python

Introduction to Data Analysis Using Python

第 7 门课程, 小时

您将学到什么

  • Explain how Python is used by data professionals

  • Explore basic Python building blocks, including syntax and semantics

  • Understand loops, control statements, and string manipulation

  • Use data structures to store and organize data 

您将获得的技能

类别:Python Programming
类别:Code Reusability
类别:Pandas (Python Package)
类别:NumPy
类别:Object Oriented Programming (OOP)
类别:Scripting
类别:Data Analysis
类别:Analytical Skills
类别:Data Manipulation
类别:Data Cleansing
类别:Analytics
类别:Data Structures
类别:Programming Principles
Google Data Analytics Capstone: Complete a Case Study

Google Data Analytics Capstone: Complete a Case Study

第 8 门课程, 小时

您将学到什么

  • Identify the key features and attributes of a completed case study.

  • Apply the practices and procedures associated with the data analysis process to a given set of data.

  • Discuss the use of case studies/portfolios when communicating with recruiters and potential employers.

  • Gain a competitive edge by learning AI skills from Google experts.

  • 利用人工智能提升数据分析技能
  • 接住人工智能清理和准备数据
  • 利用人工智能整理数据和构建公式
  • 利用人工智能帮助您更有效地提出问题
  • 利用人工智能创建引人入胜的数据可视化效果
  • 借助 AI 改进 R 代码

您将获得的技能

类别:Case Studies
类别:Interviewing Skills
类别:LinkedIn
类别:Web Presence
类别:Data Visualization Software
类别:Data Cleansing
类别:Presentations
类别:Analytical Skills
类别:Spreadsheet Software
类别:Analytics
类别:Portfolio Management
类别:Analysis
类别:AI Enablement
类别:Data Analysis
类别:Artificial Intelligence
类别:Data Visualization
类别:Data Processing
Accelerate Your Job Search with AI

Accelerate Your Job Search with AI

第 9 门课程, 小时

您将学到什么

  • Uncover your skills and explore new career possibilities, with support from tools like Career Dreamer.

  • Keep your applications organized with Google Sheets.

  • Build a stand out resume and a step-by-step job search plan—with help from Gemini.

  • Prepare for interviews and practice responding to questions using NotebookLM and Gemini Live.

您将获得的技能

类别:Prompt Engineering Tools
类别:Generative AI
类别:Google Gemini
类别:Branding
类别:Web Presence
类别:Prompt Engineering
类别:Interviewing Skills
类别:Professional Development
类别:AI literacy

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

攻读学位

当您完成本 专业证书后,如果您被以下在线学位课程录取并注册,您的学习成绩可能会被承认为学分¹。

位教师

Google Career Certificates
Google Career Certificates
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¹Lightcast™ 的美国职位招聘(具备 0 到 5 年工作经验人群的工资中位数),2022 年 1 月 1 日至 2022 年 12 月 31 日。 ²获得证书后 6 个月内即可实现职业提升(如获得新工作、晋升或加薪)。根据美国 2022 年研究生课程的调查结果。