Professional Certificate – 8 course seriesPrepare 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 483,000 open jobs in data analytics with a median entry-level salary of $92,000.¹Data 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. Upon completion, you can directly apply for jobs with Google and over 150 U.S. employers, including Deloitte, Target, Verizon, and of course, Google. 75% of certificate graduates report a positive career outcome (e.g., new job, promotion, or raise) within six months of completion²¹Lightcast™ US Job Postings (2022: Jan. 1, 2022 – Dec. 31, 2022)²Based on program graduate survey, United States 2022Applied Learning ProjectThis 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 visualizationPlatforms and tools you will learn include: Presentations, Spreadsheets, SQL, Tableau and R ProgrammingIn 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.
Foundations: Data, Data, EverywhereCourse 1•18 hours•4.8 (104,518 ratings)Course detailsWhat you'll learnDefine 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.Skills you'll gainCategory: SpreadsheetSpreadsheetCategory: Data IntegrityData IntegrityCategory: Sample Size DeterminationSample Size DeterminationCategory: SQLSQLCategory: Data CleansingData CleansingAsk Questions to Make Data-Driven DecisionsCourse 2•21 hours•4.7 (31,858 ratings)Course detailsWhat you'll learnExplain 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.Skills you'll gainCategory: Data AnalysisData AnalysisCategory: Creating case studiesCreating case studiesCategory: Data VisualizationData VisualizationCategory: Data CleansingData CleansingCategory: Developing a portfolioDeveloping a portfolioPrepare Data for ExplorationCourse 3•24 hours•4.8 (20,310 ratings)Course detailsWhat you'll learnExplain 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.Skills you'll gainCategory: Decision-MakingDecision-MakingCategory: SpreadsheetSpreadsheetCategory: Data AnalysisData AnalysisCategory: Problem SolvingProblem SolvingCategory: QuestioningQuestioningProcess Data from Dirty to CleanCourse 4•26 hours•4.8 (16,269 ratings)Course detailsWhat you'll learnDefine 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.Skills you'll gainCategory: Data AnalysisData AnalysisCategory: R MarkdownR MarkdownCategory: Data VisualizationData VisualizationCategory: R ProgrammingR ProgrammingCategory: RstudioRstudioAnalyze Data to Answer QuestionsCourse 5•32 hours•4.6 (10,992 ratings)Course detailsWhat you'll learnDiscuss 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.Skills you'll gainCategory: Data AggregationData AggregationCategory: SpreadsheetSpreadsheetCategory: Data AnalysisData AnalysisCategory: Data CalculationsData CalculationsCategory: SQLSQLShare Data Through the Art of VisualizationCourse 6•25 hours•4.6 (8,860 ratings)Course detailsWhat you'll learnDescribe 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.Skills you'll gainCategory: Data CollectionData CollectionCategory: SpreadsheetSpreadsheetCategory: MetadataMetadataCategory: SQLSQLCategory: Data EthicsData EthicsData Analysis with R ProgrammingCourse 7•34 hours•4.8 (10,223 ratings)Course detailsWhat you'll learnDescribe the R programming language and its programming environment.Explain the fundamental concepts associated with programming in R including functions, variables, data types, pipes, and vectors.Describe the options for generating visualizations in R.Demonstrate an understanding of the basic formatting in R Markdown to create structure and emphasize content.Skills you'll gainCategory: Data AnalysisData AnalysisCategory: Tableau SoftwareTableau SoftwareCategory: Data VisualizationData VisualizationCategory: PresentationPresentationGoogle Data Analytics Capstone: Complete a Case StudyCourse 8•14 hours•4.8 (15,149 ratings)Course detailsWhat you'll learnIdentify 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.Skills you'll gainCategory: SpreadsheetSpreadsheetCategory: Data AnalysisData AnalysisCategory: SQLSQLCategory: Data VisualizationData VisualizationCategory: Data CleansingData Cleansing
