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It covers foundational concepts of data analytics, including data cleaning, analysis, and visualization using tools such as spreadsheets, SQL, R, and Tableau. It also describes progressive coursework that introduces R programming, teaches visualization and storytelling through Tableau, and culminates in a capstone case study that prepares learners for data-analyst job searching by building portfolios and practicing interview scenarios. 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The program is designed for learners who want to enter introductory-level data analyst roles.","Answer",{"name":111,"@type":106,"acceptedAnswer":112},"What key skills are introduced in the Foundations course?",{"text":113,"@type":109},"Learners build understanding of junior/associate data analyst practices and develop analytical skills like data cleaning, data analysis, and data visualization, using tools such as spreadsheets, SQL, R, and Tableau.",{"name":115,"@type":106,"acceptedAnswer":116},"What does the capstone course require for the job search portfolio?",{"text":117,"@type":109},"Learners complete an analytics-based case study by choosing a scenario, answering questions, preparing and processing the data, analyzing and visualizing results, and then using the work to strengthen their portfolio and job interview preparation.","https://schema.org",{"og:url":78,"og:type":120,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":122,"canonical":78},"index,follow",{"doc_id":124,"site_id":56},248603,1791432921,{"code":4,"msg":5,"data":127},{"doc_id":124,"user_id":128,"nickname":88,"user_avatar":129,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":130,"file_id":131,"file_url":132,"file_type":133,"file_size":134,"view_count":35,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":135,"language":136,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":137,"faqs":138,"seo_title":139,"seo_description":61,"update_tm":140,"read_time":141},1099514067438,"https://ap-avatar.wpscdn.com/avatar/100002539ee87300030?x-image-process=image/resize,m_fixed,w_180,h_180&k=1780474512215547542","| Habilidad | Course Name | Difficulty Level | Avg Total\u003Cbr>Learning Hours | Course Description | Course Language |\n| --- | --- | --- | --- | --- | --- |\n| Google Data Analytics | Google Data Analytics Capstone: Complete a Case Study | BEGINNER | 2.1 | This course is the eighth and final 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.\\n\\nLearners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.\\n\\nBy the end of this course, learners will:\\n-Learn the benefits and uses of case studies and portfolios in the job search.\\n-Explore real world job interview scenarios and common interview questions.\\n-Discover how case studies can be a part of the job interview process. \\n-Examine and consider different case study scenarios. \\n-Have the chance to complete your own case study for your portfolio. | English |\n| Google Data Analytics | Foundations: Data, Data, Everywhere | BEGINNER | 10.7 | 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 handson ways to accomplish common data analyst tasks using the best tools and resources.\\n\\nLearners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.\\n\\nBy the end of this course, learners will:\\n-Gain an understanding of the practices and processes employed by a junior or associate data analyst in their day-to-day job. \\n-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. \\n-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. \\n-Evaluate the role of analytics in the data ecosystem. \\n-Conduct an analytical thinking self-assessment. \\n-Explore job opportunities available to you upon program completion, and learn about best practices you can leverage during your job search. | English |\n| Google Data Analytics | Data Analysis with R Programming | BEGINNER | 10.5 | This course is the seventh course in the Google Data Analytics Certificate. In this course, you’ll learn about the programming language known as R. You’ll find out how to use RStudio, the environment that allows you to work with R, and the software applications and tools that are unique to R, such as R packages. You’ll discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways. 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.\\n\\nLearners who complete this certificate program will be equipped","cbCaiijKhnDWUgWc","https://ap.wps.com/l/cbCaiijKhnDWUgWc","pdf",846716,175,"English","# Course Catalog\n## Foundations: Data, Data, Everywhere\n## Data Analysis with R Programming\n## Share Data Through the Art of Visualization\n## Google Data Analytics Capstone: Complete a Case Study","[{\"question\":\"Is prior experience required to start these beginner courses?\",\"answer\":\"No previous experience is necessary. The program is designed for learners who want to enter introductory-level data analyst roles.\"},{\"question\":\"What key skills are introduced in the Foundations course?\",\"answer\":\"Learners build understanding of junior/associate data analyst practices and develop analytical skills like data cleaning, data analysis, and data visualization, using tools such as spreadsheets, SQL, R, and Tableau.\"},{\"question\":\"What does the capstone course require for the job search portfolio?\",\"answer\":\"Learners complete an analytics-based case study by choosing a scenario, answering questions, preparing and processing the data, analyzing and visualizing results, and then using the work to strengthen their portfolio and job interview preparation.\"}]","Google Data Analytics Certificate - Beginner Course Overview | PDF",1789246889,61]