Developing your own project to display in your portfolio and resume.Cleaning, organizing, and transforming data with RĬourse 8: Google Data Analytics Capstone: Complete a Case Study.More formulas, functions, and pivot tablesĬourse 6: Share Data Through the Art of VisualizationĬourse 7: Data Analysis with R Programming.Data aggregation functions in Sheets and SQL.Organizing data for Sheets and Bigquery.Data cleaning with spreadsheets and SQLĬourse 5: Analyze Data to Answer Questions.Data formats, types, modeling, collectionĬourse 4: Process Data from Dirty to Clean.These topics cover the entire data analytics pipeline and give you the skills to develop your own projects.Ĭourse 1: Foundations: Data, Data, EverywhereĬourse 2: Ask Questions to Make Data-Driven Decisions Through the course, you're exposed to the most popular analytics tools: Google Sheets, SQL, R, and Tableau. The course video content is well-organized, professional, and exciting, and with so many students enrolled, there's an active community for questions and answers. Out of all the courses I could find, this series by Google is the most comprehensive. companies committed to considering graduates for entry-level analytics positions. Google states that certificate holders will have access to an Employer Consortium, which comprises 150 U.S. This highly-rated course from Google covers a wide range of topics and is designed to "have you job-ready in less than six months," according to their description. Get all the details here.Īs always, reach out to me if you have any questions of feedback.Complete beginners looking for a broad introduction to data analytics focused on Google products. There is even more free learning to be had, you can join the IBM Data Science Community and get a complimentary month of select IBM programs on Coursera. IBM offers a wide-range of Data and AI courses that will help you to hone your expertise, check out the resources on the Data and AI Learning Community. Get more details on the IBM Data Analyst Professional Certificate course. Module 8: IBM Data Analyst Capstone Project.Module 7: Data Visualization with Python.Module 5: Databases and SQL for Data Science. Module 4: Python for Data Science and AI.Module 3: Data Visualization and Dashboards with Excel and Cognos.Module 2: Excel Basics for Data Analysis.Module 1: Introduction to Data Analytics.There are 8 courses in this Professional Certificate: You’ll also build the foundation for other data disciplines such as data science or data engineering. Upon successful completion of this program, you’ll have analyzed real-world datasets, created interactive dashboards, and presented reports to share your findings, giving you the confidence and the portfolio to begin a career as an associate or junior data analyst. All you need to get started is basic computer literacy, high school math, comfort working with numbers, willingness to learn, and a desire to enrich your profile with valuable skills. This Professional Certificate does not require any prior programming or statistical skills, and is suitable for learners with or without college degrees. You’ll work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics, gaining practical experience with data manipulation and applying analytical techniques. Power your data analyst career by learning the core principles of data analysis and gaining hands-on skills practice. Gain the job-ready skills for an entry-level data analyst role through this eight-course Professional Certificate from IBM and position yourself competitively in the thriving job market for data analysts, which will see a 20% growth until 2028 (U.S. Unlock your potential in data analytics by participating in the IBM Data Analyst Professional Certificate course on Coursera.
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