![]() All you need to get started is basic computer literacy, high school level math, and access to a modern web browser such as Chrome or Firefox. This course does not require any prior data analysis, spreadsheet or computer science experience. This all comes together in the final project, where you will test your knowledge of the course material, explore what it means to be a data analyst, and provide a real-world scenario of data analysis. You will then learn how to clean, analyze and share your data using visualizations and dashboard tools. You will begin to explore the fundamentals of gathering data and learning how to identify your data sources. Throughout this course, you will learn the key aspects of data analysis. By the end of the course, you will be able to visualize the daily life of a data analyst, understand the different career paths available for data analytics, and identify the many resources available for mastering this profession. Continue this exciting journey and discover Big Data platforms such as Hadoop, Hive, and Spark. You will then uncover significant vendors within the data ecosystem and explore the various tools on-premise and in the cloud. You will be able to summarize the data ecosystem, such as databases and data warehouses. You will learn the responsibilities of a data analyst and what data analysis entails. This course will help you to differentiate between the roles of a data analyst, data scientist and data engineer. You will then learn the soft skills required to communicate your data to stakeholders and how mastering these skills can give you the option to become a data driven decision-maker. You will learn to understand the data ecosystem and the fundamentals of data analysis, such as data gathering or data mining. This course introduces the concepts of data analysis, the role of a data analyst, and the tools used to perform daily functions. There are eight courses in this certificate. ![]() Learn more about ACE approved college credit from OU. Throughout the program, you’ll complete hands-on projects and labs and gain a firm grasp on the technical skills required to effectively gather, wrangle, mine, and visualize data, as well as soft skills for working with stakeholders and storytelling with data to engage your audience.Īt the end of the program, you will complete a real-world capstone project specifically designed to showcase your newly learned data analyst skills.Īll these projects can be combined into a portfolio on GitHub or another service to clearly convey your experience and skills to potential employers. 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. You’ll also build the foundation for other data disciplines such as data science or data engineering. 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 various 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 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.
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