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Updated in [August 13th, 2023]

Skills and Knowledge Acquired:
This course will provide learners with the skills and knowledge necessary to become a successful Data Analyst. Learners will gain an understanding of the data analysis process, including gathering, cleaning, analyzing, and sharing data. They will also become familiar with the data ecosystem, including databases, data warehouses, data marts, data lakes, and data pipelines. Additionally, learners will learn about Big Data platforms such as Hadoop, Hive, and Spark. Finally, learners will be able to communicate their insights through visualizations and dashboard tools.


Contribution to Professional Growth:
This course provides a comprehensive introduction to the field of Data Analysis, equipping learners with the skills and knowledge necessary to pursue a career in the field. It covers the roles and responsibilities of a Data Analyst, the tools used in the job, and the data ecosystem. Learners will gain an understanding of the fundamentals of the data analysis process, including gathering, cleaning, analyzing, and sharing data, as well as communicating insights with the use of visualizations and dashboard tools. The course culminates in a final project that tests learners' knowledge of the course material and provides a real-world scenario of data analysis tasks. Through this course, learners will gain the skills and knowledge necessary to pursue a career in Data Analysis, helping them to achieve professional growth.


Suitability for Further Education:
This course is suitable for preparing further education in the field of Data Analysis. It provides a comprehensive introduction to the role of a Data Analyst, the tools used in the job, and the data ecosystem. It also covers topics such as Big Data platforms, data gathering, cleaning, analyzing, and sharing, and visualizations and dashboard tools. The final project provides a real-world scenario of data analysis tasks, allowing learners to test their knowledge of the course material. This course does not require any prior data analysis, spreadsheet, or computer science experience, making it suitable for those with no prior knowledge.