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Updated in [June 30th, 2023]

What skills and knowledge will you acquire during this course?
This course, Introduction to Data Analytics, will provide learners with the skills and knowledge to perform basic analytics tasks. Learners will be introduced to the OSEMN cycle for analytics projects, and will learn to use spreadsheets and SQL queries to manipulate datasets. They will also be introduced to using the Python programming language to manipulate datasets as an alternative to spreadsheets. Additionally, learners will learn how to use Tableau to create data visualizations and dashboards. By the end of this course, learners should be able to state business goals, KPIs and associated metrics; apply a Data Analysis Process: OSEMN; identify and define the relevant data to be collected for marketing; compare and contrast the different formats and use cases of different kinds of data; identify gaps in data collected and describe the strengths and weaknesses; demonstrate proficiency in Python with variables, control flow, loops, and basic data structures; sort, query and structure data in spreadsheets and with Python libraries; write basic SQL statements to select, group and filter data; visualize data patterns and trends with spreadsheets; and utilize Tableau to visualize data patterns and trends.

How does this course contribute to professional growth?
This course, Introduction to Data Analytics, provides learners with the necessary skills and knowledge to pursue a career in data analytics. Learners will be introduced to the OSEMN cycle for analytics projects, and will learn to perform data analytics tasks using spreadsheets and SQL queries. They will also be introduced to using the Python programming language to manipulate datasets as an alternative to spreadsheets. Additionally, learners will learn how to use Tableau to create data visualizations and dashboards. By the end of this course, learners should be able to apply the knowledge and skills acquired to their own data analytics projects. This course will contribute to professional growth by providing learners with the skills and knowledge to pursue a career in data analytics. Learners will gain an understanding of the fundamentals of data analysis, data mining, data visualization, and machine learning. They will also learn to use a variety of tools and techniques to collect, clean, and analyze data, as well as to create data visualizations. Additionally, learners will gain an understanding of the ethical and legal implications of data analytics.

Is this course suitable for preparing further education?
This course, Introduction to Data Analytics, provides learners with a practical understanding and a framework to guide the execution of basic analytics tasks. It is designed for people who want to learn the basics of data analytics, and don't need marketing or data analysis experience. Upon completion of this course, learners should be able to apply the knowledge and skills acquired to their own data analytics projects. This course is suitable for preparing further education, as it provides learners with the skills and knowledge to analyze data and develop insights that can be used to inform business decisions. Additionally, the recommended educational path for learners who have completed this course is to pursue a Bachelor's degree in Data Analytics, which will provide learners with a comprehensive understanding of data analytics.