2021/2022 xxx6 Applied Data Analytics Læringsutbytte Knowledge Upon completion of the course, the student can: describe the process of gathering and sampling data from various data sources, define data types and structures and explain their uses in data analysis, define conditional statements and loops and explain their use in data analysis, interpret selected descriptive statistics and data visualizations, explain elements of algorithmic thinking and discuss key findings from research on the relation between business/data analytics and business value. Skills Upon completion of the course, the student can: access and collect local and web-based data, create and manipulate data sets and shape them for further analyses, analyse the prepared data using descriptive statistics, visualizations, regression models and various business intelligence tools for data analysis and summarize key insights from data analyses into user-friendly reports. General competence Upon completion of the course, the student can: plan and manage data analytics projects which involve the topics covered in the course and recommend computing tools and techniques for efficient implementation of such projects. Innhold This course provides students with a solid foundation within applied data analytics and programming. The following topics are covered. Data sources and data types Data organization and descriptive statistics Data visualization Probability and statistical interference Linear regression Business intelligence tools for data analysis Arbeids- og undervisningsformer The following teaching methods are used. Lectures Problem solving sessions Tutorial videos Case studies Quizzes Obligatoriske krav som må være godkjent før eksamen kan avlegges Students must pass three out of four mandatory course requirements to be allowed to take the exam. 50% attendance in classes is required. Eksamen A four-hour individual exam under attendance. Tillatte hjelpemidler til eksamen Open book: The use of all software and programming tools used in the course and installed on the student’s computer is permitted.