Take the first step towards becoming a data analyst today.

With the vast amount of data obtainable in the present day, companies struggle with making sense of it all to make good decisions. This is why Data Analysts are one of the most widely sought after professionals in the international community.

Data Analysts play a key role in helping organizations make data-driven decisions. They help organizations make sense of raw data to advance product development, boost productivity, and enhance the customer experience.

In this course, you will discover the concepts of data analytics, the role of a data analyst, and the tools that are used to perform daily functions. You will also learn the soft skills that are required to effectively communicate your data to stakeholders.

Enrol today to join our upcoming cohort.

Course Outline

• This course will provide fundamental knowledge, including beginner to advanced level information and topics, on proper data analysis with Power BI.
• The course can be taken as a step in learning about roles in cloud data services and Microsoft Azure such as Data Engineer or Data Scientist, before taking further Microsoft Azure or Microsoft cloud services courses.
• This course will cover general data ingestion and data cleansing processes as well as proper and important data model and visualization steps, touching on topics including performance, scalability, and best practices.
• The course will then cover the concept of pure data analysis using the tools and visuals available within Power BI.
• It will also cover core maintenance and administrative topics including security, asset management, and data refresh scenarios.

Learning Objectives

In this course students will learn about:

• Data ingestion and preparation,
• Data modeling and optimization,
• Data visualization and insights,
• Data analysis and discovery, and
• Security and asset management

Course Requirements

• No knowledge of coding required
• No prior job experience on tech required
• A genuine desire to learn about Data Analytics
• A PC, large screen preferably
• Secure connection to Internet