The business intelligence (BI) sector is expanding rapidly, and an increasing number of hiring managers and recruiters are looking for professionals who are not only proficient in BI tools but also possess certifications to back up their claims.
If you want to remain competitive in the analytics job market, getting certified in Power BI is a must. Certifications do exactly that, they endorse the skills that cannot be measured on a resume, portfolio, or in an interview, and employers need to know that you can use their BI stack without training.
This Power BI masterclass will give you all the skills you need to jump-start your journey. You will be able to communicate more effectively and discover deeper insights if you master Power BI. You will also gain the self-assurance to lead more BI projects and deal with difficult business problems.
By the end of this Power BI Masterclass, you’ll have a firm understanding of the basic skills required for using Power BI to acquire and transform data, enhance the data for analysis, and produce reports and dashboards.
Power BI is a business analytics tool designed for data driven people to simplify the path from data to insights. It offers data warehouse capabilities including data preparation, data discovery and interactive dashboards.
This course starts with the general end-to-end workflow using Power BI, then conveys tactics for loading and working with your data to enable analysis. In addition, you’ll learn powerful techniques specialized to Power BI, such as creating calculated measures with Data Analysis eXpressions (DAX).
No prior experience in programming is required.
If you are in search of a unique learning experience this is the place for you. We guarantee you will learn market-aligned skills through our practical and comprehensive curriculum.
Students are required to dedicate 4 days to learning for them to succeed in this course.
Find out the pacing options available, price, and more information about this course.
At the end of the course all learners will:
Ready to take your first step in starting a career in Data Analytics?