Business Data Analysis Masterclass with MS Power BI

Participants will learn, in a practical hands-on approach, how to effectively collect, analyze, interpret and visualize data for business decision making using Power BI technologies: Power query for data modelling and DAX.
  • ₦85,000.00
  • Sat. August 24th & Sat. August 31st
  • Vibranium Valley, 42 Local Airport Road, Ikeja.
Contact Us

Course Details

Course Description

This course aims to improve the decision-making process through a rigorous data analysis within the company, as well as to enable managers and analysts to draw insights from both quantitative and qualitative data. Participants will understand through practical learning, how to effectively collect, analyse and interpret data for a better decision-making process, based on historical data and trend analysis.

By attending this course, participants will gain both theoretical knowledge and practical skills in working with data. The course will give you expertise in business visualization techniques using Power BI. You will gain skills to visualize data and design dashboards. The entire learning experience is tied together with demos and projects. After completing all aspects of the training, you will be prepared for the role of data analyst.

Course Outline
  • Introduction to Data Analysis
  • Self-Assessment of our own Data Analytics
  • Data Analysis Process
  • Introduction to Power BI
  • Connecting to various data sources using Power BI Query Editor
  • Business Intelligence and Data Visualization
  • Using Data Analysis to drive decisions
Expected Outcomes
  • Understanding the data analytics concept
  • Use a wide variety of data for planning and decision-making purposes
  • Begin to develop abilities to use data to describe program operations and/or practices
  • Model data using Power BI
  • Develop reports using Power BI
  • Observe basic techniques of data analysis to real-life examples
  • Identify and articulate trends and patterns in data gathered overtime
Who should Attend?
  • Business Analysts
  • Business Managers
  • Business intelligence developers
  • BI Professionals
  • Data Analysts and Scientist
  • Students who are experienced with analysing data with Excel and who wish to improve BI techniques.
  • Senior Executives
  • Project Managers
  • IT Executives
  • Department / Functional Heads

Contact Us

Send us an Email

Contact Information

To speak with the Program Advising Team, please call