Data Analytics on Power BI

The "Data Analytics on MS Power BI" course is designed to empower you on your data analytics journey. It aims to equip you with the skills needed to process and analyze large-scale data and to effectively communicate the stories behind that data through immersive reports, visualizations, and dashboards in MS Power BI. This five-week course, composed of five modules, primarily covers the following topics: data cleansing, transformation, data wrangling and modeling with Power BI Desktop (exploring key technologies such as Power Query and Power Pivot), and data reporting, visualization, dashboard creation, and sharing with Power BI Service.

  • Course Outline:

    1. Introduction to Data Analytics on Power BI

    2. Getting started with MS Power BI

    3. Data Wrangling and Modelling with Power BI Desktop

    4. Creating Reports and Dashboards with Power BI Service

    5. Connecting Power BI Desktop with Power BI Service

    Learning Outcomes:

    On successful completion of this course, learners will be able to

    1. Access various data sources using Power BI Desktop and Service

    2. Perform data cleaning, preparation, and transformation with Power Query in Power BI Desktop

    3. Build immersive and insightful visualizations in Power BI Desktop

    4. Perform data modelling by linking disparate data sources together with Power Pivot in Power BI Desktop

    5. Build immersive and insightful reports, visualizations and dashboards with Power BI Service

    6. Share and collaborate with others through Power BI Service

    • Ability to speak, understand and write in English (CLB6).

    • Beginner level knowledge of Microsoft Excel is required. Satisfactory completion of Data Analytics on MS Excel course is highly recommended.

  • 1. Software

    • Windows 8.1 or later

    • Power BI Desktop: learners will learn how to install it on their computer during the course

    • Power BI Service / Power BI Pro (free or licensed version)

    2. Hardware:

    • 2 GB of RAM (minimum)

    • CPU: 1 GHZ or faster (64-bit processor).

  • Regular price: $528.00

    Alumni Rate: $475.20 (10% Off)

    Early Bird Rate: $422.40 (20% Off)

    Software not included.

  • Waldo Beauséjour is a seasoned senior data analyst with over a decade of experience in the field of data analytics. His extensive expertise spans various sectors, including government, international development, research organizations, the private sector, and healthcare. Waldo holds a Master’s degree in applied economics, equipping him with a robust foundation in quantitative methods. His passion for education and teaching has driven him to serve as a college instructor in Canada, a dedicated tutor and graduate assistant in the USA, and a respected university professor in his home country. He firmly believes that a strong grasp of statistics empowers individuals to interpret data with confidence, thereby enhancing their capacity to extract valuable insights for informed decision-making. This conviction has led him to dedicate a significant portion of his professional journey to training professionals in the field of data analytics and equipping them with the necessary tools for effective data analysis.

  • Course length: 5 weeks, 20h

    Schedule: Saturdays (9:00AM-2:00PM)

    Start Date: August 31, 2024

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