Leap into Power BI
Sep 27 // Oct 25 // Nov 22
The course will provide confidence in best practices for achieving the same functionality comparing other analysis platforms or explore more in Power BI.
Overview
Leap into Power BI is a one-day introduction for data analysts, developers, and engineers currently using different reporting platforms, showing them how to achieve the same functionality or explore more in Power BI. The course contains presentations and labs.
At the end of the day attendees will better understand:
- What is Power BI?
- Data connectivity and transformation in Power BI.
- How to perform calculations in Power BI.
- Organizing and simplifying data.
- Visualization.
- Analytics.
- Performance optimization.
BOOK YOUR COURSE
AUD 750
This is for 1 person per day.
We can also deliver and customise this training course for larger groups – saving your organisation time, money and resources. For more information, please send us an enquiry.
Key Topics
Within a day, you will have a chance to go through 5 important modules below:
What Is Included
Students will have access to their own desk, chair, and space in a classroom during the course.
Each participant is required to bring his or her own laptop for exercises (Hands-on Lab).
Peter O’Gorman – Head of Training
Peter has over 19 years working with data and business intelligence eco-systems serves as Managing Consultant for Cloudstreet in Darwin. He is a certified Microsoft Certified Trainer, Microsoft Certified Solution Associate, Certified Data Vault 2 Practitioner and Certified Prince 2 Foundation. Having used data-driven & AI ecosystems to solve the repetitive and mundane, he leads Innovation and Learning for Cloudstreet Consulting.
Coffee breaks and a light lunch are included every day. When registering, please communicate any dietary restrictions.
Each participant will receive materials for 1 day training, including printed workbooks and online labs.
Each attendee will receive a PDF certificate by email after completing the course.
Target Audience
The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI.
This course is also targeted toward those individuals who develop reports that visualise data from the data platform technologies that exist both in the cloud and on-premises.
Prerequisites
Successful Data Analysts start this role with experience of working with data in the cloud.
Specifically:
- Understanding core data concepts.
- Knowledge of working with relational data in the cloud.
- Knowledge of working with non-relational data in the cloud.
- Knowledge of data analysis and visualization concepts.
Prerequisite Courses (or equivalent knowledge):
- NA
Skills Gained
After completing this course, students will be able to:
- Ingest, clean, and transform data
- Model data for performance and scalability
- Design and create reports for data analysis
- Apply and perform advanced report analytics
- Manage and share report assets
- Create paginated reports in Power BI
NT Dataset
You will connect real public Crocodile Captures data in the Excel file, select the tables you want to use, and import them for transformation. Public and organisational datasets will often require understanding and shaping in order to make for interesting and useful analytics.
Power Query
Skills in Power Query are essential in being able to take charge of the clean-up and perhaps re-organisation of your input datasets. While you wait for the data owner to clean-up the data or provide it in another format, Power Query gives you the power to take this into your own hands and you will be surprised what you can do.
Offering NT’s Leading Microsoft Training Resources
Our trainees say
Your commitment, passion, and delivery were really amazing. We had a great start and the speed as well as intensity with which we rolled out globally over 3 years was unbelievable.
“Joining Cloudstreet Consulting gives me the opportunity and confidence to apply all the knowledge I had gained from school towards the IT industry”.
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