For Non-IT Professionals
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+47 412 86 050
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service@siteracademy.no
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Microsoft Power BI Data Analyst Certification - PL300
Onsite Event - Job Oriented
How Long?
2 months hands-on training
For Whom?
For Researchers, Business, Finance, Medical and Healthcare Professionals
Attention International Participants!!
Candidates from outside the Schengen Zone must have a Schengen visa in order to enter Norway and take part in this event.
Candidates from outside the Schengen Zone must have a Schengen visa in order to enter Norway and take part in this event.
Just why are you attending this program?
PL300-Certification Exam
PL300-Certification Exam
Click HereExam Prep Video
Exam Prep Video
Click HereWho Train You?
Who Train You?
Click HereProgram Fee 499 USD
Registration
PL300 Certification Program
$699
$
499
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2 Months Hands on Training
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Use of research based tools & technologies
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Project & Internship
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Course Completion Certificate
early bird
Industry Standard program
Our Program Speciality
In our program, we adhere to Microsoft's official curriculum. The enrolled candidates will receive training from the Microsoft Certified Trainer.
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Blended Learning
In Person Live Instructor Training, Pre-Recorded Lecture Videos, Demos & Labs.
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Placements
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2 Months Training Program
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Access to Microsoft Labs for the practical
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Certificate of Course Completion
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Microsoft Exam Voucher - FREE
Everything from data movement to data science, Real-Time Analytics, and business intelligence.
Bootcamp Venue
towards the goal
3 Stages of the Training Program
PL300 Microsoft Certification
Program Features
You can analyze your research data, business data, deal with Artificial Intelligence & Machine Learning workloads and business intelligence.
Admission Time
A special program, utilize this opportunity
Total Duration
2 Months Training, Project and Internship
Program Benefits
Hands-on Training
Microsoft Certification
Where?
Conducting Onsite (In Person Bergen, Norway)
Do you want to talk with our Program Advisor?
Take an appointment for 30-Minutes FREE Consultation?
PL-300 Microsoft Power BI Data Analyst Associate
What is Included?
Support & Delivery
#1 - Course Delivery
#2 - Onsite Workshops
#3 - e-Learning Material Access
#4 -- Post-Program Support
#1 - Course Delivery
- (1) 25 hours of live lecture demo during the training program
- (2) Access to Self-Paced Course for the pre-recorded video lectures, materials and demos.
- (3) Microsoft Labs for the practical
- (4) Research based learning
#2 - Onsite Workshops
- (1) Cloud Computing Fundamentals
- (2) GIT Version Control System
- (3) Big Data Analytics
#3 - e-Learning Material Access
- (1) Availability of PPT Slides, Recorded Lessons, Tutorials, Reference Links, Practice Labs and How-To Guides in e-learning portal.
- (2) You will have 60 days access to use the e-learning portal for self-practice to help you becoming skilled.
#4 -- Post-Program Support
- Microsoft Career Path:
- Microsoft Certification Career Path (Consultation by appointment)
- Git Portfolio
- We’ll give you the direction you need to ensure that the finished project is included to your Git portfolio.
- Talent Pool
- The course completed candidates will be part of SITER Talent Pool.
Course Coverage?
Microsoft's Official Curriculum
Skills Measured
(1) Prepare the Data
(2) Model the Data
(3) Visualize & Analyze Data
(4) Manage & Secure Power BI
Skills Measured
- (1) Prepare the data
- (2) Model the data
- (3) Visualize and analyze the data
- (4) Manage and secure Power BI
(1) Prepare the Data
Connecting to Data`
- Identify and connect to data sources or shared semantic models
- Configure data source settings (credentials, privacy levels)
- Choose between DirectQuery and Import mode
- Create and modify parameters
Profiling & Cleaning Data
- Evaluate data using statistics and column properties
- Resolve inconsistencies, null values, and quality issues
- Fix data import errors
Transforming & Loading Data
- Define appropriate data types
- Create and modify columns
- Aggregate and group rows
- Pivot, unpivot, and transpose data
- Convert semi-structured data into tables
- Design fact and dimension tables
- Configure keys and relationships
- Merge and append queries
(2) Model the Data
Designing & Implementing a Data Model
- Configure table and column properties
- Implement role-playing dimensions
- Define relationship cardinality & cross-filtering
- Create common date tables
- Use calculated columns & tables
Building DAX Calculations
- Create aggregations, time intelligence measures, and semi-additive measures
- Use functions like CALCULATE, statistical functions, and quick measures
- Implement calculation groups
Optimizing Performance
- Remove unnecessary rows & columns
- Identify and fix slow-performing measures, relationships, and visuals
- Reduce data granularity
(3) Visualize & Analyze Data
Creating Reports
- Select and configure visuals
- Apply themes, formatting, and filters
- Configure report pages & navigation
- Use DAX for visual calculations
Enhancing Report Usability
- Configure bookmarks, custom tooltips, and navigation
- Apply sorting, drillthrough, and sync slicers
- Design mobile-friendly reports
- Enable personalized visuals & accessibility features
Identifying Trends & Patterns
- Use AI visuals, clustering, and binning
- Apply reference lines, forecasting, and outlier detection
(4) Manage & Secure Power BI
Managing Workspaces & Content
- Create and configure workspaces
- Publish, import, or update reports and dashboards
- Choose the right content distribution methods
- Schedule data refreshes
Securing & Governing Power BI
- Assign workspace roles & access controls
- Implement row-level security (RLS)
- Apply sensitivity labels
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