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Power BI Intermediate

Take your Power BI skills to the next level with this intermediate-level course, covering advanced data modeling, time intelligence, scripting visuals, report and dashboard design, and basic statistical analysis. Expand your knowledge and master new features to enhance your data analysis capabilities.

  • Intermediate
  • 18 and older
  • $995
  • 2 Park Ave, New York, NY
  • 13 hours & 30 minutes over 2 sessions

Start Dates (2)

  • $995
  • ONLC Grand Central Station @ 2 Park Ave 20th Fl, New York, NY 10016
  • 13 hours & 30 minutes over 2 sessions
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  • Thu, Apr 18 at 10:00am - 4:45pm
  • Fri, Apr 19 at 10:00am - 4:45pm
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  • Wed, May 08 at 10:00am - 4:45pm
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Class Description

Description

What you'll learn in this power bi class:

This course is intended as a continuation of our introductory-level courses in Power BI (20778: Analyzing Data with Power BI and/or Excel BI Tools: Power BI for Excel Users ). It covers common intermediate-level tasks and some of Power BI’s most desireable new features.


Prerequisites

Before attending this course, students should have: - General knowledge equivalent to what is covered in 20778: Analyzing Data with Power BI .

At Course Completion

After completing this course, students will be able to:

• Import data from PDFs, regions of web pages, and collections of files

• Characterize data with data profiling

• Merge mismatched data sets with fuzzy matching

• Generate custom columns in Power Query

• Perform advanced data modeling

• Use Power BI time intelligence

• Work with custom scripts in R and Python

• Create KPIs and scorecards

• Use advanced report design techniques

• Use advanced dashboard design techniques

• Perform basic statistical analysis in Power BI

Course Outline

Intermediate Power Query

  • Importing from PDFs
  • Finding data in web pages
  • Getting tabular data
  • Getting data by providing an example
  • Importing the contents of a folder
  • Using fuzzy matching to combine disparate data sets
  • Creating custom columns in Power Query
  • Common math & string operations
  • M script
  • Columns by example

Intermediate Data Modeling

  • Adding What-If Parameters
  • Grouping and Binning
  • Using Time Intelligence
  • Generating DAX with Quick Measures

Script Visuals

  • Creating an R script visual
  • Installing an R environment
  • Creating a Python visual
  • Installing a Python environment

Advanced Report Design

  • Using report themes
  • Creating your own theme
  • Conditional formatting in tables and matrices
  • Using drillthrough in your reports
  • Adding data-driven images

Advanced Dashboard Design

  • Using dashboard themes
  • Using the KPI visual
  • Using the Multi KPI visual
  • Adding KPIs and trend analysis with DAX
  • Strategies for adding KPIs to tables & matrices
  • Importing from Excel data model
  • Conditional formatting
  • The DAX UNICHAR function
  • Image embedding

Analytics

  • Characterizing your data
  • Revisiting the data profiler
  • Getting help from custom visuals
  • Moving averages
  • ARIMA
  • Linear regression in R
  • Time series forecasting in Python


Refund Policy

Cancellation / Reschedule by Student

Because we must schedule rooms, ship course materials, assign instructors and provision computer resources well in advance, it is important students alert us ASAP with any cancel/reschedule requests.

Please note the following policies:

  • If requested 16 or more calendar days before the class
    • Cancellation requests made in this timeframe are eligible for refund less 5% cancellation fee.
    • Reschedule requests made in this timeframe will be accommodated if availability exists and will be processed at no additional charge.
  • If requested 15 calendar days or less before the class
    • Cancellation or Reschedule requests made by the student 15 calendar days or less before the class starts will be charged 100% the course fee and are not entitled to a refund.

Substitutions

  • If you are unable to attend your class, a substitute who meets the course prerequisites may attend in your place at no additional charge for the original class title, date and location. If you cannot find a substitute, you will be subject to the class cancellation policy.

Make-up Policy

Students are permitted one (1) Make-Up opportunity to attend an instructor-led class that was paid for but not previously attended for no additional charge.

  • Make-Up class registrations are subject to availability and are not entitled to refund.
  • Students may not reschedule a Make-up class registration.
  • Any no shows or cancellations forfeit their one Make-up opportunity.

Additionally, ONLC reserves the right to retire courses due to lack of demand. Retired classes are not available for Make-Up.

In the event that an instructor or the school needs to cancel at the last minute, students will receive a refund less a 5% non-refundable registration fee.

In any event where a customer wants to cancel their enrollment and is eligible for a full refund, a 5% processing fee will be deducted from the refund amount.

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