The Complete Power BI Interview Guide: A modern approach to acing the data analyst interview and landing your dream job 9781805120674

Table of contents :
The Complete Power BI Interview Guide
Contributors
About the authors
About the reviewers
Preface
Who this book is for
What this book covers
To get the most out of this book
Download the example files
Conventions used
Get in touch
Share Your Thoughts
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Part 1:Getting Your First Interview
Chapter 1: Exposing Your Profile
The power of networking
The six-grade theory
Boosting your LinkedIn profile
A quick guide to polishing your resume
Be sure it has the correct keywords
Focus on what you achieved rather than what you did
Add relevant links
Choose a consistent format
Read it several times
Layout matters
Solving the picture dilemma
Creating a personal project portfolio
Get sample data for your Power BI reports
Time to play with data
Validating your skills
You can become outdated
Confidence sentiment
Being a role model for others
Learn by teaching
Start in your environment
Talks and communities
Summary
Additional reading
Chapter 2: Support Skills for Power BI Developers
Technical requirements
Importance of SQL for a data analyst
Logical process in SQL
Joining tables
Programming languages
NumPy
Pandas
Plotly
Scikit-learn
Design skills for a data analyst
Affordable design
Accessible design
Aesthetic design
Soft skills
Communication and collaboration
Problem solving
Critical thinking
Research
Attention to detail
Summary
Part 2: Beyond the Borders of Power BI
Chapter 3: The Power BI Workflow
Technical requirements
Bringing data into Power BI
Data connectivity modes
Database systems
Files and spreadsheets
Data lakes and data warehouses
Cleansing and transforming data
Cleansing
Transforming
Power Query
Combining data from multiple sources
Modeling data for analysis
Star schema
Model enhancement
Exploring and analyzing data
Visualizing data on a report
Publishing and sharing Power BI content
Publishing Power BI content
Setting up data refreshes
Sharing the published reports
Licensing options
Q&A
Summary
Chapter 4: Data Analysis with Power BI
Technical requirements
The six data analysis phases
Phase 1 – Asking questions for data-driven decision-making
Phase 2 – Preparing data for processing
Phase 3 – Processing data for analysis
Phase 4 – Analyzing data
Phase 5 – Sharing analytical findings and insights
Phase 6 – Acting on your findings and insights
Power BI as a data analysis solution
Phase 1 – Asking questions for your Power BI solution
Phase 2 – Preparing data with Power BI
Phase 3 – Processing data with Power BI
Phase 4 – Data analysis with Power BI
Phase 5 – Reporting and sharing with Power BI
Phase 6 – Acting on your data with Power BI
A success story – Analyzing data using Power BI
Q&A
Summary
Chapter 5: Preparing, Transforming, and Modeling Data
Technical requirements
Designing a model
What is dimensional modeling?
Preparing data
Reviewing the requirements
Connecting to the data sources
Data profiling
Transforming data
Building the model
Looking at the calendar (or date) dimension table
Shaping the model
Adding measures to the model
Exploring advanced modeling considerations
Catering to multiple business processes
Modeling on a data warehouse
Derived dimension attributes
Q&A
Summary
Chapter 6: Exploring, Visualizing, and Sharing Data and Deploying Solutions
Technical requirements
Exploring data
Exploring data with Power BI
Exploring published semantic models
Exploring data using Microsoft Excel
Visualizing data with Power BI
Creating Power BI reports
Other visualizations in Power BI
Publishing and sharing data in Power BI
Understanding workspaces
Leveraging apps in Power BI
Other ways of sharing Power BI content
Licensing authors and consumers
Deploying your solution
Exploring semantic model settings
Understanding deployment pipelines
Q&A
Summary
Chapter 7: DAX Programming
Technical requirements
What is DAX?
Considerations about the DAX language
Operators in DAX
Data types available in DAX
Basic aggregation functions
Measures versus calculated columns
Execution process
Execution context
When to use measures or calculated columns
Understanding evaluation contexts
Measures
Calculated column
Filtering data and modifying contexts
CALCULATE
FILTER
ALL
Time intelligence functions
CALENDAR versus CALENDARAUTO
DATEADD
SAMEPERIODLASTYEAR
DATESBETWEEN
DATESINPERIOD
Complex DAX measures
Complex model = complex measures
Context-define the results
Filters are tables
Identifying the context of the requirement
Q&A
Summary
Chapter 8: Expert Report Building
Technical requirements
Best practices before adding your first visual
Enabling preview features
Disabling Auto date/time
Editing application languages
Changing report settings
Editing page dimensions
Choosing the appropriate visual
Bar charts
Line and area charts
Combo charts
Ribbon chart
Waterfall chart
Funnel chart
Pie and donut charts
Gauge
Cards and KPI
AI-powered visuals
Key influencers
Decomposition tree
Anomaly detection
Smart narratives
The Q&A visual
Conditional formatting
Slicing and filtering
Power BI slicers
Filters pane
Configuring visual tooltips
Adding bookmarks
Buttons, shapes, and images
Bookmark menu
Using Drill-through
Page navigation
Bookmarks
Navigation menu
Button
Q&A
Summary
Chapter 9: Effective Data Storytelling
Technical requirements
Fundamentals of data storytelling
The essence of data storytelling
The power of visuals in data storytelling
Turning numbers into narratives
Choosing the right visualization
Understanding the underlying data
Understanding the audience
Matching visualization to data
Reducing clutter and complexity
Using preattentive attributes
How to craft a compelling narrative
Understanding the context
Following a structure
Influencing decision-making
Driving engagement
Data storytelling using Power BI
Process of data storytelling in Power BI
Enriching your reports with advanced Power BI features
Q&A
Summary
Further reading
Chapter 10: Using Dashboards and Apps and Implementing Security
Technical requirements
Dashboards versus reports
Creating a dashboard in Power BI
Adding pins
Adding a text box
Adding an image
Adding a video
Pinning a visual object
Pinning a report page
Pinning a table from Excel
Sharing content through Power BI apps
Apps versus workspaces
Creating an app
Using third-party apps
Implementing RLS
Creating a role
Adding users to a role
Q&A
Summary
Part 3: The Final Stretch – Preparing for the HR Round and Beyond
Chapter 11: Understanding the HR Interview Process and Preparing for Success
Overview of the HR rounds
Decoding the purpose of the HR rounds
Initial aptitude test
Power BI developer technical assessment
Hands-on case study-based assessment
Verbal round
Breakdown of the HR interview
Key skills to highlight during the HR rounds
Technical skills
Critical thinking and problem-solving skills
Communication skills and emotional intelligence
Preparation strategies for success in the HR rounds
Preparation strategies for the aptitude test
Preparation strategies for the technical assessment
Things to do before the HR interview
Summary
Further reading
Chapter 12: Tips for Negotiating Salary and Benefits
Importance of negotiating salary and benefits
Recognizing the value of your skills and experience
Market trends and global best practices
Significance of non-monetary benefits
Cultural, equality, diversity, and inclusion factors
Tips and strategies for successful negotiations
The salary negotiation process
Research and preparation
Framing your narrative
What “not” to say
Navigating difficult conversations
Common questions and best ways to answer
An ideal and successful salary negotiation
A conversation with an initial stand-off but a successful end
A difficult conversation that ends in a stalemate
Summary
Chapter 13: Best Practices for Accepting and Rejecting Job Offers – Onboarding and Beyond
Accepting a job offer – the dos and don’ts
Recognizing the value of your skills and experience
Carefully reviewing the offer
Your final response
Rejecting a job offer – how to do it professionally
Reasons for rejecting a job offer
Communicating a job rejection
Onboarding process – what to expect
What is job onboarding?
What to expect during the onboarding process
Tips for making the most out of the onboarding process
Setting expectations with the team
How to set expectations
Beyond onboarding – continual learning and development
A continual learning plan for a Power BI developer
Resources for continual learning and development
Final words
Index
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