Getting Started with Power BI
Learn the basics of the Power BI interface, navigating the workspace, and importing datasets
Data Transformation and Modeling
Understand how to clean, structure, and model data for effective analysis
Creating Dashboards and Reports
Build interactive dashboards with charts, maps, and KPIs to tell compelling data stories
Advanced Analytics with DAX
Dive into basic functions and formulas to enhance your analytical capabilities
Publishing and Sharing Reports
Learn to publish your work securely and share it across your organization using the Power BI service
The skills you gain will strengthen your CV and boost your career opportunities
Workshop nature: interactive and hands-on and no lecturing
Class size: up to 20 partisipants
Estimated total contact hours: 24
Session duration: 3 hours
Number of sessions: 8
Frequency: one session per week
Total duration: 2 months
Modality: offline/online, in-person classes or virtual sessions
Language: English, Russian
Certification: no
Portfolio: yes
Here, I aim to address—briefly and clearly—a common concern: that AI is devaluing technical skills. Some training centers now teach data visualization primarily through AI tools (like Claude), even claiming that Power BI and Excel are already obsolete. There is a mix of truth and hype in these claims.
I remain skeptical of this position, although I agree that in certain cases AI can be more effective than traditional BI software. Creating AI-based dashboards and storyboards (for example, in HTML) can be beneficial when tasks are simple and when there are no strict requirements for data privacy, fault tolerance, or process traceability—the classic “black box” problem. In such contexts, AI solutions may be suitable for small corporate teams, small businesses, or personal projects.
However, in more demanding environments, developing AI-based products often becomes more time-consuming, especially for users without prior experience in business intelligence. An industrial-grade BI solution cannot be created through vibe coding. This is largely utopian. Some may argue that this will not always be the case, as AI continues to improve—and they would be right. It is true that AI is improving rapidly, and this trend will continue.
Modern tools such as Cursor (an integrated development environment - IDE) support advanced AI-driven development and allow users to write code and build applications with limited traditional programming knowledge. Nevertheless, these systems still require structured, systematic thinking, and their interfaces are far from simple. One advantage of such tools is the ability to work locally, without transferring sensitive data to the cloud.
At the same time, it is important to recognize that AI developers are often BI developers as well, and modern BI platforms are already deeply AI-driven. Microsoft Power BI, for example, includes Copilot under its Premium license. So, what happens to Power BI specifically? Power BI will not disappear. But it will evolve into:
AI-first analytics platform
decision intelligence system
governed enterprise data environment
The dashboards will be built by AI, but Power BI will be the platform. Microsoft will fight the “AI disruption threat” by absorbing AI into the product rather than competing with it.
Ultimately, the choice is yours. Carefully assess your needs, requirements, and long-term strategy—and make a reasoned decision.
Analysis Goals
We are sales analysts and need to develop a Data Analysis tool for our company sales.
Present Revenue by Country (PH/MY/SG)
Identify Top 3 Cars Sold
Profit vs Sales Quantity between the Brands
Visualize Revenue and Sales by City and Dealer
Analysis Goals
We are process analysts and need to develop a Data Analysis tool for analyzing the overall situation of orders and their conclusion.
Visualize the number of orders divided by each status: On Time/ Late /Delivered
Check the performance for the 5 biggest clients to inspect the quality of the service given
Identify the origin of late orders
Show the orders across the year
"Thankful for everyone behind this program/project. Such a great opportunity to learn Power BI and apply it in our chosen ministry and career."
Kaycee Tapeceria
"Appreciated! "
Goodwin Kato
"You have truly succeeded in spreading the passion for big data"
Ernest Matindas
"Thanks Aleksandr Likholet for sharing"
Anasa Tabua
"Wishing you all the best"
Samuael Amankwah
"Thank you Aleksandr Likholet these are very helpful."
Pam Petersen
By the end of 2025, I will have accumulated approximately 1,500 hours of hands-on experience in Power BI–based data visualization. During this period, I have developed hundreds of dashboards, including academic performance metrics, budgets, and financial reports, delivered end to end—from data modeling and transformation to final presentation.
As the sole analyst in my role, I was responsible for the full analytical lifecycle and addressed a broad range of technical and analytical challenges, which significantly strengthened my practical expertise. I have since delivered several workshops for students, faculty, and staff, and also provide individual training sessions.
To reinforce my methodological approach, I completed a short training program with a Microsoft-certified trainer from ExodusExperts. I am not a career educator; I am a practitioner with a background in financial analysis. My teaching is grounded in real-world practice and serves as a mechanism for continuous professional development.
If continuous skill development is a priority for you, we share the same approach. If you work with data and find the outcomes described above relevant, this course will be valuable to you regardless of your role or industry.