facebook
favorite button
member since icon
Since October 2025
Instructor since October 2025
Hands On Introduction to Data Analytics with Power BI Practical Sessions for Real-World Insight
course price icon
From 179.96 € /h
arrow icon
Power BI is one of the most powerful tools for turning raw data into meaningful insights.
In this class, you’ll learn how to connect data sources, clean and transform data, create interactive dashboards, and visualize insights that support smart business decisions.

Through practical, hands-on exercises, you’ll gain the skills to analyze trends, identify patterns, and communicate results effectively, whether you’re a student, business professional, or aspiring data analyst.
Extra information
Bring your own laptop with Power BI Desktop installed (free download from Microsoft Store).
Location
location type icon
Online from United Kingdom
About Me
Hi, I’m Okechukwu, a passionate educator and technology professional with over six years of experience across Data Analytics, Quality Assurance, Cloud Computing, and Software Development. I’m currently pursuing a Master’s in Artificial Intelligence at the University of Wolverhampton, where I focus on data science, machine learning, and intelligent automation.

I love helping learners build both technical competence and confidence. Whether you’re a beginner looking to understand coding concepts, a student aiming to master mathematics and logical reasoning, or a professional seeking to break into the data or tech field, I design lessons that are interactive, practical, and goal-oriented.

Beyond tech, I’m also an avid chess player, teaching the game not only as a sport but as a tool for strategic thinking, focus, and patience. My students enjoy learning through real-world examples, structured progress tracking, and a supportive learning environment tailored to their needs.
Education
Master’s in Artificial Intelligence (Ongoing)
University of Wolverhampton, United Kingdom
2025 – Present
Focus: Data Science, Machine Learning, and Intelligent Automation

Diploma in Data Science
National Institute of Information Technology (NIIT), India
2020 – 2021

B.Eng (Hons) in Computer Engineering
Michael Okpara University of Agriculture, Nigeria
2012 – 2017
Experience / Qualifications
Experience

Solutions Consultant – Sonicom (Remote, Abuja)
May 2022 – Present

Designed and implemented AI-powered, cloud-integrated platforms to automate business workflows.

Delivered data-driven solutions improving efficiency and decision-making.

Mentored junior engineers and provided technical guidance to cross-functional teams.

Solutions Architect – Industrial Arbitration Panel (IAP)
Oct 2024 – Oct 2025

Developed secure and scalable IT systems to streamline arbitration processes.

Led architecture design and system analysis aligned with business and regulatory requirements.

Senior QA Engineer & DevOps Specialist – HNG Tech
Jun 2024 – Nov 2024

Built QA automation frameworks using Selenium and Postman, cutting manual testing by 60%.

Deployed CI/CD pipelines to enhance deployment speed and reliability.

Product Development Lead & QA Engineer – Havosoft International Ltd.
Sep 2023 – Oct 2024

Managed multiple software projects using Agile methodologies.

Increased platform adoption by 25% through innovative feature development.

Chief Technology Officer (CTO) – Dotmac Technology Ltd.
Aug 2022 – Jul 2023

Directed a team of engineers maintaining 2,000+ client networks.

Reduced network downtime by 35% through proactive system monitoring.

Chess Tutor (Freelance)
2018 – Present

Teach beginners and intermediate players the fundamentals and strategies of chess.

Focus on improving decision-making, focus, and strategic reasoning.

Conduct both in-person and online lessons.

Qualifications

AWS Certified Cloud Practitioner (2022) – Cloud architecture & deployment.

Certified Software Tester (CST, 2024) – Functional, regression & automation testing.

Power BI Certified Analyst (2024) – Data visualization & business intelligence reporting.

Prompt Engineering with ChatGPT (2024) – Applied prompt design for LLM workflows.

HNG Product Testing Certificate (2024) – Agile QA, test case design & automation.

Senior QA Engineer & DevOps Specialist – Micro1 (2025)

B.Eng in Computer Engineering – Michael Okpara University of Agriculture.

Diploma in Data Science – NIIT India.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
90 minutes
The class is taught in
English
Availability of a typical week
(GMT -05:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Chess is more than just a game, it’s a science of strategy, patience, and decision-making.
In this class, I’ll guide you through the fundamentals of chess, from understanding the board and piece movements to mastering tactics, openings, and endgame strategies.

You’ll also learn how to analyze your moves, recognize opponent patterns, and develop a logical approach that strengthens your focus and critical thinking.

Whether you’re a beginner eager to learn or an intermediate player aiming to sharpen your game, this class provides structured lessons, real-match practice, and personal feedback to help you grow into a confident player.
Read more
Similar classes
arrow icon previousarrow icon next
verified badge
Raouf
Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
verified badge
Erik
This course is aimed at students and scientists who want to use artificial intelligence to support the writing of academic papers without losing control of the content or compromising academic integrity.

The goal is not to delegate writing to AI, but to learn how to consciously and systematically integrate it into the scientific workflow. Throughout the course, the path from initial idea to final text is explored step by step, always with a critical eye.

We begin with chat setup and formulating appropriate prompts. Good interaction with AI doesn't depend on "tricks," but on clear questions and a well-defined framework. We'll show you how to guide the dialogue to obtain useful and consistent results.

Next, we work on developing the text's structure. AI can help develop a solid and logical outline, which will serve as the basis for subsequent argumentation. We explain how to evaluate and adapt these proposals according to academic criteria.

A central section is dedicated to source research. We analyze how AI can support information retrieval and sorting, and why citation and reference verification is essential. Methods for detecting errors, inaccuracies, and nonexistent sources are presented.

The proper use of footnotes and comments is also addressed. It explains how to integrate references, clarifications, and annotations without sacrificing clarity or formal rigor.

The final phase of the course focuses on writing and revising the text. It demonstrates how to use AI to improve style, coherence, and linguistic precision, as well as to identify argumentative problems. The course concludes with the process of exporting and preparing the final document for submission.

The course is designed for academic work such as essays, coursework, and theses, and is suitable for students of any discipline. No prior technical knowledge is required, only a willingness to work thoughtfully and responsibly.
message icon
Contact Okechukwu
repeat students icon
1st lesson is backed
by our
Good-fit Instructor Guarantee
Similar classes
arrow icon previousarrow icon next
verified badge
Raouf
Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
verified badge
Erik
This course is aimed at students and scientists who want to use artificial intelligence to support the writing of academic papers without losing control of the content or compromising academic integrity.

The goal is not to delegate writing to AI, but to learn how to consciously and systematically integrate it into the scientific workflow. Throughout the course, the path from initial idea to final text is explored step by step, always with a critical eye.

We begin with chat setup and formulating appropriate prompts. Good interaction with AI doesn't depend on "tricks," but on clear questions and a well-defined framework. We'll show you how to guide the dialogue to obtain useful and consistent results.

Next, we work on developing the text's structure. AI can help develop a solid and logical outline, which will serve as the basis for subsequent argumentation. We explain how to evaluate and adapt these proposals according to academic criteria.

A central section is dedicated to source research. We analyze how AI can support information retrieval and sorting, and why citation and reference verification is essential. Methods for detecting errors, inaccuracies, and nonexistent sources are presented.

The proper use of footnotes and comments is also addressed. It explains how to integrate references, clarifications, and annotations without sacrificing clarity or formal rigor.

The final phase of the course focuses on writing and revising the text. It demonstrates how to use AI to improve style, coherence, and linguistic precision, as well as to identify argumentative problems. The course concludes with the process of exporting and preparing the final document for submission.

The course is designed for academic work such as essays, coursework, and theses, and is suitable for students of any discipline. No prior technical knowledge is required, only a willingness to work thoughtfully and responsibly.
Good-fit Instructor Guarantee
favorite button
message icon
Contact Okechukwu