Overview
Understand the data analytics lifecycle and apply the problem-solving framework to real-world challenges., Clean, analyze, and visualize data using Microsoft Excel, including pivot tables and advanced formulas., Build interactive dashboards in Power BI to communicate insights and track KPIs., Apply statistical techniques like hypothesis testing and correlation to drive data-informed decisions., Create a personal portfolio website to showcase your analytics projects and skills to potential employers., Complete real-world projects and case studies from start to finish, simulating professional data tasks., Query, filter, and manipulate data using SQL to extract actionable insights from relational databases.
Students and recent graduates looking to build job-ready skills in Excel, SQL, and Power BI, Complete beginners who want to start a career in data analytics, Professionals in non-technical roles who want to make data-driven decisions, Career switchers seeking hands-on experience and a portfolio to break into tech, Freelancers and entrepreneurs who want to analyze their own business data, Anyone interested in learning how to turn raw data into actionable insights and impactful dashboards
No prior experience is required—this course is designed for complete beginners!, Willingness to learn and practice, A stable internet connection, A laptop or desktop computer (Windows or Mac), A Microsoft Excel (guided in the course), A free Power BI (guided in the course), A MySQL Workbench
Ready to launch your data analytics career using easy-to-learn, in-demand tools?
This comprehensive course will take you from beginner to advanced using Excel, SQL, and Power BI—no coding experience required!
Start by mastering Microsoft Excel: you’ll learn essential skills like data cleaning, applying formulas, conditional formatting, creating charts, and working with pivot tables. Then, dive into SQL, where you’ll learn how to extract, filter, and manipulate data from relational databases—an essential skill for any data analyst. Once you’re comfortable with Excel and SQL, you’ll transition to Power BI, where you’ll discover how to import data, establish relationships, apply DAX (Data Analysis Expressions), and create interactive dashboards using visuals and slicers.
These tools and techniques are essential for analyzing and visualizing data effectively, helping you solve real-world business problems and make data-driven decisions with confidence.
This course is designed specifically for:
Beginners and non-technical professionals
Anyone looking to switch careers to data analytics
Business professionals who work with data in Excel
Students, job seekers, and freelancers looking to build a data portfolio
Tools You’ll Learn
Microsoft Excel: Data cleaning, formulas, charts, pivot tables, conditional formatting, and data visualization
SQL: Writing queries to retrieve, filter, sort, and analyze data from databases
Power BI: DAX, data modeling, relationships, visuals, slicers, and dynamic report building
Projects You’ll Build
Sales Performance Analysis
Project Management Analysis
(Bonus: Hands-on SQL exercises with real-world datasets)
By the end of the course, you’ll have the confidence to analyze complex datasets, write efficient SQL queries, and create stunning dashboards that showcase your insights. You’ll also have a portfolio of projects to impress potential employers and kickstart your data analytics career.
Samuel Okon
Hi! I’m Samuel. I have a degree in Industrial Chemistry from the Federal University of Technology, Akure, and you might call me a bit of a data geek.
After getting into data analytics just for fun, I quickly discovered that it wasn’t just interesting — it was also a highly valuable career path. I left my science background behind and fully embraced analytics, and I haven’t looked back since.
I’m passionate about teaching people how to make sense of data. That’s why I created this course — to help beginners and non-technical professionals feel confident working with Excel, SQL, and Power BI.
You wouldn’t believe how empowering it is to truly understand your data. Sign up and see for yourself why so many learners are building data skills to grow their careers. I genuinely believe this course gives you everything you need to get started — and if you don’t agree, I’ll happily refund your money.
Join me in this data adventure — I can’t wait to see what you’ll discover.