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Data Analytics From Beginner To Advanced (Udemy.com)

Learn Data Analytics with Excel, SQL, & Power BI: Data Cleaning, Visualization, Dashboards & Business Insights

Created by: Samuel Okon

Last updated June 2026

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What you will learn

  • 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.

How it compares

Against the other 848 rated Udemy courses in IT Certifications on CourseDuck:

  • Rating4.3 out of 5higher than 18% of them
  • Reviews301#507 of 849 by number of reviews
  • Length25.5 hourslonger than 89% of them
  • Last updatedJune 2026more recently than 67% of them

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Course Description

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

  • Laptop: Minimum Specification (4gb RAM, 256gb ROM)

  • Good Internet Connection

  • Constant Electricity


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.


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Instructor Details

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.

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Reviews

4.3

301 ratings on Udemy

Select a bar to show only those reviews.Select the bar again to show every rating.

By Manasi Rao on 9/2/2026

The instructor is very slow in speaking and not very clear. gets confused while explaining.

By James Anderson on 2/17/2026

Great course for someone starting from zero. The instructor explains concepts clearly and gradually introduces Excel, SQL, and Power BI. I feel more confident working with datasets now.

By Hilton Fynn on 1/26/2026

Info is good. English is not the lecturers first language so he is difficult to understand.

By Daniel Joseph on 10/1/2025

This course exceeded my expectations. As someone with no background in data analytics, I appreciated how clearly everything was explained. By the end, I was confidently working with real datasets and building reports. Highly recommended!

By Samuel on 9/22/2025

Excellent course! The content is well-structured and easy to follow, and I really appreciate how the course balances theory with practical applications. I feel much more prepared to tackle analytics challenges at work

By Johnson John on 9/22/2025

This is by far one of the best Data Analytics courses I've taken. The lessons were clear, comprehensive, and the real-world examples were really helpful. I've learned so much already and can’t wait to apply these skills in my job!

By Daniel M on 9/22/2025

I started from scratch and thought I’d be overwhelmed, but this course made everything so approachable. The instructor goes into great detail, and the quizzes help reinforce key concepts. Highly recommend it to anyone starting in Data Analytics!

By Stephen Oladeji on 8/14/2025

Excellent course! Well-organized, practical exercises, and explanations that make data analysis easy to understand and apply. Highly recommended for beginners and those refreshing their skills.

By Derrick Nelson on 7/31/2025

Well-structured and practical course. The instructor put in great effort. Perfect for both beginners and professionals looking to level up in data analytics.

By Harry James on 6/30/2025

The course is really engaging, and the instructor did a lot of work to put this work together. I would recommend this course for any beginner and advanced data analytics professional who is willing to up their skills in the world of data.

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Overall Score : 86 / 100