Data Literacy and Business Analytics for Business Leaders (Udemy.com)
Improve your Data Literacy and Business Analytics. Apply Business Statistics for Data Driven Decision Making.
Created by: Diogo Alves de Resende
Last updated June 2026
What you will learn
- Understand the definition of data literacy and its importance in business.
- Gain knowledge of key statistical concepts and their application in a business context.
- Learn how to read and analyze data for business purposes.
- Understand the process and common pitfalls of data-driven decision-making.
- Be able to identify biases and distinguish between useful and misleading data.
- Learn how to effectively communicate using data, including principles of public speaking and creating visualizations.
- Develop hands-on skills in using Excel or Google Sheets to analyze data.
- Apply statistical concepts to real-world business case studies.
- Understand the role of probabilities in investment decisions.
- Become proficient in data literacy and data-driven decision-making, improving your ability to excel in a business setting.
How it compares
Against the other 371 rated Udemy courses in Data Analysis on CourseDuck:
- Rating4.4 out of 5higher than 35% of them
- Reviews958#144 of 372 by number of reviews
- Length4.1 hoursshorter than 53% of them
- Last updatedJune 2026more recently than 75% of them
Course Description
Data need not be overwhelming. With fundamental data literacy skills, I will help you use data decision-making frameworks and statistics to create actionable business insights and presentations. Instead of being stuck, this course will help you become confident about data-driven decision-making. And, I will show you how to make simple, clear, and compelling data presentations by the end.
Do you feel confident in your ability to work with and analyze data? According to a recent survey by Business Intelligence tool Qlik, only 24% of people feel their data skills are up to par. The number drops to just 21% for younger people.
The course is designed to give you the skills, tools, and framework you need to become data literate and improve your data-driven decision-making skills. It is structured around the definition of data literacy: the ability to read, work with, and communicate using data.
In the Key Statistical Concepts section, we'll cover the most common concepts that form the foundation of analytics tools used in businesses. After learning each concept, you'll have the opportunity to apply what you've learned in a case study involving a pizza delivery business, using either Excel or Google Sheets.
The Analytics for Business section combines learning how to read and understand data with hands-on experience analyzing data. We'll cover concepts and see how they can be applied to business, such as using probabilities for investment decisions.
The largest section of the course is dedicated to data-driven decision-making. We'll learn the process and common pitfalls through case studies, and by the end of this section, you'll be able to identify biases in arguments and distinguish between useful and misleading data.
Finally, in the Communicating with Data section, you'll learn how to effectively communicate using data. We'll cover the general principles of public speaking with data, creating visualizations, and addressing challenges. By mastering these three pillars, you'll be able to deliver engaging and effective presentations using data.
The data revolution has already had a significant impact on businesses and it shows no signs of slowing down. Join me and become a part of this exciting movement!
Instructor Details
- 4.4 Rating
958 Reviews
Diogo Alves de Resende
Hi, I’m Diogo Resende, a data scientist, AI educator, course creator, and startup founder.
I believe data, analytics, and AI should feel practical, approachable, and useful, and definitely not intimidating, overly academic, or disconnected from real work. My goal is to help people understand not just how technology works, but how to use it to solve meaningful business problems, build useful projects, and grow their careers.
For more than a decade, I’ve worked at the intersection of data, business, and technology, helping people and companies turn complex problems into practical, data-driven decisions. My background combines hands-on industry experience, business strategy, analytics, machine learning, forecasting, A/B testing, commercial planning, and generative AI.
That mix of technical depth and business context shapes the way I teach. I create learning experiences that are clear, practical, and focused on real outcomes. Over the years, I’ve taught tens of thousands of learners through online courses covering Python, data science, statistics, time series forecasting, RAG, AI agents, and modern AI tools.
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Reviews
By Victor Godefroy on 7/8/2026
Very nice graphics and it is easy to tell Diogo spent time on how to show the data and make it fun to learn. As I do not have a business/ management background, it was nice to have a lot of definitions and explanations, although some concepts presented as given could be further explained.
By Isabela Nicoleta Airinei on 9/15/2025
Nice course! I'd expected in some points to be more specific (i'm specifically intrested in KPI setting for digital solutions) but i understand that this depends also about the course target and audience. Diego very clear explanations!
By Maria Moldes on 8/19/2025
me parece entretenido el contenido, pero es mucha información con poco enfoque
By Christine Putsoane on 1/9/2025
This course was actually quite informative, and I loved how it delved into the fundamentals of data literacy. I would recommend it to anyone starting out in the field of data analytics. It provides a solid foundation to better understand the field and helps you decide if you are truly keen on pursuing it further. It also serves as a great starting point for more in-depth courses.
By Fred Wehling on 3/1/2024
1. Continuous variables are usually defined as variables which can take an infinite number of values within a specific range. Each value can be infinitesimally small. Discrete variables can only take integer or natural number values. So number of people is a discrete variable, because you can't have a small fraction of a person. 2. It's not clear why standard deviation was needed in the case study, because the actual values and delta in revenues, profit, etc. could easily be calculated.
By Anonymized User on 12/15/2023
diogo combines humour with visuals, thought provoking thought experiments, and clear conceptual explanations. from someone who used to be intimidated by data analytics, his course has gotten me really interested and i can't wait to learn more!
By Dmitry Tlusten on 1/4/2023
This is excellent course helping to build a good foundation understanding data, communicating and storytelling with data! There are options to practice and implement the concepts analyzing real life analytical challenges. Thank you very much!
By Filip Crncec on 9/6/2022
This course is a must for everyone who needs some guidance on how to efficiently read the data and communicate business needs derived from it. Diogo teaches you how to make data-driven decisions in a structured manner through well-explained and practical examples, which again confirms his exceptional qualities as an instructor.
By Anonymized User on 8/3/2022
Exceptional course explaining the basics through detailed understanding of how to use in daily business life and decision making. Any decision can be made, but the confidence in making the best choice involves analytics and the ability to convey data to others your target audience. Excellent material that is usable immediately. This is how we gain the confidence in our decisions and grow our organization.
By Matthew Luckey on 7/20/2022
Diego always has great courses that explain complex concepts and systems. This class is no exception, and his use of animations kept me engaged the entire course. He uses relevant examples, and provides details which drive home his points. If you work with data regularly or are brand new to data, I'm sure you can get some use from the course.
Quality Score
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Overall Score : 88 / 100












