Data Literacy

with Olivier Maugain

In this course, we will talk about the importance of data literacy. Understanding the language of data allows you to use and interpret data effectively. If you want a successful career path, you will most likely need these skills.

5 hours 58 lessons
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58 High Quality Lessons
4 Practical Tasks
5 Hours of Content
Certificate of Achievement

Course Overview

Data literacy involves articulating a problem that can potentially be solved using data. Most importantly, it is about interpreting the results of an analysis and making decisions based on the gained insights. A data literate person would have the ability to understand and check the adequacy of the data involved. Ultimately, you should be able to read and derive valuable information from data. We will cover all these topics extensively in the course.

Topics covered

Business analyticsdata analysismachine learningTheory

What You'll Learn

Being data literate means having the necessary competencies to work with data. Someone who is data literate would have the ability to:

Understand the data sources involved 
Check the adequacy and fitness of data involved 
Interpret the results of an analysis and extract insights 
Make decisions based on the insights 
Articulate a problem that can potentially be solved using data 


Student feedback


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Yh, your courses are explicitly great such hard work is being put in here. I tremendously appreciate them. But as a level 4 course reader now I have some recommendations that could better ease our understanding of the course materials. 1. I understand that animation presentations of lectures are a faster way and quite a good teaching method.. but when I did the Python Bootcamp it was quite better because I felt like someone was talking to me. Hence, I will appreciate it if the tutors showcase themselves as we move through the courses. 2. Although we have practical examples I will love if real-life projects and videos of how workers in the company discuss and solve them, they should be shown or even as a data major intern goes to work and his job descriptions at the office this help us to prepare for the working environment. More projects and problems faced by companies in each course. Thanks. 3. Take us out of the learning environment sometimes surveying companies and showing us how the data is collected.
This courses it is great I love it so much.
Really useful course.👍🏽🤝 It shines a light on some of the concepts mentioned in the “Introduction to Data Science” course. It gives a clear explanation of the course outline, adding a few insights whilst he explains, and as you progress through the list of videos the structure of how data is Accessed, Updated and Managed becomes more and more clear. It is mandatory if you want to understand the bigger picture of the Organisational Side of this industry.Ⓜ️❕ Beautifully done. ✅ ✨
This is a very good introductory course to the nature of data and how data are used in industry. It is comprehensive and suitable for students new to AI/ML/DS. Its core value lies in the section on interpretation, which basically functions as a primer to a statistics course. As such, it should also serve nicely as a refresher even for those more experienced in the field.
I feel he's glossing over things that are important to the ethics of data, i.e. suggesting that veracity isn't important to bid data or only briefly mentioning the job of verifying and validating data. Ethics in data is really important, and it needs to be taught to all individuals pursuing any career that uses data.
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Olivier Maugain

“This course will be an invaluable experience for your professional development. Data literacy is an absolute must for anyone who wants to be successful in today's business world. Data literacy is the ability to read, understand, create, and communicate data as information.”

Olivier Maugain

Worked at Henkel

Data Literacy

with Olivier Maugain

Start Course