Online Course
Data Literacy

Name: Data Literacy Course
Price: 36 USD

Understand the language of data. Learn how to interpret data effectively. Acquire key data literacy skills to boost your professional growth

4.8

862 reviews on

Start for free

32,119 students already enrolled

Skill level:

Basic

Duration:

5 hours

Lessons (4 hours)

Practice exams (48 minutes)

CPE credits:

9

CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited

certificate

What you learn

Master key data types, sources, and storage methods.
Learn core data terminology and workplace applications.
Understand data analysis and analytics methods.
Interpret, evaluate, and communicate data insights.
Explore basic machine learning concepts and uses.

Topics & tools

Data AnalysisMachine LearningTypes Of DataData StorageCloud ComputingRegressionCorrelationInferential StatisticsDescriptive StatisticsData LiteracyTheory

Your instructor

Olivier Maugain

Data Culturist | Data Governance Manager at IKEA

Track record

Bringing real-world expertise from leading global companies

Academic background

Doctorate (PhD), Business Administration

Media and recognition

Frequent speaker on data culture and digital transformation
Publications on AI and data in marketing & advertising
Entrepreneurial track record in analytics consulting in China

Ask Olivier a question

Course overview

Accredited certificates

Course OVERVIEW

Description

CPE Credits: 9 Field of Study: Specialized Knowledge
Delivery Method: QAS Self Study

Are you looking for a data literacy course that will help you learn the language of data?

Would you like to learn critical data skills in just a few hours?

If so, this is the perfect data literacy course for you!

In today's job market, essential skills span all careers, with data literacy paramount. Successful professionals—including marketers, financial analysts, healthcare practitioners, product managers, engineers, and more—all share the ability to understand and interpret data.

Not only data analysts and scientists benefit from the vast amount of data collected by organizations. Everyone can enhance decision-making and business insights with data access, but you must be data literate. Learning the language of data is essential.

This data literacy course (suitable for beginners) is an excellent opportunity to acquire invaluable skills that will help you throughout your career. The data literacy training teaches you to understand, use, read, and interpret data. We know this is the perfect data literacy program for you because tens of thousands of individuals in leading organizations worldwide have taken it and rated it excellent.

The data literacy certification program is suitable for graduates and young professionals who need more practical experience with data. It’s also highly recommended for analysts who have been on the job for a few years but still need to improve their skills and adopt best practices. Don't worry if you lack data literacy skills; this course is designed to build your expertise from scratch.

Embarking on this journey, you'll learn about various data types, on-premises and cloud storage, data preprocessing and analysis, and the different machine learning algorithms available.

You’ll become familiar with descriptive and inferential statistics and essential data analysis techniques, such as correlation, regression, statistical testing, p-value analysis, statistical significance, accuracy, recall, precision, and more. Additionally, finishing the training grants a verifiable data literacy certificate.

This isn't the only online data literacy course; many other data courses offer similar skills. Yet, this data training has become one of the most popular. Why is that?

Exceptional Content Quality
Enjoy a structured learning journey that covers all practical aspects needed on the job. The curriculum is designed by an instructor responsible for data literacy education in some of the world’s largest companies. Instead of learning random data skills, this course emphasizes practical application—teaching essential data concepts and skills for real-world use.
Instructor Experience
Olivier Maugain—with extensive experience as an Analytics Director and Decision Intelligence Manager—advocates data-driven decision-making at one of the world's top retail companies. His course offers insights from his experience designing data training for tens of thousands of company employees.
Comprehensive Downloadable Material
Access essential data literacy resources anytime during your learning journey, including course notes, flashcards, practice exercises, and exams—all included.
Certificate of Achievement
Upon completing the Data Literacy course and its exam, you’ll receive a verifiable certificate of achievement—recognizing your dedication and hard work.

Click the 'Buy Now' button to embark on your transformative data literacy journey and revolutionize your career.

Prerequisites

No prior experience or knowledge is required. We will start from the basics and gradually build your understanding. Everything you need is included in the course.

Advanced preparation

None

Curriculum

58 lessons 44 exercises 5 exams

1. Introduction to Data Literacy

24 min

Learn what data literacy is and why business professionals need it. Examine the benefits of data literacy and data-driven decision making, as well as how to get the most out of the Data Literacy course.

24 min

Learn what data literacy is and why business professionals need it. Examine the benefits of data literacy and data-driven decision making, as well as how to get the most out of the Data Literacy course.

What Exactly is Data Literacy Free

Why do We Need Data Literacy Free

Exercise Free

Data-driven Decision Making Free

Benefits of Data Literacy Free

How to Get Started Free

Exercise Free
2. Understanding Data

62 min

To speak the language of data you will need to learn key data terminology. In this part of the course, we will focus on the different types of data, data storage systems, the technical tools required to analyze data, how we store data on premise and in the cloud.

62 min

To speak the language of data you will need to learn key data terminology. In this part of the course, we will focus on the different types of data, data storage systems, the technical tools required to analyze data, how we store data on premise and in the cloud.

Data Definition Free

Qualitative vs. Quantitative Data Free

Structured vs. Unstructured Data Free

Data at Rest vs. Data in Motion Free

Exercise

Transactional vs. Master Data

Big Data

Storing Data

Database

Exercise

Data Warehouse

Data Marts

The ETL Process

Apache Hadoop

Exercise

Data Lake

Cloud Systems

Edge Computing

Batch vs. Stream Processing

Graph Database

Exercise

Practice exam
3. Using Data

71 min

Learn the difference between analysis and analytics. We’ll discuss different ways to analyze data – descriptive and inferential statistics, business intelligence (BI), artificial intelligence (AI), as well as various machine and deep learning techniques.

71 min

Learn the difference between analysis and analytics. We’ll discuss different ways to analyze data – descriptive and inferential statistics, business intelligence (BI), artificial intelligence (AI), as well as various machine and deep learning techniques.

Analysis vs. Analytics

Descriptive Statistics

Inferential Statistics

Business Intelligence (BI)

Exercise

Artificial Intelligence (AI)

Machine Learning (ML)

Supervised Learning

Regression Analysis

Exercise

Time Series Forecasting

Classification

Unsupervised Learning

Clustering Analysis

Exercise

Association Rules

Reinforcement Learning

Deep Learning

Natural Language Processing (NLP)

Practice exam
4. Reading Data

30 min

Find out how to read data, understand why you need to perform data quality assessments, and how to work with important statistics metrics such as the measures of central tendency and the measures of spread.

30 min

Find out how to read data, understand why you need to perform data quality assessments, and how to work with important statistics metrics such as the measures of central tendency and the measures of spread.

Reading Data

Data Quality Assessment

Data Description

Measures of Central Tendency

Measures of Spread

Practice exam

Exercise
5. Interpreting Data

65 min

The last section focuses on data interpretation. You will examine fundamental analysis techniques such as correlation, simple linear regression (r-squared and p-values), forecasting, statistical tests, and many more.

65 min

The last section focuses on data interpretation. You will examine fundamental analysis techniques such as correlation, simple linear regression (r-squared and p-values), forecasting, statistical tests, and many more.

Interpreting Data

Correlation Аnalysis

Correlation Coefficient

Correlation and Causation

Exercise

Simple Linear Regression

R-squared

Forecasting

Forecast Errors

Exercise

Statistical Tests

Hypothesis Testing

P-Value

Statistical Significance

Exercise

Classification Models

Accuracy

Recall and Precision

Exercise

Practice exam
6. Course exam

35 min

35 min

Course exam

Free lessons

1.1 What Exactly is Data Literacy

4 min

1.2 Why do We Need Data Literacy

5 min

1.4 Data-driven Decision Making

5 min

1.5 Benefits of Data Literacy

5 min

1.6 How to Get Started

5 min

2.1 Data Definition

2 min

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In 2023, I decided to rewrite my story—leaving accounting to become a freelance Data and Business Analyst. At first, I was completely lost, until a friend recommended 365 Data Science. The structured learning paths, real-world projects, and clear explanations transformed my skills and confidence. Within six months, I mastered Python, built interactive dashboards, and landed five clients across four countries. 365 didn’t just teach me—it reshaped my career and sparked my curiosity for AI.

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4.8

Based on 862 reviews

#1 most reviewed

AI and data learning platform on Trustpilot.

The experience was great, completely a beginner friendly course which helps you to lay a foundation for the upcoming advanced ai courses. Thank you for providing precise lectures.