Online Course
Data Literacy

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

4.9

808 reviews on
30971 students already have enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

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

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? 1. 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. 2. 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. 3. Comprehensive Downloadable Material Access essential data literacy resources anytime during your learning journey, including course notes, flashcards, practice exercises, and exams—all included. 4. 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

Free preview

What Exactly is Data Literacy

1.1 What Exactly is Data Literacy

4 min

Why do We Need Data Literacy

1.2 Why do We Need Data Literacy

5 min

Data-driven Decision Making

1.4 Data-driven Decision Making

5 min

Benefits of Data Literacy

1.5 Benefits of Data Literacy

5 min

How to Get Started

1.6 How to Get Started

5 min

Data Definition

2.1 Data Definition

2 min

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96%

of our students recommend

365 Data Science.

4.9

Based on 808 reviews

#1 most reviewed

AI and data learning platform on Trustpilot.

9 in 10

of our graduates landed a new AI & data job

after enrollment

ACCREDITED certificates

Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Certificates are included with the Self-Study learning plan.

A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

How it WORKS

  • Lessons
  • Exercises
  • Projects
  • Practice Exams
  • AI Mock Interviews

Lessons

Learn through short, simple lessons—no prior experience in AI or data science needed.

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Exercises

Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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Projects

Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

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Practice Exams

Track your progress and solidify your knowledge with regular practice exams.

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AI Mock Interviews

Prep for interviews with real-world tasks, popular questions, and real-time feedback.

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Student REVIEWS

A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.