Data Literacy

with Olivier Maugain
4.8/5
(1,879)

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

5 hours of content 29235 students
Start for free

What you get:

  • 5 hours of content
  • 44 Interactive exercises
  • 10 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

Data Literacy

A course by Olivier Maugain
Start for free

What you get:

  • 5 hours of content
  • 44 Interactive exercises
  • 10 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement
Start for free

What you get:

  • 5 hours of content
  • 44 Interactive exercises
  • 10 Downloadable resources
  • World-class instructor
  • Closed captions
  • Q&A support
  • Future course updates
  • Course exam
  • Certificate of achievement

What You Learn

  • Acquire essential data literacy skills for the workplace
  • Enhance decision-making speed and quality with data
  • Master data terminology
  • Discover valuable business insights through data analysis
  • Adopt a data-driven mindset
  • Build confidence in data analysis and communication

Top Choice of Leading Companies Worldwide

Industry leaders and professionals globally rely on this top-rated course to enhance their skills.

Course Description

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.

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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

Curriculum

  • 1. Introduction to Data Literacy
    5 Lessons 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
    4 min
    Why do We Need Data Literacy
    5 min
    Data-driven Decision Making
    5 min
    Benefits of Data Literacy
    5 min
    How to Get Started
    5 min
  • 2. Understanding Data
    17 Lessons 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
    2 min
    Qualitative vs. Quantitative Data
    7 min
    Structured vs. Unstructured Data
    4 min
    Data at Rest vs. Data in Motion
    2 min
    Transactional vs. Master Data
    5 min
    Big Data
    7 min
    Storing Data
    1 min
    Database
    4 min
    Data Warehouse
    2 min
    Data Marts
    2 min
    The ETL Process
    3 min
    Apache Hadoop
    4 min
    Data Lake
    3 min
    Cloud Systems
    3 min
    Edge Computing
    4 min
    Batch vs. Stream Processing
    4 min
    Graph Database
    5 min
  • 3. Using Data
    16 Lessons 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
    3 min
    Descriptive Statistics
    3 min
    Inferential Statistics
    5 min
    Business Intelligence (BI)
    3 min
    Artificial Intelligence (AI)
    4 min
    Machine Learning (ML)
    6 min
    Supervised Learning
    4 min
    Regression Analysis
    6 min
    Time Series Forecasting
    4 min
    Classification
    6 min
    Unsupervised Learning
    3 min
    Clustering Analysis
    5 min
    Association Rules
    4 min
    Reinforcement Learning
    4 min
    Deep Learning
    5 min
    Natural Language Processing (NLP)
    6 min
  • 4. Reading Data
    5 Lessons 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
    1 min
    Data Quality Assessment
    7 min
    Data Description
    3 min
    Measures of Central Tendency
    10 min
    Measures of Spread
    9 min
  • 5. Interpreting Data
    15 Lessons 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
    1 min
    Correlation Аnalysis
    6 min
    Correlation Coefficient
    4 min
    Correlation and Causation
    4 min
    Simple Linear Regression
    6 min
    R-squared
    7 min
    Forecasting
    2 min
    Forecast Errors
    7 min
    Statistical Tests
    3 min
    Hypothesis Testing
    5 min
    P-Value
    4 min
    Statistical Significance
    4 min
    Classification Models
    4 min
    Accuracy
    2 min
    Recall and Precision
    6 min

Topics

data analysismachine learningTypes Of DataData StorageCloud ComputingRegressionCorrelationInferential StatisticsDescriptive Statistics

Tools & Technologies

theory

Course Requirements

  • 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.

Who Should Take This Course?

Level of difficulty: Beginner

  • Data literacy beginners who are looking to build a strong foundation in data literacy
  • Graduate students who want to learn data literacy fundamentals to boost their professional development
  • Ambitious individuals who are already employed but wish to excel in their roles and get promoted faster

Exams and Certification

A 365 Data Science Course Certificate is an excellent addition to your LinkedIn profile—demonstrating your expertise and willingness to go the extra mile to accomplish your goals.

Exams and certification

Meet Your Instructor

Olivier Maugain

Olivier Maugain

Data Governance Manager at

2 Courses

1986 Reviews

30514 Students

Olivier Maugain is a top-level executive at one of the global retail household brands. Previously, he served as Director of Analytics & Digital Technology at Henkel. His track record speaks for itself. He has worked in finance (Deloitte), advertising (Publics Media), FMCG, and chemical (Henkel) where he was involved in various projects for delivering innovative and collaborative business solutions. He spent some time in China and worked on several entrepreneurial ventures in software distribution. Olivier describes himself as a passionate data culturist. He speaks 5 languages, even 6 – if we count the language of data. In collaboration with 365, he aims to deliver courses on subjects like Data Literacy that will hopefully help many people learn the language of data – one of the most important tools in today’s business environment. In his current job, Olivier Maugain helps a major European retailer effectively move towards the rapid adoption of data-driven decision making. He has broad experience and specialized expertise in CRM, marketing efficiency, consumer insights, business optimization and modeling, product development, digital transformation, and business analytics.

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