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.
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Practice what you've learned with coding tasks, flashcards, fill in the blanks, multiple choice, and other fun exercises.
Curriculum
1. Introduction to Data Literacy
5 Lessons24 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 Lessons62 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 Lessons71 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 Lessons30 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 Lessons65 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 StatisticsData Literacy
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.
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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