Data Literacy

with Olivier Maugain
4.8/5
(1,594)

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 26153 students

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

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

Data Literacy

A course by Olivier Maugain

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

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

$99.00

Lifetime access

Buy now
14-Day Money-Back Guarantee

What you get:

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

What You Learn

  • Learn key data literacy skills needed in the workplace
  • Make better and faster decisions using data
  • Master the language of data
  • Use data to uncover valuable business insights
  • Embrace a data-driven decision-making mindset
  • Be confident in analysing data and communicating quantitative findings

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 key data skills in just a few hours? If that’s the case, then this is the perfect data literacy course for you! In today’s job market, there are very few skills that are essential and needed for every type of career. Data literacy is certainly one of them. The common denominator between successful professionals – such as marketers, financial analysts, healthcare practitioners, product managers, engineers, and many others - is their ability to understand and interpret data. It isn’t just data analysts and data scientists who can take advantage of the vast amounts of data collected by organizations. On the contrary, everyone can benefit from access to data for improved decision-making and business understanding. However, you can’t take advantage of this opportunity if you are not data literate. You need to learn the language of data. This data literacy course (suitable for beginners) is a great opportunity to acquire invaluable skills that will help you throughout your entire career. The training offers to teach you how to understand, use, read, and interpret data. We know this is the perfect data literacy program for you because the course has been taken by tens of thousands of individuals in leading organizations around the world who have rated it as excellent. This data literacy certification program is suitable for graduates and young professionals who lack practical experience with data. It is 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. Even if you have not learned any data literacy skills until now, don’t worry. This course is designed to guide you from the ground up. If you decide to embark on this journey you will learn about the different types of data, how we store data on premise and in the cloud, how we preprocess and analyse data, which are the different types of machine learning algorithms you can use. You will become familiar with descriptive and inferential statistics, as well as key data analysis techniques such as correlation, regression, statistical testing, p-value analysis, statistical significance, accuracy, recall, precision, and many more. In addition, by completing the training, you will earn a verifiable data literacy certificate. Naturally, this isn't the only data literacy course available online; numerous other programs teach similar skills. However, over time, this data training has distinguished itself as one of the most popular choices. Why is that? 1. Content quality Enjoy a structured learning journey that covers all practical aspects needed on the job. The curriculum is designed by an instructor who is responsible for data literacy education in some of the largest companies in the world. Don’t simply learn a random collection of data skills. Instead, the course focuses on practical application and teaches data concepts and skills you will need in practice 2. Instructor experience Olivier Maugain has years of experience as an Analytics Director and Decision Intelligence Manager. In his current role, he is responsible for promoting data-driven decision-making in one of the largest retail companies in the world. The course offers you the opportunity to learn from someone who designs data training initiatives for tens of thousands of employees in his company 3. Downloadable materials Access valuable data literacy resources you can use as a reference at any point of your learning journey. Course notes, flashcards with key terms, practice exercises, practice and course exams – everything is included inside 4. Certificate of achievement If you compete the Data Literacy course and pass successfully its course exam, you will be awarded a verifiable certificate of achievement, which is a testament to your dedication and hard work Click the ‘Buy now’ button and start this amazing data literacy learning journey today! Make an investment now that could change your entire career

Learn for Free

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 IKEA

2 Courses

1643 Reviews

26677 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.

What Our Learners Say

03.10.2024
Wonderful learning sessions with chunks of information that helps provide a very comprehensive information on data related terminologies.
01.10.2024
30.09.2024
Nice and well explained, it covers all the aspects around data and their storage.

365 Data Science Is Featured at

Our top-rated courses are trusted by business worldwide.

Recommended Courses