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Introduction to Data Literacy Training

Introduction to Data Literacy Training

Course 1291

Duration: 2 days
Language: English
Level: Foundation

Data literacy is the ability to read, use, understand, and communicate data as information. At the organisational level, it is the extent to which the organisation, and its members, comprehends and communicates data to drive value. A data-literate workforce will be able to understand, share common knowledge of, and have meaningful conversations about data.

After taking this data literacy course, you'll be able to understand, use, read, and interpret enterprise data consistently and derive trusted insights. Your skills will be manifested in the execution of your role in the organisation.

Data Literacy Training Delivery Methods

In-Person
Online

Data Literacy Training Information

In this course, you will learn how to:

Interpret and explain:

Straightforward statistical operations such as correlations or judge averages.
A business case based on concrete, accurate, and relevant data.
The output of the organisation's systems or processes to stakeholders.
The output of machine learning algorithms.
The essence of data shared with colleagues or other organisations.

Use data in the:

Managing complex supply chains.
Understanding of market and customer requirements.
Driving product and service innovations.
Evaluation and monitoring of process efficiencies.
Mitigation of risks.
Spotting unexpected operational issues and identification of their root causes.

Training Prerequisites

None.

Data Literacy Training Outline

Section 1: Understanding Data

Module 1: Qualitative vs. Quantitative Data
Module 2: Structured vs. Unstructured Data
Module 3: Data at Rest, in Use, and Motion
Module 4: Transactional vs. Master Data
Module 5: Big Data
Module 6: Storing Data
Module 7: Database
Module 8: Data Warehouse
Module 9: Data Marts
Module 10: The ETL Process
Module 11: Big Data Frameworks
Module 12: Cloud Systems
Module 13: Edge Computing
Module 14: Batch vs. Stream Processing
Module 15: Graph Database
Module 16: Visualising unfamiliar data

Section 2: Using Data

Module 1: Analysis vs. Analytics
Module 2: Descriptive Statistics
Module 3: Inferential Statistics
Module 4: Business Intelligence (BI)
Module 5: Artificial Intelligence (AI)
Module 6: Machine Learning (ML)
Module 7: Supervised Learning
Module 8: Regression Analysis
Module 9: Time Series Forecasting
Module 10: Classification
Module 11: Unsupervised Learning
Module 12: Clustering
Module 13: Association Rules
Module 14: Reinforcement Learning
Module 15: Deep Learning
Module 16: Natural Language Processing (NLP)

Section 3: Reading data

Module 1: Data Quality Assessment
Module 2: Data Description
Module 3: Measures of Central Tendency
Module 1: Measures of Spread

Section 4: Interpreting Data

Module 1: Correlation Analysis
Module 2: Correlation Coefficient
Module 3: Correlation and Causation
Module 4: Simple Linear Regression
Module 5: R-Squared
Module 6: Forecasting
Module 7: Forecast Errors
Module 8: Statistical Tests
Module 9: Hypothesis Testing
Module 10: P-Value
Module 11: Statistical Significance
Module 12: Classification
Module 13: Accuracy
Module 14: Recall and Precision
Module 15: Visualising Data to Communicate Results

Get This Course 18 830 kr

2-Day Instructor-Led Training Course
Learning Tree exam included
After-course instructor coaching benefit

Include dates with afternoon start times

#1291

okt 23 - 24 9:00 - 16:30 CEST

Virtual
okt 23 - 24 10:00 - 17:30 CEST

Virtual
nov 6 - 7 15:00 - 22:30 CET

New York or Virtual
dec 4 - 5 15:00 - 22:30 CET

Ottawa or Virtual
jan 8 - 9 15:00 - 22:30 CET

Herndon, VA or Virtual
jan 22 - 23 9:00 - 16:30 CET

Stockholm or Virtual
jan 22 - 23 10:00 - 18:00 CET

London or Virtual
feb 5 - 6 15:00 - 22:30 CET

New York or Virtual
mar 4 - 5 15:00 - 22:30 CET

Ottawa or Virtual
apr 8 - 9 15:00 - 22:30 CEST

Herndon, VA or Virtual
apr 22 - 23 9:00 - 16:30 CEST

Stockholm or Virtual
apr 22 - 23 10:00 - 18:00 CEST

London or Virtual
maj 6 - 7 15:00 - 22:30 CEST

New York or Virtual
jun 3 - 4 15:00 - 22:30 CEST

Ottawa or Virtual
jul 2 - 3 15:00 - 22:30 CEST

Herndon, VA or Virtual
jul 22 - 23 9:00 - 16:30 CEST

Stockholm or Virtual
jul 22 - 23 10:00 - 18:00 CEST

London or Virtual
aug 6 - 7 15:00 - 22:30 CEST

New York or Virtual
sep 3 - 4 15:00 - 22:30 CEST

Ottawa or Virtual

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Data Literacy Training FAQs

Data literacy is reading, understanding, creating and communicating data as information. It involves skills, knowledge, and the mindset necessary to use data effectively to make informed decisions.

Data is becoming increasingly important in many areas of work and life. Data literacy helps individuals and organisations make better decisions, solve complex problems, and identify new opportunities.

Anyone who works with data or needs to make data-driven decisions can benefit from this data literacy training course. This includes individuals in business, healthcare, education, government, and more.

Organisations can support employee data literacy by providing regular training programs, access to relevant data sets, and daily opportunities to apply their data skills. Promoting a data-driven culture and encouraging ongoing learning and development in data literacy is also essential.

Check out our free webinar on Data Literacy as a primer on this topic. You will learn how Data Literacy can help your organisation get the most value from your data, and how understanding the Data language can help with your day-to-day work.

Introduction to Data Literacy Training

Data Literacy Training Delivery Methods

Data Literacy Training Information

Data Literacy Training Outline

Section 1: Understanding Data

Section 2: Using Data

Section 3: Reading data

Section 4: Interpreting Data

Data Literacy Training FAQs

What is data literacy?

Why is data literacy critical?

Who should participate in a data literacy training course?

How can organisations support data literacy among their employees?

Where can I learn more about Data Literacy before taking this class?

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