Data Analytics involves collecting, processing, and interpreting data to uncover patterns, trends, and insights. It supports informed decision-making, improves performance, enhances forecasting accuracy, and drives strategic growth across industries.
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1 Year Access 
Level 7 
25 Students 
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Data Analytics is designed to build practical knowledge of Data Analysis, Statistical Analysis, and Data Interpretation. Explore how data is gathered, stored, analysed, and transformed into meaningful Data Insights. Develop essential Analytical Skills for understanding information and supporting informed decisions across modern business environments.
Build confidence in Business Analytics through structured data analysis processes, data mining, and Excel Analytics. Learn how to gather the right information, organise data effectively, use Data Analytics tools, and apply analytical thinking. Strengthen your ability to produce accurate Data Reporting and extract valuable insights from complex datasets.
Develop practical expertise in Data Visualisation and learn how to communicate findings clearly and effectively. Explore Data Visualisation Tools and techniques for presenting meaningful patterns, trends, and results. This Data Analytics course helps learners turn raw information into actionable Data Insights while developing valuable skills for professional and business decision-making.
Learners complete an assignment designed to evaluate their understanding of the course content. The assignment is reviewed by qualified tutors who provide personalised feedback, allowing learners to demonstrate their applied knowledge and skills.
After completing the Data Analytics course assessment, you will be eligible to receive a CPD-accredited certificate worth £9 from One Education to demonstrate your achievement.
The certificate is also available as a printed hard copy delivered by post for £15.
Quality Licence Scheme Endorsed Certificate
Learners also have the option to order a Quality Licence Scheme (QLS) Endorsed Certificate as additional proof of achievement. The QLS Endorsed Certificate can be delivered by post for £129, with an additional £10 postage charge for international students.
This course has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course is not regulated by Ofqual and is not an accredited qualification. Your training provider will be able to advise you on any further recognition, for example progression routes into further and/or higher education. For further information please visit the Learner FAQs on the Quality Licence Scheme website.
Data Analytics helps organisations transform raw information into meaningful insights for better decision-making. This course introduces Data Analysis, Data Visualisation, Business Analytics, Data Interpretation, Statistical Analysis, Data Reporting, Data Insights, Excel Analytics, and essential Analytical Skills to build a practical foundation in modern data-driven environments.
Studying Data Analytics can strengthen practical skills for analysing, interpreting, and presenting information effectively. Learners can work with data, apply Statistical Analysis, create meaningful visualisations, develop Excel Analytics skills, prepare Data Reports, and generate actionable Data Insights to support informed business decisions and professional performance.
The Data Analytics course has a total study timeframe of 3 weeks, 4 days. Learners can progress through the programme at a flexible pace, developing practical skills in Data Analytics, Data Analysis, Data Visualisation, Business Analytics, Data Interpretation, Statistical Analysis, Data Reporting, Data Insights, Excel Analytics, and Analytical Skills.
The Data Analytics course has no formal entry requirements, making it suitable for beginners and aspiring data professionals. An interest in data analytics, data analysis, data visualisation, business analytics, statistical analysis, data interpretation, data reporting, data insights, Excel analytics, and analytical skills is beneficial. Good English, basic numeracy and computer skills, and reliable internet access are recommended for effective online learning.
What is the Data Analytics course?
The Data Analytics course provides a practical introduction to analysing, interpreting, and presenting data for informed decision-making. It covers Data Analytics, Data Analysis, Data Visualisation, Business Analytics, Data Interpretation, Statistical Analysis, Data Reporting, Data Insights, Excel Analytics, and Analytical Skills.
Who is the Data Analytics course suitable for?
The course is suitable for beginners, students, business professionals, managers, analysts, entrepreneurs, and anyone who wants to develop practical Data Analytics and Analytical Skills for working with data and supporting business decision-making.
What will I learn from this Data Analytics course?
You will explore Module 01: Introduction to the World of Data, Module 02: Basics of Data Analytics, and Module 03: Statistics for Data Analytics, followed by further topics covering data analysis and interpretation. The course helps develop Statistical Analysis, Data Visualisation, and Data Reporting skills.
What is Data Analytics?
Data Analytics involves examining, processing, and interpreting data to identify patterns, trends, relationships, and useful information. It can help organisations generate Data Insights and make more informed business and operational decisions.
What is Data Visualisation and Data Interpretation?
Data Visualisation involves presenting data through charts, graphs, and other visual formats to make information easier to understand. Data Interpretation involves examining results and drawing meaningful conclusions from analysed data.
What are the benefits of studying Data Analytics?
The course can strengthen your knowledge of Data Analytics, Data Analysis, Data Visualisation, Business Analytics, Data Interpretation, Statistical Analysis, Data Reporting, Data Insights, Excel Analytics, and Analytical Skills, providing a useful foundation for working with data in modern business environments.
| Module 01: Introduction to the World of Data | |||
| Introduction to the World of Data | 01:00:00 | ||
| Module 02: Basics of Data Analytics | |||
| Basics of Data Analytics | 00:40:00 | ||
| Module 03: Statistics for Data Analytics | |||
| Statistics for Data Analytics | 01:00:00 | ||
| Module 04: Actions Taken in the Data Analysis Process | |||
| Actions Taken in the Data Analysis Process | 00:55:00 | ||
| Module 05: Gathering the Right Information | |||
| Gathering the Right Information | 01:00:00 | ||
| Module 06: Storing Data | |||
| Storing Data | 01:15:00 | ||
| Module 07: Data Mining | |||
| Data Mining | 01:00:00 | ||
| Module 08: Excel for Data Analytics | |||
| Excel for Data Analytics | 01:20:00 | ||
| Module 09: Tools for Data Analytics | |||
| Tools for Data Analytics | 01:20:00 | ||
| Module 10: Data-Analytic Thinking | |||
| Data-Analytic Thinking | 01:10:00 | ||
| Module 11: Data Visualisation That Clearly Describes Insights | |||
| Data Visualisation That Clearly Describes Insights | 00:45:00 | ||
| Module 12: Data Visualisation Tools | |||
| Data Visualisation Tools | 01:00:00 | ||
| Assignment | |||
| Assignment – Data Analytics | 3 weeks, 3 days | ||
| Order Your Certificate | |||
| Order Your Certificate QLS | 00:00:00 | ||
Take All courses for £49