Business and Data Analytics for Beginners

Business and Data Analytics for Beginners

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Overview of Business and Data Analytics for Beginners

This course, Business and Data Analytics for Beginners, introduces learners to practical data analysis and business insights. You will learn Excel basics, data visualization, KPI tracking, reporting tools, and decision making. It also covers statistical basics, data cleaning, and business intelligence to help transform raw data into meaningful insights for business growth.

Section 01 covers Business and Data Analytics fundamentals, Section 02 explains Business Process Model, and Section 03 focuses on Working on Data. This structure builds strong skills in data analysis, business intelligence, data cleaning, and reporting tools. Learners gain practical experience in KPI tracking, decision making, and data visualization for real-world business insights.

By completing this Business and Data Analytics for Beginners course, learners strengthen their ability in data analysis, business insights, and statistical basics. The course enhances Excel basics, reporting tools, KPI tracking, and decision making. With a focus on data visualization, data cleaning, and business intelligence, it prepares you for data-driven business environments.

The course was audited and updated on: 10th June, 2026

Learning Outcomes of Business and Data Analytics for Beginners

Certification

one education Certificate

After completing the Business and Data Analytics for Beginners 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.

Why Study This Business and Data Analytics for Beginners Course?

Business and Data Analytics for Beginners is essential in today’s data-driven world, where organizations rely on insights to make informed decisions and improve performance. This course helps learners understand the basics of analyzing business data effectively.

Studying this course develops skills in data interpretation, reporting, and basic analytical tools. It prepares individuals to identify trends, support decision-making, and contribute to business growth by turning raw data into meaningful insights.

Course Duration

The Business and Data Analytics for Beginners course has a total study time of 1 hour, 51 minutes. Learners can work through the material at a flexible pace, allowing them to complete the programme conveniently while developing foundational skills in data analysis, business insights, and decision-making using analytical tools.

Requirements

The Business and Data Analytics for Beginners course requirements are simple and suitable for beginners and aspiring analysts. Learners should have basic numerical skills, computer literacy, and an interest in understanding data, business insights, and decision-making. The course is fully online, allowing flexible access from any device so participants can study at their own pace and convenience.

Career Path

Frequently Asked Questions

It focuses on understanding data, basic analytics concepts, interpreting business data, using simple tools for analysis, and making data-driven decisions.

No, beginners can join as it is designed for entry-level learners with no prior analytics experience.

It is usually delivered online through self-paced modules, live virtual training, or blended learning formats.

Yes, most courses include quizzes, practical data exercises, and basic analytics assignments.

You will receive a certificate of completion in Business and Data Analytics for Beginners.

You can work as a Data Assistant, Business Support Analyst, Junior Data Analyst, Administrative Analyst, or Reporting Assistant.

Course Curriculum

Section 01: Business and Data Analytics
Introduction to Business and Data Analytics 00:07:00
Where are Insights Business Analytics Being Used 00:11:00
Problem Framing Process 00:11:00
Section 02: Business Process Model
Business Process Modelling 00:10:00
Outcome of the First Step 00:06:00
Outcome of the Second Step 00:07:00
Data Understanding 00:07:00
How Do You Exploit Data that no One Else Has? 00:10:00
Informational System Usually 00:08:00
Section 03: Working on Data
Data Preparation 00:04:00
Evaluation 00:05:00
Deployment 00:07:00
Major Health Insurance Company 00:09:00
Process 00:09:00
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