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Course Analytics & Data-Driven Decisions
Xcel Learning

Complete Learning Program with Expert Mentorship, Free Certification & Lifetime Access

Summary

Price
£22 inc VAT
Study method
Online, On Demand 
Course format
12 PDFs and 1 Assessment
Duration
1.1 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free
Assessment details
  • Review Questions and Assessments (included in price)
Additional info
  • Tutor is available to students

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Overview

Course Analytics & Data-Driven Decisions is a comprehensive course designed to equip learners with the knowledge and skills required to make data-driven business decisions. The course explores how data can be transformed into meaningful insights through analytical thinking, statistical analysis, and modern analytics tools. Learners gain a strong foundation in data fundamentals, descriptive and predictive analytics, machine learning, data visualization, and prescriptive decision-making.

The course emphasizes practical application of analytics across key business functions such as marketing, finance, operations, and strategy. Ethical considerations, governance, and analytics strategy are integrated throughout to ensure responsible and effective use of data. By combining conceptual understanding with real-world business scenarios, the course prepares learners to interpret analytical results, communicate insights clearly, and support managerial decision-making. Upon completion, learners will be able to apply analytics techniques to solve business problems, improve organizational performance, and contribute to data-driven strategies in a competitive business environment.

Certificates

Assessment details

Review Questions and Assessments

Included in course price

Curriculum

This course contains

Format: 12 PDFs and 1 Assessment

Duration: 1h and 8m

Description

Discover the Exciting Subjects Awaited in This Course!

Chapter 1: Introduction to Business Analytics

  1. Definition and Scope of Business Analytics
  2. Importance of Analytics in Business Decision-Making
  3. Types of Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
  4. Analytics Ecosystem and Tools Overview
  5. Business Analytics Use Cases Across Industries

Chapter 2: Data Fundamentals for Analytics

  1. Types of Data: Structured, Semi-Structured, Unstructured
  2. Data Sources and Data Collection Methods
  3. Data Quality Dimensions and Issues
  4. Data Cleaning and Preparation Basics
  5. Data Governance and Ethics

Chapter 3: Descriptive Analytics and Data Exploration

  1. Summary Statistics and Data Profiling
  2. Data Visualization Principles
  3. Exploratory Data Analysis (EDA)
  4. Dashboards and Reporting
  5. Business Insights from Descriptive Analytics

Chapter 4: Excel and Spreadsheet Analytics

  1. Data Analysis Using Excel
  2. Formulas, Functions, and Pivot Tables
  3. Charts and Visual Analysis in Excel
  4. What-If Analysis and Scenario Modeling
  5. Excel for Business Decision Support

Chapter 5: Database Concepts and SQL for Analytics

  1. Introduction to Databases and Data Warehousing
  2. Relational Database Concepts
  3. SQL Basics: SELECT, WHERE, GROUP BY
  4. Advanced SQL for Analytics
  5. Integrating SQL with Analytics Tools

Chapter 6: Statistical Foundations for Business Analytics

  1. Descriptive vs Inferential Statistics
  2. Probability Concepts and Distributions
  3. Sampling and Hypothesis Testing
  4. Correlation and Regression Analysis
  5. Interpreting Statistical Results for Business

Chapter 7: Predictive Analytics and Modeling

  1. Introduction to Predictive Analytics
  2. Regression Models for Prediction
  3. Classification Techniques
  4. Model Evaluation and Validation
  5. Business Applications of Predictive Models

Chapter 8: Machine Learning for Business Analytics

  1. Overview of Machine Learning Concepts
  2. Supervised vs Unsupervised Learning
  3. Clustering and Segmentation
  4. Decision Trees and Ensemble Methods
  5. Practical Machine Learning Use Cases

Chapter 9: Data Visualization and Business Intelligence Tools

  1. Principles of Effective Data Visualization
  2. Introduction to BI Tools (Power BI, Tableau)
  3. Interactive Dashboards Design
  4. Storytelling with Data
  5. Communicating Insights to Stakeholders

Chapter 10: Prescriptive Analytics and Optimization

  1. Introduction to Prescriptive Analytics
  2. Optimization Models and Techniques
  3. Simulation and Risk Analysis
  4. Decision Analysis and Business Rules
  5. Prescriptive Analytics in Practice

Chapter 11: Big Data and Advanced Analytics

  1. Introduction to Big Data Concepts
  2. Big Data Technologies Overview
  3. Analytics on Big Data Platforms
  4. Real-Time and Streaming Analytics
  5. Business Value from Big Data

Chapter 12: Analytics Strategy, Ethics, and Capstone

  1. Building an Analytics-Driven Organization
  2. Analytics Project Lifecycle Management
  3. Ethical, Legal, and Privacy Considerations
  4. Measuring ROI of Analytics Initiatives
  5. Capstone Project and Case Studies

Unleash Your Potential: Join Us Today and Elevate Your Skills with a Prestigious Digital Certificate upon Course Completion!

Who is this course for?

This course is designed for professionals, students, and decision-makers who want to leverage data for strategic insights. It suits business analysts, managers, marketers, and entrepreneurs seeking to improve performance through analytics. Anyone interested in transforming raw data into actionable decisions and gaining a competitive advantage will benefit from this program.

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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