BUSINESS
Course ID
Key schedule and booking details
Length 5 Days
Location online
Fees £ 1850
Date 2026-10-05
OVERVIEW
Data isn’t just numbers—it’s the fuel that drives smart business decisions. But collecting data isn’t enough. You need to analyze, interpret, and apply it strategically to gain a competitive edge. That’s where the Business Analytics: Data and Decisions course comes in.
This course is designed to bridge the gap between data and business strategy. Whether you’re an analyst, manager, or decision-maker, you’ll gain the essential math, statistics, and machine-learning skills to turn raw data into actionable insights. By the end, you’ll be equipped to make data-driven decisions with confidence, optimize business processes, and solve complex challenges using analytical models.
You'll Learn How To:
• Use Python for business analytics and predictive modeling.
Master key statistical techniques to analyze and interpret data.
• Build machine learning models to forecast business trends.
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• Apply linear programming and optimization to solve real-world business problems.
If you’ve ever wondered how businesses use data to gain insights, predict trends, and optimize decision-making, this course will give you the skills to do just that.
OBJECTIVES
After completing the Business Analytics: Data and Decisions course, you will be able to: Act confidently in a data-driven business environment.
• Apply practical analytical strategies to support your decisions.
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• Enhance your understanding of data and analyze it in innovative ways.
IDEAL PARTICIPANTS
The Business Analytics: Data and Decisions course is ideal for: Managers applying analytics in their work.
• Professionals entering data science.
• Leaders improving data-driven decisions.
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• Consultants deepening analytics knowledge.
OUTLINE
DAY 1
Before diving into analytics, you need a strong foundation in statistics and probability. Today, we’ll build that foundation step by step.
The role of data analytics in business decision-making.
• Introduction to probability theory and how it applies to business problems.
• Bayes' Theorem and conditional probability for risk assessment.
• The Central Limit Theorem and its impact on statistical predictions.
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• Normal and binomial distributions and how to manipulate them.
DAY 2
Python is the go-to programming language for data science and analytics. Today, we’ll learn how to use it for business applications.
• Working with variables, lists, and tuples for data manipulation.
Understanding operating systems and data processing in Python.
• Using dictionaries and Boolean logic for structured data analysis.
• Writing conditional statements and functions to automate tasks.
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• Hands-on Python exercises to build confidence in coding.
DAY 3
Data analysis starts with understanding what the numbers mean. Today, we’ll explore the tools to summarize and visualize data effectively. Types of data and their role in decision-making.
• Estimating key statistical measures for datasets.
• Identifying correlations between variables to uncover patterns.
• Linear regression models for predictive analysis.
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• Case study: Applying descriptive analytics to a business challenge.
DAY 4
Once we understand historical data, we can predict the future. Today, we’ll dive into machine learning and predictive modeling.
• Introduction to supervised learning and classification methods.
Understanding the machine learning workflow and its business applications.
• Regression trees and nearest neighbor models for forecasting.
• Support Vector Machines (SVMs) for complex classification tasks.
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• Hands-on exercise: Using machine learning for predictive analytics.
DAY 5
Businesses thrive on optimization—maximizing efficiency while minimizing costs. Today, we’ll explore how to solve complex business problems using mathematical models. Key optimization challenges and their real-world impact.
• Production planning & capital budgeting – strategies to allocate resources efficiently.
• Defining and recognizing constraints in optimization models.
• Using Excel to implement linear programming solutions.
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• Case study: Applying optimization to real-world business decisions.
Will I receive course materials?
Yes, high-quality documentation is provided to all delegates.
Do you issue certificates?
An accredited Certificate of Completion is awarded upon successful completion.
What are the course timings?
09:00–12:45 or 13:00–17:00.
How do I register and pay?
Complete the registration form on the course page and select your preferred payment method.
What is your cancellation policy?
14 days from booking for a full refund or free transfer; exceptions apply on medical grounds.
Do you offer airport transfers?
Yes, airport pick-up and drop-off to/from the hotel can be arranged.
CONSULTING SERVICES
Tailored solutions for sustainable growth
At Regent Training Centre, we deliver consultancy services designed to help organisations overcome challenges and achieve sustainable growth through practical and results-driven strategies.
