Data Analysis for Managers
Course ID: 260511 0101 109ESH
Course Dates : 11/05/2026 Course Duration : 5 Studying Day/s Course Location: London, United Kingdom
Language: Bilingual
Course Category: Professional and CPD Training Programs
Course Subcategories:
Business Analytics & Insight Business Decision Making Financial Analysis Leadership & Management Development Strategic Management
Course Certified By: ESHub CPD & LondonUni - Executive Management Training
* Professional Training and CPD Programs
Leading to:
Executive Diploma Certificate
Leading to:
Executive Mini Masters Certificate
Leading to
Executive Masters Certificate
Certification Will Be Issued:
From London, United Kingdom
Course Fees:
VAT varies by course location and participant nationality.
Date has passed please contact us Sales@e-s-hub.com
Introduction
This five-day course gives managers practical skills to use data in daily decisions. You will learn how to access, clean, analyze, and present data without relying on analysts for routine tasks. The program focuses on spreadsheets, basic SQL, common visualizations, and framing questions that lead to action. Sessions use real business examples and hands-on exercises.
Objectives
1. Load, clean, and reshape datasets in Excel or Google Sheets to make them analysis-ready.
2. Write basic SQL queries to extract, filter, and join data from relational sources.
3. Build clear charts and simple dashboards that answer specific business questions.
4. Define and track KPIs tied to business objectives and detect trends or anomalies.
5. Present data findings and concise recommendations to non-technical stakeholders with supporting visuals.
2. Write basic SQL queries to extract, filter, and join data from relational sources.
3. Build clear charts and simple dashboards that answer specific business questions.
4. Define and track KPIs tied to business objectives and detect trends or anomalies.
5. Present data findings and concise recommendations to non-technical stakeholders with supporting visuals.
Who Should Attend
Product managers
Operations managers
Finance managers (budgeting and forecasting)
Marketing managers (campaign performance)
HR business partners (workforce analytics)
Training Method
• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Post-assessment
If Applicable:
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts
Program Support
This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.
Course Agenda
Daily Schedule (Monday to Friday)
- 09:00 AM – 10:30 AM Technical Session 1
- 10:30 AM – 12:00 PM Technical Session 2
- 12:00 PM – 01:00 PM Technical Session 3
- 01:00 PM – 02:00 PM Lunch Break (If Applicable)
- Participants are expected to engage in guided self-study, reading, or personal reflection on the day’s content. This contributes toward the CPD accreditation and deepens conceptual understanding.
- 02:00 PM – 04:00 PM Self-Study & Reflection
Please Note:
- All training sessions are conducted from Monday to Friday, following the standard working week observed in the United Kingdom and European Union. Saturday and Sunday are official weekends and are not counted as part of the course duration.
- Coffee and refreshments are available on a floating basis throughout the morning. Participants may help themselves at their convenience to ensure an uninterrupted learning experience Provided if applicable and subject to course delivery arrangements.
- Lunch Provided if applicable and subject to course delivery arrangements.
Week 1
Day 1 – Foundations of Data Analysis for Managers
1. Data-Driven Decision Making
- The role of data in management
- Defining business questions
- Identifying decision-making objectives
2. Working with Business Data
- Understanding data sources
- Importing datasets into Excel or Google Sheets
- Assessing data quality
3. Data Preparation
- Cleaning inconsistent data
- Handling missing and duplicate records
- Structuring data for analysis
Day 2 – Spreadsheet Analysis Techniques
1. Spreadsheet Functions
- Using formulas and functions
- Sorting and filtering data
- Conditional calculations
2. Data Organisation
- Creating structured tables
- Applying data validation
- Managing large datasets
3. Pivot Tables and Summaries
- Building pivot tables
- Grouping and aggregating data
- Analysing business performance
Day 3 – Introduction to SQL for Managers
1. SQL Fundamentals
- Understanding relational databases
- Tables, fields, and records
- Connecting to data sources
2. Basic SQL Queries
- Selecting required data
- Filtering records with conditions
- Sorting query results
3. Combining Data
- Joining related tables
- Retrieving meaningful business information
- Validating query results
Day 4 – Data Visualisation and KPIs
1. Business Charts
- Selecting appropriate chart types
- Presenting trends and comparisons
- Avoiding misleading visualisations
2. Dashboard Development
- Designing simple dashboards
- Displaying key business metrics
- Monitoring operational performance
3. KPI Management
- Defining measurable KPIs
- Tracking business objectives
- Identifying trends and anomalies
Day 5 – Practical Data Analysis Workshop
1. Business Data Analysis Exercise
- Cleaning and analysing a business dataset
- Answering management questions
- Identifying key insights
2. Dashboard and Presentation
- Building a management dashboard
- Presenting findings with visuals
- Making evidence-based recommendations
3. Implementation Planning
- Applying analysis techniques in daily work
- Developing a personal action plan
- Course review, feedback and implementation planning
