Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training

Which institution offers sales and marketing training in Nairobi?

EduCore Global Skills offers Sales and Marketing courses in Nairobi, Kenya, including short instructor-led programmes for professionals and organizations. Relevant courses in this category link to dates, fees, modules, and registration details.

Where can I take 5-day training Customer Experience, Sales, and Marketing Excellence training in Nairobi, Kenya?

EduCore Global Skills offers Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training for Sales Teams and related professionals. The course page shows current 5 Days, available locations such as Nairobi, Kenya, virtual classroom, and in-house delivery by arrangement, fees where published, upcoming dates, and registration details.

Where can I take Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training training?

EduCore Global Skills offers Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training training in Nairobi, Kenya, virtual classroom, and in-house delivery by arrangement, with virtual live online, physical classroom, and customized in-house corporate delivery where available.

How long is Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training?

Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training is listed as 5 Days. The course page shows the current duration, available dates, delivery format, and registration options.

Who is Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training for?

Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training is designed for Sales Teams, Marketing Officers, Business Development Officers, Account Managers, Customer Service Teams, Professionals and organizations that need practical capability in Customer Experience, Sales, and Marketing Excellence.

Module 1: Excel Data Analysis Foundations

• Workbook structure, data tables, named ranges, and analysis-ready spreadsheet design
• Data types, data quality checks, validation rules, and common spreadsheet risks
• Sorting, filtering, subtotaling, structured references, and reusable analysis layouts
• Professional spreadsheet documentation, version control, and audit-friendly workbook habits
• Exercise: convert a raw worksheet into a clean analysis-ready Excel table

Module 2: Formulas, Functions, and Analytical Logic

• Logical, lookup, text, date, statistical, and dynamic array functions for analysis
• XLOOKUP, INDEX MATCH, FILTER, SORT, UNIQUE, SUMIFS, COUNTIFS, and nested formulas
• Error handling with IFERROR, formula auditing, dependency tracing, and calculation checks
• Building reusable calculation blocks for KPIs, ratios, trends, and variance analysis
• Exercise: build an analytical formula model for a management reporting dataset

Module 3: Data Cleaning and Transformation in Excel

• Cleaning duplicates, blanks, inconsistent labels, extra spaces, data types, and imported text
• Text to Columns, Flash Fill, Remove Duplicates, data validation, and conditional cleanup checks
• Using Power Query in Excel to import, merge, append, reshape, and refresh datasets
• Documenting transformation steps and preparing reliable data refresh workflows
• Exercise: clean and transform multiple Excel files into a consolidated analysis table

Module 4: PivotTables, PivotCharts, and Interactive Analysis

• Creating PivotTables for grouping, summarizing, filtering, ranking, and cross-tab analysis
• Calculated fields, value field settings, slicers, timelines, grouping, and drill-down review
• Building PivotCharts and interactive reporting views for managers and operational teams
• Refreshing, changing data sources, preserving formatting, and troubleshooting pivot errors
• Exercise: create an interactive Excel analysis pack using PivotTables and slicers

Module 5: Advanced Visualization and Dashboard Design in Excel

• Chart selection for trends, comparisons, distributions, variance, composition, and KPI monitoring
• Conditional formatting, sparklines, icon sets, dynamic labels, and dashboard controls
• Designing compact executive dashboards with clear hierarchy, layout discipline, and print readiness
• Avoiding visual clutter, misleading scales, weak chart choices, and inconsistent formatting
• Exercise: design an Excel dashboard from a business performance dataset

Module 6: What-If Analysis, Forecasting, and Decision Models

• Goal Seek, Scenario Manager, Data Tables, Solver concepts, and sensitivity analysis
• Forecast sheets, trendlines, moving averages, seasonality, and simple predictive analysis
• Decision models for budgets, pricing, staffing, inventory, and operational planning
• Validating assumptions, documenting inputs, and presenting model limitations
• Exercise: build a what-if decision model and summarize the recommended scenario

Module 7: Automation, Protection, and Reporting Productivity

• Using templates, data validation, worksheet protection, comments, notes, and controlled inputs
• Introduction to macros, recorded automation, Office Scripts concepts, and repeatable workflows
• Reducing manual reporting effort through refreshable queries, formulas, pivots, and dashboard links
• Quality assurance checklists for recurring Excel reports and shared workbooks
• Exercise: automate a recurring Excel reporting workflow and prepare a QA checklist

Module 8: Capstone Excel Data Analysis Project

• Defining a business question, data requirements, analytical approach, and report audience
• Cleaning data, building formulas, creating pivots, designing dashboards, and validating outputs
• Interpreting insights, writing commentary, recommending actions, and handling review questions
• Packaging the workbook with documentation, assumptions, controls, and improvement notes
• Exercise: deliver a complete Excel analysis workbook and management insight brief

How is Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training delivered?

Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training is delivered through instructor-led classroom, live online, private in-house corporate training depending on the selected cohort or organizational arrangement.

What are the fees for Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training?

The published course investment is KES 75,000. Location-specific fees are shown where configured.

How long is Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training?

Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training runs for 5 Days unless a customized corporate schedule is agreed.

Do participants receive a certificate for Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training?

Participants who complete the course receive a Certificate of Completion from EduCore Global Skills.

Where can I take Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training?

Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training is available in Nairobi, live online, and in-house corporate delivery by arrangement. Current dates are shown only where real sessions have been configured.

Who should attend Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training?

Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training is designed for Sales Teams, Marketing Officers, Business Development Officers, Account Managers, Customer Service Teams, Professionals and organizations that need practical capability in Customer Experience, Sales, and Marketing Excellence.

What are the prerequisites for Customer Experience, Sales, and Marketing Excellence: Analytics for Regional Programs Training?

No mandatory prerequisite is required unless stated in the course outline. Practical workplace experience in the subject area is helpful.