TRAINING COURSE ON BUSINESS ANALYTICS WITH EXCEL

Course fee: KSH 70,000, USD 1,000 Start Date: 27/05/2019 End Date: 31/05/2019 Registration closed, view 2018 course calender

INTRODUCTION

The most common used software for analytics, strategy, and reporting is the Microsoft Excel. This course imparts knowledge and skills to participants on the use of Excel. The course will equip the participants on the effective use of Excel in understanding and interpreting data using statistical concepts. The course will integrate the use of Power BI, the up to date and improves tool by Microsoft facilitating analytics and visualization of data.

COURSE OBJECTIVES

By the end of this course the participants will be able to:

·         Understand business analytics and its importance to business

·         Learn the functions of excel analytics

·         Learn the use of different datasets using slicers and pivotal tables

·         Understand solving of problems using Excel tools

·         Learn the application of statistical tools and concepts such as ANOVA and regression analysis using Excel

·         Use tables, and charts to represent the results

·         Learn the use of Power BI

DURATION

5 Days

WHO SHOULD ATTEND

This course targets professionals who are utilizing Excel and want to learn more on reporting, preparation, and analysis. The course also targets individuals who want to learn about business analytics via the use of Excel.

COURSE OUTLINE

Business analytics introduction

·         Understanding business analytics

·         Analytics versus analysis

·         Forms of analytics

·         Analytics areas

Formatting using Excel

·         Custom Formatting

·         Conditional Formatting

Excel Functions

·         Logical Functions

  • Statistical Function
  • SUMIFS Function
  • HLOOKUP Function

·         Look up and Reference Functions

  • MATCH Function
  • COUNTIFS Function
  • INDEX and OFFSET Function

·         VLOOKUP Function

PIVOT Tables

·         Introduction to Pivotal tables

·         Groups of pivotal tables

·         Calculations (Custom)

·         Differentiation between calculated field and calculated item

·         Slicer creation

Excel dashboard

·         Meaning of a Dashboard

·         Designing a Dashboard

·         Chart Formatting

·         Interactive Dashboards and Charts

Business Analytics using Excel

·         Solver Addin

·         Histogram

·         Goal Seek

  • Data Table
  • Scenario Manager

·         Descriptive Statistics

Statistical Analysis using Excel

·         Testing hypothesis

·         ANOVA

·         Covariance

·         Correlation

·         Regression

Excel VBA

·         MsgBox

·         VBA variables

·         Events

·         Array

·         VBA functions

·         Application Object

Power BI

·         Power Pivot

·         Power View

·         Power Query

·         Power Map

GENERAL NOTES

·         This course is delivered by our seasoned trainers who have vast experience as expert professionals in the respective fields of practice. The course is taught through a mix of practical activities, theory, group works and case studies.

·         Training manuals and additional reference materials are provided to the participants.

·         Upon successful completion of this course, participants will be issued with a certificate.

·         We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more: training@data-afriqueconsultancy.org

·         The training will be conducted at DATA-AFRIQUE TRAINING CENTRE, Nairobi Kenya.

·         The training fee covers tuition fees, training materials, lunch and training venue. Accommodation and airport transfer are arranged for our participants upon request.

·         Payment should be sent to our bank account before start of training and proof of payment sent to: training@data-afriqueconsultancy.org

Start Date: 27/05/2019 End Date: 31/05/2019
Course fee in Kenya Shillings: KSH 70,000 Course fee in USA Dollars: USD 1,000
Registration closed, view 2018 course calender