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Program and Budget Analysis Using Microsoft Excel Course

Introduction

Budget analysts working in the government and NGOs are charged with tracking expenditures, reporting on the performance of the financial plan, and forecasting future needs. Rather than only relying on superficial comparisons against previous years’ data and simple (often intuitive) adjustments, they need more sophisticated analytical skills. This course enables students to use more sophisticated analytical tools and advanced features of Microsoft Excel to draw useful and reliable conclusions regarding financial performance, and demonstrate that information graphically to superiors. This results in more productive analyses (less time-consuming, while providing more valuable information), which will aid organizations’ efforts to track expenditures and control budget execution. Approximately 85% of the course time will be spent using Microsoft Excel.

Duration

4 days

Who Takes This Course?

This course is designed for all program and financial management personnel who want to learn about many of the data analysis tools available in Microsoft Excel to aid in creating more compelling analyses of their programs.

Learning Objectives

  • Navigate the Excel ribbon

  • Query databases using the Filter tool and the Advanced Filter too

  • Aggregate and display different attributes of a data set using the PivotTable

  • Use Excel’s Descriptive Statistics tool to calculate statistical measures of central tendency, variation, and shape

  • Use the Histogram tool to organize your data and create a frequency distribution

  • Perform graphical analysis of data

  • Use the Rank and Percentile tool to calculate a data item’s rank and percentile ranking

  • Use time series data and Excel’s trendline function to forecast future budgets, costs, and workloads

  • Learn which trendline (linear, polynomial, logarithmic, or exponential) is the best to use based on R2

  • Identify cost drivers using Excel’s Correlation tool

  • Develop simple linear and multiple linear regression models to develop forecasts and predictive equations using Excel’s Regression tool

Course Topics

Getting Started: Warm-Up and Review

  • The Role of Analysis

  • What Is Analysis?

  • Program Analysis

  • Budget Analysis

  • Financial Analysis

  • Overarching Analysis Principles

  • Excel Overview

  • Excel Dimensions

  • Review of the Excel Basics

  • Order of Operations Review

  • Lesson Wrap-Up

Querying and Analyzing Data

  • Building Background

  • Sorting and Querying/Filtering

  • Excel's Filter Tool

  • Excel's Advanced Filter Tool

  • Excel's PivotTable Tool

Computing Statistics on Collected Data

  • Building Background

  • Frequency Distributions

  • Common Shapes of Frequency Distributions

  • Descriptive Statistics

  • Normal Distributions

  • Excel Functions Used with the Normal Distribution

  • Rank and Percentile Tool

Time Series Analysis and Forecasting

  • Time Series Analysis

  • Inserting A Trendline

Correlation and Regression: Analyzing Costs and Performance

  • Building Background

  • Simple Linear Regression

  • Simple Linear Regression Equation

  • Excel’s Regression Tool

  • Regression Statistics

  • Correlation

  • Correlation Versus Causality

  • The Correlation Matrix

  • Multiple Linear Regression

  • More Regression Statistics

REQUIREMENTS

Participants should be reasonably proficient in English. Applicants must live up to Indepth Research Services (IRES) admission criteria.

METHODOLOGY

The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields.

All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.

ACCREDITATION

Upon successful completion of this training, participants will be issued with an Indepth Research Services (IRES) certificate.

TRAINING VENUE

The training is residential and will be held at IRES training Centre. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

ACCOMMODATION

Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: This email address is being protected from spambots. You need JavaScript enabled to view it..  

Mob: +254 715 077 817

Tel: 020 211 3814

TAILOR- MADE

This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our training centre or at a convenient location.

For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814 or mail This email address is being protected from spambots. You need JavaScript enabled to view it.

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B. 15th April 2019.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.

CANCELLATION POLICY

Payment for the all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.

1.     Participants may cancel attendance 14 days or more prior to the training commencement date.

2.     No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.

Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.

Event Properties

Event Duration 4 Days
Event Date 22-04-2019
Event End Date 25-04-2019
Cut off date 15-04-2019
Individual Price(Kenyan) KES 60,000
Individual Price (International) EUR 687
Individual Price(International in Dollars) USD 880
Location Nairobi, Kenya
We are no longer accepting registration for this event
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