Monitoring & Evaluation: Logical Framework Aproach 15th - 16th Feb, Kigali

INTRODUCTION

The Logical Framework Approach (LFA) is a highly effective strategic planning and project management methodology with wide application. It comprises an integrated package of tools for analyzing and solving planning problems and for designing and managing their solutions (the approach). The product of this analytical approach is the logframe (the matrix), which summarizes what the project intends to do and how, what the key assumptions are, and how outputs and outcomes will be monitored and evaluated.

DURATION

2 days

TOPICS TO BE COVERED

Introduction to Logical Framework Approach in program design

• What is a frame work?
• Types of frame works-Theoretical framework, Conceptual framework, Logical framework
• Evolution of the logical framework
• Difference between a log frame and LFA
• The causal logic, the vertical logic, the horizontal logic
• Defining the logical framework
• Key steps in the Logical framework approach
• Strengths and limitations of the Log frame
• The Log frame and M&E
• The Objective hierarchy
• Project Strategy – (Objective Hierarchy)
• Logical Framework - Format

LFA and Problem Analysis

• Overview of Project Cycle, Planning, Implementation, & M&E
• Programmatic Language Used in PCM
• PCM Definition of Terms
• Project Hierarchy of Results
• Logframe & the problem tree
• The problem analysis
• Steps in generating a problem tree
• Building a problem tree
• Criteria for Selecting a Problem
• Sample Causal Tree
• Generating Objective Tree
• Group Assignment on Problem Tree

Project Outcomes

• Types of outcomes
• Setting Outcomes
• Identifying Outcomes
• Tracking Outcomes
• Outcome Indicators
• Planning for unexpected outcomes
• Common challenges organizations face when setting project outcomes
• How to demonstrate project outcomes when designing a project
• Outcome and Impact assessment-how to track and assess/evaluate the difference you have made/are making
• Why donors are increasingly getting interested in project outcomes as conditions precedent to the granting of (additional) project funding

Link Between M&E in the Logical Framework

• Complementary Roles of
  Results-Based Monitoring and Evaluation
• Evaluation Means Information
• Evaluation Addresses
• Types of Monitoring
• Key Types of Monitoring
• Traditional Monitoring

M&E Framework and Sampling

• How to write an M&E Framework
• Understanding Outputs, Outcomes and Goals
• Developing indicators
• Practicals: Building a Sample framework from Scratch
• Introduction to sampling
• Differentiating common sampling methods
• The sample size calculator
• Practicals: sampling live data

The 2 day course costs 300$ , Exclusive of a 18% V.A.T, The Cost includes all training fees, materials, lunch and refreshments as well as certificates and 6 month post training support.

Event Details

Event Date	15-02-2018 8:30 am
Event End Date	16-02-2018 4:00 pm
Cut off date	07-02-2018
Individual Price	300$ Per Delegate (Ask for group Discounts)
Location	BCP Training Facilities, Kicukiro, Kigali

How to register:

To register, send an email to: outreach@opencastlabs-africa.com You can also visit our website on www.opencastlabs-africa.com  and fill an online application form and submit to us.

Contact Details:
The Training Coordination Office (Joab/Diana)
Capacity Building Division
Argwings Kodhek Road, opposite YAYA Center
P.o Box 30225 - 00100 , Nairobi, Kenya
Tel: +254 0204409651   Mobile: +254 723870644
Email : outreach@opencastlabs-africa.com

Language

Participants should be reasonably proficient in English.  

Fee Exceptions

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

Accommodation

Accommodation is arranged upon request. For reservations contact us below.

Email: outreach@opencastlabs-africa.com

Payment:

Payment should be transferred through bank 5 days before commencement of training.

Cancellation policy

• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
• The appropriate cancellation charge will apply

Data Analysis with SPSS 19th - 21st Feb, Kigali

In this course we take you through practical sessions of data analysis in SPSS from the basics. We adopt a non-mathematical approach by taking a real life business, research, government and academic organizational perspective. We will dwell in the importation of data from excel, creation of descriptive charts, modifying and selecting cases, calculating descriptive and inferential statistics. We will also tackle modeling of associations with correlations, contingency tables and multiple regressions. We will also learn how to format our output and export tables and charts.

Course overview

Introduction

• ·         Familiarizing with the SPSS interface
• ·         Importing data from excel

 Creating charts for one variable

• ·         Creating bar charts for categorical variables
• ·         Creating boxplots for quantitive variables
• ·         Creating an histogram for quantitive variables

Data modification

• ·         How to recode variables
• ·         How to recode variables with visual binning
• ·         How to recode by rank case
• ·         Computing new variables
• ·         Combining and exclusion of outliers
• ·         How to transform outliers

The data file

• ·         Case selection
• ·         The splitfile command
• ·         How to merge files
• ·         The multiple response command

Descriptive statistics for one variable

• ·         Working with frequencies
• ·         Working with descriptives
• ·         The explore command

Inferential statistics for one variable

• ·         Inferential statistics for a single propotion
• ·         Inferentials for a single mean
• ·         Inferentials for a single categorical variable

Charts for two variables

• ·         Clustered bar charts
• ·         Scatterplots
• ·         Time series charts
• ·         Bar charts for group means
• ·         Population pyramids
• ·         Boxplots for groups
• ·         Side-by-side boxplots

Descriptive and inferential statistics for two variables

• ·         Calculating correlations
• ·         Bivariate regression
• ·         Crosstabs for categorical variables
• ·         Comparing means with the means procedure
• ·         Mean comparison with t test
• ·         Mean comparison with one way ANOVA
• ·         Comparing paired means

Charts for three or more variables

• ·         Clustered bar charts for frequencies
• ·         Scatterplots by group
• ·         3-D scatterplots
• ·         Scatterplot matrices

Descriptives for three or more variables

• ·         Automatic linear models
• ·         Multiple regression
• ·         Comparing means with two-factor ANOVA

Formatting and Exporting tables and charts

• ·         Formatting descriptive statistics
• ·         Formatting correlations
• ·         Formatting regression
• ·         Exporting charts and tables

The 3 day course costs 350$ , Exclusive of a 18% V.A.T, The Cost includes all training fees, materials, lunch and refreshments as well as certificates and 6 month post training support.

Event Details

Event Date	19-02-2018 8:30 am
Event End Date	21-02-2018 4:00 pm
Cut off date	14-02-2018
Individual Price	350$ Per Delegate
Location	BCP Training Facilities, Kicukiro, Kigali

How to register:

To register, send an email to: outreach@opencastlabs-africa.com You can also visit our website on www.opencastlabs-africa.com  and fill an online application form and submit to us.

Contact Details:
The Training Coordination Office (Joab/Diana)
Capacity Building Division
Argwings Kodhek Road, opposite YAYA Center
P.o Box 30225 - 00100 , Nairobi, Kenya
Tel: +254 0204409651   Mobile: +254 723870644
Email : outreach@opencastlabs-africa.com

Language

Participants should be reasonably proficient in English.  

Fee Exceptions

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

Accommodation

Accommodation is arranged upon request. For reservations contact us below.

Email: outreach@opencastlabs-africa.com

Payment:

Payment should be transferred through bank 5 days before commencement of training.

Cancellation policy

• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
• The appropriate cancellation charge will apply

Advanced Excel Report Development and Spreadsheet Modelling 8th - 9th Feb, Kigali

Excel has a number of useful built in functions, but there are also some caveats about its computations. For this reason and to facilitate more flexibility, in this course we shall demonstrate some handcrafted techniques to help the delegates manage large data sets and improve their reporting efficiency.

The course sessions shall focus on how to effectively and efficiently utilize Microsoft Excel for data management, modeling and projection with a positive bias to lookups. Users will not only use Excel to build models, but also to crunch a large data dump. Learn how to minimize as much manual labor as possible, thereby saving time and performing more detailed analysis and projections quickly. Apply commonly-used formulas in new and different ways; uncover often over-looked Excel features; streamline number crunching with pivot tables, functions, arrays, Data tools, Formatting, Macros and VBA programming. 

Course Description:**

This course shows how spreadsheets can be used to enhance management reporting.

The course shows how to analyze and review data extracted from ERP systems and databases in order to prepare management reports, including using Excel’s graphing capabilities. The course studies Excel’s functions and how to use these effectively. The program also shows how to access the Visual Basic Editor and use macros and user defined functions in order to enhance Excel’s functionality. Half a day will also be spent showing attendees how to use Excel’s pivot table functionality. Pivot tables are often poorly understood and yet are the most powerful feature in Excel. A basic pivot table will allow you to summarize 50,000 rows of data in 30 seconds.

The course is highly practical: delegates will be exposed to examples (in Microsoft Excel) throughout the course. 

Methodology

The course is highly interactive, and formal lecture content is kept to a minimum. Spreadsheet techniques are explained and demonstrated by using extensive case studies, adhering closely to real life examples. Throughout the program emphasis is laid on the importance of reality-checking and the dangers of spreadsheet blindness, on a fundamental understanding of key issues and on the skills of communicating conclusions from spreadsheet techniques to colleagues and partners.

Delegates will be expected to be highly participative and motivated to learn, and to express their needs and priorities clearly.

Knowledge Pre-Requisites

Attendees will be expected to be using Excel in the context of a reporting related role and be comfortable with using Excel for data entry. A basic knowledge of Excel will therefore be assumed, but if delegates need a refresher on specific items then, time permitting, the course director will try and meet their needs. The course is also suitable for all senior professionals who may not have had specific spreadsheet training in reporting, analysis, modeling and forecasting, who have developed their skills over time and who would like to develop a broader knowledge of what Excel can offer, as well as reassurance about their existing spreadsheet techniques.

Candidates ideally should bring their own computers with Excel loaded in order to benefit from the course

Course Details:

1.      Analyzing Data

·         Using Automatic Outlining

·         Consolidating Information by Position or Category

·         Inserting Subtotals

·         Creating an Advanced Filter

·         Using Database Functions

2.      Data Management

·         Importing Data from a Text File

·         Exporting Data

·         Converting Text to Columns

·         Connecting to Data in an Access Database

·         Creating a Web Query

·         Importing Web Data using a Saved Query

·         Working with Hypertext Links

3.      Fundamentals of Excel Pivoting

·         Understanding PivotTables

·         Creating a PivotTable using Worksheet Data

·         Creating a PivotTable using an External Data Connections

·         Laying out a PivotTable on a Worksheet

·         Modifying PivotTable Fields

·         Using a Report Filter

·         Refreshing a PivotTable

·         Formatting a PivotTable

4.      Enhancing PivotTables

·         Working with Summary Functions

·         Sorting Items in a PivotTable

·         Creating a Slicer

·         Grouping Data

·         Applying Label and Value Filters

·         Creating a Calculated Field

·         Creating a Calculated Item

·         Creating Charts from PivotTables

5.      Excel Business Analysis

·         Creating Scenarios

·         Working with Scenarios

·         Using Goal Seek

·         Using One-Input Data Tables

·         Using Two-Input Data Tables

·         Understanding Solver

·         Defining a Problem

·         Solving a Problem

·         Generating a Report of Results and Alternate Solutions

6.      Forecasting, Charting and Dashboards

·         Inserting chart Trendline

·         Choosing the right Trendline for the right data

·         Linear forecasting

·         Relationship equations for projection

·         Using Excel for Budgeting

·         Budgeting best practices Building & Linking Budgets

7.      Advanced Formulas and Functions

·         Working with Functions

·         Using the IF Function

·         Nesting Functions

·         Using Multiple Conditions with the IF Function

·         Using Table Lookup Functions (HLookup and VLookup)

·         Using Text Functions

8.      Business Intelligence Fundamentals

·         Introduction to excel PowerBI tools• Importing Data

·         Transforming, cleansing and Filtering Data

·         Merging and Shaping Data

·         Grouping and Aggregating Data

·         Inserting Calculated Columns

9.      Excel automation

·         Recording a Macro

·         Saving a Macro-Enabled Workbook

·         Executing a Macro

·         Creating a Macro Button

·         Working with Macro Buttons

The 2 day course costs 250$, Exclusive of a 18% V.A.T, The Cost includes all training fees, materials, lunch and refreshments as well as certificates and 6 month post training support.

Event Details

Event Start Date	08-02-2018 8:00 Am
Event End Date	09-02-2018 4:00 pm
Cut off date	05-02-2018
Individual Price	250$ Per Delegate (Ask for group Rates)
Location	BCP Training Facilities, Kicukiro, Kigali

How to register:

To register, send an email to: outreach@opencastlabs-africa.com You can also visit our website on www.opencastlabs-africa.com  and fill an online application form and submit to us.

Contact Details:
The Training Coordination Office (Joab/Diana)
Capacity Building Division
Argwings Kodhek Road, opposite YAYA Center
P.o Box 30225 - 00100 , Nairobi, Kenya
Tel: +254 0204409651   Mobile: +254 723870644
Email : outreach@opencastlabs-africa.com

Language

Participants should be reasonably proficient in English.  

Fee Exceptions

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

Accommodation

Accommodation is arranged upon request. For reservations contact us below.

Email: outreach@opencastlabs-africa.com

Payment:

Payment should be transferred through bank 5 days before commencement of training.

Cancellation policy

• All requests for cancellations must be received in writing.
• Changes will become effective on the date of written confirmation being received.
• The appropriate cancellation charge will apply