• Domain 1 - IT Risk Identification (27% of exam)
• Domain 2 - IT Risk Assessment (28% of exam)
• Domain 3 - Risk Response and Mitigation (23% of exam)
• Domain 4 - Risk and Control Monitoring and Reporting (22% of exam)

• This certification is globally recognized.
• Information systems and remote learning and working are new norm amid covid 19 pandemic.
• Cyber risks are emerging and increasing.
• Preventative measures to safe-guard one’s information and privacy.
• All business activities are online and we are performing all our transactions using mobile apps and laptops.
• It reflects IT competency, IT knowledge and IT experience
• Helps to reduce efforts of proving equivalency of qualification in foreign land if you opt for immigration.
• Certification helps individuals to do self-business or start-up their own business.

• Online LIVE Instructor Led Training.
• Physical Classroom Training at our centers in Dubai.

• Exclusive batches are made and training is conducted on weekdays and weekend batches.
• Material access is been provided for study and reference.
• If any student misses out any physical class he can attend the same class in the next supplementary batch which we call it as make over classes.
• Practical and present challenges and situations shall be discussed and interacted with relevant solution and best practices in supply chain.

Cost: 2999 AED

Duration: 20 To 40 Hours

MODULE 1: 

The ArcGIS platform
Lesson introduction
The ArcGIS platform
Getting to know the ArcGIS platform
Components used in this course
Lesson review
 
MODULE 2: 

The basics of GIS
Lesson introduction
Applications of GIS
ArcGIS online
Sign in to ArcGIS Online
Choose a base map
Add a data fie to your map
Save and share your map
Lesson review

MODULE 3: 

Understanding GIS data
Lesson introduction
Turning geographic information into GIS data
GIS data models
Explore GIS data models in ArcMap
Which data model is better?
Working with tables
Documenting your data
Open ArcMap and create a folder connection
View data in a GIS
Identify various fie types
View an item description
Correct an error in an item's metadata
Preview a dataset's geography and table
Add data to the map

Lesson review

MODULE 4: 

ArcGIS online
ArcGIS Online content
GIS services and web maps
Web mapping applications and mobile apps
Tools and data from ArcGIS Online
Explore GIS content using ArcGIS Online
Browse ArcGIS Online for web content
Browse ArcGIS Online for desktop content
View an item's details
Examine options for opening ArcGIS Online items
Lesson review

MODULE 5: 

The importance of coordinate systems
Lesson introduction
What is location?
How spatial data stores location
Geographic coordinate systems
Working with data in different geographic coordinate systems
Projected coordinate systems
Spatial properties and distortion
Understanding distortion
Work with coordinate systems
Identify the coordinate system for a dataset
Identify the coordinate system for another dataset
Identify a dataset with a different coordinate system
Identify a dataset with an unknown coordinate system
Assign a coordinate system to a dataset without a spatial reference
Change the coordinate system for a dataset
Lesson review

MODULE 6: 

Acquiring and selecting GIS data
Lesson introduction
Methods for obtaining GIS data
Accessing GIS data
Considerations for creating GIS data
Creating data
Considerations for choosing GIS data
Evaluating GIS data

MODULE 7: 

GIS Data
Gather and evaluate GIS data
Consider the data you need
Examine the data you have
Add data from another organization
Add data from ArcGIS Online
Transfer files from one geodatabase to another
Import shapefiles into the geodatabase
Lesson review

MODULE 8: 

Interacting with a map
Lesson introduction
Symbology and visualization
Finding, identifying, and selecting features
Asking questions and getting answers
Getting information from a GIS map
Explore a map using ArcMap
Navigate the map
Modify symbology
Identify features
Find features
Export selected features from a fie to a geodatabase
Select features
Examine an attribute table
View data change over time
Explore a map using ArcGIS Online
Navigate the map
Modify symbology
Identify features
Locate addresses and features
Select features and view an attribute table
Lesson review

MODULE 9: 

Performing spatial analysis
Lesson introduction
The geographic approach revisited
Questions you can answer with GIS
What is spatial analysis?
Geoprocessing in analyses
Common analysis tasks
Perform spatial analysis with common analysis tools
Open ArcMap and examine the map document
Extract features in your area of interest
Identify vulnerable facilities in Lee County
Overlay the Cat3 layer with Lee County
Identify hospitals close to the storm surge inundation polygon
Lesson review

MODULE 10: 

Sharing results
Lesson introduction
The importance of sharing results
Sharing content through ArcMap
Sharing content through ArcGIS Online
Export the map as a PDF
Create a map package and upload it to ArcGIS Online
Create a web map
Customize map symbology and save the map
Create a web mapping application
 

Cost: 2000 USD

Duration: 10 Days

Technology has introduced new ways of collecting data for monitoring and evaluation that does not require the use of papers such as through the Mobile Data Collection (MDC). Using the MDC data is collected on the phone and transmitted to a server for analysis. This training will equip the participants with skills to author, field and manage mobile data collection platform using ODK.

COURSE OBJECTIVES

By the end of the training the participants will be able to:

• Create survey forms using Build or XLSForms
• Upload forms to an Aggregate server
• Load forms into Collect on an Android device
• Fill out forms with participants using Collect
• Upload survey data from Collect to Aggregate
• Analyze or export data in Aggregate

COURSE OUTLINE

Introduction to Mobile Data Collection

• Introduction to collection of mobile data
• Platforms for collection of mobile data
• Advantages of Mobile Applications
• Challenges
• Aggregation, storage, and dissemination of data
• Types of questions in a questionnaire

• Components of Open Data Kit (ODK)
  • ODK Form
  • ODK Collect Application Interface
  • ODK Aggregate
  • ODK Manage
• Platforms and formats of ODK
• Download and installation of ODK collect into mobile phones

• Creating ODK Collect Forms

• Downloading forms;
• Using Excel to create ODK Data Collect Form

• Creating and Publishing forms to Agregate or XML

• Designing forms directly on:

• ODK Build
• Koboform builder
• PurcForms

• Introduction to XLS forms syntax
• Manually creating XLS forms
• Constraints & Skips
• Form validation

• Installation and Setup of ODK Collect
• Menus, Settings and Security of ODK Collect
• Form Management in Collect
• ODK Collect Best practices

• Using Google App Engine to set up own aggregate server
• ODK Aggregate Server configuration
• Creating a server
• Uploading the form to aggregate server      
• Submission of  completed data to aggregate server
• Exporting data from ODK Aggregate as CSV
• Importing ODK - CSV file into statistical applications

• Direct download of data from Aggregate
• Outputting data through;

• Google Spreadsheet
• Google Fusion Tables

• GPS Coordinates (Google maps) exportation to Fusion Tables
• GPS data exportation for Mapping/Visualizing (fusion map)
• Data exportation to Fusion Tables using QGIS

Cost: 1000 USD

Duration: 5 Days

Cost: 150000 KES

Duration: Upto 7 Months

Cost: 30000 KES

Duration: Upto 4 Weeks

Cost: 30000 KES

Duration: Upto 6 Weeks

• Area 1—Information Security Governance (24%)
• Area 2—Information Risk Management (30%)
• Area 3—Information Security Program Development and Management (27%)
• Area 4—Information Security Incident Management (19%)

Cost: 2799 AED

Duration: 20 To 40 Hours

Cost: 3299 AED

Discount: 20% Off for Laimoon Users!

Duration: 30 To 50 Hours

Get to learn modern JavaScript (ES6), appreciate the browser, Web technologies and their relationship with the language. With a solid background and plenty of introductions to core JavaScript concepts, we guarantee your fluency in the language and an open door into the modern JavaScript community

Deep Dive into

We explore the JavaScript runtime environment outside the browser context, the platform. Get a solid grasp of main concepts, including its event -driven architecture capable of asynchronicity, modules, the Node Package Manager (NPM), package files and semantic versioning. Leveraging the power of , write custom command line tools and server-side scripts for optimized throughput and scalability in your web applications

Data Structures and Algorithms

Learn to implement the various data structures, including linked lists, queues, stacks, hash tables, sets, all in JavaScript. Get a solid understanding of algorithm analysis to help you write maintainable and extensible quality software. Innovatively build on native JavaScript constructs and create object collection data structures while finding out how to develop, analyze, search and sort such data stores.

Front-end Development with React

Confidently architect React Web applications with intuitive user interfaces, that are simple and easy to maintain. Grasp the concepts of components, JSX and the virtual DOM, state management, routing, Flux and Redux, and GraphQL. Get essential hands-on experience in Test- driven Development to create clean, reliable ;

Android and iOS App Development

By this level, the engineers will be able to design and build scalable Web applications in JavaScript and the React library at a moment's notice. Armed with this knowledge, we utilize React's design pattern in React Native to build cross-platform moblie apps using only JavaScript. Explore React Native's diverse ecosystem, including core Components and APIs, Navigation, Animation, Gestures and Native Modules for iOS and Android platforms

Cost: 100000 KES

Discount: 50% Off for Laimoon Users!

Duration: 5 Months

Cost: 3995 USD

Duration: 5 Days

• Analyze t data by applying appropriate statistical techniques
• Interpret the  statistical analysis
• Identify statistical techniques a best suited to data and questions
• Strong foundation in fundamental statistical concepts
• Implement different statistical analysis in R and interpret the results
• Build intuitive data visualizations
• Carry out formalized hypothesis testing
• Implement linear modelling techniques such multiple regressions and GLMs
• Implement advanced regression analysis and multivariate analysis

• Introduction to the Instructor and Course
• Data & Code Used in the Course
• Statistics in the Real World
• Designing Studies & Collecting Good Quality Data
• Different Types of Data

• Rationale for this section
• Introduction to the R Statistical Software & R Studio
• Different Data Structures in R
• Reading in Data from Different Sources
• Indexing and Subletting of Data
• Data Cleaning: Removing Missing Values
• Exploratory Data Analysis in R

• Quantitative Data
• Measures of Center
• Measures of Variation
• Charting & Graphing Continuous Data
• Charting & Graphing Discrete Data
• Deriving Insights from Qualitative/Nominal Data

• Data Distribution: Normal Distribution
• Checking For Normal Distribution
• Standard Normal Distribution and Z-scores
• Confidence Interval-Theory
• Confidence Interval-Computation in R

•  Hypothesis Testing
• T-tests: Application in R
• Non-Parametric Alternatives to T-Tests
• One-way ANOVA
• Non-parametric version of One-way ANOVA
• Two-way ANOVA
• Power Test for Detecting Effect

• Explore the Relationship Between Two Quantitative Variables
• Correlation
• Linear Regression-Theory
• Linear Regression-Implementation in R
• Conditions of Linear Regression
• Multi-collinearity
• Linear Regression and ANOVA
• Linear Regression With Categorical Variables and Interaction Terms
• Analysis of Covariance (ANCOVA)
• Selecting the Most Suitable Regression Model
• Violation of Linear Regression Conditions: Transform Variables
• Other Regression Techniques When Conditions of OLS Are Not Met
• Regression: Standardized Major Axis (SMA) Regression
• Polynomial and Non-linear regression
• Linear Mixed Effect Models
• Generalized Regression Model (GLM)
• Logistic Regression in R
• Poisson Regression in R
• Goodness of fit testing

• Introduction Multivariate Analysis
• Cluster Analysis/Unsupervised Learning
• Principal Component Analysis (PCA)
• Linear Discriminant Analysis (LDA)
• Correspondence Analysis
• Similarity & Dissimilarity Across Sites
• Non-metric multi-dimensional scaling (NMDS)
• Multivariate Analysis of Variance (MANOVA)

• All our courses can be Tailor-made to participants needs
• The participant must be conversant with English
• Presentations are well guided, practical exercise, web based tutorials and group work. Our facilitators are expert with more than 10years of experience.
• Upon completion of training the participant will be issued with Foscore development center certificate (FDC-K)
• Training will be done at Foscore development center (FDC-K) center in Nairobi Kenya. We also offer more than five participants training at requested location within Kenya, more than ten participant within east Africa and more than twenty participant all over the world.
• Course duration is flexible and the contents can be modified to fit any number of days.
• The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and a Certificate of successful completion of Training. Participants will be responsible for their own travel expenses and arrangements, airport transfers, visa application dinners, health/accident insurance and other personal expenses.
• Accommodation, pickup, freight booking and Visa processing arrangement, are done on request, at discounted prices.
• One year free Consultation and Coaching provided after the course.
• Register as a group of more than two and enjoy discount of (10% to 50%) plus free five hour adventure drive to the National game park.
• Payment should be done two week before commence of the training, to FOSCORE DEVELOPMENT CENTER account, so as to enable us prepare better for you.

Cost: 1000 USD

Duration: 5 Days

• Develop project results levels
• Design a project using logical framework
• Develop indicators and targets for each result level
• Track performance indicators over the life of the project
• Evaluation a project against the set results
• Develop and implement M&E systems
• Develop a comprehensive monitoring and evaluation plan
• Use data analysis software (Stata/SPSS/R)
• Collect data using mobile data collection tools
• Carryout impact evaluation
• Use GIS to analyze and share project data

• Fundamentals of Results Based Management
• Why is RBM important?
• Results based management vs traditional projects management
• RBM Lifecycle (seven phases)
• Areas of focus of RBM

• Definition of Monitoring and Evaluation
• Why Monitoring and Evaluation is important
• Key principles and concepts in M&E
• M&E in project lifecycle
• Participatory M&E

• Situation Analysis
• Needs Assessment
• Strategy Analysis

• Results chain approaches: Impact, outcomes, outputs and activities
• Results framework
• M&E causal pathway
• Principles of planning, monitoring and evaluating for results

• Indicators definition
• Indicator metrics
• Linking indicators to results
• Indicator matrix
• Tracking of indicators

• LFA - Analysis and Planning phase
• Design of logframe
• Risk rating in logframe
• Horizontal and vertical logic in logframe
• Using logframe to create schedules: Activity and Budget schedules
• Using logframe as a project management tool

• Overview of theory of change
• Developing theory of change
• Theory of Change vs Log Frame
• Case study: Theory of change

• What is an M&E System?
• Elements of M&E System
• Steps for developing Results based M&E System

• Importance of an M&E Plan
• Documenting M&E System in the M&E Plan
• Components of an M&E Plan-Monitoring, Evaluation, Data management, Reporting
• Using M&E Plan to implement M&E in a Project
• M&E plan vs Performance Management Plan (PMP)

• Importance of baseline studies
• Process of conducting baseline studies
• Baseline study vs evaluation

• Process and progress evaluations
• Evaluation research design
• Evaluation questions
• Evaluation report Dissemination

• Different sources of M&E data
• Qualitative data collection methods
• Quantitative data collection methods
• Participatory methods of data collection
• Data Quality Assessment

• Stakeholder's information needs
• Use of M&E results to improve and strengthen projects
• Use of M&E Lessons learnt and Best Practices
• Organization knowledge champions
• M&E reporting format
• M&E results communication strategies

• Importance of gender in M&E
• Integrating gender into program logic
• Setting gender sensitive indicators
• Collecting gender disaggregated data
• Analyzing M&E data from a gender perspective
• Appraisal of projects from a gender perspective

• Sources of M&E data -primary and secondary
• Sampling during data collection
• Qualitative data collection methods
• Quantitative data collection methods
• Participatory data collection methods
• Introduction to data triangulation

• What is data quality?
• Why data quality?
• Data quality standards
• Data flow and data quality
• Data Quality Assessments
• M&E system design for data quality

• Mobile based data collection using ODK
• Data visualization - info graphics and dashboards
• Use of ICT tools for Real-time monitoring and evaluation

• Principles of qualitative data analysis
• Data preparation for qualitative analysis
• Linking and integrating multiple data sets in different forms
• Thematic analysis for qualitative data
• Content analysis for qualitative data
• Manipulation and analysis of data using NVivo

• Introduction to statistical concepts
• Creating variables and data entry
• Data reconstruction
• Variables manipulation
• Descriptive statistics
• Understanding data weighting
• Inferential statistics: hypothesis testing, T-test, ANOVA, regression analysis

• Introduction to impact evaluation
• Attribution in impact evaluation
• Estimation of counterfactual
• Impact evaluation methods: Double difference, Propensity score matching

• Introduction to GIS in M&E
• GIS analysis and mapping techniques
• Data preparation for geospatial analysis
• Geospatial analysis using GIS software (QGIS)

Cost: 2000 USD

Duration: 10 Days

• Project management processes
• Project management knowledge areas
• Formulas, charts, and theories of project management
• Complex project network diagrams
• Formulas for earned value management
• Compare and contrast processes, knowledge areas, theories, and project management best practices
• Use of data analysis softwares(Spss,NVIVO,Stata,Excel,SAS)

• Project management principles
• Project management concepts and principles
• Issues in Development and development frameworks
• Types of communities
• Empowerment and Community development.
• Distribution of development resources
• Designing community projects
• Community involvement in initiating development projects
• Project Cycle management
• Project stakeholder analysis and need analysis
• Influence Mapping
• Implementation and Control
• Managing development stakeholders
• Monitoring and Evaluation Introduction
• Techniques of project monitoring auditing
• Evaluating project management systems and practices
• Designing monitoring indicators and systems
• Community involvement in Projects monitoring
• Coordinating with national bodies, project steering committees, and project staff
• Evaluating social and institutional change
• Measuring results and impacts
• Assessing economic, social and environmental impact
• Monitoring & Evaluation Indicators and Measurements
• Variables and indicators
• The LOGFRAME Approach
• Surveys and Sampling techniques
• Data characteristics and sources
• Appraisal and rapid appraisal techniques
• Conducting surveys and other social studies
• Monitoring & Evaluation Systems and Tools
• Standards in data management
• Organizational issues in managing information and data
• Monitoring and Evaluation Data Analysis and Interpretation
• Determining and presenting data outputs
• Consultative communications with stakeholders
• Developing the Project Performance Audit Report

• All our courses can be Tailor-made to participants needs
• The participant must be conversant with English
• Presentations are well guided, practical exercise, web based tutorials and group work. Our facilitators are expert with more than 10years of experience.
• Upon completion of training the participant will be issued with Foscore development center certificate (FDC-K)
• Training will be done at Foscore development center (FDC-K) center in Nairobi Kenya. We also offer more than five participants training at requested location within Kenya, more than ten participant within east Africa and more than twenty participant all over the world.
• Course duration is flexible and the contents can be modified to fit any number of days.
• The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and a Certificate of successful completion of Training. Participants will be responsible for their own travel expenses and arrangements, airport transfers, visa application dinners, health/accident insurance and other personal expenses.
• Accommodation, pickup, freight booking and Visa processing arrangement, are done on request, at discounted prices.
• One year free Consultation and Coaching provided after the course.
• Register as a group of more than two and enjoy discount of (10% to 50%) plus free five hour adventure drive to the National game park.
• Payment should be done two week before commence of the training, to FOSCORE DEVELOPMENT CENTER account, so as to enable us prepare better for you.

Cost: 2000 USD

Duration: 10 Days

• The CISA Course is focused on providing an improved understanding of IS Security Audit Processes and better awareness on how to protect Information Systems.

• Completing the CISA Certification ensures that the IT Professional has the necessary Knowledge and Experience for adequately Controlling, Monitoring and Assessing an Enterprise's IT and Business ;The CISA online course proves that the Professional can perform reviews while adhering to Global Standards, Practices and Guidelines.

• The CISA (Certified Information Security Auditor) helps IT Security and Audit Professionals to quantify and market their Experience.
• CISA course demonstrates the level of knowledge acquired and maintained to meet Dynamic Challenges and increases their value in the Organization resulting in higher earnings and Career Growth.
• Being CISA Certified not only gives individuals a competitive edge but also helps them to become part of the Elite Peer Network.

Cost: 2199 AED

Discount: 31% Off for Laimoon Users!

Duration: 28 To 40 Hours

This course is structured to empower you with advanced skills for efficient data management, analysis, and reporting, ensuring you gain the expertise needed to produce professional and insightful reports.

By the end of this course, you'll be capable of creating advanced reports, automating repetitive tasks, and integrating data from various sources to build comprehensive and professional data presentations.

Curriculum

Day 1: Data Massaging – Tools and Techniques

• Consolidating data from different files and sheets
• Advanced data validation: lists, dates, custom rules
• Cell management with functions: LEFT, RIGHT, MID, CONCATENATE, VALUE
• Naming, editing, and managing cells and ranges
• Subtotal, SUMIF, SUMIFS, SUMPRODUCT, COUNT, COUNTIF, COUNTIFS
• Looking up data using VLOOKUP
• Advanced table tools technique
• Slicing dates into day names, weeks, months, quarters, and years
• Text to columns and dynamic trimming with TRIM, LEN
• Managing texts and numbers using REPLACE, FIND, SUBSTITUTE
• Text change functions

Day 2: Reporting, Analysis, and Reconciliation Using Pivot Tables

• The 20 essential rules for pivot tables
• Creating pivot tables and formatting numbers
• Designing report layouts
• Sorting (ascending, descending, and custom)
• Filtering labels and values
• Expanding, collapsing reports, and summarizing data (sum, average, min, max, count)
• Showing values as percentages
• Pivot table options and drill-down features
• Showing report filter pages, inserting formulas, and date analysis
• Copying pivot tables and creating pivot charts
• Dynamic chart labeling and mastering slicers
• Linking pivot tables and graphs with PowerPoint
• Applying conditional formatting in pivot tables
• Designing reports using GetPivotData

Day 3: Modeling and Integration Techniques

• Performing 'what-if' analysis using spinners
• Checkbox data modeling with IF functions
• Option button modeling with IF functions
• List box modeling with CHOOSE functions
• Linking Excel with text files, Access, other Excel files, SQL, and the internet
• Scenario manager techniques

Day 4: Introduction to Macros – The Ultimate Tool in Excel

• Macro basics and planning a macro
• Designing control boards
• Recording, testing, and editing macros
• Macro workshops
• Advanced filtering with macros

Day 5: Excel Tips and Tricks

• Data entry forms
• Custom lists
• Using the camera tool
• Text-to-speech functions
• Protecting worksheets and workbooks

Description

The Advanced Reporting - Next Generation Excel Course is an intensive, hands-on program designed for individuals and professionals seeking to enhance their data reporting capabilities using advanced Excel features. The course offers a structured approach to mastering data massaging, pivot table techniques, data modeling, and automation using macros. Participants will also gain valuable insights into integrating Excel with other data sources, optimizing their workflow and reporting efficiency.

At the end of this course, you will be able to:

• Consolidate and manipulate data from multiple sources using advanced Excel techniques
• Implement advanced data validation and cell management functions
• Master pivot tables for dynamic reporting, analysis, and reconciliation
• Create dynamic charts and dashboards linked to pivot tables
• Automate tasks with macros, improving efficiency and accuracy
• Integrate Excel with external databases, text files, and other sources
• Use data modeling techniques for scenario analysis and decision-making
• Develop professional Excel reports for presentations in PowerPoint
• Protect workbooks and secure data with advanced security measures

Who Is This Course For?

• Financial Analysts and Data Analysts looking to enhance their reporting skills
• Project Managers and Office Managers needing to automate and optimize data processes
• Business Analysts seeking to develop dynamic reports and dashboards
• IT Professionals using Excel for database integration and management
• Business Owners aiming to improve their data analysis and presentation capabilities
• Students and Self-Learners eager to gain advanced Excel expertise

Requirements

• Basic to intermediate knowledge of Microsoft Excel
• No prior experience in macros is required
• Access to Microsoft Excel for practical sessions and exercises

Career Path

Completing this course can lead to advanced opportunities such as:

• Senior Financial Analyst
• Business Intelligence Specialist
• Operations Manager
• Data Reporting Analyst
• IT Project Coordinator
• Business Consultant

Proficiency in advanced Excel skills opens the door to high-level data analysis, reporting, and automation roles, enhancing your career prospects and contributing to organizational efficiency.

Cost: 3995 USD

Duration: 5 Days

• Functions in Excel mostly used in business
• analyzing large data
• Management dashboards
• Automate and Customize data entry forms
• Multiple Variable styles
• Custom Formulas/Functions
• Generate Reports
• Control of forms, Buttons and Drop-down menus
• Special Commands
• Using forms for data entry and report generation control.
• Course content

• Introduction
• Excel Formulas
• Conditional Statements & Logical Operators
• Statistical Functions
• lookup/Reference Functions
• Text Functions
• Date & Time Functions
• Formula-Based Formatting
• Array Formulas
• Functions
• Advanced IF Statements
• Advanced Lookup Functions
• Complex Logical and Text Functions
• Formula Auditing
• What-If Analysis Tools
• Worksheet and Workbook Protection
• Advanced Use of PivotTables and Power Pivot
• Automating with Macros
• Working with Form Controls
• Ensuring Data Integrity
• Managing & Enriching Data
• Data Analysis
• Presentation
• Custom Views In Excel
• Scenario
• Auditing And Troubleshooting Formulas
• Pivot Tables
• Pivot Charts
• Goal Seek And Solver and data tables
• Macros
• Basic Visual Bascis

• All our courses can be Tailor-made to participants needs
• The participant must be conversant with English
• Presentations are well guided, practical exercise, web based tutorials and group work. Our facilitators are expert with more than 10years of experience.
• Upon completion of training the participant will be issued with Foscore development center certificate (FDC-K)
• Training will be done at Foscore development center (FDC-K) center in Nairobi Kenya. We also offer more than five participants training at requested location within Kenya, more than ten participant within east Africa and more than twenty participant all over the world.
• Course duration is flexible and the contents can be modified to fit any number of days.
• The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and a Certificate of successful completion of Training. Participants will be responsible for their own travel expenses and arrangements, airport transfers, visa application dinners, health/accident insurance and other personal expenses.
• Accommodation, pickup, freight booking and Visa processing arrangement, are done on request, at discounted prices.
• One year free Consultation and Coaching provided after the course.
• Register as a group of more than two and enjoy discount of (10% to 50%) plus free five hour adventure drive to the National game park, in Nairobi.
• Payment should be done two week before commence of the training, to FOSCORE DEVELOPMENT CENTER account, so as to enable us prepare better for ;

• Course Fee: USD: 1000| EURO: 900 | POUND: 800

Cost: 1000 USD

Duration: Upto 1 Week

• Designing & building a form using ODK Build
• Uploading the form to aggregate & send to Android phone
• Setting up aggregate server
• Mobile data collection using ODK
• Submitting completed data to aggregate server
• Exporting data from ODK aggregate as CSV
• Importing ODK - CSV file into statistical applications
• Exporting GPS data for Mapping/Visualizing (fusion map)

• Introduction to mobile phone data collection
• Common mobile based data collection platforms
• Advantages of Mobile Applications
• Challenges
• Data aggregation, storage, and dissemination
• Understanding question types forming a questionnaire
  • Numbering (integer, decimal, string)
  • Text and notes
  • Multiple choice questions
  • Ranking questions
  • Extended data types geoid, image, videos etc

• Components of Open Data Kit (ODK)
  • ODK Form (Basic format of XLSForm)
  • ODK Collect Application Interface
  • ODK Aggregate
  • ODK Manage
• ODK platforms and formats
• Downloading and install ODK Collect into mobile devices or using APK file

• Creating ODK Collect Forms

• Downloading forms;
• Creating ODK Data CollectForm using Excel: Preparing your sheets
  • Survey sheet
  • Choices sheet
  • Settings sheet

• ODK build;

• Designing forms directly on:
  • ODK Build
  • Koboform builder
  • PurcForms

• Introduction to XLS forms syntax
• Creating XLS forms manually based on;

• Types of questions
• Question's caption or prompt
• Repetitive Questions
• Restrictions on the kinds of answers to can enter

• Constraints & Skips
• Validate Form

• Setting up own aggregate server using Google App Engine
• Configuring ODK Aggregate Server
• How to Create Own Server
• Uploading the form to aggregate server
• Submitting completed data to aggregate server
• Exporting data from ODK Aggregate as CSV
• Importing ODK - CSV file into statistical applications

• Downloading data directly from Aggregate
• Outputting data through;
  • Google Spreadsheet
  • Google Fusion Tables
• Exporting GPS Coordinates (Google maps) to Fusion Tables
• Exporting GPS data for Mapping/Visualizing (fusion map)
• Exporting data to Fusion Tables using QGIS
• Integrating Digital Data Collection into a Survey Plan

• Course Fee: USD: 1000 | EURO: 900 | POUND: 800

Cost: 1000 USD

Duration: Upto 1 Week

• How to boost your business using digital marketing - without breaking the bank
• Why every marketer must understand and apply AIDEA  - the new AIDA
• How to get started using the most effective digital marketing channel around
• Get best-in-class benchmarked tips on how to use social media for business
• Proven social media marketing techniques to acquire customers, retain customers and why AID+LIRA is the formula for success
• How to expand brand awareness using digital marketing and mobile marketing.

• Attend the Digital Marketing Masterclass and get 10 credits towards the "Accredited Digital Marketing Certificate" 
• Register now to get a chance to win an iPad

Cost: 499 USD

Duration: 2 Days

Cost: 3495 USD

Duration: 4 Days