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Events in Nairobi


on various days
Training on Agriculture Value Chain Management and Market Linkages

About the course Value chains encompass the full range of activities and services required to bring a product or service from its conception to sale in its final markets—whether local, national, regional, or global. Value chains include input suppliers, producers, processors, and buyers, as well as the support services and enabling environments that form a dynamic market system. This course is aimed at equipping the participants with principles and practices of the value chain management. The participants will understand the designing and managing, monitoring and evaluating value chain projects and creating market linkages. Target Participants This course targets participants working in agriculture research, value chain and market development projects managers, government institutions, NGO staff, and agribusinesses. Course duration 5 Days What you will learn By the end of this training the participants will be able to understand about: The market systems Value chain cycle Value chain financing Designing and implementing value chain project M&E of Value Chain Project Risk management in value chain Course Outline Introduction to Agriculture Value Chain Overview of value chain approach Features of value chain approach Market Systems Framework End Markets Business Enabling Environment Vertical Linkages Horizontal Linkages Supporting Markets Value Chain Financing Introduction to Value Chain Financing Demand for Finance within Value Chains Constraints in Value Chain Financing Type of Value Chain Finance Implications in Design and Implementation Agricluture Value Chain Cycle Overview of the Project Lifecycle Value Chain Selection Value Chain Analysis Design and Implementation Monitoring and Evaluation Key principles of the Project Lifecycle Agriculture Value Chain Analysis Introduction to value chain analysis Tools and techniques in value chain analysis Mapping a value chain Value chain analysis process Case study: Value chain analysis Agriculture Value Chain Project Design Market Research Situational Analysis Formulation of the project goal statement Project causal pathway design Development of a logical framework Monitoring and Evaluation of VC Development Projects Selection of Key Indicators Development of Performance Measurement Framework Evaluation of VC Projects Impact Assessment of VC Projects Gender Mainstreaming in Agriculture Value Chain Gender Analysis in Value Chains Integrating Gender Issues into Agricultural Value Chain Process Constraints in Gender Integration in Value Chains Training Approach 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. Certification Upon successful completion of this course, participants will be issued with a certificate. Tailor-Made Course We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more: [email protected]

Venue:
Devimpact Institute Training Centre
Muthithi Road Nairobi

When:
Sun, 31 May 2020 8.00am -
Thu, 1 Jan 1970 1.00am


on various days
Training on Project Financial Management for Non-Financial Professionals

About the course In any organization the finance function plays a key role in developing business and determining service or product costs. Proper financial management assists the organization to effectively and efficiently utilize its limited resources to achieve its objectives. Non-financial managers are also involved in managing finance for their business functions, hence the need for them to acquire the requisite financial skills. This course aims to equip the non-financial managers with knowledge in core financial principles and improve their financial decision making in this ever changing business environment. This course will help managers understand how the decisions they make will affect the financial performance of their organization. Target Participant This training is designed for managers who are not from the financial or accounting background but whose role involves financial decision making. This course is ideal for managers who want to acquire skills in financial processes. Course duration 5 Days What you will learn By the end of the course you will be able to: Understand the sources and availability of finance for an organization Understand relevant financial information within the organization Plan, develop, implement and control budget Analyze financial statements to understand performance Implement cash management practices Comprehend the impact of various business decisions on the organization’s performance. Course Outline Introduction to Financial Management in NGOs What is financial management? Importance of financial management in projects The finance function and its relation with other business functions Project financial management cycle Good practice systems: the building blocks of financial management Key supporting policies and standards Project Financial Planning and Project Budgeting The Financial planning process Functions and types of budgets in projects Practical approaches to building good project budgets Donor budget regulations/requirements Budget change/modifications Cash Flow Management Cash flow forecasting Consolidated budgets and budgeting for core costs Elements of cash flow Cash Vs Profit Managing cash Bank Accounts management Project payments supporting documents Cost Management Use of cost data in decision making Types of Costs Elements of Cost Cost Structures and Methods – Costing services and products Procurement Project cost allocations Admin cost allocations Financial Reporting in Projects Importance of Financial Reporting Principles and Objectives of Financial Accounting Types of Accounts Financial Statements; Income Statement, Balance Sheet, Cash Flow Statement Measuring Finance Performance Introduction to financial Analysis Steps in financial analysis Sources of data for financial analysis Financial ratios Budget monitoring Cash flow monitoring Earned Value Management Introduction to Earned Value Analysis Earned Value Calculations Application of EVM analysis in project performance monitoring Value for Money in Projects Internal Control Systems Organization financial management policies Role of audit Financial fraud Financial spending cross approvals Risk Management in Project Financial Management Due diligence in grants management Training Approach 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. Certification Upon successful completion of this course, participants will be issued with a certificate. Tailor-Made Course We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more: [email protected]

Venue:
Devimpact Institute Training Centre
Muthithi Road Nairobi

When:
Mon, 1 Jun 2020 8.00am -
Mon, 1 Jun 2020 4.30pm


Training on Epidemiological Data Analysis Using Stata

About the course Epidemiologists have relied on Stata for over 30 years because of its specialized epidemiologic commands, accuracy, and ease of use. Whether you are researching infectious diseases, investigating exposure to pathogens, or studying chronic diseases, Stata provides the data management and statistical tools to support your research. It also gives you the ability to make publication-quality graphics so you can clearly display your findings. Target Participants The course is suitable for potential epidemiologists and biostatisticians and current researchers including clinicians, laboratory and social scientists. Participants should have knowledge of Basic Statistics and be familiar with the Statistical package Stata. Course duration 5 days Course Outline Principles of Epidemiology Epidemiology: concepts and terminology Population and Samples Measuring disease :Incidence and prevalence Study Design o Intervention studies o Cohort studies o Case control studies o Observational studies Measuring the risk factor Exercises Basic analytical procedures Review of Stata software Basic concepts about data type and analysis Introduction to basic Statistical models used in epidemiology o Chi-square, o t-test, o Mann-Whitney o ANOVA, ANCOVA, o simple and multiple linear regressions, o logistic regression. Exercises Sample size determination Sample size calculation, Sampling weight Statistical power Constructing valid comparison groups Exercises Epidemiological tables 2 × 2 and 2 × 2 stratified table for longitudinal, cohort study, case–control, and matched case–control data Odds ratio, incidence ratio, risk ratio, risk difference, and attributable fraction Chi-squared, Fishers’s exact, and Mantel–Haenszel tests Survival Analysis Analysis of duration outcomes Estimating the probability of survival Modeling survival as a function of covariates using Cox, Weibull, lognormal, and other regression models. Predict hazard ratios Exercises Cohort Design Standard cohort analysis Sample weighting Adjustment of variance Parametric models: poisson regression, Flexible Parametric survival Models (FPM) Exercises Case Control Studies Basic design concepts Selection of Cases Selection of Control Matching Odds ratio for case control Case cohort studies Exercises Note: This course outline is for guidance purposes and will be customized according to the participant’s requirements. Training Approach 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. Certification Upon successful completion of this course, participants will be issued with a certificate. Tailor-Made Course We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more:[email protected]

Venue:
Devimpact Institute Training Centre
Muthithi Road Nairobi

When:
Mon, 1 Jun 2020 8.00am -
Mon, 1 Jun 2020 4.30pm


Training on Electronic Records Management

About the Course Good management of records is fundamental to a well-functioning organization since it supports business activity and provides a basis for efficient service delivery. Electronic Records Management involves the maintenance of the content, context, structure and links between records to enable their accessibility and support their business value. This course aims at enhancing the knowledge and practical skills of participants necessary to apply electronic management approaches to perform their records management duties efficiently and effectively. What you will learn By the end of the course, participants will be able to: Understand the concepts of Electronic Records Management (ERM) and how it supports organization’s business processes Understand the lifecycle of records with focus on electronic records Implement and manage ERM system Implement electronic recordkeeping Apply the best practices in electronic records management Assess the records management needs of their organization Develop disaster risk management plan for ERM Develop organization electronic record management policy Course Duration 5 days Course Outline Records Management Fundamentals Basic definitions Introduction to records Content context and structure of record Introduction to record management Records Lifecycle Creation Distribution and Use Disposition Archiving Introduction to Electronic Records Management(ERM) Types of Electronic records Introduction to Electronic Records Management Elements of a good record management system Implementation issues of ERM Best practices in Electronic Record Management Electronic Recordkeeping Electronic recordkeeping vs Electronic record management Objectives of electronic recordkeeping Integration of ERK system with other IT systems Critical success factors for implementation of ERK system Elements of Effective Records Management System Records Inventory & Classification Retention scheduling Records Storage & Conversion Vital Records Program Disaster Prevention & Recovery Planning Disposition Classification and Indexing of Records Designing a records classification System Types of classification schemes Attributes of a good filing system Metadata in ERM Importance of metadata Uses and sources Methods for collecting and applying metadata Evaluating organization’s need for ERM system ERM needs assessment Data collection from different users Data analysis and use in ERM planning Planning for Electronic Record Management System Records Management integration to organization information management strategy Planning for cultural change associated with ERM Determining end users roles in ERM system Planning for resources in ERM implementation Implementing ERM System Components of an ERM system Solution options for information and records management Designing an ERM system Steps to implement an effective ERM Program Developing information governance strategy Integrating people, processes and technologies ERM system implementation standards Model Requirements for the Management of Electronic Records (MoReq) AIIM Standards Committee on Integrating Records Management and Document Management Requirements Reports by Doculabs on ERM, EDM, and ECM systems International Standard ISO 15489-1 Disaster Risk Management in ERM Types of disasters, hazards and risks in ERM Disaster Risk Planning Development of policy, procedures for disaster risk management Records protection method Monitoring and Auditing of Electronic Records Management System Conducting regular reviews of records management policy, plan, system and guidelines Monitoring compliance to records management guidelines Change management in organization records management policy Electronic Records Management Policy Objectives of records management policy Record management responsibilities Key provisions of record management policy Training Approach 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. Certification Upon successful completion of this course, participants will be issued with a certificate. Tailor-Made Course We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more: [email protected]

Venue:
Devimpact Institute Training Centre
Muthithi Road Nairobi

When:
Mon, 1 Jun 2020 8.00am -
Mon, 1 Jun 2020 4.30pm


Training on Data Management and Analysis for Qualitative Data using NVIVO

About the Course Managing and analyzing qualitative data can be a trying experience. Qualitative data is multifaceted, rich in nature, unstructured and at times can be overwhelming where the researcher will be provided with information beyond the scope of the study. Combining a qualitative research data management and data analysis with technology is frown by some qualitative researchers. Qualitative researchers now have the option to apply technology tools in their approach for data management and data analysis to ease the complexity of the research process. This course aims to build the capacity of qualitative researchers in qualitative data management and analysis using NVIVO qualitative software. This software has many features that can assist to simplify the whole process of doing qualitative research. Target Participants This course is aimed at qualitative researchers who want to “technologize” their approach in qualitative data management and analysis. Course duration 5 Days What you will learn By the end of the course the learner should be able to: Understand qualitative analysis approaches Understand different qualitative data collection methods Set up a project in NVIVO Create a framework for qualitative data analysis using NVIVO Carry out qualitative data analysis using NVIVO Write a qualitative report Course Outline Introduction to Qualitative Research What is qualitative research? Dimensions of qualitative methods Qualitative research approaches Qualitative data collection methods Qualitative research study design Preliminaries of Qualitative data Analysis What is qualitative data analysis Approaches in Qualitative data analysis; deductive and inductive approach Points of focus in analysis of text data Principles of Qualitative data analysis Process of Qualitative data analysis Introduction to NVIVO NVIVO Key terms NVIVO interface NVIVO workspace Use of NVIVO ribbons NVIVO Projects Creating new projects Merging, importing and exporting projects Managing projects Working with different data sources Nodes in NVIVO Theme codes Case nodes Relationships nodes Node matrices Classifications Source classifications Case classifications Node classifications Coding Data-driven vs theory-driven coding Analytic coding Descriptive coding Thematic coding Tree coding Thematic Analysis using NVIVO Organize, store and retrieve data Cluster sources based on the words they contain Text searches and word counts through word frequency queries. Examine themes and structure in your content Memos Annotations and Links Linked memos Adding annotation to selected content See also link Queries using NVIVO Queries for textual analysis Queries for exploring coding Building on the Analysis Content Analysis; Descriptive, interpretative Narrative Analysis Discourse Analysis Grounded Theory Qualitative Analysis Results Interpretation Comparing analysis results with research questions Summarizing finding under major categories Drawing conclusions and lessons learned Visualizing NVIVO project Display data in charts Creating models and graphs to visualize connections Tree maps and cluster analysis diagrams Triangulation of Data Sources Triangulating with quantitative data Using different participatory techniques to measure the same indicator Comparing analysis from different data sources Checking the consistency on respondent on similar topic Qualitative Report Writing Qualitative report format Reporting qualitative research Reporting content Interpretation Training Approach 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. Certification Upon successful completion of this course, participants will be issued with a certificate. Tailor-Made Course We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more: [email protected]

Venue:
Devimpact Institute Training Centre
Muthithi Road Nairobi

When:
Mon, 1 Jun 2020 8.00am -
Mon, 1 Jun 2020 4.30pm


Training on Monitoring and Evaluation for Health Programs

About the course Monitoring and Evaluation helps in collecting, analyzing and transforming health data into strategic information for informed decision making, improved effectiveness and enhanced advocacy in health programs. M&E will help to ensure that health programs are implemented as planned and to assess whether desired results are being achieved. This course aims to build the capacity of M&E professionals working in the health sector. The acquired M&E skills will assist the participants to improve health program planning and performance management and enhance the institutionalization of the collection of health-related data and the analysis of program impact. The main topics covered include the development of monitoring and evaluation for key health sector program areas; HIV and AIDS, STDs, TB, maternal health, family planning, child health and reproductive health. Target Participants This course is designed for researchers, project staff, development practitioners, managers and decision makers who are responsible for project, program or organization-level M&E in the Health sector. Course duration 5 Days What you will learn By the end of this course the learners should be able to: Understand monitoring and evaluation (M&E) of health programs Design a health project using logical framework Develop indicators and targets for each result level Track performance indicators over the life of the project Evaluation a health project against planned outcomes Develop and implement an M&E system Develop a comprehensive monitoring and evaluation plan Course Outline Introduction to Strategic Information in Health Programs Need for reliable information in health programs Components of strategic information Uses of strategic information Strategic information and program life cycle Decision making using strategic information M&E System Strengthening for Health Programs Why M&E System strengthening in health? Use of M&E System strengthening tool Content of M&E System strengthening tool Introduction to M&E Definition of Monitoring and Evaluation Why Monitoring and Evaluation is important Key principles and concepts in M&E M&E in project lifecycle Complementary roles of Monitoring and Evaluation M&E Frameworks Conceptual Frameworks Results Frameworks Logical Framework Analysis (LFA) LogFrame - Design of projects using LogFrame M&E Health Indicators Indicators selection Indicator metrics Linking indicators to results Indicator matrix Tracking of indicators M&E Plans in Health Programs Importance of an M&E Plan Documenting M&E System in the M&E Plan Components of M&E Plan-Monitoring and Evaluation components Using M&E Plan to implement M&E in a Project Gender Perspective in M&E for Health Programs 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 Issues with integrating gender into M&E Health Programs Evaluation Determining evaluation points from results framework Components of evaluations: implementation and process evaluations. Evaluation designs- experimental, quasi-experimental and non-experimental Performance evaluation process Evaluation findings sharing and dissemination Impact Evaluation in Health Programs Why impact evaluation is important Project attribution Counterfactual in IE IE Methods; Difference in Difference & Propensity score matching M&E Results Use and Dissemination Data demand and use in health programs Use of M&E Lessons learnt and Best Practices Organization knowledge champions M&E reporting format M&E results communication strategies Training Approach 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. Certification Upon successful completion of this course, participants will be issued with a certificate. Tailor-Made Course We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more: [email protected]

Venue:
Devimpact Institute Training Centre
Muthithi Road Nairobi

When:
Mon, 1 Jun 2020 8.00am -
Mon, 1 Jun 2020 4.30pm


Training on Research Design, Data Management and Statistical Analysis using SPSS

About the course In the socio-economic and business context, conducting research, data management and data analysis are imperative for informed decision making. The availability of several datasets and research techniques open the gateway of conducting systematic research which will be helpful for consumers, businesses and organizations. A sound knowledge about the methodology of conducting research and use of SPSS as a research, data management and analysis tool is very beneficial for the researchers. Upon completion, the participants will develop competence in quantitative techniques through hands-on practices in study design, data collection, and management, as well as the analysis and interpretation of data. Target Participants The training is designed for participants who intend to learn how to plan, implement effective research studies including data management analysis. Those who are working in the private sector, government institutions, research institutions and NGOs. Course duration 10 days What you will learn: By the end of this training the participants will learn to: Understand and appropriately use statistical terms and concepts Design and Implement universally acceptable research Develop of functional research protocol Design both quantitative and qualitative data collection tools Perform data analysis tasks with SPSS Perform simple to complex data management tasks using software Statistical tests using SPSS software Writing reports from survey data Course outline Introduction to research Introduction to research Different types of research Formulation of research problem statement Formulation of research hypothesis Overview of Evaluation Evaluation Objectives Evaluation Criteria Evaluation Questions Research Design Quantitative Research Approaches Qualitative Research Approaches Sampling Sampling Techniques o Probability o Non-probability Sample size determination Data Collection Methods in Research Quantitative data collection methods Qualitative data collection Creating an evaluation framework Data Collection tools in Research Survey Questionnaire design FGD guide design KII guide design Developing Research Protocol What is a research protocol? Basic concepts of a research protocol Structure of a research protocol Mobile Data Collection and Processing (ODK) Introduction to mobile data gathering Design of survey forms using ODK build and XLSForm Use ODK collect to gather data Use ODK aggregate to upload data to the server Work with spatial data (GPS coordinates) Introduction to SPSS statistical software SPSS interface and features Key terminologies used in SPSS Views: Variable, Data views, Syntax editor Data file preparation Data entry into SPSS Data manipulation: merge files, spit files, sorting files, missing values Basic Statistics using SPSS Descriptive statistics for numeric variables Frequency tables Distribution and relationship of variables Cross tabulations of categorical variables Stub and Banner Tables Graphics using SPSS Introduction to graphs in SPSS Graph commands in SPSS Different types of Graphs in SPSS Statistical Tests using SPSS One Sample T Test Independent Samples T Test Paired Samples T Test One-Way ANOVA Statistical Associations in SPSS Chi-Square test Pearson's Correlation Spearman's Rank-Order Correlation Predictive Models using SPSS Linear Regression Multiple Regression Logistic Regression Ordinal Regression Longitudinal Analysis using SPSS Features of Longitudinal Data Exploring Longitudinal data Longitudinal analysis for continuous outcomes Qualitative Data Analysis using NVivo Introduction to NVivo NVivo workspace Uploading qualitative data into NVivo Coding and making nodes Use of queries Project visualization Survey Report writing and Dissemination Survey report format Survey report content Survey findings dissemination Use of survey findings for decision making Training Approach 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. Certification Upon successful completion of this course, participants will be issued with a certificate. Tailor-Made Course We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more: [email protected]

Venue:
Devimpact Institute Training Centre
Muthithi Road Nairobi

When:
Mon, 1 Jun 2020 8.00am -
Mon, 1 Jun 2020 4.30pm


Training on Data Management and Statistical Analysis using SPSS

About the course Statistical Package for Social Sciences (SPSS) is one of the most user friendly statistical software for researchers providing visualization and data analytical tools. This course provides the participants with a practical application of the statistical component of IBM® SPSS® Statistics. Participants will review several statistical techniques, gain an understanding of when and why to use these various techniques as well as how to apply them with confidence, interpret their output, and graphically display the results. Target Participants The training is designed for participants who intend to learn the use of SPSS for data management and data analysis. Those working in the corporate world, public sector, research institution and NGOs. Course duration 5 Days What you will learn Understand and appropriately use statistical terms and concepts Perform data analysis tasks with SPSS Perform simple to complex data management tasks using SPSS Statistical tests using SPSS Course Outline Introduction to Statistical Analysis Explain the basic steps of the research process Explain differences between populations and samples Explain differences between experimental and non-experimental research designs Explain differences between independent and dependent variables Introduction to SPSS statistical software SPSS interface and features Key terminologies used in SPSS Views: Variable, Data views, Syntax editor Data file preparation Data entry into SPSS Data manipulation: merge files, spit files, sorting files, missing values Basic Statistics using SPSS Descriptive statistics for numeric variables Frequency tables Distribution and relationship of variables Cross tabulations of categorical variables Stub and Banner Tables Graphics using SPSS Introduction to graphs in SPSS Graph commands in SPSS Different types of Graphs in SPSS Statistical Tests using SPSS One Sample T Test Independent Samples T Test Paired Samples T Test One-Way ANOVA Statistical Associations in SPSS Chi-Square test Pearson's Correlation Spearman's Rank-Order Correlation Bivariate Plots and Correlations for Scale Variables Predictive Models using SPSS Linear Regression Multiple Regression Logistic Regression Ordinal Regression Nonparametric Tests Describe when non-parametric tests should and can be used Describe the options in the Nonparametric Tests procedure dialog box and tabs Interpret the results of several types of nonparametric tests Longitudinal Analysis using SPSS Features of Longitudinal Data Exploring Longitudinal data Longitudinal analysis for continuous outcomes Time Series and Forecasting using SPSS The basics of forecasting Smoothing time series data Regression with time series data ARIMA models Intervention analysis SPSS Decision Trees Introduction to SPSS Decision Trees Application of SPSS Decision Trees Overview of decision tree based methods (CRT Decision Trees CRT Regression Trees Quest Analysis) Training Approach 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. Certification Upon successful completion of this course, participants will be issued with a certificate. Tailor-Made Course We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more: [email protected]

Venue:
Devimpact Institute Training Centre
Muthithi Road Nairobi

When:
Mon, 1 Jun 2020 8.00am -
Mon, 1 Jun 2020 4.30pm


Training on Data Management and Analysis using Excel

About the course Most people use Excel for basic data manipulation and analysis and are not aware of its sophisticated data management and charting techniques and advanced data analysis capability. This course will build the participant’s current Excel skills on the use of Excel’s powerful tools for data management and statistical analysis. Target Participants This course is aimed at professionals in different areas of practice who are looking at improving their data management and analysis skills using Excel. Course duration 5 days What you will learn By the end of this course the participants will be able to: Analyze relationships across information and data using MS Excel Generate data forecasts using MS Excel Organize data in a more structured manner Analyze data effectively using various MS Excel techniques Apply most appropriate charting technique data Course Outline Introduction to Excel Environment Cell referencing, cell formatting and entering formula Variables in Excel Introduction to Excel Tables Filtering data Sorting data Use of conditional formatting Data Cleaning and manipulation using Excel Importing data into Workbook Move, copy, resize and delete columns and/or rows and/or sheets Format cell contents Clear formatting and cell contents Find and Replace data Cleaning Data with Text Functions Using PivotTables Running the PivotTable Wizard Pivot Table Field Options Pivot Table Design and Options Building PivotTable Formulas Pivot Charts Using Charts in Excel Selecting a Chart Type Working with Chart Styles Changing Chart Layout Changing a Chart’s Location Formatting 3-D Charts Excel Statistic Functions Counting Items in a Data Set Average and Average IF Means, Modes, and Medians Min Max Finding Values, Ranks, and Percentiles Standard Deviations and Variances Normal Distributions Descriptive Statistics using Excel Using the Excel Analysis tool pack Creating a Histogram Ranking by Percentile Calculating Moving Averages Exponential Smoothing Inferential Statistics using Excel Using the t-test Data Analysis Tool Performing z-test Calculations Using the Correlation Analysis Tool Using the Regression Data Analysis Tool Using the Covariance Analysis Tool Using the ANOVA Data Analysis Tools Training Approach 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. Certification Upon successful completion of this course, participants will be issued with a certificate. Tailor-Made Course We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more: [email protected]

Venue:
Devimpact Institute Training Centre
Muthithi Road Nairobi

When:
Mon, 1 Jun 2020 8.00am -
Mon, 1 Jun 2020 4.30pm


Training on Advanced Statistical Analysis using SPSS

About the course In the socioeconomic and business context, conducting research, data management and data analysis are imperative for informed decision making. The availability of several datasets and research techniques open the gateway of conducting systematic research which will be helpful for consumers, businesses and organizations. A sound knowledge about the use of SPSS as a data management and analysis tool is very beneficial for the researchers. This course introduces you to a range of advanced statistical modelling techniques within SPSS Statistics and covers how and when they should be used. Target Participants Anyone who has worked with IBM SPSS Statistics for Windows and wants to become better versed in the more advanced statistical capabilities of SPSS Statistics. Anyone who has a solid understanding of statistics and wants to expand their knowledge of appropriate statistical procedures and how to set them up using SPSS Statistics. Course duration 5 Days What you will learn A broad range of advanced statistical models Issues best addressed by certain statistical techniques Data considerations for choice of optimal techniques Evidence based modeling and reporting Course Outline Multiple Regression Analysis Discriminate analaysis Logistic regression (Binary & Multinomial) Survival Analysis (Kaplan-Meier) Cluster Analysis Factor analysis Loglinear Analysis Exploring relationships between variables MANOVA: multivariate analysis of variance Repeated Measures ANOVA Training Approach 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. Certification Upon successful completion of this course, participants will be issued with a certificate. Tailor-Made Course We can also do this as tailor-made course to meet organization-wide needs. Contact us to find out more: [email protected]

Venue:
Devimpact Institute Training Centre
Muthithi Road Nairobi

When:
Mon, 1 Jun 2020 8.00am -
Mon, 1 Jun 2020 4.30pm

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