Training

Workshop on Data Management and Data Analysis using STATA About the Course Course Content Course Outcome Certification About the Course Stata statistical data software is a complete, integrated statistical software package that provides for data analysis, data management, and graphics. This training is aimed at enhancing the participants’ knowledge and skills to manage and analyse data in a fast, accurate and easier manner by using Stata software and will know how to interpret and present the results. This will also enable participants to gain experience of the practical application of the statistical analytical techniques. OBJECTIVES OF THE WORKSHOP: To introduce Participants to Stata Software To build Competence in Data Management using Stata To train on Data Cleaning Techniques To teach Descriptive Statistical Analysis To develop Skills in Inferential Statistics To introduce Advanced Data Analysis Techniques To improve Data Visualization and Reporting To promote Reproducibility and Good Documentation Course Content WORKSHOP CONTENT: Introduction and getting started What is STATA STATA interface Understanding STATA commands Using STATA help Getting data into STATA Creating variables Entering data Importing data from an Excel file Changing variable properties Changing variable properties II – value labels and notes Importing data from SPSS Best practices working with STATA Creating and using a do-file Creating and using logs Exploring the data set and variables Exploring data using descriptive statistics Frequencies Interpreting and reporting frequencies Summary statistics Interpreting and reporting summary statistics Exploring relationships between variables Introduction to variable relationships Mean comparisons – Relationship between categorical and continuous variables Interpreting and reporting mean comparisons Cross tabulation – relationships between 2 categorical variables Interpreting and reporting cross tabulations Correlation – relationship between 2 continuous variables Interpreting and reporting correlations Charts Introduction to charts in STATA Univariate bar chart Pie chart Histogram Line chart Multivariate bar chart Scatter plot Combo charts Customizing charts Transforming variables and managing data Sorting data Recoding Computing variables Filtering using IF Disaggregating using by Merging data sets GLMs using Stata Linear Regression Multiple Regression Diagnostic tests Logistic Regression Ordinal Regression Panel Data Analysis using Stata Exploration of panel data Fixed effects model/LSDV Random effects model Choosing the appropriate model Course Outcome WORKSHOP OUTCOMES: At the end of the course, participants should be able to: How to create variables and enter data, data importing, and data preparation Best practices of using STATA such us using do-files, and logging Summarizing data using descriptive statistics Transforming variables and managing the data to suit your analyses Exploring relationships between different types of variables Choosing appropriate charts and developing them Performing Statistical modelling using Stata WHAT YOU REQUIRE: Trainees are expected to have laptop(s) while attending the workshop, and individuals attending should be from any discipline. Please feel free to bring your own datasets for practice while performing the tasks demonstrated by the trainer. If you have STATA already installed on your machine the better. However, it is not a must because you will be provided with a temporary version for the training. Certification Certification  Upon successful completion of this training, participants will be issued with a certificate. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression Trainings Workshop on Data Management and Data Analysis using STATA Workshop on Data Management and Statistical Analysis using SPSS

Workshop on Data Management and Statistical Analysis using SPSS About the Course Course Content Course Outcome Certification About the Course  Statistical Package for the Social Sciences (SPSS) is a comprehensive and user-friendly statistical analysis and data management software owned by IBM and makes statistical data analysis more fun and enjoyable. Good data management is like changing the oil in a car. SPSS can take data from almost any type of file and use them to create tabulated reports, charts, and plots of distributions and trends, descriptive statistics, and conduct more advanced statistical analyses.  WHY THIS SPSS WORKSHOP?  SPSS is a widely used statistical package for data analysis in social science. SPSS is a powerful tool of data analytics, reporting and modeling software. It is the choice for many people who need to analyze large amounts of qualitative and quantitative data and is used as standard by a wide range of users who need to quickly and accurately carry out statistical analysis of that data such as market researchers, health researchers, survey companies, government, education researchers, marketing organizations and data miners. ABOUT THE WORKSHOP  This workshop will equip to you the essentials of using SPSS. It takes you through a number of practical, hands on illustrative examples and exercises in a workshop environment. Led by highly experienced SPSS experts with many years of experience here at SOMALI DATA ANALYTICS CONSULTING. This means that our hands-on workshop will leave you with lots of practical SPSS experience as well as useful tips and tricks. Our workshop will show you how to make the most of SPSS software package. OBJECTIVES OF THE WORKSHOP: To introduce participants to the basic practice of statistics by using SPSS Statistics, a statistical software program used for data management and data analysis and learn how to perform basic statistical analyses. To introduce participants to the use of advanced SPSS for analyzing project data for reporting purposes focusing on database management tasks, descriptive statistics and graphics, and basic inferential statistics for comparisons and correlations and advanced models. Course Content WORKSHOP CONTENT: The training is organized in modules and each module covers a reasonable content to enable participants connect and progress successively in the next modules. Module 1: SPSS interface and features Module 2: Data storage types, measures & data management in SPSS Module 3: Creating & editing quantitative & categorical graphs/charts Module 4: Advanced data tabulation Module 5: Statistical Tests using SPSS Module 6: Statistical Associations in SPSS Module 7: Predictive Models using SPSS Course Outcome WORKSHOP OUTCOMES: At the end of the course, participants should be able to: To be able to perform a wide range of data management tasks in SPSS application Understand the basic workings of SPSS, and perform basic statistical analyses. To perform database management tasks, descriptive statistics and graphics, and basic inferential statistics for comparisons and correlations. To perform data checking and create simple tables and charts. To perform advanced analysis in SPSS WHAT YOU REQUIRE: Trainees are expected to have laptop(s) while attending the workshop, and individuals attending should be from any discipline. Please feel free to bring your own datasets for practice while performing the tasks demonstrated by the trainer. If you have SPSS already installed on your machine the better. However, it is not a must because you will be provided with a temporary version for the training. Certification Certification  Upon successful completion of this training, participants will be issued with a certificate. You will learn what cases and variables are and how you can compute measures of central tendency (mean, median and mode) and dispersion (standard deviation and variance). Next, we discuss how to assess relationships between variables, and we introduce the concepts correlation and regression Last Trainings Workshop on Data Management and Statistical Analysis using SPSS