Our data analytics training is designed to help participants learn to use the tools needed to transform data into actionable insights. We offer a training package that is robust, flexible and will provide you with the expert level skills you need to enhance your analytical skills. Our trainers are highly skilled and have extensive experience training individuals and organizations.
The data analytics training package covers;
Introduction to data analytics: A brief overview on conducting various basic statistical tests and multivariate analyses.
Use of SPSS: SPSS stands for Statistical Package for Social Sciences. It is used for editing and analyzing all sorts of survey data by market researchers, health researchers, survey companies, government entities, education researchers, marketing organizations, data miners.
Use of Stata: Stata is a software package that is used for data manipulation, visualization, statistics, and reproducible reporting. Its data management features ensures that datasets can be combined and reshaped, variables can be managed and statistics can be collected across groups or replicates.
Use of SAS: SAS is an integrated software suite used for advanced analytics, predictive analytics and data management. With SAS, there is a graphical interface, a programming language and a Base SAS. It can also be used to present create reports which can be saved in a wide variety of formats, including HTML, PDF, and RTF.
Use of Power BI: This is an analytics tool used to visualize data in form of dashboards and reports for embedding on an app or website when connected to several data sources.
Use of Tableau: With Tableau, relational databases, OLAP cubes, cloud databases and spreadsheets can be queried to generate numerous graph types. It also extracts and stores data from its in-memory data engine.
Use of Epi Info: Epi-Info is a suite of publicly accessible software tools designed for easy data entry form and database construction, and data analyses with epidemiologic statistics, maps, and graphs. It is used by public health practitioners and researchers.
Data Analysis using DHIS2 (Pivot table and Visualizer): DHIS2 stands for District Health Information Systems Version 2. It is an open source software platform used to analyze, manage and report data. It has easy to use analytics that can be visualized using pivot tables, charts, maps and dashboards.
Data Analysis using Excel: With the Analysis ToolPak, Excel can be used to develop complex statistical or engineering analyses. The tool uses the appropriate statistical macro functions to calculate and display the results and/or charts to output tables.
At the end of the training, you will be provided with a certificate, as well as the course materials.
Please note that you are expected to have basic statistical knowledge and are required to come along with your computer. For more information, contact us at +2349021720570 or email@example.com
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