Dear Colleagues,
Indepth Research Services welcomes you to attend our training courses on Data Science and Econometrics scheduled to take place in Nairobi, Kenya and Kigali, Rwanda. These training workshops help to provide the knowledge and skills necessary to analyze data efficiently and effectively and guarantee the success of any research.
Join us by registering for these scheduled training courses. These training courses will also give you an opportunity to meet and network with other Research, Data Science professionals’ from NGOs, public and private organizations’ from across the world.
Research Design, Data Management, Analysis & Use (10 Days)
New developments in data science offer a tremendous opportunity to improve decision-making. In the development world, there has been an increase in the number of data gathering initiative such as baseline surveys, Socio-Economic Surveys, Demographic and Health Surveys, Nutrition Surveys, Food Security Surveys, Program Evaluation Surveys, Employees, customers and vendor satisfaction surveys, and opinion polls among others, all intended to provide data for decision making.
17th to 28th June 2019 Nairobi, Kenya
17th June to 5th July 2019 Kigali, Kenya
16th to 27th September 2019 Nairobi, Kenya
16th to 27th September 2019 Kigali, Rwanda
Data Management, Analysis, and Graphics Using STATA (5 Days)
Stata is a complete statistical software package for data management, data analysis and graphics. It comprises classical and advanced functions including: panel data analysis, forecasting, time series analysis, survival analysis, cross sectional and longitudinal survey methods, structural equation modelling, simulation methods and tables for almost all researchers and analysts. The software can be used via a graphical user interface (menus and dialog boxes) or a command-line interface using its very intuitive programming language. Stata benefits from a very active user community giving support on a dedicated mailing list (Statalist) and developing new packages to extend the software capabilities
24th to 28th June 2019 Nairobi, Kenya
24th to 28th June 2019 Kigali, Rwanda
23rd to 27th September 2019 Nairobi, Kenya
23rd to 27th September 2019 Nairobi, Kenya
16th to 20th December 2019 Mombasa, Kenya
Data Management, Analysis and Graphics with R Course (5 Days)
The open-source software package R is a robust, powerful, and versatile data analysis and visualization tool. This course will help participants master the R open source language, including factors, lists and data frames. With the knowledge gained in this course, participants will be ready to undertake tasks related to data analysis. This course focuses upon understanding statistical models and analysing the results whilst learning to work with R. Participants will be acquainted with various popular R packages, ability to write functions and can use attractive plots to present their data.
22th to 26th July 2019 Nairobi Kenya
17th to 21st June 2019 Kigali, Rwanda
21st to 25th October 2019 Nairobi, Kenya
16th to 20th September 2019 Kigali, Rwanda
Processing and Analysis of Data for Surveys/Assessment (Methodology and Software) (10 Days)
New developments in data science offer a tremendous opportunity to improve decision-making. In the development world, there has been an increase in the number of data gathering initiative such as baseline surveys, Socio-Economic Surveys, Demographic and Health Surveys, Nutrition Surveys, Food Security Surveys, Program Evaluation Surveys, Employees, customers and vendor satisfaction surveys, and opinion polls among others, all intended to provide data for decision making.
17th to 28th June 2019 Nairobi, Kenya
19th to 30th August 2019 Kigali, Rwanda
16th to 27th September 2019 Nairobi, Kenya
Qualitative Data Management and Analysis with Nvivo Software (5 Days)
Many researchers these days collect their data through a mixture of quantitative and qualitative (open ended) responses. If you are planning to conduct interviews or focus groups for your data collection, or perhaps do participant observation during key events or meetings or you will be collecting policy papers, press articles, or Internet data from online survey tools like Survey Monkey, Fluid Surveys and Survey Wizard, blogs, Facebook or Twitter, soon or later you will be faced with piles of data and field notes you collected for analysis. Will you know how?
17th to 21st June 2019 Nairobi, Kenya
16th to 20th September 2019 Nairobi, Kenya
19th to 23rd August 2019 Kigali, Rwanda
18th to 22nd November 2019 Kigali, Rwanda
Advanced Excel and Statistical Data Analysis using Excel (5 Days)
Excel has powerful tools that enable busy users to set up systems that simplify data analysis and interpretation. Effectively using Excel allows users to devote their time more profitably to making decisions about and acting on results, with more effective outcomes.
19th to 23rd August 2019 Nairobi, Kenya
19th to 23rd August 2019 Kigali, Rwanda
Scientific Writing and Scholarly Publishing Course (2 Days)
A critical aspect of the scientific process is the reporting of new results in scientific journals to disseminate that information to the larger community of scientists. Communication of your results contributes to the pool of knowledge within your discipline and very often provides information that helps others interpret their own experimental results. Most journals accept papers for publication only after peer review by a small group of scientists who work in the same field and who recommend the paper be published (usually with some revision)
17th to 18th June 2019 Nairobi, Kenya
16th to 17th September 2019 Nairobi, Kenya
19th to 20th August 2019 Kigali, Rwanda
International Training in Research design, Data Collection, processing and Analysis (10 Days)
New developments in data science offer a tremendous opportunity to improve decision-making. In the development world, there has been an increase in the number of data gathering initiative such as baseline surveys, Socio-Economic Surveys, Demographic and Health Surveys, Nutrition Surveys, Food Security Surveys, Program Evaluation Surveys, Employees, customers and vendor satisfaction surveys, and opinion polls among others, all intended to provide data for decision making.
17th to 28th June 2019 Kigali, Rwanda
19th to 30th August 2019 Nairobi, Kenya
16th to 27th September 2019 Kigali, Rwanda
Epidemiology and Bio-statistics with Stata (10 Days)
This course is intended for medical researchers who would like to enhance their skills on epidemiological data analysis being familiarized with Stata. The participants will have their hands on laptop with Stata running throughout the learning sessions. Each learning session will give equal weight to tutorials and practical exercises.
19th to 30th August 2019 Nairobi, Kenya
19th to 30th August 2019 Kigali, Rwanda
Analysis of Complex Sample survey Data using Stata Course (10 Days)
This course provides an introduction to specialized software procedures that have been developed for the analysis of complex sample survey data including testing for between-group differences in means and proportions, regression analysis, logistic regression and multilevel modeling. We will also consider the consequences of non-response and missing data on survey analysis and methods for dealing with missing data. Specialized procedures for survey data analysis from the Stata systems for data management and analysis will be used to develop course examples and exercises.
22nd July to 2nd August 2019 Mombasa, Kenya
22nd July to 2nd August 2019 Kigali, Rwanda
EViews — Ad vanced Time Series Econometrics (3 Days)
This course tackles modelling techniques for time-series data when unit roots exist in the data. An outline of the technical characteristics of time-series data and the concept of stationarity is provide. We will study econometric models, Vector autoregressive (VAR) models, and methods that are useful to conduct substantive empirical research in macroeconomics.
24th to 26th June 2019 Nairobi, Kenya
24th to 26th June 2019 Kigali, Rwanda
View our Research, Data Science and Econometrics Catalogue
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Do you have a large team or department you would like to upskill?
Our learning advisory team will assist in tailor-making your learning pathway and monitor the progress of the team as well as provide you with regular feedback. Learn more
If you are also interested in learning this course for free, why don’t you find out more about our [new referral program]
For any enquiries, feel free to engage us at [email protected] or contact us on (+254) 715 077 817 or +250 789 621 067
Best Regards