Venue: Strathmore University
Duration: 4 days (2nd – 5th December 2019)
Time: 9:00 am to 4:00 pm
About the course:
This course provides the introduction to applied statistics and SPSS for analyzing quantitative data. Participants who have an interest in learning and picking up quantitative data analysis methods and concepts will find this course useful and applicable. Practical data analysis sessions will be based on publicly available data from the Kenya National Bureau of Statistics.
Why the Course?
Evidence-based programs within National and County government circles, Non-profit making organizations, corporate organizations requires concrete knowledge in data analysis and results from interpretation. It is therefore imperative that technocrats, programmers and policymakers are adequately equipped with relevant data analysis skills. This course is tailored to introduce statistical knowledge and prepare participants for data
analysis tasks.
Prerequisites
This course is designed with beginners in mind and assumes no prior knowledge of statistics or quantitative research background. Participants are expected to come with their own laptops.
Course Outline
Each session will include a lecture followed by practicals and participants will get a chance to see how data analysis is being applied in a real-life scenario.
- Introduction to Statistics: Types of statistics, types of variables, summarizing and presenting data.
- Introduction to SPSS: Data entry, data manipulation
- Statistical Inferences: Hypothesis testing
- Test statistics: parametric and non-parametric tests
- Correlation and regression: Simple and multiple linear regression, logistic regression
Objectives
The course will;
- Introduce participants to SPSS as a data analysis tool.
- Introduce survey data as a key quantitative resource for social science research;
- Introduce basic statistics for exploratory data analysis including methods for describing and summarizing variable distributions;
- Provide essential skills for data manipulation including selecting sub-sets and recoding;
- Introduce the visual representation of variables in scatter graphs, bar charts, and histograms.
- Examine the relationships between variables.
Important dates
Registration deadline: 25th November 2019
Payment deadline: 25th November 2019
Registration Fee
Early bird registration fee (Register before or on 25th November 2019) – KSh. 30,000.
Late registration fee (After 25th November 2019) – KSh 35,000
Mode of payment:
Via Mpesa:
Business number is 100219,
Account number is “mathsconference”
Via Bank deposit
Name: Strathmore University
Bank: STANDARD CHARTERED BANK
Account Number and Currency: 0102044844000 (KES)
Bank Branch: Karen
Bank SWIFT Code: SCBLKENX
Cancellation Policy
For withdrawal cases, the portion of the course fee to be refunded is based on the date of notice as follows:
- 2 weeks before commencement of the course – Full refund
- Less than 2 weeks before commencement of the course – 70% refund
- On or after the date of commencement – No refund
Registration procedure
Please click here to register.
