Olalekan Aduroja
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Ola Aduroja is a Systems Analyst with Over 30years experience in System Analysis and Special interest and skill in Data Science, Data Management (Research Designs, Data Capture, Data Analysis, Report Writing), Database Management Systems (Website Design, Web Application Design/Development), Software Engineering (System Troubleshooting). Holds A BSc Degree in Mathematics (OAU, Ile-Ife), Diploma Data Processing (IDPM London), Master of Business Administration (MBA) (OAU, Ile-Ife). He is a member of British Computer Society.
Contact: ola.aduroja@thummimng.com, olaaduroja@gmail.com, oo.aduroja@mail1.ui.edu.ng
+2348033638581
- ₦10,000
Data Analysis Using SPSS Statistical Package
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ThummimNG uses cookies to improve your experience while engaging our content. We'll assume you're ok with this, but you can opt-out if you wish. COOKIE SETTINGSACCEPTPrivacy & Cookies PolicyPrivacy Overview
This website uses cookies to improve your experience while you navigate through the website. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may have an effect on your browsing experience.Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.×Talk to us!
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- ₦20,000
Statistical Analysis Using SPSS, STATA and R Programming Language
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