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SAS Course & Tutorial: Data Analysis and Advanced Programming
From 37.82 Fr /h
Master the power of data with an intensive, results-oriented SAS course designed to quickly take you from beginner to professional level. You'll learn to transform raw data into actionable insights, automate your processes, detect anomalies, and build reliable analyses just like in a real-world environment. Each session is based on concrete, practical case studies, allowing you to acquire skills directly applicable in the workplace.
This course is ideal for students, analysts, and professionals looking to stand out with sought-after expertise. In addition to a solid foundation, you'll benefit from personalized support for your projects (dissertation, thesis, or professional needs), using a clear and effective methodology. The goal is simple: to make you independent, efficient, and capable of producing professional-quality results in minimal time. 🚀
This course is ideal for students, analysts, and professionals looking to stand out with sought-after expertise. In addition to a solid foundation, you'll benefit from personalized support for your projects (dissertation, thesis, or professional needs), using a clear and effective methodology. The goal is simple: to make you independent, efficient, and capable of producing professional-quality results in minimal time. 🚀
Location
Online from Morocco
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
30 minutes
45 minutes
60 minutes
90 minutes
120 minutes
The class is taught in
French
English
Arabic
Skills
Availability of a typical week
(GMT -04:00)
New York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
I offer a comprehensive course in statistical modeling using IBM SPSS Statistics, designed for students, researchers, and professionals who want to analyze their data rigorously and efficiently. This training covers the entire process, from data preparation and exploration to the construction and interpretation of statistical models such as linear and logistic regression, as well as the main statistical tests (t-test, ANOVA, Chi-square). The approach is both pedagogical and practical, with concrete applications and the opportunity to work on your own data, particularly for dissertations or theses. The goal is to make you independent in statistical analysis and enable you to produce reliable, clear, and actionable results in an academic or professional context.
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