By Simpliv
Online
Can be taken anytime
Professional Training Course
Yes (Details)
English
$12
Course Overview
About this Course:
This course covers a range of introductory statistical topics and uses SAS software to carry out analysis. Emphasis placed on the interpretation of the results. It covers the skills required to assemble analysis flow diagrams using the rich tool set and predictive modeling. Ready-to-use procedures handle a wide range of statistical techniques.
Basic knowledge:
- Basic computing skills
- Basic knowledge of statistics is preferred
Who should take this course
Beginners or job seekers interested in learning SAS Programming, statistical and data analysis in industry fields. People who wish to enter data science/analytics field.
Accreditation
Course Completion Certificate
Course content
What you will learn:
- Generate descriptive statistics and explore data with graphs
- Perform linear regression and assess the assumptions
- Use diagnostic statistics to identify potential outliers in multiple regression
- Fit a multiple logistic regression model
- Modify data for better analysis results
- Build and understand predictive models such as regression models
- Compare and explain complex models generate and use score code
About Course Provider
Simpliv LLC, a platform for learning and teaching online courses. We basically focus on online learning which helps to learn business concepts, software technology to develop personal and professional goals through video library by recognized industry experts or trainers.
Why Simpliv
With the ever-evolving industry trends, there is a constant need of the professionally designed learning solutions that deliver key innovations on time and on a budget to achieve long-term success.
Simpliv understands the changing needs and allows the global learners to evaluate their technical abilities by aligning the learnings to key business objectives in order to fill the skills gaps that exist in the various business areas including IT, Marketing, Business Development, and much more.