Statistical modeling and predictive analytics
Learn range of statistical topics and uses SAS software to carry out predictive analysis. Emphasis will be placed on the explanation of the results. A wide range of statistical modeling and predictive analysis techniques including simple descriptive statistics, data visualization, analysis of variance, regression, categorical data analysis, multivariate analysis, cluster analysis, and non parametric analysis are part of this program
What Will I Learn?
- Interactive Learning
- Case studies
- For the industry by the industry
- Cutting edge curriculum
Topics for this course
Lesson 1: Introduction to Analytics and Basic Statistics
Lesson 2: Introduction to Probability Theory
Lesson 3: Sampling Theory and Estimation
Lesson 4: Theory of Estimation
Lesson 5: Testing of hypothesis
Lesson 6: Analysis of Variance
Lesson 7: Exploratory Factor Analysis
Lesson 8: Cluster Analysis
Lesson 9: Linear Regression and Multiple Linear Regression
Lesson 10: Logistic Regression
Lesson 11: Time Series Analysis
The course is very informative and is taught with a passion for the field. Loved doing the Course.
It's an amazing course to a roadmap to Analytics. Highly Recommendable.
This course is very interesting and very engaging. The statistical concepts were taught from the basic level. Those who do not have any statistical knowledge or does not belong to any programming background can also go for this. It is a very helpful course for the people who wants to work in Data Analytics domain using SAS.
Loved doing the course. Brilliant Course content. Once you start doing the applications it will really help you evaluate yourself.
This course is an awesome kick-starter for those who wants to work with SAS Analytics. Proper guidance is provided to clear the interviews. All the techniques are taught with proper examples. Its a really good course.
This course content is really good. It covers all the basics of statistics and analytical techniques and the applications. Very helpful in order to work with Predictive Modeling using SAS.