Machine Learning for Data Analyst
Course Duration: 6 Days
SAS Machine Learning for Data Analysts brings in the capability to support the business and management with clear and insightful analysis on the data at hand. This includes data mining skills, advanced modeling techniques, testing and creating and explaining results in clear and concise reports.
Base SAS®Programmer Certification
It is the entry point to learning SAS programming and is a prerequisite to many other SAS courses
+
SAS® Macro Language 1: Essentials
+
SAS® SQL 1: Essentials
+
SAS® Predictive Modeling
Covers a range of statistical topics. Emphasis will be placed on the interpretation of the results.
=
Machine Learning for Data Analyst
Who should attend: Aspirants who want to learn machine learning techniques and build a strong SAS programming foundation to manipulate data, perform queries and analysis, and generate analytical insights. Additionally, wants to access the power of SAS for analysis for complex business problems through data mining and predictive modeling using the point-and-click interface.
Prerequisites: Flair of any programming language is preferred however not necessary. Candidates with Engineering/MBA/MCA /Science/ Statistics degree or Analytics experience preferred.
- Classroom
- Live Web
- Self Paced Learning
Case Studies
Learn the application of data science through a comprehensive set of case studies designed by international industry experts in fields such as BFSI, Retail, E-Commerce, Cyber crime and much more
Preparing Data & Manipulation Techniques
- Use programming approach for data preparation, manipulation & analysis purpose
Predicting Charity Propensity
- Data exploration and supervised machine learning to establish charity propensity for donation on real data
Machine Learning for Data Analyst
Course Duration: 6 Days
SAS Machine Learning for Data Analysts brings in the capability to support the business and management with clear and insightful analysis on the data at hand. This includes data mining skills, advanced modeling techniques, testing and creating and explaining results in clear and concise reports.
Base SAS®Programmer Certification
It is the entry point to learning SAS programming and is a prerequisite to many other SAS courses
+
SAS® Macro Language 1: Essentials
+
SAS® SQL 1: Essentials
+
SAS® Predictive Modeling
Covers a range of statistical topics. Emphasis will be placed on the interpretation of the results.
=
Machine Learning for Data Analyst
Who should attend: Aspirants who want to learn machine learning techniques and build a strong SAS programming foundation to manipulate data, perform queries and analysis, and generate analytical insights. Additionally, wants to access the power of SAS for analysis for complex business problems through data mining and predictive modeling using the point-and-click interface.
Prerequisites: Flair of any programming language is preferred however not necessary. Candidates with Engineering/MBA/MCA /Science/ Statistics degree or Analytics experience preferred.
- Classroom
- Live Web
- Self Paced Learning
Case Studies
Learn the application of data science through a comprehensive set of case studies designed by international industry experts in fields such as BFSI, Retail, E-Commerce, Cyber crime and much more
Preparing Data & Manipulation Techniques
- Use programming approach for data preparation, manipulation & analysis purpose
Predicting Charity Propensity
- Data exploration and supervised machine learning to establish charity propensity for donation on real data
Student Testimonials
Ultramax Infonet provides rigorous technical and practical training on SAS . In addition to training it also conducts TNA’s which prepares students for GLOBAL Certification Exams. Training provided for Base and Advance SAS was fantastic for most of the modules.
Rishab Bothra
Swati Jadhav
