SAS Certified Data Scientist
Prerequisites:
It is best suited for those with a strong background in applied mathematics. A master's degree or higher in a quantitative or technical field is recommended, but not required.
Course Outline:
Level 1: SAS Certified Big Data Professional
Module 1: Big Data Preparation, Statistics and Visual Exploration
- Course 1: Big Data Challenges and Analysis-Driven Data
- Course 2: Exploring Data With SAS Visual Analytics
- Course 3: Statistics 1: Introduction to ANOVA, Regression and Logistic Regression
- Course 4: Preparing Data for Analysis and Reporting
- Course 5: Crafting Compelling (and true) Data Stories
Module 2: Big Data Programming and Loading
- Course 1: Introduction to SAS and Hadoop: Essentials
- Course 2: DS2 Programming Essentials With Hadoop
- Course 3: Hadoop Data Management With Hive, Pig and SAS
- Course 4: Getting Started With SAS In-Memory Statistics
Level 2: SAS Certified AI & ML Professional
Module 1: Machine Learning Using SAS® Viya®
- Course 1: Machine Learning Using SAS® Viya®
Module 2: Natural Language and Computer Vision
- Course 1: SAS® Visual Text Analysis in SAS® Viya®
- Course 2: Deep Learning Using SAS® Software
Module 3: Forecasting and Optimization
- Course 1: Forecasting Using Model Studio in SAS® Viya® 3.4
- Course 2: Optimization Concepts for Data Science and Artificial Intelligence
*Note:
For Level 2, one can also go for SAS Certified Advance Analytics Professional
The fees is inclusive of:
- Training & Digital Badge.
- Course material.
- 2 attempts of Global certification.
Download Course Curriculum
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