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Statistics You Need to Know for Machine Learning
When it comes to using data, there are two main camps, traditional statistics and machine learning, and the two camps complement each other. Statistics remains highly relevant, irrespective of the...
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$2,400 USD
Course Code
VST141
Available Formats
Classroom
Overview
When it comes to using data, there are two main camps, traditional statistics and machine learning, and the two camps complement each other. Statistics remains highly relevant, irrespective of the "bigness" of data. Its role remains what it has always been, but it is even more important now. There is a need to transition from traditional statistical modeling to the machine learning world. This course introduces the statistical background necessary for machine learning using SAS Viya. Knowledge of statistics relevant to machine learning will prepare you to become a data scientist. The course prepares you for future instruction on doing machine learning (including its underlying methodology that has statistical foundations) and enables you to develop a deeper understanding of machine learning models.
This course is a prerequisite to many of the courses in the data science curriculum. A more advanced treatment of machine learning occurs in the courses Machine Learning Using SAS® Viya®, Interactive Machine Learning in SAS® Viya®, SAS® Visual Statistics in SAS® Viya®: Interactive Model Building, and Supervised Machine Learning Procedures Using SAS® Viya® in SAS® Studio
For students interested in statistics for inference and explanatory analysis used in scientific and medical research, Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression is an appropriate foundational course.
Skills Gained
- Explain the relevance of statistics in big data and machine learning.
- Relate statistical and data science terminology.
- Generate descriptive statistics and explore data with graphs.
- Detect associations among variables.
- Perform linear regression for explanatory modeling.
- Compare explanatory modeling with predictive modeling.
- Describe the trade-off between bias and variance.
- Fit a logistic regression model for predictive modeling.
- Score new data.
- Explain the statistical foundations of machine learning.
- Discuss data difficulties and modeling issues and their statistical solutions.
Who Can Benefit
- Anyone in the field of data science who does not yet have a deep understanding of statistical and machine learning concepts or wants to enhance their knowledge, which might include business analysts, data analysts, marketing analysts, marketing managers, data scientists, data engineers, financial analysts, data miners, statisticians, mathematicians, and others who work in allied areas
Prerequisites
- Before attending this course, you should have experience using computer software. It is beneficial if you have completed the equivalent of an undergraduate course in statistics covering distribution of data, p-values, hypothesis testing, and regression. No prior SAS experience is needed.
Course Details
Statistics and Machine Learning
- Relevance of statistics in big data and machine learning.
- Terminology and vocabulary.
- Introduction to SAS Viya and SAS Studio.
Fundamental Statistical Concepts
- Introduction to statistical analysis.
- Descriptive statistics.
- Inferential statistics.
Explanatory Modeling Using Linear Regression
- Correlation and simple linear regression.
- Multiple regression and model selection.
- Model diagnostics.
Predictive Modeling Using Logistic Regression
- Introduction to predictive modeling.
- Categorical associations.
- Logistic regression model.
- Model deployment.
Statistical Foundations of Machine Learning
- Overview of machine learning.
- Data pre-processing for machine learning models.
- Model evaluation, estimation, and post-training tasks.
Schedule
FAQ
Does the course schedule include a Lunchbreak?
Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.
What languages are used to deliver training?
Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.
What does GTR stand for?
GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.
How do I find an Ascendient Learning training location?
We have training locations across the United States and Canada - View a complete list of classroom training locations.
Which delivery formats are available?
At Ascendient Learning, we offer training that is Instructor-Led, Online, Virtual, and Self-Paced.
Does Ascendient Learning deliver group training?
Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.
What does vendor-authorized training mean?
As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.
Is the training too basic, or will you go deep into technology?
It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.
How up-to-date are your courses and support materials?
We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.
Are your instructors seasoned trainers who have deep knowledge of the training topic?
Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.
Do you provide hands-on training and exercises in an actual lab environment?
Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.
Will you customize the training for our company’s specific needs and goals?
We will work with you to identify training needs and areas of growth. We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.
How do I get started with certification?
Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.
Will I get access to content after I complete a course?
You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.
How do I request a W9 for Ascendient Learning?
View our filing status and how to request a W9.
Reviews
The format of the class was concise. I learned new skills to use at my workplace.
This course gave me a clearer understanding of the AWS cloud architecture.
Overall it was a good bootcamp. A lot to cover so it is understandable that the pace had to be a little fast.
The training was very good to understand the concepts and how to set up things .
had a good time with the course, however some topics were left out due to the compact amount of time for training.
