When does class start/end?
Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
Statistical Modeling for Data Analysis
Not every problem can be solved with machine learning. Teams working in highly regulated industries or with limited data may need to rely on statistical modeling. Statistical modeling is a powerful...
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$1,665 USD
Duration
2 days
Course Code
DS-2202
Available Formats
Classroom
Overview
Course Description
Not every problem can be solved with machine learning. Teams working in highly regulated industries or with limited data may need to rely on statistical modeling. Statistical modeling is a powerful tool for understanding complex systems by estimating the relationships between variables, making predictions, and drawing inferences. This data analysis course covers the fundamental concepts of probability, statistics, and statistical inference, providing participants with the knowledge and skills to apply statistical methods to some of the most complex data science problems. They learn how to estimate probability distributions, perform hypothesis testing, build regression models, and use Monte Carlo and Bayesian methods to solve data science problems. Hands-on labs give them practical experience in applying these statistical techniques to real-world datasets.
Skills Gained
By the end of this course, participants will be able to:
- Model data with probability distributions for solid statistical analysis
- Identify key drivers by calculating relationships between variables
- Optimize processes and forecast outcomes using regression models
- Enhance handling of uncertainty with Monte Carlo and Bayesian methods
Who Can Benefit
- Data Scientists & Analysts
- Software Developers
Prerequisites
- Practical Python Experience
- Applied Data Science Concepts with Python course or equivalent experience
Software
All attendees must have a modern web browser and an Internet connection.
Course Details
Course Details
Understanding Probability Distributions
- Introduction to Probability Distributions
- Types of Probability Distributions
- Properties of Probability Distributions
- PDF vs. PMF
- Central Limit Theorem and Law of Large Numbers
- Estimating Probability Distributions from Data
- Applications of Probability Distributions in Data Science
Statistical Metrics and Interpretation
- Introduction to Statistical Metrics
- Descriptive Statistics: Summarizing Data
- Inferential Statistics: Making Predictions from Data
- Statistical Metrics in Python
- Practical Applications of Statistical Metrics in Data Science
Sampling and Statistical Inference
- Introduction to Sampling & Statistical Inference
- Types of Sampling Methods
- Sampling Distribution & Central Limit Theorem
- Confidence Intervals and Estimation
- Hypothesis Testing
- Errors in Statistical Inference
- Practical Applications of Sampling & Statistical Inference
Linear and Logistic Regression
- Introduction to Regression Analysis
- Linear Regression
- Logistic Regression
- Estimation in Regression
- Model Evaluation in Regression
- Practical Applications of Linear and Logistic Regression
Monte Carlo Methods
- Introduction to Monte Carlo Methods
- Core Concepts of Monte Carlo Methods
- Steps in a Monte Carlo Simulation
- Applications of Monte Carlo Methods
- Implementing Monte Carlo Methods in Python
- Advantages and Limitations of Monte Carlo Methods
Bayesian Statistics and Inference
- Bayes’ Theorem – The Foundation of Bayesian Inference
- Components of Bayesian Inference
- Choosing Priors
- Bayesian Updating & Posterior Estimation
- Bayesian Hypothesis Testing & Model Selection
- Markov Chain Monte Carlo (MCMC) Methods
- Bayesian Regression & Machine Learning
- Bayesian Inference in Real-World Applications
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 class and material is good. I think some of the software needs to be updated.
The class was very vast paced however the teacher was very good at checking in on us while giving us time to complete the labs.
Exit certified was great as it is very in depth and hands on learning which made it very easy to learn this type of work.
Good Course. We covered a lot of material in a short amount of time. This course had useful labs that built upon each other.
Exit certified was great as it is very in depth and hands on learning which made it very easy to learn this type of work.
