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Probability and Statistics for Data Science Training Course Outline
Module 1: Basic Probability Theory
- Probability Spaces
- Conditional Probability
- Independence
Module 2: Random Variables
- What are Random Variables?
- Discrete Random Variables
- Continuous Random Variables
- Conditioning on an Event
- Functions of Random Variables
- Generating Random Variables
Module 3: Multivariate Random Variables
- Introduction to Multivariate Random Variables
- Discrete Random Variables
- Continuous Random Variables
- Joint Distributions of Discrete and Continuous Variables
- Independence
- Functions of Several Random Variables
- Generating Multivariate Random Variables
- Rejection Sampling
Module 4: Expectation
- Expectation Operator
- Mean and Variance
- Covariance
- Conditional Expectation
Module 5: Random Processes
- Introduction to Random Process
- Mean and Autocovariance Functions
- Independent Identically-Distributed Sequences Gaussian Process
- Poisson Process
- Random Walk
Module 6: Convergence of Random Processes
- Types of Convergence
- Law of Large Numbers
- Central Limit Theorem
- Monte Carlo Simulation
Module 7: Markov Chains
- Markov Property
- Time-Homogeneous Discrete-Time Markov Chains
- Recurrence
- Periodicity
- Convergence
- Markov-Chain Monte Carlo
Module 8: Descriptive Statistics
- What is Descriptive Statistics?
- Examples of Descriptive Statistics
- Types of Descriptive Statistics
Module 9: Frequentist Statistics
- Mean Square Error
- Consistency
- Confidence Intervals
- Nonparametric Model Estimation
- Parametric Model Estimation
- Maximum Likelihood
Module 10: Bayesian Statistics
- Bayesian Parametric Models
- Conjugate Prior
- Bayesian Estimators
Module 11: Hypothesis Testing
- Hypothesis-Testing Framework
- Parametric Testing
- Nonparametric Testing: The Permutation Test
- Multiple Testing
Module 12: Linear Regression
- Introduction to Linear Regression
- Linear Models
- Least-Squares Estimation
Who should attend this Probability and Statistics for Data Science Training Course?
This Probability and Statistics for Data Science Training Course in Albany, NY is designed to provide foundational and practical knowledge in Probability and Statistics, which are crucial for Data Science, Machine Learning, and Data Analysis. The following are some professionals who will benefit from attending this course:
- Data Scientists
- Machine Learning Engineers
- Data Analysts
- Business Analysts
- Product Managers
- Quantitative Analysts
- Statisticians
Prerequisites of the Probability and Statistics for Data Science Training Course
There are no prerequisites for the Probability and Statistics for Data Science Course.
Probability and Statistics for Data Science Training Course Overview
Probability and Statistics form the foundational pillars of Data Science, providing the necessary tools for understanding uncertainty, variability, and making informed decisions based on data. This training course in Albany, NY delves into the fundamental concepts of probability and statistics, emphasizing their crucial role in the field of Data Science. Delegates will explore how these concepts contribute to the extraction of meaningful insights and patterns from data.
Understanding Probability and Statistics is essential for professionals in the Data Science domain. Data scientists, Analysts, and decision-makers in Albany, NY rely on these principles to draw accurate conclusions and predictions from data. Mastery of probability allows for the quantification of uncertainty, while statistics enables the analysis of data patterns and trends.
This 2-day Probability and Statistics for Data Science Training in Albany, NY will empower the delegates with the skills to apply probability and statistics in practical Data Science scenarios. They will learn key concepts such as probability distributions, hypothesis testing, and regression analysis. The course provides a comprehensive understanding of statistical methods, enabling professionals to make informed decisions and predictions based on data.
Course Objectives
- To represent and analyze uncertain phenomena using a framework
- To quantify the outcome of the experiment as belonging to a specific event
- To assign probabilities to each occurrence of interest and an experiment
- To become accustomed to Markov chains and different statistical types
- To generate samples from the appropriate conditional distribution
- To evaluate the occurrence of a particular event that influences another event
Upon completion of this Data Science Course in Albany, NY, the delegates will possess a strong foundation in Probability and Statistics for Data Science. They will be equipped with the tools and techniques needed to analyze data effectively, make informed decisions, and contribute meaningfully to data-driven projects within their organizations.
What’s included in this Probability and Statistics for Data Science Training Course?
- World-Class Training Sessions from Experienced Instructors
- Probability and Statistics for Data Science Certificate
- Digital Delegate Pack
Why choose us
Our Albany, NY venue
Includes..
Air conditioned
To keep you comfortable during your course we offer a fully air conditioned environment.
Full IT support
IT support is on hand to sort out any unforseen issues that may arise.
Video equipment
This location has full video conferencing equipment.
Ways to take this course
Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Probability And Statistics For Data Science in Albany, NY. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.
Unlock your potential with The Knowledge Academy's Probability And Statistics For Data Science in Albany, NY, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.
Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.
Tailored learning experience
Leverage benefits offered from a certification that fits your unique business or project needs
Maximise your training budget
Cut unnecessary costs and focus your entire budget on what really matters, the training.
Team building opportunity
Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings
Monitor employees progress
The course know-how will help you track and evaluate your employees' progression and performance with relative ease
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Probability And Statistics For Data Science in Albany, NY FAQs
Statistics & Probability in Data Science focuses on foundational mathematical concepts essential in analyzing and interpreting data. It covers probability theory, distributions, hypothesis testing, and regression analysis, which are vital for making data-driven decisions and constructing predictive models in Data Science.
There are no formal prerequisites for attending this course.
This certification offers critical skills in handling and interpreting data, enabling better decision-making. It provides expertise in statistical analysis, probability theory, and data modeling, essential for solving complex problems and developing effective data-driven strategies in various industries.
This course is tailored for individuals pursuing data analysis, machine learning, or data-driven decision-making careers. Data Science, Statistics, Business Analysis, and research professionals benefit from advancing their statistical and probabilistic skills through this course.
The duration of this course spans across 2 days.
This course focuses on core statistical concepts essential for Data Science, covering probability theory, distributions, hypothesis testing, regression analysis, and more. Delegates learn to apply statistical methods in data analysis, gaining insights into real-world scenarios, data-driven decision-making, and predictive modeling.
Yes. The Knowledge Academy offers 24/7 support for delegates before, during, and after the course. Should you encounter any difficulties accessing course materials, our customer support team is available to assist and promptly resolve any issues you may encounter.
Completing this course can lead to roles such as Data Scientist, Statistical Analyst, Business Analyst, Research Analyst, or Machine Learning Engineer. These positions require strong statistical knowledge, which is critical for interpreting and deriving insights from data in various industries.
The Knowledge Academy provides flexible self-paced training for this course. Self-paced training is beneficial for individuals who have an independent learning style and wish to study at their own pace and convenience.
The training fees for Probability and Statistics for Data Science Trainingin Albany, NY starts from $3195
The Knowledge Academy is the Leading global training provider for Probability and Statistics for Data Science Training.
Please see our Data Science Courses courses available in Albany, NY
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Best price in the industry
You won't find better value in the marketplace. If you do find a lower price, we will beat it.
Many delivery methods
Flexible delivery methods are available depending on your learning style.
High quality resources
Resources are included for a comprehensive learning experience.
"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water
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