Probability And Statistics For Data Science in Hartford

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Probability and Statistics for Data Science Training

Hartford

Attain in-depth knowledge of random variables and multivariate random variables
Gain an understanding of the convergence of random processes and Markov chains
Learn Bayesian statistics with this Probability and Statistics for Data Science Course

Dates & Prices Dates & Prices

Course information

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 Hartford 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 Hartford 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 Hartford 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 Hartford 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 Hartford, 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 Hartford venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

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.

Hartford, a city in the state of Connecticut, has a current population that totals an average of roughly 125,000 spread across 18 square miles of land. At The Knowledge Academy we offer over 50,000 classroom based training courses in Hartford, in order to enhance people’s learning in an array of subject areas. Education in the USA is provided by both public and private schools, and is mandatory until the age of 16. Pupils conducting their schooling within the USA start off at preschool, followed by elementary school, then middle school, before finishing at high school. At age 18, US citizens are able to engage in higher education. Higher education in the USA normally comes in the form of a college, undergraduate school, or a community college – that latter of which doesn’t normally cost anything to attend. Candidates participating in a course at a college will gain credits towards a bachelor’s degree, whilst candidates participating in a course at a community college will be earning credits in order to achieve an associate’s degree.

Address

Downtown
100 Pearl Street
14^th Floor
Hartford
Connecticut
06103

T: +1 7204454674

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 Hartford. 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.

Learn more in our FAQs

Unlock your potential with The Knowledge Academy's Probability And Statistics For Data Science in Hartford, 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.

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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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What our customers are saying

Probability And Statistics For Data Science in Hartford FAQs

What is Statistics & Probability for Data Science?

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.

What are the prerequisites to attend this Probability and Statistics for Data Science Course?

There are no formal prerequisites for attending this course.

What are the benefits of this Probability and Statistics for Data Science Certification?

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.

Who should attend this Probability and Statistics in Data Science Training?

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.

What is the duration of this Probability and Statistics in Data Science Training?

The duration of this course spans across 2 days.

What will I learn in this Probability and Statistics for Data Science Training Course?

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.

Do you offer 24/7 support for this Statistics & Probability for Data Science Training?

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.

What kind of jobs does this Probability and Statistics for Data Science Certification offer?

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.

Do you provide corporate training for this Probability and Statistics for Data Science Course?

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.

What is the cost/training fees for Probability and Statistics for Data Science Training in Hartford?

The training fees for Probability and Statistics for Data Science Trainingin Hartford starts from $3195

Which is the best training institute/provider of Probability and Statistics for Data Science Training in Hartford?

The Knowledge Academy is the Leading global training provider for Probability and Statistics for Data Science Training.

What are the best Data Science Courses courses in Hartford?

Please see our Data Science Courses courses available in Hartford

Why choose us

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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