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Data Science is an ever-evolving field
Learn how data science and analytics is able to extract valuable insights from information to inhance decision making
A complete guide to learning the details of machine learning algorithms by implementing them from scratch in Python
Welcome to Azure Synapse Analytics Service (formerly Azure SQL Data Warehouse)
Learning ObjectivesIn this video, you will learn about Bayes’ theorem and how it is used in practiceLearn an example with a frequentist solutionDefine Bayes’ theoremDefine Bayesian solution and the usefulness of Bayes’ theoremThis video forms part of the course Introduction to Bayesian Analysis in PythonCourse OverviewBayesian statistics is an effective tool for solving some inference problems when the available sample is too small for more complex statistical analysis to be applied
Learning ObjectivesIn this video, you will learn about the various available priorsLearn about Bayesian priorExplore the list of priorsExplanation about their rolesThis video forms part of the course Introduction to Bayesian Analysis in PythonCourse OverviewBayesian statistics is an effective tool for solving some inference problems when the available sample is too small for more complex statistical analysis to be applied
Learning ObjectivesIn this video, you will learn about the steps to solve the problemExplore the problem solving approachTake a look at the list of problem-solving stepsExplanation about stepsThis video forms part of the course Introduction to Bayesian Analysis in PythonCourse OverviewBayesian statistics is an effective tool for solving some inference problems when the available sample is too small for more complex statistical analysis to be applied
Learning ObjectivesIn this video, you will learn about the Observing the Dark World projectLearn about the Observing the Dark World ProjectTake a look at complete description about the projectEvaluation of projectThis video forms part of the course Introduction to Bayesian Analysis in PythonCourse OverviewBayesian statistics is an effective tool for solving some inference problems when the available sample is too small for more complex statistical analysis to be applied
In business, being able to understand, harness, and use data is no longer a skill reserved for a handful of well-paid analysts
If you are working on machine learning projects and want to find patterns and insights from your data on your way to building models, then this course is for you
Data science is quickly becoming one of the most promising careers in the twenty-first century
Convolutional Neural Networks (CNNs) are considered game-changers in the field of computer vision, particularly after AlexNet in 2012
Deep learning refers to artificial neural networks that are composed of many layers
In this comprehensive, beginner-level course on Qlik Sense, you will learn how to use this business analytics tool to create interactive visualizations
Learning ObjectivesIn this video, you will learn about hierarchical linear regression with exampleLearn about hierarchical linear regressionGet information about hierarchical linear regressionTake a look at the solution of hierarchical linear regressionThis video forms part of the course Introduction to Bayesian Analysis in PythonCourse OverviewBayesian statistics is an effective tool for solving some inference problems when the available sample is too small for more complex statistical analysis to be applied
The ability to analyze data is a powerful skill that helps you make better decisions
Data visualizations are representations of data in pictorial or graphical format
Bayesian statistics is an effective tool for solving some inference problems when the available sample is too small for more complex statistical analysis to be applied
Learn what it takes to become a data scientist
Business growth requires a mix of analytical skills (to manipulate data), business acumen (to apply findings to real-world situations) and statistics (to separate what's essential from what's not)
Learn how to visualise your data so it can be easily interpreted by people
Learning ObjectivesIn this video, you will learn about linear regression with exampleLearn about linear regressionGet information about linear regression problemTake a look at the solution of linear regression problemThis video forms part of the course Introduction to Bayesian Analysis in PythonCourse OverviewBayesian statistics is an effective tool for solving some inference problems when the available sample is too small for more complex statistical analysis to be applied
Learning ObjectivesIn this video, you will get an example and explanation of logistic regression problemLearn about logistic exampleExplanation about problemSolution using logistic regressionThis video forms part of the course Introduction to Bayesian Analysis in PythonCourse OverviewBayesian statistics is an effective tool for solving some inference problems when the available sample is too small for more complex statistical analysis to be applied
Learning ObjectivesIn this video, you will get an introduction about logistic regressionLearn about logistic regressionExplore the function of logistic regressionExplanation about outcome of functionThis video forms part of the course Introduction to Bayesian Analysis in PythonCourse OverviewBayesian statistics is an effective tool for solving some inference problems when the available sample is too small for more complex statistical analysis to be applied
Learning ObjectivesThis video will help you learn about loss function basics and implementationLearn about loss functionTake a look at the example of loss functionLearn from the graphical explanation of loss functionThis video forms part of the course Introduction to Bayesian Analysis in PythonCourse OverviewBayesian statistics is an effective tool for solving some inference problems when the available sample is too small for more complex statistical analysis to be applied
Power BI is a cloud-based business analytics service, helping you stay up-to-date with the information that matters to you
Learning ObjectivesIn this video, you will learn about various models and approachesLearn about various modelsTake a look at the explanation about models and approachesThis video forms part of the course Introduction to Bayesian Analysis in PythonCourse OverviewBayesian statistics is an effective tool for solving some inference problems when the available sample is too small for more complex statistical analysis to be applied
Learning ObjectivesIn this video, you will learn about various multiparametric modelsLearn about the basics of parametric modelsExplore various parametric modelsExplanationThis video forms part of the course Introduction to Bayesian Analysis in PythonCourse OverviewBayesian statistics is an effective tool for solving some inference problems when the available sample is too small for more complex statistical analysis to be applied
AWS is the #1 cloud-based tool used industry-wide for machine learning projects
The following practice exam will help you prepare for taking the real certification exam
In this course, you will learn about core concepts of data science, exploratory data analysis, statistical methods, role of data, Python language, challenges of bias, variance and overfitting, choosing the right performance metrics, model evaluation techniques, model optimization using hyperparameter tuning and grid search cross validation techniques, and more
A key skill for any employee is the ability to present raw data and use it to persuade audiences
The objective of this course is to give you a solid foundation needed to excel in all areas of computer science—specifically data science and machine learning
Probability is probably the most fundamental skill you need to acquire if you want to be successful in the world of business
In this module, you'll learn how to use the Azure features available for protect, monitor, and tune a database
Learning ObjectivesThis video will elaborate a much more complex example along with its explanationTake a look at an exampleLearn about PyMC3 codeTake a look at the explanation about code and resultThis video forms part of the course Introduction to Bayesian Analysis in PythonCourse OverviewBayesian statistics is an effective tool for solving some inference problems when the available sample is too small for more complex statistical analysis to be applied
Python is famed as one of the best programming languages for its flexibility
R programming is a skill you'll need if you want to work as a data analyst or a data scientist in your industry of choice
Take your first steps towards discovering, learning, and using Apache Spark 3
This is the golden age of open source NoSQL databases
If you are looking to expand your knowledge in data engineering or want to level up your portfolio by adding Spark programming to your skillset, then you are in the right place
Learning ObjectivesIn this video, you will learn what statistical modeling means and the role of probability theory in itDefine statistical modelsHave a look at few examples of simple statistical modelsExplore the role of probability theory in statistical modelsThis video forms part of the course Introduction to Bayesian Analysis in PythonCourse OverviewBayesian statistics is an effective tool for solving some inference problems when the available sample is too small for more complex statistical analysis to be applied
Is statistics a driving force in the industry you want to enter? Do you want to work as a Marketing Analyst, a Business Intelligence Analyst, a Data Analyst, or a Data Scientist? This is where you start
While the fundamental skills of data analysis contain common patterns for every organization and industry, there are specific considerations when tackling data analyst work in context
In this introductory course on Tableau, you will learn how to use one of the best data analytics and business intelligence tools available
Gain expert-level skills in building visualizations, organizing data and designing dashboards with this advanced Tableau course
From banking and manufacturing through to education and entertainment, using data science for business has revolutionized almost every sector in the modern world
Learning ObjectivesThis video explores more complex example, with a programmatic solutionExplore the basic concepts of probabilistic programmingDefine model in PyMC3Learn about the posterior and various heuristics to gauge the resultsThis video forms part of the course Introduction to Bayesian Analysis in PythonCourse OverviewBayesian statistics is an effective tool for solving some inference problems when the available sample is too small for more complex statistical analysis to be applied
Learning ObjectivesThis video explores more complex example, with an analytical solutionIntroduce the coin-flipping problemDefine mathematical modelExplain Analytical calculation of the posterior and visualization of different possible posteriorsThis video forms part of the course Introduction to Bayesian Analysis in PythonCourse OverviewBayesian statistics is an effective tool for solving some inference problems when the available sample is too small for more complex statistical analysis to be applied
For over 20 years, SAS has been the programming language of choice in many industries such as pharma, finance, and insurance, thanks to its ability to handle large amounts of data and its powerful analytics and visualization capabilities
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