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Data Science & Machine Learning Fundamentals · LearnSpace
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Data Science & Machine Learning Fundamentals

Курс от Corporate Finance Institute
Начальный≈ 5.8 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Data science is about using statistics to draw insights from data to drive action and improve business performance. This course will guide you through the world of data science and machine learning, using applied examples to demonstrate real-world applications. Whether you’re an aspiring data scientist or a c-level exec, this course will bring you up to speed on everything data science. You’ll be introduced to machine learning, classification, exploratory data analysis, feature selection, and feature engineering—what they mean and how they are relevant to your business. We’ll start by defining the skills, tools, and roles behind data science that work together to create insights. We’ll then walk through regression and classification—the most common predictive and statistical techniques. Finally, you will understand why having a basic understanding of data science outputs is essential to all business stakeholders and how we can use those outputs to make business decisions. Whether you are a business leader or an aspiring analyst exploring data science, this Data Science & Machine Learning Fundamentals course will serve as your comprehensive introduction to this fascinating subject. You’ll learn all the key terminology to allow you to talk data science with your teams, begin implementing analysis, and understand how data science can help your business.

Навыки, которые вы освоите

Exploratory Data AnalysisFeature EngineeringData CleansingData AnalysisData ScienceMachine LearningData-Driven Decision-MakingData PreprocessingRegression AnalysisData LiteracyMachine Learning MethodsData ProcessingModel EvaluationStatistical MethodsApplied Machine LearningPredictive AnalyticsStatistical AnalysisBusiness IntelligenceBusiness AnalyticsPredictive Modeling

Программа курса

9 модулей · 80 учебных материалов

01Getting Started2 материалов

Introduction

Course IntroductionВидеоDownloadable Learner FilesЧтение
02Data Science Basics15 материалов

Data Science Basics

Data Science - Definitions and ExamplesВидео

Учитесь у экспертов

CFI (Corporate Finance Institute)

Преподаватель курса

Data Science & Machine Learning Fundamentals
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Обучение на Coursera

≈ 5.8 ч

9 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Испанский, Японский, Казахский

Часть программы вашего университета
Types of AnalysisВидео
Data Science SkillsВидео
Two Types of Computer ScienceВидео
Interactive Exercise 1PLUGIN
The Data Science ProcessВидео
Machine Learning TerminologyВидео
Types of Data Science ModelsВидео
More Types of Data Science ModelsВидео
Interactive Exercise 2PLUGIN
Data Science ToolsВидео
Data Science RolesВидео
What about Artificial IntelligenceВидео
Interactive Exercise 3PLUGIN
Area of Interest PollЧтение
03Regression11 материалов

Regression

Regression - Theory & Business ObjectivesВидеоSimple & Multiple Linear RegressionВидеоOrdinary Least SquaresВидеоInterpreting CoefficientsВидеоTraining and TestingВидеоUnderfitting and OverfittingВидеоPlotting a Line of Best Fit in ExcelВидеоCalculating the Optimal LineВидеоRegression in PythonВидеоOther Regression TechniquesВидеоInteractive Exercise 4PLUGIN
04Classification14 материалов

Classification

Classification - Theory & Business ObjectivesВидеоClassification ModelsВидеоLogistic RegressionВидеоDecision TreesВидеоKNN - K Nearest NeighborsВидеоSVM - Support Vector MachinesВидеоNaive BayesВидеоGaussian Naive BayesВидеоConfusion MatrixВидеоEvaluation MetricsВидеоInteractive Exercise 5PLUGINOverfitting and UnderfittingВидеоLogistic Regression in Excel with RegressitLogisticВидеоClassification in PythonВидео
05Data Science Leadership4 материалов

Data Science Leadership

Leadership is EssentialВидеоModel ObjectivesВидеоModel LimitationsВидеоEvaluation MetricsВидео
06Data Preparation24 материалов

Data Preparation

Data Preparation & TerminologyВидеоData Cleansing Part 1ВидеоData Cleansing Part 2ВидеоData Cleansing - SolutionsВидеоInteractive Exercise 6PLUGINEDA Part 1 - Data TypesВидеоEDA - Data Type ExceptionsВидеоEDA - Descriptive Stats - Binary VariablesВидеоEDA - Descriptive Stats - Unordered CategoriesВидеоEDA - Descriptive Stats - Ordered CategoriesВидеоDescriptive Stats - Continuous VariablesВидеоEDA - Correlation & the Correlation MatrixВидеоEDA - Scatterplot MatrixВидеоInteractive Exercise 7PLUGINFeature SelectionВидеоFeature Engineering - OutliersВидеоFeature Engineering - Scaling MethodsВидеоFeature Engineering - Grouping and BinningВидеоTraining & TestingВидеоInteractive Exercise 8PLUGINData Prep in Python - Import & ExploreВидеоData Prep in Python - Correlation MatrixВидеоData Prep in Python - One Hot EncodingВидеоData Prep in Python - Train/Test SplitВидео
07Other Types of Analysis7 материалов

Other Types of Analysis

Ensemble ModelsВидеоUnsupervised LearningВидеоReinforcement LearningВидеоNeural Networks & Deep LearningВидеоRule Based ModelsВидеоMonte Carlo SimulationВидеоOther Statistical ModelsВидео
08Course Conclusion2 материалов

Course Conclusion

Course SummaryВидеоData Science Fundamentals ConclusionВидео
09Qualified Assessment1 материалов

Qualified Assessment

Qualified AssessmentЗадание