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Predictive Analytics · LearnSpace
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Predictive Analytics

Курс от Dartmouth College
Средний≈ 47.3 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Learn to turn data into actionable insights with Predictive Analytics for Digital Transformation. This hands-on course equips you with Python skills, predictive modeling techniques, and analytics strategies to drive innovation and efficiency in digital transformation with Dartmouth Thayer School of Engineering faculty Vikrant Vaze and Reed Harder. What you'll learn: 1. Build Predictive Models Using Python: Gain hands-on experience with Scikit-learn to develop and refine regression and classification models, applying them to real-world scenarios. 2. Diagnose and Improve Model Performance: Identify issues like overfitting and underfitting, apply cross-validation, and select optimal features to ensure robust, generalizable results. 3. Leverage Advanced Techniques: Explore neural networks, regularization, and cloud-based tools to scale and optimize predictive analytics for complex business challenges. 4. Integrate Analytics into Decision-Making: Translate data-driven insights into actionable strategies to drive innovation and efficiency in digital transformation initiatives.

Навыки, которые вы освоите

Predictive ModelingPredictive AnalyticsModel EvaluationRegression AnalysisModel OptimizationScikit Learn (Machine Learning Library)Model TrainingDigital TransformationFeature EngineeringSupervised LearningBusiness AnalyticsEthical Standards And ConductStatistical Machine LearningApplied Machine LearningAdvanced AnalyticsData-Driven Decision-MakingData EthicsStatistical ModelingData StrategyAnalytics

Программа курса

9 модулей · 109 учебных материалов

01Pre-Course Preparation15 материалов

Orientation

Course Welcome ВидеоCourse WelcomeЧтениеNote on Course OrderЧтениеWho Is Teaching the Course?Чтение

Учитесь у экспертов

Reed H. Harder

Course Facilitator

Vikrant S. Vaze

Associate Professor

Predictive Analytics
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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 47.3 ч

9 модулей

Язык: Английский

Субтитры: Венгерский, Казахский

Часть программы вашего университета
Course GoalsЧтение
Assessment and Certificate CompletionЧтение
Getting Started Задание

Pre-Course Materials and Resources

Readings and ResourcesЧтениеNavigating Coursera & Finding HelpЧтение

Pre-Course Activities

Activities to do this weekЧтениеIntroduction to Using NotebooksВидеоIntroduction to Using NotebooksЛабораторнаяPython Pre-Work NotebookЛабораторнаяProfessional Development: Preparing for Soft Infrastructure and Non-Cognitive Skills ActivitiesЧтениеProfessional Development: Ethical Leadership in Digital TransformationЗадание
02Introduction to Predictive Analytics10 материалов

Unit Overview

Unit IntroductionЧтениеActivities This UnitЧтение

What is Predictive Analytics?

What is Predictive Analytics?ВидеоWhat Is Predictive Analytics?Чтение

Supervised Learning for Predictive Analytics

Supervised Learning for Predictive AnalyticsВидеоSupervised Learning for Predictive Analytics Чтение

End of Unit Activities

Loading and Plotting DataЛабораторнаяLoading and Plotting Data - ExerciseЛабораторнаяKnowledge CheckЗаданиеProfessional Development: Decision-Making Under UncertaintyЗадание
03Our First Model14 материалов

Unit Overview

Unit IntroductionЧтениеActivities This UnitЧтение

Linear Regression Model

Linear Regression ModelВидеоLinear Regression ModelЧтениеLinear RegressionЛабораторная

Model Training–Objective

Model Training–ObjectiveВидеоModel Training–ObjectiveЧтениеModel Training–ObjectiveЛабораторная

Model Training–Algorithm

Model Training–AlgorithmВидеоModel Training–AlgorithmЧтениеModel Training–AlgorithmЛабораторная

End of Unit Activities

Unit Knowledge CheckЗаданиеEnd of Module Case Study - Linear RegressionЛабораторнаяProfessional Development: Agile Methodologies for Digital TeamsЗадание
04Adding Complexity16 материалов

Unit Overview

Unit IntroductionЧтениеActivities This UnitЧтение

Multivariate Linear Regression Model

Multivariate Linear Regression Model ВидеоMultivariate Linear Regression Model ЧтениеMutivariate Linear Regression ModelЛабораторная

Probability Basics

Probability BasicsВидеоProbability BasicsЧтениеProbability BasicsЛабораторная

Logistic Regression

Logistic RegressionВидеоLogistic RegressionЧтениеLogistic RegressionЛабораторная

Feature Selection

Feature SelectionВидеоFeature SelectionЧтениеFeature SelectionЛабораторная

End of Unit Activities

Unit Knowledge CheckЗаданиеProfessional Development: Facilitating Productive Virtual Meetings in Digital Transformation & Data AnalyticsЗадание
05Predictive Analytics in Python 10 материалов

Unit Overview

Unit IntroductionЧтениеReadings and ResourcesЧтениеActivities This WeekЧтение

Linear Regression on the Cloud

Linear Regression ReviewВидеоLinear Regression ReviewЛабораторная

Logistic Regression on the Cloud

Logistic Regression on the CloudВидеоLogistic Regression ReviewЛабораторная

End of Unit Activities

Unit Knowledge CheckЗаданиеProfessional Development: Change Management for Digital TransformationЗаданиеEnd of Module Case Study - Ecommerce AnalysisЛабораторная
06 Training Advanced Models13 материалов

Unit Overview

Unit IntroductionЧтениеActivities This UnitЧтение

Regularization

RegularizationВидеоRegularizationЧтениеRegularizationЛабораторная

Neural Networks Terminology

Neural Networks TerminologyВидеоNeural Networks TerminologyЧтениеNeural Networks TerminologyЛабораторная

Neural Networks Variations

Neural Networks VariationsВидеоNeural Networks VariationsЧтениеNeural Networks VariationsЛабораторная

End of Unit Activities

Knowledge Check: Training Advanced Models ЗаданиеProfessional Development: Managing Interdisciplinary Teamwork in Digital TransformationЗадание
07Putting it All Together14 материалов

Unit Overview

Unit IntroductionЧтениеActivities This WeekЧтение

Model Selection and Cross Validation

Model Selection and Cross ValidationВидеоModel Selection and Cross ValidationЧтениеModel Selection and Cross ValidationЛабораторная

Model Diagnostics

Model Diagnostics ВидеоModel Diagnostics ЧтениеModel Diagnostics Лабораторная

Working with Skewed Data

Working with Skewed DataВидеоWorking with Skewed DataЧтениеWorking with Skewed DataЛабораторная

End of Unit Activities

Knowledge CheckЗаданиеProfessional Development: Strengthening Adaptability to New Tech TrendsЗаданиеNeural Network and Cross ValidationЛабораторная
08Neural Networks in Python9 материалов

Unit Overview

Unit IntroductionЧтениеActivities This WeekЧтение

Neural Networks on the Cloud

Neural Networks on the CloudВидеоNeural Networks on the CloudЛабораторная

Model Diagnostics and Skewed Data Revisited

Model Diagnostics and Skewed Data RevisitedВидеоModel Diagnostics and Skewed Data RevisitedЛабораторная

End of Unit Activities

Cleaning and Preparing Data ЛабораторнаяKnowledge CheckЗаданиеProfessional Development: Coping with Failure & Learning from MistakesЗадание
09Practicum8 материалов

Unit Overview

Unit IntroductionЧтениеReadings and ResourcesЧтениеActivities This UnitЧтение

End of Course Activities

Professional Development: Branding & Reputation Management in the Digital Transformation LandscapeЗаданиеCase Study: Handwriting RecognitionЛабораторнаяCase Study: Real Estate AnalysisЛабораторнаяExit TicketЗаданиеNext StepsЧтение