Назад в каталог
Курс от IBM
courseraАнализ данных
Data Science with R - Capstone Project
Курс от IBMО курсе
In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses in the IBM Data Science with R Specialization or IBM Data Analytics with Excel and R Professional Certificate. For this project, you will assume the role of a Data Scientist who has recently joined an organization and be presented with a challenge that requires data collection, analysis, basic hypothesis testing, visualization, and modeling to be performed on real-world datasets. You will collect and understand data from multiple sources, conduct data wrangling and preparation with Tidyverse, perform exploratory data analysis with SQL, Tidyverse and ggplot2, model data with linear regression, create charts and plots to visualize the data, and build an interactive dashboard. The project will culminate with a presentation of your data analysis report, with an executive summary for the various stakeholders in the organization.
Навыки, которые вы освоите
Data WranglingData SciencePredictive AnalyticsData PresentationPredictive ModelingRegression AnalysisExploratory Data AnalysisGgplot2Web ScrapingData CleansingInteractive Data VisualizationData CollectionShiny (R Package)Tidyverse (R Package)Data TransformationData AnalysisData VisualizationStatistical AnalysisDashboard CreationDashboard
Программа курса
6 модулей · 51 учебных материалов
01Module 1 - Capstone Overview and Data Collection12 материалов
Capstone Introduction and Understanding the Datasets
Introduction to Data Science with R Capstone ProjectВидеоCourse OverviewЧтениеCapstone OverviewPLUGIN(Optional) Obtain an IBM Cloud Feature CodeВнешний инструментУчитесь у экспертов
Yan Luo
Ph.D., Data Scientist and Developer