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IBM: R Data Science Capstone Project

Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets.

R Data Science Capstone Project
4 semanas
1–2 horas por semana
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Comienza el 19 abr
Termina el 30 jun

Sobre este curso

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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 or IBM Data Analytics with Excel and R Professional Certificate Programs.

In this capstone project, you will take on the role of a data scientist who has recently joined an organization and is 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.

De un vistazo

  • Language English
  • Video Transcript English
  • Associated skillsData Modeling, R (Programming Language), Data Collection, Preparing Executive Summaries, Linear Regression, Statistical Hypothesis Testing, Data Analysis, Ggplot2, Data Science, Exploratory Data Analysis, SQL (Programming Language), Data Wrangling, Presentations

Lo que aprenderás

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  • Prepare data for modelling by handling missing values, formatting and normalizing data, binning, and turning categorical values into numeric values.

  • Do exploratory data analysis using descriptive statistics, data grouping, data analysis and correlation statistics.

Este curso es parte del programa Data Analytics and Visualization with Excel and R Professional Certificate

Más información 
Instrucción por expertos
8 cursos de capacitación
A tu ritmo
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10 meses
2 - 3 horas semanales

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