Online Course – Tidyverse Certified Professional Internship for Data Science Skills in R from Johns Hopkins University

Discover insights from data with Tidyverse tools. Import, manage, visualize, and model data with Tidyverse R packages.

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קורס אונליין - התמחות מקצועית מוסמכת בכישורי Tidyverse למדעי הנתונים ב-R של אוניברסיטת ג'ונס הופקינס

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Data Science
  • Data Analytics
  • Data analysis software
  • Data visualization
  • R programming
  • Predictive models

What you will learn in the course

Courses for which the course is suitable

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Data Engineer
  • Business Intelligence Analyst
  • Statistical Analyst
  • Research Scientist in Data Science
  • Data Visualization Specialist

Internship – Series of 5 courses

This specialization is designed for data scientists with some familiarity with the R programming language who want to do data science using the Tidyverse family of packages. Over the course of 5 courses, you will cover aspects of importing, processing, presenting, and modeling data using the powerful Tidyverse framework. Tidyverse packages provide a simple yet powerful approach to data science, allowing you to move from basic analytics to large-scale data projects. The course covers the entire data science project lifecycle and presents organized tools for each stage.

Applied learning project

Learners will participate in a project at the end of each course. In each project, learners will build and design a data science project from the ground up, import and process data from a variety of formats, transform unstructured data into structured data, visualize data using ggplot2, and build predictive models using machine learning.

Details of the courses that make up the specialization

Introducing the Tidyverse

Course 1

  • 7 hours
  • 4.4 (42 ratings)

Course Details

What to study
  • Differences between ordered and unordered data
  • How to transform unordered data into ordered data
  • Tidyverse Package System Description
  • Organizing and starting a data science project

Importing data into Tidyverse

Course 2

  • 15 hours
  • 4.7 (44 ratings)

Course Details

What to study
  • Description of different data formats
  • Using Tidyverse functions to import data into R from external formats
  • Obtaining data from a network API

Skills you will acquire

  • Category: Data Management
  • Category: Data Visualization
  • Category: R Programming
  • Category: Data organization

Data processing in Tidyverse

Course 3

  • 14 hours
  • 4.5 (31 ratings)

Course Details

What to study
  • Using Tidyverse functions to convert unordered data to ordered data
  • Conducting Basic Exploratory Data Analysis
  • Text data analysis

Data visualization in Tidyverse

Course 4

  • 16 hours
  • 4.7 (20 ratings)

Course Details

What to study
  • Distinguishing between different types of graphs and their uses
  • Using the ggplot2 package in R to create data visualizations
  • Building effective data summary tables
  • Create data animations for visual storytelling

Data Models in Tidyverse

Course 5

  • 21 hours

Course Details

What to study
  • Description of different data analysis question types
  • Conduct hypothesis tests on your data
  • Using linear modeling techniques to answer multivariate questions
  • Apply machine learning processes to identify complex patterns in your data

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