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Overview
Through the Tidyverse Skills for Data Science in R, Specialization course offered by Coursera - Johns Hopkins University you'll learn:
Organize a data science project
Import data from common spreadsheet, database, and web-based formats
Wrangle and manipulate messy data and build tidy datasets
Build presentation quality data graphics
Build predictive machine learning models
Skills you'll gain
- Data Management
- Data Analysis
- Data Structures
- Databases
- Data Visualization
- Computer Programming
- Leadership and Management
- Programming Principles
- Regression
- Statistical Programming
- General Statistics
Programme Structure
Courses included:
- Introduction to the Tidyverse
- Importing Data in the Tidyverse
- Wrangling Data in the Tidyverse
- Visualizing Data in the Tidyverse
- Modelling Data in the Tidyverse
Key information
Duration
- Part-time
- 2 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data Data Analytics View 466 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- Familiarity with the R programming language.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
Additional Details
- Coursera Plus: Subscribe to build job-ready skills from world-class institutions.
- $59/month, cancel anytime or $399/year with 14-day money-back guarantee
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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