Endorsed by
Coursera 4.3 (9)
Overview
What 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 Science
- Data Analysis Software
- Data Visualization
- R Programming
- Predictive Modelling
Get more details
Visit programme websiteProgramme 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
Check out the full curriculum
Visit programme websiteKey information
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Data Science & Big Data Data Analytics View 177 other Short Courses in Data Analytics in United StatesExplore more key information
Visit programme websiteAcademic 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
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme
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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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