• Anytime
    Application Deadline
  • 8 months
    Duration
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Overview

Ask the right questions, manipulate data sets, and create visualizations to communicate results.

This Data Science is offered by Coursera in partnership with Johns Hopkins University covers the concepts and tools you'll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.

What you will learn

  • Use R to clean, analyze, and visualize data.
  • Navigate the entire data science pipeline from data acquisition to publication.
  • Use GitHub to manage data science projects.
  • Perform regression analysis, least squares and inference using regression models.

Detailed Programme Facts

Programme Structure

Courses include:

  • The Data Scientist’s Toolbox
  • R Programming
  • Getting and Cleaning Data
  • Exploratory Data Analysis
  • Reproducible Research
  • Statistical Inference

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

Beginner Level

  • You should have beginner level experience in Python. Familarity with regression is recommended.

Tuition Fee

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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. 

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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