Coursera – Data Science Specialization (All 10 Courses) 2020-5

Description

Data Science Specialization is a data collection offered by Johns Hopkins University that deals with data science. Data science is interdisciplinary knowledge that is used to extract the required data and information from one or more datasets. Many different fields of science such as mathematics, statistics, data engineering and use this science to extract various data.

The Data Science Specialization suite includes the concepts and tools you need to learn in data science, from asking the right types of questions to drawing inferences and publishing results. In this course, you will learn the skills needed by building a data set using real-world data. In this tutorial, you will also learn the R programming language for working with data and GitHub for project management.

Items that are taught in this course

Use R programming language to clean, analyze and display data

Show the whole path of data science from information acquisition to dissemination

Use GitHub to manage data science projects

Perform regression analysis, least squares and inferences using regression models

Course information

Publisher: Coursera

University: John Hopkins

Instructors: Jeff Leek, Roger D. Peng, Brian Caffo

Elementary level

Number of courses: 5 courses

English language

Courses offered within the collection

1. The Data Scientists Toolbox

2. R Programming

3. Getting and Cleaning Data

4. Exploratory Data Analysis

5. Reproducible Research

6. Statistical Inference

7. Regression Models

8. Practical Machine Learning

9. Developing Data Products

10. Data Science Capstone

Photos

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