EdX

Introduction to Data Science (edX)

Offered by IBM,
Introduction to Data Science (edX)

Learn about the world of data science first-hand from real data scientists. The art of uncovering the insights and trends in data has been around for centuries. The ancient Egyptians applied census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science and in this course, you will meet some big data science practitioners and we will get an overview of what data science is today.
This course is part of the following programs:

What you'll learn

  • Definition of data science and what data scientists
  • Tools and algorithms used on a daily basis within the field
  • Skills needed to be a successful data scientist
  • The role of data science within a business
  • How to form a strong data science team
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Digital Humanities in Practice: From Research Questions to Results (edX) EdX
HarvardX,Harvard University

Digital Humanities in Practice: From Research Questions to Results (edX)

Humanities

Combine literary research with data science to find answers in unexpected ways. Learn basic coding tools to help save time and draw insights from thousands of digital documents at once. In this course, you’ll work on building parts of a search engine, one tailor-made to the needs of academic research. Along the way, you'll learn the fundamentals of text analysis: a set of techniques for manipulating the written word that stand at the core of the digital humanities.

Self Paced
Self-Paced
Public Speaking Research Data Science
Details
Data Science and Agile Systems for Product Management (edX) EdX
University of Maryland, College Park,University System of Maryland - USM,USMx,UMD

Data Science and Agile Systems for Product Management (edX)

Management & Leadership CS: Design & Product

Deliver faster, higher quality, and fault-tolerant products regardless of industry using the latest in Agile, DevOps, and Data Science. Modern systems today must be designed for agility in order to outpace the competition. Concepts like Agile, DevOps, and Data Science were once considered only for the technology-based companies. Today that means every company. Because there is no greater currency than timely information for optimizing operations and meeting the needs of customers.

Self Paced
Self-Paced
Agile Data Science Product Management
Details
Python for Data Science (edX) EdX
University of California, San Diego,UC San DiegoX

Python for Data Science (edX)

Statistics & Data Analysis CS: Programming

Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets. In the information age, data is all around us. Within this data are answers to compelling questions across many societal domains (politics, business, science, etc.). But if you had access to a large dataset, would you be able to find the answers you seek?

Self Paced
Self-Paced
Programming Python Machine Learning
Details
R Data Science Capstone Project (edX) EdX
IBM

R Data Science Capstone Project (edX)

Statistics & Data Analysis

Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets. In this capstone course, you will apply various data science skills and techniques that you have learned as part of the previous courses in the IBM Data Science with R or IBM Data Analytics with Excel and R Professional Certificate Programs.

Self Paced
Self-Paced
Statistics Data Analysis Linear Regression
Details
Introduction to Probability (edX) EdX
HarvardX,Harvard University

Introduction to Probability (edX)

Statistics & Data Analysis

Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty. Probability and statistics help to bring logic to a world replete with randomness and uncertainty. This course will give you tools needed to understand data, science, philosophy, engineering, economics, and finance.

Self Paced
Self-Paced
Data Probability Randomness
Details
Data Science: Wrangling (edX) EdX
HarvardX,Harvard University

Data Science: Wrangling (edX)

Statistics & Data Analysis Data Science

Learn to process and convert raw data into formats needed for analysis. In this course, we cover several standard steps of the data wrangling process like importing data into R, tidying data, string processing, HTML parsing, working with dates and times, and text mining. Rarely are all these wrangling steps necessary in a single analysis, but a data scientist will likely face them all at some point.

Self Paced
Self-Paced
Data Science Data Wrangling Text Mining
Details