EdX

Data Science Tools (edX)

Offered by IBM,
Data Science Tools (edX)

Learn about the most popular data science tools, including how to use them and what their features are. In this course, you'll learn about Data Science tools like Jupyter Notebooks, RStudio IDE, and Watson Studio. You will learn what each tool is used for, what programming languages they can execute, their features and limitations and how data scientists use these tools today.

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

With the tools hosted in the cloud, you will be able to test each tool and follow instructions to run simple code in Python or R. To complete the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio on Cloud and demonstrate your proficiency in preparing a notebook, writing Markdown, and sharing your work with your peers.
This hands-on course will get you up and running with some of the latest and greatest data science tools.
This course is part of the following programs:

What you'll learn

  • How to use various data science and data visualization tools hosted on Skills Network Labs
  • How to use Jupyter Notebooks including its features and why it's so popular
  • Popular tools used by R Programmers including RStudio IDE
  • IBM Watson Studio including its features and capabilities
  • How to create and share a Jupyter Notebook
Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Visualizing Data with R (edX) EdX
IBM

Visualizing Data with R (edX)

Learn about the ggplot2 data visualization package for R, creating map plots with geolocation data using Leaflet, and interactive dashboards to display your work on the web using the R Shiny package! In this course, you will learn about the Grammar of Graphics, a system for describing and building graphs, and how the ggplot2 data visualization package for R applies this concept to basic bar charts, histograms, pie charts, scatter plots, line plots, and box plots.

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

Data Science: Probability (edX)

Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008. In this course, you will learn valuable concepts in probability theory. The motivation for this course is the circumstances surrounding the financial crisis of 2007–2008. Part of what caused this financial crisis was that the risk of some securities sold by financial institutions was underestimated. To begin to understand this very complicated event, we need to understand the basics of probability.

Self Paced
Self-Paced
Fundamentals of TinyML (edX) EdX
HarvardX,Harvard University

Fundamentals of TinyML (edX)

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML. What do you know about TinyML? Tiny Machine Learning (TinyML) is one of the fastest-growing areas of Deep Learning and is rapidly becoming more accessible. This course provides a foundation for you to understand this emerging field.

Self Paced
Self-Paced
SQL for Data Science (edX) EdX
IBM

SQL for Data Science (edX)

Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field. Much of the world's data lives in databases. SQL (or Structured Query Language) is a powerful programming language that is used for communicating with and extracting various data types from databases.

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

Python for Data Science (edX)

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
Introduction to Data Science and Basic Statistics for Business (edX) EdX
Tecnológico de Monterrey,TecdeMonterreyX

Introduction to Data Science and Basic Statistics for Business (edX)

In this course you will acquire statistical methods for decision making in business, as well as technological tools to develop quantitative skills. Areas such as " big data" require very clear knowledge of statistics and business, technology provides us various applications that require solid training in statistics for proper use and interpretation .

Self Paced
Self-Paced
Excel for Everyone: Core Foundations (edX) EdX
The University of British Columbia,UBCx

Excel for Everyone: Core Foundations (edX)

Learn Excel fundamentals including data wrangling, spreadsheet management, and basic data analysis. This introductory Excel course will equip you with a strong foundational knowledge of Excel to organize, analyze and work with data. You will develop essential Excel skills, such as simple data wrangling and managing spreadsheets, along with a foundational understanding of business data analysis.

Self Paced
Self-Paced
RShiny for Everyone (edX) EdX
Davidson College,DavidsonX

RShiny for Everyone (edX)

Use R’s Shiny package to create data-driven, interactive web applications. In this course, you will use R Shiny to create an interactive web application that highlights the biodiversity of America’s National Parks. Your application will feature an interactive map, biodiversity calculator, trail journal and species images. Using R Shiny, you will expand your data analysis and visualization skills while developing your workflow through web application deployment.

Self Paced
Self-Paced
Python for Data Engineering Project (edX) EdX
IBM

Python for Data Engineering Project (edX)

An opportunity to apply your foundational Python skills via a project, using various techniques to collect and work with data. Journey into the realm of becoming a Data Engineer and apply your basic Python knowledge of working with data. You will exercise various techniques in Python to extract data in multiple file formats from different sources, transform it into specific datatypes, and then prepare it for loading it into a database.

Self Paced
Self-Paced
Data Science and Machine Learning Capstone Project (edX) EdX
IBM

Data Science and Machine Learning Capstone Project (edX)

Create a project that you can use to showcase your Data Science skills to prospective employers. Apply various data science and machine learning techniques to analyze and visualize a data set involving a real life business scenario and build a predictive model. Now that you've taken several courses on data science and machine learning, it’s time to put your learning to work on a data problem involving a real life scenario. Employers really care about how well you can apply your knowledge and skills to solve real world problems, and the work you do in this capstone project will make you stand out in the job market.

Self Paced
Self-Paced