EdX

Computing for Data Analysis (edX)

Offered by Georgia Institute of Technology, GTx,
Computing for Data Analysis (edX)

A hands-on introduction to basic programming principles and practice relevant to modern data analysis, data mining, and machine learning. The modern data analysis pipeline involves collection, preprocessing, storage, analysis, and interactive visualization of data. In the course, you’ll see how computing and mathematics come together.

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

For instance, “under the hood” of modern data analysis lies numerical linear algebra, numerical optimization, and elementary data processing algorithms and data structures. Together, they form the foundations of numerical and data-intensive computing.
The hands-on component of this course will develop your proficiency with modern analytical tools. You will learn how to mash up Python, R, and SQL through Jupyter notebooks, among other tools. Furthermore, you will apply these tools to a variety of real-world datasets, thereby strengthening your ability to translate principles into practice.
This course is part of the Analytics: Essential Tools and Methods MicroMasters.

What you'll learn
The goal of this course, part of the Analytics: Essential Tools and Methods MicroMasters program, is for you to learn how to build these components and connect them using modern tools and techniques.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

HTML5 Apps and Games (edX) EdX
World Wide Web Consortium - W3C,W3Cx

HTML5 Apps and Games (edX)

CS: Software Engineering CS: Programming

Today, developers are increasingly moving from native to HTML5-based apps. Increase your ability to design and deliver innovative services on the Web! Want to learn advanced HTML5 tips and techniques? This is the course for you! Find out more about the powerful Web features that will help you create great content and apps.

Self Paced
Self-Paced
Programming HTML5 Applications Development
Details
Analytics for Decision Making (edX) EdX
Babson College

Analytics for Decision Making (edX)

Management & Leadership Statistics & Data Analysis

Discover the foundational concepts that support modern data science and learn to analyze various data types and quality to make smart business decisions. Want to know how to avoid bad decisions with data? Making good decisions with data can give you a distinct competitive advantage in business. This statistics and data analysis course will help you understand the fundamental concepts of sound statistical thinking that can be applied in surprisingly wide contexts, sometimes even before there is any data! Key concepts like understanding variation, perceiving relative risk of alternative decisions, and pinpointing sources of variation will be highlighted.

Self Paced
Self-Paced
Data Analysis Decision Making Analytics
Details
How to Code: Complex Data (edX) EdX
The University of British Columbia,UBCx

How to Code: Complex Data (edX)

CS: Software Engineering Data Science

Learn how to design more complex programs, using new data structures, abstraction, and generative recursion. As your program requirements get more complex, you will find that simple additions to the design method make it easy to write well-structured and well-tested code that is easy to maintain. By learning how to capture common data and control structures using abstraction, your programs will get shorter and better tested.

Self Paced
Self-Paced
Programming Data Structures Software Development
Details
HTML5 Coding Essentials and Best Practices (edX) EdX
World Wide Web Consortium - W3C,W3Cx

HTML5 Coding Essentials and Best Practices (edX)

CS: Software Engineering CS: Programming

Learn how to write Web pages and Web sites by mastering HTML5 coding techniques and best practices. HTML5 is the standard language of the Web, developed by W3C. For application developers and industry, HTML5 represents a set of features that people will be able to rely on for years to come. HTML5 is supported on a wide variety of devices, lowering the cost of creating rich applications to reach users everywhere.

Self Paced
Self-Paced
Programming HTML5 Coding
Details
Case Studies in Functional Genomics (edX) EdX
HarvardX,Harvard University

Case Studies in Functional Genomics (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor. We will explain how to perform the standard processing and normalization steps, starting with raw data, to get to the point where one can investigate relevant biological questions.

Self Paced
Self-Paced
Data Analysis Biological Data Genomics
Details
Introducción al desarrollo de aplicaciones web (edX) EdX
Universidad Autonoma de Madrid

Introducción al desarrollo de aplicaciones web (edX)

Engineering Computer Science

Aprende a desarrollar una aplicación web desde cero con diferentes tecnologías como HTML, CSS, Python, JSON, JavaScript y Ajax. Hoy en día utilizamos la web para todo tipo de tareas: buscar un vuelo, comprar entradas, ver el pronóstico meteorológico, leer noticias, etc. Todo esto es posible gracias a las aplicaciones web creadas para darnos estos servicios.

Self Paced
Self-Paced
Python HTML Javascript
Details
Introduction to Linear Models and Matrix Algebra (edX) EdX
HarvardX,Harvard University

Introduction to Linear Models and Matrix Algebra (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

Learn to use R programming to apply linear models to analyze data in life sciences. Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional data. In this introductory data analysis course, we will use matrix algebra to represent the linear models that commonly used to model differences between experimental units. We perform statistical inference on these differences. Throughout the course we will use the R programming language.

Self Paced
Self-Paced
Algebra Linear Algebra Matrix
Details
High-Dimensional Data Analysis (edX) EdX
HarvardX,Harvard University

High-Dimensional Data Analysis (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

A focus on several techniques that are widely used in the analysis of high-dimensional data. If you’re interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction and multi-dimensional scaling and its connection to principle component analysis.

Self Paced
Self-Paced
Machine Learning Clustering Data Analysis
Details
Introducción a la programación en C: Funciones y punteros (edX) EdX
Universidad Autonoma de Madrid

Introducción a la programación en C: Funciones y punteros (edX)

Engineering Computer Science

En este curso aprenderás cómo hacer programas modulares a través de funciones y punteros en el lenguaje de programación C, uno de los más utilizados. Este curso en línea te permitirá aprender más conceptos para ampliar tus habilidades de programación en el lenguaje C. Ahora resolveremos los problemas de forma modular, dividiendo el código en pequeñas partes definidas como funciones.

Self Paced
Self-Paced
Programming C Language Functions
Details