Online courses directory (121)
This course explores the role of computation in the conception and representation of shape and form. With a recognition that artists, architects and designers learn best when creating new work, programming will be taught as a creative medium. In the Python language, students will develop, analyze and critique algorithmic approaches to digital drawing, modeling, and projection. Specifically, the powerful, robust, and well-documented Python Rhinoscript library will be introduced and explored in detail. This API allows Rhinoceros modeling software to be scripted with text-based code. Scripting in this manner can automate existing processes and can lead to novel kinds, relationships, and orders of shape and form. Architects, sculptors, and any artists or designers interested in the either fabrication or communication of form and shape will recognize the importance of projection–the the transformation of three-dimensional geometry onto a two-dimensional picture plane, cut sheet, paper or screen. As a result, this course focuses not only on the generation of geometry, but the output of geometry. In parallel to extending students' technical proficiency, this course will touch on the conceptual and theoretical implications of algorithmic design. Each of the five lessons will build upon each other to develop an understanding of the Python language, algorithmic strategies, and digital geometric craft (the interrelated structures and topologies that make up digital models). Beginning with the most primitive geometric element–the point–the course will build curves in two and three dimensions, organize those curves to function as the input for methods that generate surfaces. Subsequently, the course will return to the realm of drawing as surfaces will be used to generate lines and curves in concert with orthographic and perspective projection.
In this course you'll learn the basic Linux fundamentals every web developer needs to know to share their web applications with the world! You'll get a basic Python WSGI application up and running within a Vagrant virtual machine that queries data from a PostgreSQL database. You'll start by exploring various Linux distributions and learning the differences between a number of them. You'll then explore how the Linux operating system differs from other operating systems you may be more familiar with. With this base knowledge, you'll then move into Linux security - covering topics such as file permissions, user management, package management and configuring firewalls. Finally, you'll transform a safe and secure baseline server into a web application server by installing and configuring the Apache HTTP Server and PostgreSQL database server.
Looking to get started with computer science while learning to program in Python?
This computer science course provides an introduction to computer science that’s both challenging and fun. It takes a broad look at the field of computer science through a variety of demonstrations and projects. We’ll cover both low- and high-level concepts, from how the circuits inside a computer represent data to how to design algorithms, as well as how all of this information affects the technology we use today. Additionally, we’ll teach the basics of Python programming, giving us a a way to put our new CS knowledge into practice.
No need to know any programming before starting the course; we’ll teach everything you need to know along the way. All you need to start is a good grasp of algebra, and you can fall in love with both the concepts and the practice of computer science.
EX101x is for all of those struggling with data analysis. That crazy data collection from your boss? Megabytes of sensor data to analyze? Looking for a smart way visualize your data in order to make sense out of it? We’ve got you covered!
Using video lectures and hands-on exercises, we will teach you cutting-edge techniques and best practices that will boost your data analysis and visualization skills.
We will take a deep dive into data analysis with spreadsheets: PivotTables, VLOOKUPS, Named ranges, what-if analyses, making great graphs - all those will be covered in the first weeks of the course. After that, we will investigate the quality of the spreadsheet model, and especially how to make sure your spreadsheet remains error-free and robust.
Finally, once we have mastered spreadsheets, we will demonstrate other ways to store and analyze data. We will also look into how Python, a programming language, can help us with analyzing and manipulating data in spreadsheets.
EX101x is created using Excel 2013 and Windows. Most assignments can be made using another spreadsheet program and operating system as well, but we cannot offer full support for all configurations.
The goal of this course is to help you to overcome data analysis challenges in your work, research or studies. Therefore we encourage you to participate actively and to raise real data analysis problems that you face in our discussion forums.
This course is part of the Data Analysis XSeries.
The course materials of this course are Copyright Delft University of Technology and are licensed under a Creative Commons Attribution-NonCommercial-
Please note that the verified certificate option is not currently open for this course. Please enroll in the audit track and you will be emailed when the verified certificate option is open for enrollment.
Businesses, consumers, and societies leave behind massive amounts of data as a by-product of their activities. Leading-edge companies in every industry are using analytics to replace intuition and guesswork in their decision-making. As a result, managers are collecting and analyzing enormous data sets to discover new patterns and insights and running controlled experiments to test hypotheses.
This course, part of the Analytics: Essential Tools and Methods MicroMasters program, prepares you to understand data and business analytics and become a leader in these areas in business organizations.
It covers the methodologies, algorithms, issues, and challenges related to analyzing business data. It will illustrate the processes of analytics by allowing you to apply business analytics algorithms and methodologies to real-world business datasets from finance, marketing, and operations. The use of real-world examples and cases places business analytics techniques in context and teaches you how to avoid the common pitfalls, emphasizing theimportance of applying proper business analytics techniques.
In addition to cases, this course features hands-on experiences with data collection, analysis, and visualization using Python programs and analytics software such as SAS.
This course includes a significant analytics project.
This course is part of the Microsoft Professional Program Certificate in Data Science.
Demand for data science talent is exploding. Develop your career as a data scientist, as you explore essential skills and principles with experts from Duke University and Microsoft.
In this data science course, you will learn key concepts in data acquisition, preparation, exploration, and visualization taught alongside practical application oriented examples such as how to build a cloud data science solution using Microsoft Azure Machine Learning platform, or with R, and Python on Azure stack.
Machine learning uses computers to run predictive models that learn from existing data to forecast future behaviors, outcomes, and trends. Deep learning is a sub-field of machine learning, where models inspired by how our brain works are expressed mathematically, and the parameters defining the mathematical models, which can be in the order of few thousands to 100+ million, are learned automatically from the data.
Deep learning is a key enabler of AI powered technologies being developed across the globe. In this deep learning course, you will learn an intuitive approach to building complex models that help machines solve real-world problems with human-like intelligence. The intuitive approaches will be translated into working code with practical problems and hands-on experience. You will learn how to build and derive insights from these models using Python Jupyter notebooks running on your local Windows or Linux machine, or on a virtual machine running on Azure. Alternatively, you can leverage the Microsoft Azure Notebooks platform for free.
This course provides the level of detail needed to enable engineers / data scientists / technology managers to develop an intuitive understanding of the key concepts behind this game changing technology. At the same time, you will learn simple yet powerful “motifs” that can be used with lego-like flexibility to build an end-to-end deep learning model. You will learn how to use the Microsoft Cognitive Toolkit — previously known as CNTK — to harness the intelligence within massive datasets through deep learning with uncompromised scaling, speed, and accuracy.
In this free online course Diploma in Python Programming you will learn about the concepts of programming using the Python language. You will learn about creating variables and storing different types of data in them. You will learn about working with dates and time, making decisions with your code and using loops. You will learn about saving and reading files with your program. You will learn about creating functions and handling errors with your code.<br /><br />The course begins by introducing you to the concepts of programming. You will learn about creating your first Python program with Visual Studio. You will learn about commenting in your code and displaying text on screen. You will learn about how Python accepts multiple ways of containing a text string. You will learn about variables and the rules and guidelines for creating variables. You will learn about manipulating variables using built in functions, and briefly what functions are. You will learn about Visual Studio’s IntelliSense feature and its helpfulness when programming. <br /><br />Next, you will learn about storing numeric variables and their difference to string variables. You will learn about performing mathematical operations in your code. You will learn about formatting numbers and converting string variables to numeric variables. You will learn about working with date and time, displacing dates and getting today's date using functions. You will learn about formatting dates and importing libraries to help with the formatting. You will learn about working with time and how to reuse the same functions to format time as you did dates.<br /><br />Next, you will learn about how you code check conditions and make decisions with the if statement. You will learn about the constraints for checking an if statement and how there are generally two different ways to write every if statement. You will learn about using the elif statement for checking multiple conditions. You will learn about combining conditions using logic operations and nesting if statements.<br /><br />Next, you will learn about the concepts of loops, and using the turtle library to draw on screen. You will learn about creating and using for loops. You will also learn about creating and using while loops, and the differences between for and while loops. You will learn about common mistakes made when using loops. <br /><br />Next, you will learn about using and creating lists to store multiple values. You will learn about how to modify and delete from your list. You will learn about searching a list and sorting it. You will learn about creating and writing to files. You will learn about closing the file after your finished using it. You will learn about opening files and reading data from them. You will learn about csv files and what they are. <br /><br />Finally, you will learn about what functions are and how to create functions. You will learn about passing parameters in to your functions and why you should use functions. You will learn what types of errors can occur and how to handle errors. You will learn how to use the try/except statement to handle possible errors and get information on errors that occurred. You will learn how to save functions in a separate file and import them into your main program file as you need them.<br /><br />This free Alison course will be of great interest to those learners who wish to get started in programming and improve their ability to write programs using the Python programming language.
This class covers the history of 20th century art and design from the perspective of the technologist. Methods for visual analysis, oral critique, and digital expression are introduced. Class projects this term use the OLPC XO (One Laptop Per Child) laptop, Csound and Python software.
Programming-oriented course on effectively using modern computers to solve scientific computing problems arising in the physical/engineering sciences and other fields. Provides an introduction to efficient serial and parallel computing using Fortran 90, OpenMP, MPI, and Python, and software development tools such as version control, Makefiles, and debugging.
This course is intended for budding full-stack web developers to master the basics of HTTP, the protocol that underlies all web technology. In this course, you'll explore HTTP directly, talking with web servers and browsers by hand. You'll write and deploy low-level web applications in Python. And you'll learn more about how HTTP connects with other web technologies.
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