Online courses directory (112)

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102 votes
Udacity Free Closed [?] Computer Sciences Software Engineering

In this class you will learn how to debug programs systematically, how to automate the debugging process and build several automated debugging tools in Python.

91 votes
Udacity Free Closed [?] Computer Sciences Non-Tech

In this course, you'll hone your problem-solving skills through learning to find numerical solutions to systems of differential equations. You'll write code in Python to fight forest fires, rescue the Apollo 13 astronauts, stop the spread of epidemics, and resolve other real-world dilemmas.

91 votes
Udacity Free Closed [?] Computer Sciences Software Engineering

Understanding how to approach programming problems and devise a solution is an essential skill for any Python developer. In this course, you’ll learn new concepts, patterns, and methods that will expand your coding abilities from programming expert, Peter Norvig.

103 votes
Udacity Free Closed [?] Computer Sciences Data Science Software Engineering Web Development

In this introduction to computer programming course, you’ll learn and practice key computer science concepts by building your own versions of popular web applications. You’ll learn Python, a powerful, easy-to-learn, and widely used programming language, and you’ll explore computer science basics, as you build your own search engine and social network.

Starts : 2015-02-20
22 votes
Coursera Free Computer Sciences English Information Statistics and Data Analysis Tech & Design

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.

Starts : 2013-08-19
108 votes
Coursera Free Closed [?] Computer Sciences English Computer Science Software Engineering

Behind every mouse click and touch-screen tap, there is a computer program that makes things happen. This course introduces the fundamental building blocks of programming and teaches you how to write fun and useful programs using the Python language.

Starts : 2014-09-15
328 votes
Coursera Free Popular Computer Sciences English Computer Science Software Engineering

This course is designed to be a fun introduction to the basics of programming in Python. Our main focus will be on building simple interactive games such as Pong, Blackjack and Asteroids.

No votes
ALISON Free Course Type: diploma Free to Access Mime Type - Scorm 1.2

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.

102 votes
Khan Academy Free Closed [?] Computer Sciences Python Programming

Introduction to programming and computer science. Introduction to Programs Data Types and Variables. Binary Numbers. Python Lists. For Loops in Python. While Loops in Python. Fun with Strings. Writing a Simple Factorial Program. (Python 2). Stepping Through the Factorial Program. Flowchart for the Factorial Program. Python 3 Not Backwards Compatible with Python 2. Defining a Factorial Function. Diagramming What Happens with a Function Call. Recursive Factorial Function. Comparing Iterative and Recursive Factorial Functions. Exercise - Write a Fibonacci Function. Iterative Fibonacci Function Example. Stepping Through Iterative Fibonacci Function. Recursive Fibonacci Example. Stepping Through Recursive Fibonacci Function. Exercise - Write a Sorting Function. Insertion Sort Algorithm. Insertion Sort in Python. Stepping Through Insertion Sort Function. Simpler Insertion Sort Function. Introduction to Programs Data Types and Variables. Binary Numbers. Python Lists. For Loops in Python. While Loops in Python. Fun with Strings. Writing a Simple Factorial Program. (Python 2). Stepping Through the Factorial Program. Flowchart for the Factorial Program. Python 3 Not Backwards Compatible with Python 2. Defining a Factorial Function. Diagramming What Happens with a Function Call. Recursive Factorial Function. Comparing Iterative and Recursive Factorial Functions. Exercise - Write a Fibonacci Function. Iterative Fibonacci Function Example. Stepping Through Iterative Fibonacci Function. Recursive Fibonacci Example. Stepping Through Recursive Fibonacci Function. Exercise - Write a Sorting Function. Insertion Sort Algorithm. Insertion Sort in Python. Stepping Through Insertion Sort Function. Simpler Insertion Sort Function.

No votes
Udacity Free Closed [?] Data Science

The world is trending in real time! Learn from Twitter to scalably process tweets, or any big data stream, in real-time to drive d3 visualizations using Apache Storm, the “Hadoop of Real Time.” Storm is free, open source, and fun to use! Learn from Karthik Ramasamy, Technical Lead of Storm@Twitter, about the distributed, fault-tolerant, and flexible technology used to power Twitter’s real-time data flow pipeline. Twitter open sourced Storm in 2011, and it graduated to a top-level Apache project in September, 2014. Starting from basic distributed concepts presented during our first Udacity-Twitter Storm Hackathon, link Storm concepts to Storm syntax to scalably drive Word Cloud visualizations with Vagrant, Ubuntu, Maven, Flask, Redis, and d3. Link to the public Twitter gardenhose stream to process live tweets, parse embedded URLs, and calculate Top worldwide hashtags. Extend beyond Storm basics by exploring multi-language capabilities in Python, integrate open source components, and implement real-time streaming joins. In your final project, follow real-time trending topics by implementing the data pipeline to visualize only tweets that contain Top worldwide hashtags. Extend your project by exploring the Twitter API, or any data source, alongside Hackathon participants as they design their own ideas, receive feedback from Karthik, and open source a final project calculating real-time tweet sentiment and geolocation to drive a U.S. Map.

No votes
Udacity Free Closed [?] Web Development

As a Python programmer, leveraging Flask allows you to quickly and easily build your own web applications. But before you share your apps on the Internet you should protect your users' data, ensuring information stored on your site is safe from unwanted manipulation. You could implement web security and permissions on your own, but relying on trusted providers is a faster, safer, and easier way to allow users to login to your application - without having to create and maintain another account, profile, and password. In this course, you will learn to implement the OAuth 2.0 framework to allow users to securely login to your web applications. You'll be provided a restaurant menu application created in Flask. By the end of this course, you will write the necessary code to implement Google+ Sign-In and Facebook Login in options so users can create restaurant menus that are viewable by everyone but only modifiable by the original creator.

No votes
Udacity Free Closed [?] Web Development

This course is a quick, fun introduction to using a relational database from your code, using examples in Python. You'll learn the basics of SQL (the Structured Query Language) and database design, as well as the Python API for connecting Python code to a database. You'll also learn a bit about protecting your database-backed web apps from common security problems. After taking this course, you'll be able to write code using a database as a backend to store application data reliably and safely.

Starts : 2015-06-01
No votes
edX Free Closed [?] English Computer Science EdX UC BerkeleyX

Organizations use their data for decision support and to build data-intensive products and services, such as recommendation, prediction, and diagnostic systems. The collection of skills required by organizations to support these functions has been grouped under the term Data Science. This course will attempt to articulate the expected output of Data Scientists and then teach students how to use PySpark (part of Apache Spark) to deliver against these expectations. The course assignments include Log Mining, Textual Entity Recognition, Collaborative Filtering exercises that teach students how to manipulate data sets using parallel processing with PySpark.

This course covers advanced undergraduate-level material. It requires a programming background and experience with Python (or the ability to learn it quickly). All exercises will use PySpark (part of Apache Spark), but previous experience with Spark or distributed computing is NOT required. Students should take this pythonquiz.com">Python mini-quiz before the course and take this PythonBasics">Python mini-course if they need to learn Python or refresh their Python knowledge.
 

No votes
Udacity Free Closed [?]

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.

Starts : 2010-01-01
14 votes
MIT OpenCourseWare (OCW) Free Computer Sciences Electrical Engineering and Computer Science MIT OpenCourseWare Undergraduate

Ever hang your head in shame after your Python program wasn't as fast as your friend's C program? Ever wish you could use objects without having to use Java? Join us for this fun introduction to C and C++! We will take you through a tour that will start with writing simple C programs, go deep into the caves of C memory manipulation, resurface with an introduction to using C++ classes, dive deeper into advanced C++ class use and the C++ Standard Template Libraries. We'll wrap up by teaching you some tricks of the trade that you may need for tech interviews.

We see this as a "C/C++ empowerment" course: we want you to come away understanding

  1. why you would want to use C over another language (control over memory, probably for performance reasons),
  2. why you would want to use C++ rather than C (objects), and
  3. how to be useful in C and C++.

This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Starts : 2011-01-01
14 votes
MIT OpenCourseWare (OCW) Free Computer Sciences Electrical Engineering and Computer Science MIT OpenCourseWare Undergraduate

This course will provide a gentle, yet intense, introduction to programming using Python for highly motivated students with little or no prior experience in programming. The course will focus on planning and organizing programs, as well as the grammar of the Python programming language.

The course is designed to help prepare students for 6.01 Introduction to EECS I. 6.01 assumes some knowledge of Python upon entering; the course material for 6.189 has been specially designed to make sure that concepts important to 6.01 are covered.

This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

No votes
Udacity Free Closed [?] Web Development

You will learn about challenges of building applications that can serve hundreds of thousands of users, and how you can prepare for them as a developer. And more importantly - you will learn how to harness the power of **App Engine** - Platform as a Service, run by Google, so you can focus on your application's features, not on managing infrastructure that runs your app. Let Google run and scale the infrastructure and do what you do best - write code! However, to use App Engine effectively, you have to learn how it works, and this is exactly what this course will teach! You will also learn the best practices of using Cloud Endpoints that allow you to easily create API services and make them accessible to iOS, Android and Javascript clients. They allow you to automatically generate client libraries to make wiring up the frontend easy. And there are some nifty built-in features, like denial-of-service protection and OAuth 2.0 support.

Starts : 2016-01-10
No votes
edX Free English Computer Science EdX Engineering Science UTArlingtonX

Interested in learning a computer programming language but unsure of how and where to begin? This course, Learn to Program Using Python, is a great place to start.

Python is an easy and fun language to learn, and it is now one of the most popular programming languages, suitable for almost any task from developing graphical user interfaces to building web applications.

This course is an introduction to the Python programming language. This course is open to all learners who wish to gain an understanding of the basic components of computer programming. You will learn basic computer programming concepts and terminologies such as variables, constants, operators, expressions, conditional statements, loops, and functions. This Python course includes hands-on exercises to help you understand the components of Python programming while incrementally developing more significant programs. The exercises in this course will be based on small assignments which will relate to real-world problems.

No previous programming knowledge needed.

14 votes
ALISON Free Computer Sciences Course Type: course Free to Access Mime Type - Scorm 1.2

Computer programming skills are now becoming part of basic education as these skills are increasingly of vital importance for future job and career prospects. This free online course introduces you to the core components of programming using the Python programming language which is one of the most popular programming languages worldwide. The course shows you how to use the free open-source PyScripter IDE for Python to write basic programs using concepts such as functions, variables, If Else statements, For loops, While loops, iterative and recursive programs and algorithms such as the Insertion Sort algorithm. This course will be of great interest to all learners who would like to gain a thorough knowledge and understanding of the basic components of computer programming using the Python language – and might be a gentle introduction to programming for those who think they might have a longer term interest in the subject area. <br />

Starts : 2008-09-01
9 votes
MIT OpenCourseWare (OCW) Free Computer Sciences Biological Engineering Graduate MIT OpenCourseWare

This course teaches the design of contemporary information systems for biological and medical data. Examples are chosen from biology and medicine to illustrate complete life cycle information systems, beginning with data acquisition, following to data storage and finally to retrieval and analysis. Design of appropriate databases, client-server strategies, data interchange protocols, and computational modeling architectures. Students are expected to have some familiarity with scientific application software and a basic understanding of at least one contemporary programming language (e.g. C, C++, Java, Lisp, Perl, Python). A major term project is required of all students. This subject is open to motivated seniors having a strong interest in biomedical engineering and information system design with the ability to carry out a significant independent project.

This course was offered as part of the Singapore-MIT Alliance (SMA) program as course number SMA 5304.