Online courses directory (121)

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9 votes
Udemy $10 Closed [?] Technology

Mine Twitter data with basic Python tools and pragmatic storage technologies such as Redis and CouchDB.

9 votes
Udemy $50 Closed [?] Technology

Mongo Db - json - jsonp - python - Nosql - non relational databases - c charp - c - c++ - mongodb - asp- php - mysql

Starts : 2006-02-01
14 votes
MIT OpenCourseWare (OCW) Free Computer Sciences Electrical Engineering and Computer Science Graduate MIT OpenCourseWare

This course is broad, covering a wide range of topics that have to do with the post-pc era of computing. It is a hands-on project course that also includes some foundational subjects. Students will program iPAQ handheld computers, cell phones (series 60 phones), speech processing, vision, Cricket location systems, GPS, and more. Most of the programming will be using Python®, but Python® can be learned and mastered during the course.

This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5508 (Pervasive Computing).

No votes
OLI. Carnegie Mellon University Free Computer Sciences Carnegie Mellon University Open Learning Initiative

This course provides an introduction to Python and elementary principles of computing, including iteration, recursion, and binary representation of data. Additional topics on cellular automata, encryption, and the limits of computation are also introduced. The goal of this course is to introduce some of the techniques used in computer science to solve complex problems, with or without a computer. The Python modules are used to introduce and illustrate conditionals and iteration; additional topics are provided without using a specific programming language and can be incorporated into classes that do not use Python.

Starts : 2017-07-01
No votes
edX Free Closed [?] English Computer Science Data Analysis & Statistics EdX Microsoft

This course is part of the Microsoft Professional Program Certificate in Data Science.

Machine learning uses computers to run predictive models that learn from existing data in order to forecast future behaviors, outcomes, and trends.

In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using R, Python, and Azure Machine Learning.

No votes
Udemy $79 Closed [?] Technology

Imparare a utilizzare il linguaggio di programmazione Python passo per passo.

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

In the free online course Programming Concepts with Python you will learn about programming concepts using the Python programming language. You will learn how to display text on screen and about reading user input into your program. You will also learn about creating variables and manipulating them using functions. You will learn that everyone makes mistakes when programming and you are shown solutions to help you find and fix those mistakes.<br /><br />The course begins by introducing you to what programming is and the possibilities of what you can create with programming. You will learn about the advantages of using Python to start learning how to program and you will be introduced to creating a Python project in Visual Studio. <br /><br />Next, the course teaches you about displaying text on screen using the print function. You will learn about the different variation of quotes that Python uses to contain your text, and how to get the user to input data. The course then introduces you to variables, what they are and how to create them. You will learn about manipulating variables using built-in functions. Finally, you will learn about Visual Studio's built-in feature called IntelliSense and its features and functions that will help you with your programming.<br /><br />This free Alison course will be of great interest to all learners who would like to learn about programming concepts and how to write their own programs using the Python programming language.<br />

Starts : 2015-10-05
1 votes
Coursera Free English Computer Science Information Software Engineering Tech & Design

This course aims to teach everyone to learn the basics of programming computers using Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course.

No votes
Udacity Free Closed [?] Software Engineering Web Development

In this introductory programming class, you’ll learn Object-Oriented Programming, a must-have technique for software engineers that will allow you to reuse and share code easily. You’ll learn by doing, and will build byte-sized (ha!) mini projects in each lesson to learn and practice programming concepts. We’ve heard that programming can be intimidating for newcomers, and we’ve created this course to make sure that you have a great learning experience! You’ll learn ***actively*** with our mini projects (see the awesome list below), which you’ll be able to share proudly with your friends. You’ll also learn important programming concepts one by one, with no surprises or leaps of logic along the way. You’ll pick up some great tools for your programming toolkit in this course! You will: - Start coding in the programming language Python; - Reuse and share code with Object-Oriented Programming; - Create and share amazing, life-hacking projects! This introductory course is for you if you want to be a software engineer, or if you want to collaborate with programmers. Mastering Object-Oriented Programming will propel your career in tech forward, and it’s also a great way to learn how software engineers think about solving problems. This course is also a part of our Full Stack Web Developer Nanodegree.

Starts : 2017-07-01
No votes
edX Free Closed [?] English Computer Science Data Analysis & Statistics EdX Microsoft

This course is part of the Microsoft Professional Program Certificate in Data Science.

This practical course, developed in partnership with Coding Dojo, targets individuals who have introductory level Python programming experience. The course teaches students how to start looking at data with the lens of a data scientist by applying efficient, well-known mining models in order to unearth useful intelligence, using Python, one of the popular languages for Data Scientists. Topics include data visualization, feature importance and selection, dimensionality reduction, clustering, classification and more! All of the data sets used in this course are gathered live-data or inspired by real-world domains that can benefit from machine learning.

No votes
Udemy $19 Closed [?] Technology

Una forma practica de aprender rapidamente el "lenguaje de Google", desde lo mas básico hasta lo sofisticado

16 votes
Udemy $99 Closed [?]

Learn Python Programming on the Mac or PC with "Python for Beginners" Python training course.

Starts : 2017-06-01
No votes
edX Free Closed [?] English Computer Science Data Analysis & Statistics EdX UC San DiegoX

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?

This course, part of the Data Science MicroMasters program, will introduce you to a collection of powerful, open-source, tools needed to analyze data and to conduct data science. Specifically, you’ll learn how to use:

  • python
  • jupyter notebooks
  • pandas
  • numpy
  • matplotlib
  • git
  • and many other tools.

You will learn these tools all within the context of solving compelling data science problems.

After completing this course, you’ll be able to find answers within large datasets by using python tools to import data, explore it, analyze it, learn from it, visualize it, and ultimately generate easily sharable reports. 

By learning these skills, you’ll also become a member of a world-wide community which seeks to build data science tools, explore public datasets, and discuss evidence-based findings. Last but not least, this course will provide you with the foundation you need to succeed in later courses in the Data Science MicroMasters program.

Starts : 2015-12-07
No votes
Coursera Free Closed [?] English Biology & Life Sciences Computer Science Health & Society Statistics and Data Analysis Theory

This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.

This is a course to teach basic Python programming skills through data analysis. The book and course materials are all free and licensed as Creative Commons. There is no complex math in...

No votes
Udemy $29 Closed [?] Technology

Learn the basics of the legendary Python 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
ALISON Free Course Type: course Free to Access Mime Type - Scorm 1.2

In this free online course Python Programming - Working with Complex Decisions and Events you will learn about creating and using if statements, and checking multiple conditions using elif statements. You will also learn about creating and using for loops and while loops, and the mistakes that can happen when creating and using loops.<br /><br />The course begins by introducing you to if statements which are used to check conditions and make decisions with your code. You will learn about the constraints when checking your if statements, different ways to write an if statement and using the else statement for when the if statement in not true. You will learn about adding an if statement to check multiple conditions with the elif statement. You will also learn how to order elif and if statements for your code to work correctly, and how to combine conditions with the logic operators and &amp; or.<br /><br />Next, you will learn about loops and how to create a for loop. You will learn about nesting loops in loops and using a variable as the condition in the loop. You will learn about accessing the loop values and manually assigning values for each step in the loop. <br /><br />Finally, you will learn about creating and constructing while loops. You will learn about how a while loop functions. You will learn the difference between using a for and while loop as well as mistakes that can happen when you use loops in your code.<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.<br /><br />Prerequisites: You should have completed the previous two courses on programming with Python: 'Programming Concepts with Python' and 'Python Programming - Working with Numbers, Dates and Time'.<br />

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

In this free online course Python Programming - Working with Functions and Handling Errors you will learn about functions, how to create your own functions and how to use them. You will also learn about errors that can occur in your code. You will learn about using the try/ except statement to handle potential errors.<br /><br />The course begins by introducing you to functions and you will learn how to create your own functions and how to pass parameters into your functions.<br /><br />Next, you will learn about what type of errors you can get and about different methods for handling errors. You will learn about using the try/except statement to test pieces of code that may cause an error.<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.<br /><br />Prerequisites: You will need to have completed the previous courses on programming with Python: 'Programming Concepts with Python', 'Python Programming - Working with Numbers, Dates and Time', 'Python Programming - Working with Complex Decisions and Events' and 'Python Programming - Working with Lists and Files'.<br />

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

In this free online course Python Programming - Working with Lists and Files you will learn about creating and modifying lists, creating files and saving data to those files. You will also learn about reading data form files along with what csv files are and getting data from them.<br /><br />The course begins by introducing you to lists. You will learn about creating lists, both empty lists and lists with values in them. You will learn about how to add data to your lists, updating and deleting items on your list, and searching through your lists.<br /><br />Next, you will learn how to create a file with your code, and how to write data to your file. You will learn how to close the file after your code is finished using it. You will also learn what csv files are, and the process of opening and reading data from files. You will learn about importing the csv library to help with reading data from csv files, and about taking the data from your csv file and putting it in a list.<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.<br /><br />Perquisites: Your will need to have completed the previous courses on programming with Python: 'Programming Concepts with Python', 'Python Programming - Working with Numbers, Dates and Time' and 'Python Programming Working with Complex Decisions and Events'.

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