Mooc - Blog Posts

Free Online Language Courses

Here is a masterpost of MOOCs (massive open online courses) that are available, archived, or starting soon. I think they will help those that like to learn with a teacher or with videos.  You can always check the audit course or no certificate option so that you can learn for free.

American Sign Language

ASL University

Arabic

Arabic for Global Exchange (in the drop down menu)

Arabic Without Walls

Intro to Arabic

Madinah Arabic

Moroccan Arabic

Catalan Sign Language

Intro to Catalan Sign Language

Chinese

Beginner

Basic Chinese

Basic Chinese I. II, III, IV , V

Basic Mandarin Chinese I & II

Beginner’s Chinese

Chinese for Beginners

Chinese Characters

Chinese for HSK 1

First Year Chinese I &  II

HSK Level 1

Mandarin Chinese I

Mandarin Chinese for Business

More Chinese for Beginners

Start Talking Mandarin Chinese

UT Gateway to Chinese

Chino Básico (Taught in Spanish)

Intermediate

Chinese Stories

Intermediate Business Chinese

Intermediate Chinese

Intermediate Chinese Grammar

Dutch

Introduction to Dutch

English

Online Courses here

Resources Here

Faroese

Faroese Course

Finnish

A Taste of Finnish

Basic Finnish

Finnish for Immigrants

Finnish for Medical Professionals

French

Beginner

AP French Language and Culture

Basic French Skills

Beginner’s French: Food & Drink

Diploma in French

Elementary French I & II

Français Interactif

French in Action

French for Beginners

French Language Studies I, II, III

French:Ouverture

Intermediate

French: Le Quatorze Juillet

Passe Partout

Advanced

La Cité des Sciences et de Industrie

Reading French Literature

Frisian

Introduction to Frisian (Taught in English)

Introduction to Frisian (Taught in Dutch)

German

Beginner

Basic German

Beginner’s German: Food & Drink

Conversational German I, II, III, IV

Deutsch im Blick

Diploma in German

Rundblick-Beginner’s German

Advanced

German:Regionen Traditionen und Geschichte

Landschaftliche Vielfalt

Reading German Literature

Hebrew

Alphabet Crash Course

Know the Hebrew Alphabet

Hindi

A Door into Hindi

Business Hindi

Virtual Hindi

Icelandic

Icelandic 1-5

Indonesian

Learn Indonesian

Irish

Introduction to Irish

Italian

Beginner

Beginner’s Italian: Food & Drink

Beginner’s Italian I

Introduction to Italian

Italian for Beginners 1 , 2, 3 , 4 , 5, 6 

Oggi e Domani

Intermediate

Intermediate Italian I

Advanced

Advanced Italian I

Italian Literature

Italian Novel of the Twentieth Century

La Commedia di Dante

Reading Italian Literature

Japanese

Beginner’s Conversational Japanese

Genki

Japanese JOSHU

Japanese Pronunciation

Sing and Learn Japanese

Tufs JpLang

Kazakh

A1-B2 Kazakh (Taught in Russian)

Korean

Beginner

First Step Korean

How to Study Korean

Learn to Speak Korean

Pathway to Spoken Korean

Intermediate

Intermediate Korean

Latin

Latin I (Taught in Italian)

Nepali

Beginner’s Conversation and Grammar

Norwegian

Introduction to Norwegian

Learn The Norwegian Language

Norwegian on the Web

Portuguese

Curso de Português para Estrangeiros 

Pluralidades em Português Brasileiro

Russian

Beginner

Basics of Russian

Easy Accelerated Learning for Russian

Russian Alphabet

Russian Essentials

Russian Phonetics and Pronunciation

Reading and Writing Russian

Advanced

Reading Master and Margarita

Russian as an Instrument of Communication

Siberia: Russian for Foreigners

Spanish

Beginner

AP Spanish Language & Culture

Basic Spanish for English Speakers

Beginner’s Spanish:Food & Drink

Fastbreak Spanish

Introduction to Spanish

Restaurants and Dining Out

Spanish for Beginners

Spanish for Beginners 1, 2, 3, 4, 5, 6

Spanish Vocabulary

Intermediate

Spanish:Ciudades con Historia

Spanish:Espacios Públicos

Advanced

Corrección, Estilo y Variaciones 

La España de El Quijote

Leer a Macondo

Spanish:Con Mis Propias Manos

Spanish: Perspectivas Porteñas

Reading Spanish Literature

Swedish

Intro to Swedish

Swedish Made Easy 1, 2, & 3

Ukrainian

Read Ukrainian

Ukrainian for Everyone

Ukrainian Language for Beginners

Welsh

Beginner’s Welsh

Discovering Wales

Multiple Languages

 Ancient Languages

More Language Learning Resources & Websites!

Last updated: March 1, 2017

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zero to pandas

There are alot of Python courses out there that we can jump into and get started with. But to a certain extent in that attempt to learn the language, the process becomes unbearably long and frustratingly slow. We all know the feeling of wanting to run before we could learn how to walk; we really wanna get started with some subtantial project but we do not know enough to even call the data into the terminal for viewing.

Back in August, freeCodeCamp in collaboration with Jovian.ai, organized a very interesting 6-week MOOC called Data Analysis with Python: Zero to Pandas and as a self-proclaimed Python groupie, I pledged my allegiance!

If there are any expectation that I've managed to whizz myself through the course and obtained a certificate, nothing of that sort happened; I missed the deadline cause I was busy testing out every single code I found and work had my brain on overdrive. I can't...I just...can't. Even with the extension, I was short of 2 Pythonic answers required to earn the certificate. But don't mistake my blunders for the quality of the content this course has to offer; is worth every gratitude of its graduates!

Zero to Pandas MOOC is a course that spans over 6 weeks with one lecture webinar per week that compacts the basics of Python modules that are relevant in executing data analysis. Like the play on its name, this course assumes no prior knowledge in Python language and aims to teach prospective students the basics on Python language structure AND the steps in analyzing real data. The course does not pretend that data analytics is easy and cut-corners to simplify anything. It is a very 'honest' demonstration that effectively gives overly ambitious future data analysts a flick on the forehead about data analysis. Who are we kidding? Data analysis using programming language requires sturdy knowledge in some nifty codes clean, splice and feature engineer the raw data and real critical thinking on figuring out 'Pythonic' ways to answer analytical questions. What does it even mean by Pythonic ways? Please refer to this article by Robert Clark, How to be Pythonic and Why You Should Care. We can discuss it somewhere down the line, when I am more experienced to understand it better. But for now, Packt Hub has the more comprehensive simple answer; it simply is an adjective coined to describe a way/code/structure of a code that utilizes or take advantage of the Python idioms well and displays the natural fluency in the language.

The bottom line is, we want to be able to fully utilize Python in its context and using its idioms to analyze data.

The course is conducted at Jovian.ai platform by its founder; Aakash and it takes advantage of Jupyter-like notebook format; Binder, in addition to making the synchronization available at Kaggle and Google's Colab. Each webinar in this course spans over close to 2 hours and each week, there are assignments on the lecture given. The assignments are due in a week but given the very disproportionate ratio of students and instructors, there were some extensions on the submission dates that I truly was grateful for. Forum for students is available at Jovian to engage students into discussing their ideas and question and the teaching body also conducts office hours where students can actively ask questions.

The instructor's method of teaching is something I believe to be effective for technical learners. In each lectures, he will be teaching the codes and module requires to execute certain tasks in the thorough procedure of the data analysis task itself. From importing the .csv formatted data into Python to establishing navigation to the data repository...from explaining what the hell loops are to touching base with creating functions. All in the controlled context of two most important module for the real objective of this course; Numpy and Pandas.

My gain from this course is immensely vast and that's why I truly think that freeCodeCamp and Jovian.ai really put the word 'tea' to 'teachers'. Taking advantage of the fact that people are involuntarily quarantined in their house, this course is something that should not be placed aside in the 'LATER' basket. I managed to clear my head to understand what 'loop' is! So I do think it can solve the world's problem!

In conclusion, this is the best course I have ever completed (90%!) on data analysis using Python. I look forward to attending it again and really finish up that last coursework.

Oh. Did I not mention why I got stuck? It was the last coursework. We are required to demonstrate all the steps of data analysis on data of our choice, create 5 questions and answer them using what we've learned throughout the course. Easy eh? Well, I've always had the tendency of digging my own grave everytime I get awesome cool assignments. But I'm not saying I did not do it :). Have a look-see at this notebook and consider the possibilities you can grasp after you've completed the course. And that's just my work...I'm a standard C-grade student.

And the exciting latest news from Jovian.ai is that they have upcoming course at Jovian for Deep Learning called Deep Learning with PyTorch: Zero to GANS! That's actually yesterday's news since they organized it earlier this year...so yeah...this is an impending second cohort! Tentatively, the course will start on Nov 14th. Click the link below to sign-up and get ready to attack the nitty-gritty. Don't say I didn't warn ya.

And that's me, reporting live from the confinement of COVID pandemic somewhere in a developing country at Southeast Asia....

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Досить випадково натикнувся на такий курс і, звісно ж, одразу захотів його пройти і нарешті навчитися користуватися MATLAB’ом. Забігаючи напереред, потім знайшов ще крутіший курс, але сертифікат за нього вже не отримаю, але то таке, все-одно його проходжу.

Деякі речі були трошки примітивні, оскільки курс призначений для людей які взагалі не знайомі з програмуванням, але все ж напевне краще вивчати нову мову програмування з нуля, а не порівнювати з тим шо ти вже знаєш (мені і досі хочеться написати for i = 1 to n; ... next i). 

Але домашні завдання були шикарні. Жаль що не встиг зробити всі завдання з останнього ДЗ, вони були найтяжчі а я взявся за них за два дні до дедлайну (( Так мав би сертифікат з відзнакою. Ну, але то таке, головне шо тепер знаю з якого боку підходити до MATLAB 8-) 

А що ви нового вивчили за літо? ;)

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Закінчив черговий курс на FutureLearn How to suceed at: Interviews від університету Шеффілда. 

Поки не маю великого досвіду співбесід, але рекомендації, які дають автори курсу дуже корисні, краще знати такі нюанси ДО співбесіди ніж під час )))

Насправді коли задумуєшся над відповідями на різноманітні питання розумієш шо певний потенціал в тебе є, а особливо багато цінного досвіду я набув завдяки Пласту та громадській діяльності.  

А у вас є якийсь цікавий досвід співбесід? Поділіться в коментарях!

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Щойно закінчив один із найцікавіших курсів, які коли-небудь проходив, Learning How to Learn: Powerful mental tools to help you master tough subjects (Вчимося вчитися - потужні розумові засоби, які допомагають опанувати складні теми) на Coursera​.

Відкрив для себе дуже багато нового про процес навчання, підтвердив правильність багатьох методів, які досі використовував (зокрема, в вивченні мов), бачу що є ще деякі техніки, які потрібно опанувати.

Дуже крутий курс, надихаючі викладачі, ненапряжний і надзвичайно корисний для Lifetime Learning.

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