5 amazing websites that will blow the mind of a developer. Definitely check them out

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Finding good courses is challenging.

Here are five courses on JavaScript, Python, and Go you can consider in 2022.

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1️⃣ Basic JavaScript

Interactive learning will help you understand the basic concepts of JavaScript quickly.

• Introduction
• Variables
• Comparisons
• Loops

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2️⃣ Advance JavaScript

Understanding complex concepts of JavaScript is the with exercises and challenges.

• Functions
• Arrays
• Objects

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3️⃣ Python

You'll get hands-on practice with all the building blocks to ensure you excel as a Pythonista.

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4️⃣ DS and Algo in Python

Algorithms are tough to master. But this course made it easy with code samples and quizzes.

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You are looking to get into Machine Learning? You most certainly can
Because I believe that if an above-average student like me was able to do it, you all certainly can as well

Here's how I went from knowing nothing about programming to someone working in Data Science👇

The path that I took wasn't the most optimal way to get a good grip on Machine Learning because...

when I started out, I knew nobody that worked or had knowledge of Data Science which made me try all sorts of different things that were not actually necessary.

I studied C programming as my first language during my freshman year in college. And before the start of my second year, I started learning python just because I knew C is not the way to go.
I learned it out of curiosity and I had no idea about Machine Learning at this point.

I did not learn python by courses but by books. I'll link all the resources at the end.
The approach I took was just to make the same kind of programs I made in C but just replacing the syntax with that of python and practised those.
Already knowing a language made it easier.

For Machine Learning, the first thing that I did was to join Andrew NG's course which really hit it off for me
I didn't have to have any idea about Machine Learning for the course. I completed that in almost a month and it gave me a good intuition of things and the flow of ML.

If you're learning or planning to learn Web Development in 2021 then this thread is for you

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WHERE TO START? Front-end or Backend?

- Well this may be a debatable question but I would suggest you to start with front-end development

- It depends entirely on the individual but in my opinion, starting with front-end development has its advantages.

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WHY TO START WITH FRONT-END DEVELOPMENT?

- More visual content gives you an aesthetic vibe

- You can share your creations

- Easier to get feedback as you can show your webpages to any non technical person as well

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FUNDAMENTALS ARE IMPORTANT

- Don't rush! Spend some time on HTML, CSS and JavaScript. You can do pretty amazing things using these three languages

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- Make sure to learn and build some web pages using HTML and CSS before jumping onto JavaScript

- JavaScript is the backbone of web development, Don't rush to start with React/Angular/vue or any other front-end framework or library

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Want to start with SQL? It can be your first step into the programming world!

Top resources for SQL! 🧵👇

1⃣ SQL Course by DataCamp
Only 4 hours long!

Link:

2⃣ SQL Course by KhanAcademy
The course covers basic to advanced topics.

Link:

3⃣ SQL by W3Schools
This is a SQL resource that you will turn to time and again. It covers everything you can learn about SQL.

Link:

4⃣ SQL by FreeCodeCamp
Beginner-friendly SQL Course.
4 hours long tutorial only!

Link:

I remember how hard it was to find resources for machine learning a couple of years ago.

Now we have so many of them, its impossible for you to not find what you're looking for.

Here are some of them 🧵

1️⃣ Kaggle

My go to place for finding datasets and code snippets, also a great place for discussions.

2️⃣ Papers with code

A collection of the latest and greatest research papers and the best part, a github repository with the code is included!

3️⃣ Kdnuggets

Guides, tutorials and articles on everything AI, Analytics, Big Data, Data Mining, Data Science, and Machine Learning.

4️⃣ Towards Data Science

A blog about data science with accessible and well written articles.