Where to start your data science?
By: Vinay Gandhi
Tags: Data Science, Programming, Coding, AI, Education

Where to start your data science?

We hear a lot about machine learning, artificial intelligence, neural networks, and more and more buzz words, but how to approach it, where to start?

Photo by Chris Liverani on Unsplash

A ton of resources are available online and on paper, for learning, for research, for working in the data science industry. Online learning has seen a new revolution, with more and more people staying home, learning new technologies, discovering new fields in creative and technology space, therefore, basics and start from the scratch approach in data science has also seen an upward trend.

At this point, people who are learning it for the first time are a mixed group of people, they come from different backgrounds, different level of expertise and experience, a broad range of people, from senior executive trying to understand if data science is another vertical of investment to go into, or managers to better make business decisions in marketing or pattern prediction; from students trying to get their hands on new technologies for the first time, or traditional programmers transitioning into the next thing.

The best way to start with anything in today’s time is searching online, Google, YouTube; the two largest search engines, and in most cases we can get an accurate answer as long as we search our query properly. However, because of the broad and vast scope of the field and detailing and variations in the resources understanding the way that is most direct and easy becomes necessary. Because of the internet, most of the resources are free, but to have it all in one place with proper projects or ways to start at beginner level and grow up to advance level, where if you just want to get by learning SVM, one doesn’t have to learn the whole concept of Neural Networks.

Here are few curated platforms to learn

YouTube

Now this itself could be enough to understand all the technologies, all the concepts all the math, and more. However, being the beast that it is now, trying to find the correct channel or playlist against recommendations, suggestions, and algorithms might be a big task. Sure, there are many dedicated business channels for coding, in the field of data science, it might not be enough. Bookmark, Save, or Subscribe essential and helpful channels to keep it on the record and can be referred to with our own flow.

2. .org

As many resources are free, there are equally enough platforms that are for-profit which they want you to subscribe or pay for. The trick companies in the subscription model follow is they keep basic versions of few technologies free but for advance and detailed versions they force everyone to pay. However, .org companies or websites are a very good way to get what you want in a simple and organized manner without ill-will or greed.

Some of the best examples to learn basics and at our own pace with a 7-day trial or 30 days activation.

3. All the educational .com

In all the plethora of online web portals and youtube videos, there are many blogs, videos, and creators especially in the education sector with a specialty or focus on a certain type of technology, language, topic. However, for someone who is just starting on this path, however overwhelming these platforms seems to appear, it is a sure way to learn from basics to advanced. It helps us cover all the bases in the field and also creates a sense of community with competitions and tests. Few of the well-known sites are,

Keep Learning! Keep Evolving! Keep Educating!