Is data science on the decline? Is the discipline of data science overcrowded? Is it too late to seek a data science career? In recent months, these have been the most often requested topics on Social media. Individuals from the IT industry believe that society has gone on to the next big thing. They’ve heard that a lot of data science projects could be automated, and they believe that automation will eventually supplant data science talent.
Trends: But, just from looking at the Google Trend graph (do a google trend search of Data science), we see that the interest in the field has been growing consistently over the last 5 years. We can see that ML has also followed a similar trend. For developers and engineers, this is a positive thing. There are no significant ups or downs. However, the rate of growth is slow for now and it’s expected to pick up the pace soon. This could indicate that data science isn’t going away in the foreseeable future. If anything, there would be a gradual increase over time, as evidenced by numerous studies.
This is exciting news for programmers who are also engineers. Data science requires some programming. Most data scientists use languages like R, and SQL, as the fundamental foundations for their careers in analytics, but others are essential for employment in areas like data systems development. Python in particular. Data scientists use it as one of the most popular programming languages for data research. This is due to its numerous applications, including deep learning, machine learning, and artificial intelligence.
For novice developers and engineers, Python is an object-oriented, interpreted, high-level programming language. Its built-in data structures, as well as dynamic binding and dynamic typing, make it ideal for Rapid Application Development. Python is clear and simple, easy-to-learn syntax prioritizes readability, which lowers software maintenance costs. Don’t worry if you’re like most learners who get the thirst to study python; we’ve got you covered.
Resources: First and foremost, you must have a good knowledge of the foundations in order to understand Python. Learn the syntax of the programming language as well as the fundamental elements of the language, such as variables, data types, and functions. The Python resources mentioned in this post will help with this phase. Then write simple code, either on your own or using the examples supplied in the Python lesson. You can on to more advanced topics once you’ve mastered the fundamentals. I’m aware most developers consider purchasing online courses. Our advice: don’t. Everything is free in today’s world. Sure, you can pay for online classes, but why would you when you can learn everything by reading a few blogs and watching a few free tutorials?
Disadvantage of Online courses: How could there be any negatives to taking online classes? There are a few points that you should know about online courses. Continue reading the followings.
- Online courses are expensive.
- Some online courses are not always updated.
- Online courses require you to look for your own path to learning.
- Online courses require you to be responsible for your own education.
With so much information available on the internet, you don’t need to pay for courses to gain basic knowledge. It’s possible that you have concerns about certifications. If you don’t pay, how will you get your certificate? We’ll go over that in more detail later in this blog.
Resources to Learn Python: The following are the greatest free resources for learning Python.
- Codecademy
- FreeCode Camp
- The Official Docs Python Tutorial
- Youtube
- Blogs and Articles
Our favorite is youtube because it’s free and entertaining. Some of the best youtube channels to look for to learn python are Al Sweigart, Anaconda Inc, Chris Hawkes, Christian Thompson, Clever Programmer, etc.
Learning Python on Youtube?
YouTube is useful in both directions. You can learn new talents or pass the time by watching humorous videos to pass the time. YouTube, on the other hand, is as good as a free online course. Learn Tube has recently been focused on improving YouTube learnings. It’s a Career Ninja Chrome addon. The extension operates in a straightforward manner. This is how it goes. Let’s imagine you were looking for python tutorials. Youtube has a large number of videos. You watched a few videos before realizing that the one you just watched was not for beginners. You click on another, only to discover that it, too, is not for beginners. When you got to the third one, you recognized it was for more advanced developers. Because of YouTube’s disorganized search results, you eventually leave and purchase a premium online course. YouTube has a problem with this. YouTube would otherwise be a free online classroom platform.
To fix that difficulty, we have something for you!
Learning effective is now easier than ever with online learning, especially when there are online learning platforms like LearnTube which presents you with the top most curated content. Sign-up to LearnTube, select your course and start learning!
