Top 10 Platforms to Practice Key Data Science Skills

Top 10 platforms that will help you practice the key data science skills for beginners

The benefit of being online nowadays is that learning is no longer restricted. You can read, practice, quiz, and program from the comfort of your home without paying for a degree.

And, because data science is regarded as a difficult skill to master, many employers are unconcerned about where you learned to code in Python or any other data science skills, as long as you can do it.

In this article, we will review the top 10 platforms for data science skills and platforms offering a hands-on learning experience. These include a variety of resources to help you build and solidify your programming and database management skills, such as video tutorials, interactive coding exercises, and quizzes. Read to know more about platforms to practice key data science skills.

  1. Codecademy

Codecademy is an online learning platform that provides programming, data science, and web development courses and tutorials. It’s a popular choice for newcomers and those looking to improve their coding abilities. You can learn a variety of programming languages through Codecademy, including Python, Ruby, HTML, JavaScript, CSS, and others.

  1. Coursera

Coursera is a platform that allows universities and businesses to upload video courses. They have a slew of popular data science instructors among other things. Coursera is an online learning platform run by universities. They offer online courses, certificates that can be displayed on your virtual LinkedIn wall, and even full-fledged degree programs. They collaborate with universities such as the University of Michigan, Yale, Rice, Imperial College London, and others. Courses usually last between one and nine months.

  1. StrataScratch

StrataScratch is an interview question platform. This is a much more practical, result-oriented platform. Rather than teaching you knew skills from the ground up, this platform is ideal if you already have some knowledge and want to test yourself or practice for an upcoming interview.

  1. is an intriguing platform that aims to bridge the gap between traditional college degrees and online learning platforms. College degrees are time-consuming and costly. Coursera, for example, focuses on the front end. You’ll struggle if you want to practice Python, SQL, and other coding skills to get a job as a backend developer.

  1. Udemy

Udemy is similar to Coursera, but with one major difference: anyone, not just universities or organizations, can upload video courses. Udemy, like Coursera, can provide you with access to a plethora of courses on a variety of topics, but there is a strong focus on data science. This means that Udemy provides a diverse selection of courses, from beginner to advanced, professionals, taught by experts, and individuals.

  1. edX

edX, like Coursera, provides online courses from top universities and institutions. edX, on the other hand, specializes a little more in terms of whom they partner with and the skills they offer. Coursera, for example, only offers specializations, professional certificates, and degrees, whereas edX offers verified certificates, professional certificates, and micrometers.

Coursera is also more self-paced, whereas edX has exam and assignment deadlines.

  1. Kaggle

Kaggle is a well-known and well-managed data science competition platform with a focus on machine learning in particular. Google owns it, and it has tens of thousands of data sets to practice on. On Kaggle, you can learn data analysis, machine learning, Python and R programming, and data preparation. Having access to real, crunchy data and real, crunchy problems is extremely beneficial. When you’re finished with e-learning and want to push yourself even further, this type of challenge-based platform is ideal for honing your skills.

  1. HackerRank

HackerRank is a website for software developers to improve their coding skills through coding challenges and competitions. Many businesses use it as a fun way to screen candidates for software development positions. There are numerous categories to choose from on the platform, including algorithms, data structures, mathematics, databases, and others.

It’s a great place to build a portfolio as a random person on the internet who wants to learn Python, SQL, and other coding skills.

  1. StackOverflow

StackOverflow is a website where programmers, developers, and software engineers can ask questions and get answers from the community. Answers can be rated positively or negatively based on their usefulness and accuracy. It’s a massive archive of coding questions and answers dating back years.

  1. Datacamp

This is yet another interactive platform devoted to data science courses. If you are starting from scratch, these interactive platforms are extremely helpful. Codecademy’s skill tracks are a useful feature. It aids in the tracking of skills required for a career in data.

These interactive platforms are beneficial to newcomers. These may be overkill for people with prior programming experience.

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