If you want to learn data science in 2022 and are looking for the best resources such as tutorials, online courses, and websites, then you have come to the right place.
Data scientists create algorithms designed to learn patterns and correlations from data, which AI can use to create predictive models that generate insight from data. Additionally, they can also utilize AI as a tool to understand data and inform enterprise-level business decision-making.
According to the latest, IT Skills Report by DevSkiller, in 2022 alone there is a 295% increase in the number of data science-related tasks recruiters were desiring for candidates in the interview process. This, in turn, fuelled the growth of Python, a programming language popular within data science and machine-learning applications, demand for which grew by 154%.
Clearly, the demand for data science is growing fast, yet recruiters are struggling to find data scientists that can help them move their digital ambitions forward. Therefore, making the field a great choice for job availability and security in 2022 and beyond.
Data scientists have experience in many industries such as computer science, programming languages like Python and R, as well as statistics, and mathematics. Trained data scientists have the ability to o analyze data by extracting valuable insights from it. These insights can help individuals or businesses make better decisions and automate actions. If you are new to data science and are looking for resources, we have compiled a list of the best places to start or continue your learning journey.
Kaggle is a great place to access free courses and datasets for your machine learning projects, and you can even participate in competitions. Inside Kaggle, you’ll find all the code and data you need to do your data science work or personal projects. With Kaggle, you can access over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time. Whether you are a beginner, looking to learn new skills and contribute to projects, or an advanced data scientist working at an enterprise organization, Kaggle is one of the best places to start.
Dr. Andrew Ng is a globally recognized leader in AI (Artificial Intelligence). He is the Founder & CEO of DeepLearning.AI, Founder & CEO of Landing AI, General Partner at AI Fund, Chairman and Co-Founder of Coursera, and an Adjunct Professor at Stanford University’s Computer Science Department.
Machine Learning Mastery (MLM), can support you in understanding complex machine learning and data science concepts. The site includes a step-by-step “How to Get Started” in machine learning, broken down into five steps. The goal of MLM is to simplify your learning process while offering you all the content developers and data scientists need to truly understand and master AI and ML.
This highly popular platform has over 50 million users enrolled globally in hundreds of thousands of courses on topics ranging from programming to web development. Helpful courses are learning data science, and another great option is getting started with NLP.
If you are good at programming as well as implementing machine and deep learning in data science and you desire to learn this industry in-depth, then Udemy is a great place to go for online courses. You will not only get a chance to learn from industry experts but also at a very affordable price.
Udemy offers a top-quality data science course for just $9.99, the price of a cup of coffee in many cities today.
Khan Academy’s goal is to create a set of online tools that help educate students, producing short lessons in the form of videos. Its website also includes supplementary practice exercises and materials for any step of your learning process.
With a mission to provide free, world‑class education for anyone, anywhere, Khan Academy’s offerings in courses such as Statistics can help data scientist dabblers. As you may know, data science statistics is one of the essential areas in data science, making Khan Academy an excellent resource for current and future data scientists.
Towards Data Science Inc (TDS), is proud to run a publication where independent authors who follow set guidelines can publish their work, share their knowledge and expertise, and engage a wide audience on Medium. This site strives to connect ideas with readers, and you can find blog posts on all kinds of data science topics on TDS.
Github is the complete developer platform to build, scale, and deliver secure software. With 83 million+ developers, you can access many resources and notebooks on the site. With GitHub Discussions, you can ask questions and have open-ended conversations, learning and collaborating with other developers from around the globe.
At Mantium, we are always looking for talented developers, engineers, and data scientists, if you are interested in our open positions, please review our careers page. If you are an AI enthusiast interested in building your own AI applications, please sign up for the Mantium platform.
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