Top 10 Data Science Programming Languages You Should Know in 2023

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Data Science Specialization This course is one of the highly rated and most popular on this list. JHU did an excellent job of balancing breadth and depth in the curriculum. A complete section on statistics, which is the backbone of data science, is included in this series, which is usually missing from many data science courses.

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Python Specialization with Applied Data Science The University of Michigan, which also offers an online Master’s degree in data science, offers this fantastic specialisation focused on the applied side of data science. This means you’ll get a solid foundation in popular data science Python libraries like matplotlib.

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Data Science MicroMasters MicroMasters are the advanced and graduate-level courses that can be applied toward a real Master’s degree at a few certain institutions. Completing the courses and receiving a certificate will count as 30% of the full Master of Science in Data Science degree.

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Dataquest Dataquest foregoes video lessons in favour of an interactive textbook of sorts. And every topic covered in the data science track is accompanied by several interactive coding steps in-browser that will guide you through the process of applying the specific topic you’re learning.

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Statistics and Data Science MicroMasters This MIT MicroMaster’s is more focused on statistical content than the UC San Diego MicroMaster mentioned earlier in the list. Because of its complexity, you should be familiar with single and multivariate calculus, as well as Python programming.

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CS109 Data Science This Harvard course is one of the best for getting started as a beginner, with a great mix of theory and application. It is not on an interactive platform like Coursera or edX, and it does not provide any sort of certification, but it is well worth your time and is completely free.

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Phyton for Machine Learning and Data Science For the price, this is an excellent course. The instructor does an excellent job of explaining the Python, visualization, and statistical learning concepts that are required for all data science projects. The assignments are an advantage of this course over the other Udemy courses.

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Deep Learning Specialization This is one of the most popular data science courses on the internet, created by Andrew Ng, the creator of the famous Stanford Machine Learning course. This course series is designed for those who want to learn about and work with neural networks in Python.

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Python Computational Thinking XSeries Although this series only runs every few months, if you’re new to computer science and Python, this is a great series to dive into if you have the opportunity.

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JavaScript JavaScript is a widely used programming language in the field of data science. It offers powerful libraries for data visualization, web scraping, data processing, machine learning, data analytics, real-time data processing, and data integration.

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