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Data Scientist and Machine Learning Specialist have been ranked the number one job on Glassdoor for the last couple of years and the average salary of a data scientist is over $120,000 in the United States according to Indeed. Data Science is not only a rewarding career in terms of money but also provides the opportunity to solve some of the world's most interesting problems. IMHO, that's the main motivation many good programmers are moving towards Data Science, Machine Learning, and Artificial Intelligence. If you are in the same boat and thinking to become a Data Scientist or Machine Learning specialist then you have come to the right place. In this article, I am going to share some of the best online courses you can take to become a Data Scientist by learning Data Science, Machine Learning, Deep Learning, and Artificial Intelligence. When it comes to programming languages and libraries, Python and R are clearly two leading programming languages in the areas of machine learning, data analytics, and artificial intelligence.
Many exciting developments are happening in those languages and they already got some useful libraries to start with. If you've got some programming or scripting experience, these courses will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry and prepare you for a move into this hot and lucrative career path. Here is my list of top 5 online courses you can take to learn Data Science and machine learning and become a Data Scientist. These courses will provide you valuable insights, advice, tips, and recommendations to take your Data Science career to the next level. It contains courses on both Python and R, two of the most popular programming languages of Data Scientists and Machine Learning specialists. This is probably the best course to learn Machine learning on the internet. More than 5 million students have already taken this course and know it by name, which speaks volumes of its popularity and quality.
It's one of the best online courses to start on machine learning and probably the most recommended resource as well. I also strongly recommend this as a starting point for anyone wishing to be a Machine learning programmer or Data Scientist. If you don't know Andrew Ng is CEO and founder of Landing AI and Co-founder of Coursera, one of the best online course portals. He is also an Adjunct Professor of Stanford University and former Chief Scientist of Baidu and founding lead of Google Brain, one of the better-known examples of machine learning Algorithms. This course provides a broad introduction to machine learning, data science, and statistical pattern recognition. It covers both Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks) and Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). It also teaches you best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).
The best part of the course is that it will also discuss many case studies and applications so that you'll also learn how to apply machine learning algorithms to building smart robots, text understanding like web search and anti-spam, computer vision, audio, database mining, and other areas. In short, one of the best courses to start with is Machine learning. It's also free for learning but you won't get any certificate and may not be able to access certain quizzes and assessments. And, if you find Coursera certifications useful then you should also join the Coursera Plus, a subscription plan from Coursera which provides you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. Many of my friends and colleagues who have moved towards Data Science have chosen Python as their choice of language. One reason for that is Python is probably the most popular language and offers everything.
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