A curated list of courses to learn data science, machine learning, and deep learning fundamentals. Data Science, Machine Learning, Deep Learning, and Artificial intelligence are really hot at this moment and offering a lucrative career to programmers with high pay and exciting work. It’s a great opportunity for programmers who are willing to learn these new skills and upgrade themselves. It’s also important from the job perspective because Robots and Bots are getting smarter day by day, thanks to these technologies and most likely will take over some of the jobs which many programmers do today. Hence, it’s important for software engineers and developers to upgrade themselves with these skills. Programmers with these skills are also commanding significantly higher salaries as data science is revolutionizing the world around us. You might already know that the is one of the top paid technical jobs in the world. However, most developers and IT professionals are yet to learn these valuable set of skills. For  those, who don’t know what is a Data Science, Machine learning, or deep learning, they are very related terms with all pointing towards machine doing jobs which is only possible for humans till date and analyzing the huge set of data collected by modern day application. Machine learning specialist Data Science, in particular, is a combination of concepts such as machine learning, visualization, data mining, programming, data mugging, etc. If you have some programming experience then you can learn or to make your carer as a Data Scientist. Python R There are a lot of popular scientific Python libraries such as Numpy, Scipy, Scikit-learn, Pandas, which is used by Data Scientists for analyzing data. To be honest with you, I am also quite new to Data Science and Machine learning world but I have been spending some time from last year to understand this field and have done some research in terms of best resources to learn machine learning, data science etc. I am sharing all those resources in a series of a blog posts like this. Earlier, I have shared some courses to learn , one of the most popular machine learning library and today I’ll share some more to learn these technologies. TensorFlow These  are a combination of both and which will help you to understand key data science concepts and become a Data Scientist. free data science courses best data science resource 10 Useful Data Science Courses for Programmers Here is my list of some of the best courses to learn Data Science, Machine learning, and deep learning. As I said, Data Science and machine learning work very close together, hence some of these courses also cover machine learning. Both and are a great language for Data Analysis and have good APIs and library, hence I have included courses in both Python and R, you can choose the one you like. I personally like Python because of its versatile usage, it’s the next best in my list of language after Java. I am already using it for writing scripts and other web stuff, so it was an easy choice for me. It has also got some excellent libraries like and . Data Science is also a combination of many skills like visualization, data cleaning, data mining etc and these courses provide a good overview of all these concepts and also presents a lot of useful tools which can help you in the real world. 1 This is probably the best hands on course on Data Science and machine learning online. In this course, you will learn to create Machine Learning Algorithms in Python and R from two Data Science experts. This is for students and programmers who want to make a career in Data Science and also Data Analysts who want to level up in machine learning. It’s  also good for any intermediate level programmers who know the basics of  machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of . Python R Sci-kit Learn TensorFlow . Machine Learning A-Z: Hands-On Python and R — In Data Science a great course Machine Learning Data  science is the practice of transforming data into knowledge, and R is one of the most popular programming language used by data scientists. In this ,  you’ll learn first learn about the practice of data science, the R programming language, and how they can be used to transform data into actionable insight. Next, you’ll learn how to transform and clean your data, create and interpret descriptive statistics, data visualizations, and statistical models. Finally, you’ll learn how to handle , make predictions using machine learning algorithms, and deploy R to production. 2. Data Science with R by Pluralsight course Big Data Btw, you would need a Pluralsight membership to get access this course, which cost around $29 per month or (14% discount). $299 annually If  you don’t have Pluralsight membership, I encourage you to get one because it allows you to access their 5000+ online courses on all latest topics like front-end and back-end development, machine learning etc. It also include interactive quizzes, exercises, and latest certification material . It’s more like and Since learning is an important part of our job, Plurlasight membership is a great way to stay ahead of your competition. Netflix for Software Developers They also provide a without  any commitment, which is a great way to not just access this course for  free but also to check the quality of courses before joining Pluralsight. 10-day free trial The  course is a combination of various data science concepts such as machine learning, visualization, data mining, programming, data mugging, etc. You will be using popular scientific Python libraries such as , Scipy, , Pandas throughout the course. I suggest you complete the machine learning course on course before taking this course, as machine learning concepts such as PCA (dimensionality reduction), k-means and logistic regression are not covered in depth. But remember, you have to invest a lot of time to complete this course, especially the homework exercises are very challenging In short, if you are looking for an online course in data science(using ), there is no better course than . You need some background in programming and knowledge of statistics to complete this course. 3. Harvard Data Science Course Numpy Scikit-learn Python Harvard’s CS 109 This is a great introductory course on what Data Scientist do and how you can become a data science professional. It’s also free and you can get it on Udemy. If you have just heard about and excited about it but doesn’t know what it really means then this is the course you should attend first. It’s a but packed with big punches. You will understand what Data Science is? Appreciate the work Data Scientists do on a daily basis and differentiate the various roles in Data Science and the skills needed to perform them. You will also learn about the challenges Data Scientists face. In short, this course will give you all the knowledge to make a decision on whether Data Science is the right path for you or not. 4. Want to be a Data Scientist? (FREE) Data Science small course This  is another good Introductory course on Data science which is available for free on Udacity, another popular online course website. In this ,  you will learn about essential Data science concepts e.g. Data Manipulation, Data Analysis with Statistics and Machine Learning, Data Communication with Information Visualization, and Data at Scale while working with . This is a free course and it’s also the first step towards a new career with the Data Analyst Nanodegree Program offered by Udacity. 5. Intro to Data Science by Udacity course Big Data The  is another good course to learn Data Science with R. In this course, you will not only learn R programming language but also get some hands-on experience with statistical modeling techniques. The  has real-world examples of how analytics have been used to significantly improve a business or industry. If  you are interested in learning some practical analytic methods that don’t require a ton of maths background to understand, this is the course for you. 6. Data Science with R This  course provides a broad introduction to various concepts of data science. The first programming exercise “Twitter Sentiment Analysis in Python” is both fun and challenging, where you analyze tons of twitter message to find out the sentiments e.g. negative, positive etc. The assumes that you know statistics, , and . Btw, It’s not so good for beginners, especially if you don’t know Python and SQL but if you do and have a basic understanding of Data Science then this is a great course. 7. Intro To Data Science Course by Coursera course Python SQL There  is no doubt that Python is probably the best language, apart from R for Data Analysis and that’s why it’s hugely popular among Data Scientists. This will teach you how to use all important Python scientific and machine learning libraries Tensorflow, NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, and many more libraries which I have explained earlier in my list of . It’s a very comprehensive course and you will how to use the power of Python  to analyze data, create beautiful visualizations, and use powerful machine learning algorithms! 8. Python for Data Science and Machine Learning Bootcamp course useful machine learning libraries This is another great hands-on course on Data Science from Udemy. It promises to teach you Data Science step by step through real Analytics examples. Data Mining, Modeling, Tableau Visualization and more. This will give you so many practical exercises that the real world will seem like a piece of cake when you complete this course. The  homework exercises are also very thought-provoking and challenging. In short, If you love doing stuff then this is a course for you. 9. Data Science A-Z: Real-Life Data Science Exercises Included course If  you’ve got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry — and help you to become a data scientist. The topics in come from an analysis of real requirements in data scientist job listings from the biggest tech employers, that makes it even more special and useful. 10. Data Science, Deep Learning and Machine Learning with Python this course That’s all about some of the . As I said, there is a lot of demand for good Data Analytics and there are not many developers out there to fulfill that demand. popular courses to learn Data Science It’s a great chance for the programmer, especially those who have good knowledge of maths and statistics to make a career in and Data analytics. You will be awarded exciting work and incredible pay. Other useful resources machine learning Data Science and Machine Learning Top 8 Python Machine Learning Libraries 5 Free courses to learn R Programming for Machine learning 5 Free courses to learn Python for Beginners Top 5 Data Science and Machine Learning courses Top 5 TensorFlow and Machine Learning Courses 10 Technologies Programmers Can Learn Top 5 Courses to Learn Python Better How a Japanese cucumber farmer is using deep learning and TensorFlow Closing Notes Thanks, You made it to the end of the article … Good luck with your Data Science and Machine Learning journey! It’s certainly not going to be easy, but by following these courses, you are one step closer to becoming the Machine Learning Specialists you always wanted to be. If you like this article, then please share with your friends and colleagues, and don’t forget to follow on Twitter! javinpaul — If you need some FREE resources to start with, you can check out this free course to start your preparation. P. S. 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10 Machine Learning, Data Science, and Deep Learning Courses for Programmers in 2020

10 Machine Learning, Data Science, and Deep Learning Courses for Programmers in 2020

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