Disclosure: This post includes affiliate links; I may receive compensation if you purchase products or services from the different links provided in this article. Hello Devs, if you want to learn Data Science and Machine Learning with Python in 2022 and looking for best resources like books and online courses then you have come to the right place. Earlier, I have shared best Python book for Data Science and today, I am going to share with you best Python courses for Data Science and Machine Learning. We all know what Python is, right? If you don't, let me give you a brief overview.

This course is more to the point to help you to quickly master the concept of Data Science to land your dream job at your dream company. The course is taught by industry professionals as well as University of Texas professors. The creators of this course took more than 6 months in consulting Industry and Academic professionals in creating the course curriculum. The content in this course is the same as being delivered to our undergraduate and graduate students on campus. This is a BEGINNER to ADVANCED course for anyone who is interested in making a career in Data Science.

I am a student at ICT, Mumbai which is one of the India's finest college to study Chemical Technology and Chemistry but my passion always has been Mathematics and Computing. Unfortunately due to my score in JEE I could not get into Computing and I had to take up ICT .I took ICT mainly because of the reason that it is one of the finest colleges of India and people look up to you when you tell them you are a student at ICT. My passion for coding did not stop even after entering ICT and I used to browse courses on Udemy relating to Python, JAVA and various other related stuff. I remember purchasing a course on Udemy relating to JAVA by a well known instructor Tim Buchalka and getting used to stuff like IntelliJ for the first time when all my colleagues where enjoying their Freshers. Coding always has been that get away thing for me which never fails to bring a smile on my face.

This specialization program is especially dedicated to statistics. In this program, you will learn basic and intermediate concepts of statistical analysis using the Python programming language. In this program, you will learn the following topics- where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. Along with that, you will work on a variety of assignments that will help you to check your knowledge and ability. This specialization program is a 3-course series. Let's see the details of the courses-

This is step by step course on how to create predictive model using machine learning. It covers Numpy, Pandas, Matplotlib, Scikit learn and Django and at the end predictive model is deployed on Django. Most of things machine learning beginner do not know is how they can deploy a created model. How to put created model into application? Training model and getting 80%, 85% or 90% accuracy does not matter. As Artificial Intelligence Engineer you should be able to put created model into application.

The world of data science is still new as compared to other software-related fields, and it doesn't have a gold standard on what skills you need to acquire to be called a professional data scientist. This is where DataCamp certification comes in to access your knowledge and skills. Just like in the world of computer networks, the Cisco certification is a gold standard. Similarly, DataCamp is accessing an individual's skills by conducting various challenges. During the Certificate Challenge, I was a professional data scientist working with various companies on various projects.

Building AI agents can be costly. Consider a question answering agent such as Jill Watson that automatically answers students' questions on the discussion forums of online classes based on their syllabi and other course materials. Training a Jill on the syllabus of a new online class can take a hundred hours or more. Machine teaching - interactive teaching of an AI agent using synthetic data sets - can reduce the training time because it combines the advantages of knowledge-based AI, machine learning using large data sets, and interactive human-in-loop training. We describe Agent Smith, an interactive machine teaching agent that reduces the time taken to train a Jill for a new online class by an order of magnitude.

Originally published on Towards AI the World's Leading AI and Technology News and Media Company. If you are building an AI-related product or service, we invite you to consider becoming an AI sponsor. At Towards AI, we help scale AI and technology startups. Let us help you unleash your technology to the masses. There is an imbalance in the education system during the Covid19 pandemic and most of the students don't even have access to educational tools and online learning platforms.

Artificial intelligence is everywhere these days. The National AI Initiative Act became law in the U.S. on Jan. 1, 2021, aiming "to accelerate AI research and application for the Nation's economic prosperity and national security." The U.S. National Science Foundation launched in 2020 several AI Research Institutes to push forward the frontiers of artificial intelligence. One of the themes of this research initiative is "AI-Augmented Learning." This quest to improve education via technology reminds me of "Profession;" a 1957 science-fiction story by Isaac Asimov.

World-renown organizations such as UNESCO, the EU, UNICEF, and other reputable entities can make long-distance formal education more possible. By integrating AI into eLearning platforms, the need for professional teachers is nullified and more students will be able to study effectively. Using AI to fill in for teachers would make the deployment of formal long-distance learning more rapid and efficient. This would make K-12 education in the African, South American, and Asian countries more accessible, viable, and worthwhile.