Curated list of Resources for Getting Started in Data Science and Deep Learning in 2019 Data Science is being adopted by almost all the companies right now whether it is a machinery business or automobiles. According to , Data Scientist is best job in America in 2018 with a median base salary of $110,000. However, there is also a huge skill gap for Data Science. Glassdoor Becoming a Data Scientist is not that hard, if given right amount time and efforts while learning. However, I often find people trying out different courses, resources but still aren’t able to learn Photo by on Tim Gouw Unsplash I have been doing Data Science from 2 years, and I tried several courses/resources, so here’s a list of recommendation for Getting Started in: Data Science There are so many paid as well as free courses/MOOCs for getting started with Data Science, due to which choosing one becomes difficult. Data Lit The AI Wizard Siraj Raval just launched his new course called ‘ It contains all the things that you need to be a Data Scientist such as SQL, Statistics, Getting started with Kaggle etc. March 2019 Update: Data Lit’. _Teacher hello@sirajraval.com Categories Data Lit Review (6 reviews) Overview Overview Course Objective Data Lit is is a…_www.theschool.ai Data Lit | School of AI Try the Data Lit course, it’s free and it has its own Slack community, which will help you if you get stuck at any phase of the Data Lit course. 2. Applied Data Science with Python The Second best resource for getting started in Data Science is “ ” by Coursera. Applied Data Science with Python _The 5 courses in this University of Michigan specialization introduce learners to data science through the python…_www.coursera.org Applied Data Science with Python | Coursera This a specialization which contains which starts with Python Basics, then learning Statistics required for Data Science. 4 courses Then it covers various Visualization techniques using libraries like matplotlib etc in Python, Fundamentals of Machine Learning, and in Final course it cover basics of Natural Language Processing. This specialization is free to access, if you choose the ‘ ’. However, for getting certificate you would have to apply for or pay $50 subscription fee to coursera. Audit this course Financial Aid Machine Learning The ‘ ’ from covers Machine Learning in the specialization, however, if you want to deep dive into Machine Learning algorithms and the mathematics behind it, there’s another great free resource called as Applied Data Science with Python coursera fast.ai _fast.ai's practical machine learning MOOC for coders. Learn Random Forests, Logistic Regression, Gradient Descent, NLP, recommendation systems…_course.fast.ai/ Machine Learning For Coders-24 hours of lessons for free This course is taught by an AI Researcher (Also, Ex-President Kaggle) and is a part of a Program from University of San Francisco. Jeremy Howard Master of Science in Data Science Deep Learning Also, with Deep Learning there are so many courses available which teach you to apply deep learning algorithms and get State of the Art results within few line of codes. Applying these algorithms and getting results feels great, but one must know how they are working, instead of thinking of these algorithms as a black box. Deep Learning Specialization The specialization is taught by the great Andrew Ng. _Deep Learning from deeplearning.ai. If you want to break into AI, this Specialization will help you do so. Deep…_www.coursera.org Deep Learning | Coursera This course is targeted towards beginner and just requires knowledge of Basic Python, Linear Algebra and Calculus. The algorithms are taught from scratch and it’s a resource for getting started with Deep Learning. There’s a great review of this course by on his YouTube channel, here’s the video if you’d like to see: Daniel Bourke 2. fast.ai _fast.ai's practical deep learning MOOC for coders. Learn CNNs, RNNs, computer vision, NLP, recommendation systems…_course.fast.ai Deep Learning For Coders-36 hours of lessons for free This is taught by Jeremy Howard. This is the most rich and comprehensive course for Deep Learning. It covers all aspects of Algorithms. This courses is taught with the help of library which is a PyTorch wrapper, and it has a great community which will help you at every roadblock you face! fastai 3. Intro to Deep Learning with PyTorch _Learn the basics of deep learning and implement your own deep neural networks with PyTorch_www.udacity.com Intro to Deep Learning with PyTorch | Udacity Recently, PyTorch 1.0 stable was released by Facebook, and it has ability to fully utilize your gpu power for training models since it works on a basic data structure Tensors. Udacity partnered with Factbook launched the free Deep Learning course. They start from basics of Neural Network and then goes to implementing various deep learning algorithms using PyTorch. Miscelleneous Data Science Resources: Apart doing MOOCs you can always stay updated with latest trends using following links: _Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract…_hackernoon.com Data Science in Tech - Hacker Noon : Youtube _I'm Siraj. I'm on a warpath to inspire and educate developers to build Artificial Intelligence. Games, music, chatbots…_www.youtube.com Siraj Raval _Videos exploring research topics in artificial intelligence, deep learning, autonomous vehicles, and beyond._www.youtube.com Lex Fridman _3blue1brown, by Grant Sanderson, is some combination of math and entertainment, depending on your disposition. The goal…_www.youtube.com 3Blue1Brown _Hello, world! Nice to meet you all. I post videos on fitness, nutrition, technology and whatever other experiments I'm…_www.youtube.com Daniel Bourke Publications: _Sharing concepts, ideas, and codes._towardsdatascience.com Towards Data Science _Latest News, Info and Tutorials on Artificial Intelligence, Machine Learning, Deep Learning, Big Data and what it means…_becominghuman.ai Becoming Human: Artificial Intelligence Magazine _Understand how machine learning and artificial intelligence will change your work & life._machinelearnings.co Machine Learnings Medium Publications _Highlights from Machine Learning Research, Projects and Learning Materials. From and For ML Scientists, Engineers an…_medium.com ML Review _Analytics Vidhya is a community of Analytics and Data Science professionals. We are building the next-gen data science…_medium.com Analytics Vidhya _Cutting edge data science news and projects_medium.com Applied Data Science Notes: _I am a data scientist and machine learning engineer with a decade of experience applying statistical learning…_chrisalbon.com Chris Albon Cheatsheets by : Favio Vázquez _List of Data Science Cheatsheets to rule the world - FavioVazquez/ds-cheatsheets_github.com FavioVazquez/ds-cheatsheets Again, these are the recommendations. You can use any resources to get started in this field. And don’t just complete these MOOCs, develop some to test your skills by using the datasets available on or by creating your own, because implementing them will give you an idea of how the tools and libraries works. real world project Kaggle Happy Learning! _Data science is an interdisciplinary field that uses scientific methods, processes, algorithms and systems to extract…_hackernoon.com Data Science in Tech - Hacker Noon

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