Our goal with this introduction to data science course is to become familiar with the data science process. We don’t want to go in-depth coverage of specific aspects of the process, hence the “intro to” portion of the title. For each aspect, the ideal course explains key concepts withi...
How much of the syllabus is relevant to data science? Our Pick “Learn to Program: The Fundamentals” (LTP1) and “Learn to Program: Crafting Quality Code” (LPT2) from the University of Toronto (via Coursera) introduces the fundamental building blocks of programming using Python. We believe...
syllabus Aug 15, 2020 Repository files navigation README This is the repo supporting Intro to Data Science (DS-GA-1001) for the NYU Center for Data Science. For homework assignments, quizzes, exams and course grades, please log in to NYU Classes. ...
In addition to being a powerful tool for working with “big data,” Python can also be used for web development, data analytics, machine learning, data science, data engineering, and artificial intelligence, making Python a highly marketable skill for job seekers. Moreover, since Python mirrors ...
Ch 5. ScienceFusion Intro to Science & Technology Unit 2.1: Representing Data Ch 6. ScienceFusion Intro to Science & Technology Unit 2.2: Scientific Instruments and Measurement Ch 7. ScienceFusion Intro to Science & Technology Unit 2.3: Models and Simulations ...
The Apache™ Hadoop® project develops open-source software for reliable, scalable, distributed computing. Learn the fundamental principles behind it, and how you can use its power to make sense of your Big Data. Syllabus Big Data What is Big Data?,The problems big data creates.,How Apache...
It’s good for your resume.Python programming is a highly marketable skill, which is in demand across many different industries including data science, web development, and fintech - just to name a few. It’s simple.Python’s uncomplicated syntax makes it highly readable, and relatively easy ...
Reinforcement learning series syllabus Here is the syllabus for this course: Part 1: Introduction to Reinforcement Learning Section 1: Markov Decision Processes (MDPs) Introduction to MDPs Policies and value functions Learning optimal policies and value functions Section 2: Q-learning Intro...
Andrew has an engineering degree from Yale, and has used his data science skills to build a jewelry business from the ground up. He has additionally created courses for Udacity's Self-Driving Car Engineer Nanodegree program. Jennifer Staab Instructor Jennifer has a PhD in Computer Science and a...
Please check, just in case…. Announcements Welcome! SPCD textbooks AND readings research505 Universal design Don’t fear the syllabus… CS – 600 Introduction to Computer Science Prof. Angela Guercio Spring 2008. Please check. SPCD 582: Teaching Students with Intensive Communication Needs Prof. Ju...