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Introduction to Computational Thinking and Data Science ...
- https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/
- 6.0002 is the continuation of 6.0001 Introduction to Computer Science and Programming in Python and is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that ...
Lecture 11: Introduction to Machine Learning Lecture ...
- https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/lecture-videos/lecture-11-introduction-to-machine-learning/
- We've got data from, I don't know, John, thousands of students, probably over this time. Let's just build a little learning algorithm that takes a set of data and predicts your final grade. You don't have to come to class, don't have to go through all the problems, because we'll just predict your final grade.
Introduction to Computation and Programming Using Python ...
- https://www.amazon.com/Introduction-Computation-Programming-Using-Python/dp/0262529629
- Ordered this book to use in conjunction with MIT free online class "Introduction to Computational Thinking and Data Science", MIT Course Number 6.0002. Good material presented in a logical and clear progression.
Computer Science, Economics, and Data Science (Course 6-14)
- http://catalog.mit.edu/degree-charts/computer-science-economics-data-science-course-6-14/
- Bachelor of Science in Computer Science, Economics, and Data Science General Institute Requirements (GIRs) ... or 6.0002: Introduction to Computational Thinking and Data Science: Economics: 14.01: Principles of Microeconomics 1: 12: 14.32: Econometric Data Science: 12:
Help Queue - Massachusetts Institute of Technology
- https://sicp-s1.mit.edu/spring21/queue
- Jan 12, 2021 · Help Queue Programming Resources General MIT Help Forum 6.0002 MITx 6.0002. Log In ☰ Home / Help Queue. Introduction to Computational Thinking and Data Science (Spring 2021) You are not logged in. If you are a current student, ... you consent to having your data logged for course management and/or scientific research
Minor in Computer Science MIT EECS
- https://www.eecs.mit.edu/csminor
- 6.0001 Introduction to Computer Science Programming in Python (6) 6.0002 Introduction to Computational Thinking and Data Science (6) 6.01 Introduction to EECS via Robotics (12) 6.02 Introduction to EECS via Communication Networks (12) 6.08 Introduction to EECS via Interconnected Embedded Systems (12)
Statistics and Data Science MicroMasters
- https://micromasters.mit.edu/ds/faq/
- Learners without Python proficiency must take Introduction to Computer Science and Programming in Python (6.0001) and/or Introduction to Computational Thinking and Data Science (6.0002). One or both must be completed before pursuing course 6.86x Machine Learning with Python, where it will be used to implement machine learning algorithms.
Electrical Engineering and Computer Science (Course 6) < MIT
- http://catalog.mit.edu/subjects/6/
- 6.0002 Introduction to Computational Thinking and Data Science. Prereq: 6.0001 or permission of instructor U (Fall, Spring; second half of term) 3-0-3 units Provides an introduction to using computation to understand real-world phenomena.
Department of Aeronautics and Astronautics < MIT
- http://catalog.mit.edu/schools/engineering/aeronautics-astronautics/
- Subjects 6.0001 Introduction to Computer Science Programming in Python and 6.0002 Introduction to Computational Thinking and Data Science can be taken at any time, starting in the first year of undergraduate study, but the fall term of the sophomore year is recommended.
Undergraduate Programs MIT EECS
- https://www.eecs.mit.edu/academics-admissions/undergraduate-programs/
- Dec 01, 2012 · 6.0001 Introduction to Computer Science Programming in Python and 6.0002 Introduction to Computational Thinking and Data Science are a good place to start! Click the link for more information about the courses and the 6.0001 Advanced Standing Exam.