Search result for Data driving course Online Courses & Certifications
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Motion Planning for Self-Driving Cars
by Steven Waslander , Jonathan Kelly- 4.8
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Approx. 32 hours to complete
Welcome to Motion Planning for Self-Driving Cars, the fourth course in University of Toronto’s Self-Driving Cars Specialization. This course will give you the ability to construct a full self-driving planning solution, to take you from home to work while behaving like a typical driving and keeping the vehicle safe at all times....
Visual Perception for Self-Driving Cars
by Steven Waslander- 4.7
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Approx. 31 hours to complete
Welcome to Visual Perception for Self-Driving Cars, the third course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the main perception tasks in autonomous driving, static and dynamic object detection, and will survey common computer vision methods for robotic perception. Welcome to Course 3: Visual Perception for Self-Driving Cars...
What is Data Science?
by Rav Ahuja , Alex Aklson- 4.7
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Approx. 9 hours to complete
The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. A day in the Life of a Data Scientist How Big Data is Driving Digital Transformation...
3D Data Visualization for Science Communication
by Kalina Borkiewicz , AJ Christensen- 0.0
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Approx. 32 hours to complete
This course is an introduction to 3D scientific data visualization, with an emphasis on science communication and cinematic design for appealing to broad audiences. Course Orientation Welcome to 3D Scientific Data Visualization! Data and Visualization Ethics Week 2: Data Data Representation Finding and Using Data Week 2 Quiz 1: What Scientific Data Looks Like Driving Visual Features with Data...
State Estimation and Localization for Self-Driving Cars
by Jonathan Kelly , Steven Waslander- 4.7
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Approx. 27 hours to complete
Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto’s Self-Driving Cars Specialization. We recommend you take the first course in the Specialization prior to taking this course. Module 0: Welcome to Course 2: State Estimation and Localization for Self-Driving Cars Welcome to the Course...
Autonomous Cars: Deep Learning and Computer Vision in Python
by Sundog Education by Frank Kane- 4.2
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13 hours on-demand video
The course is targeted towards students wanting to gain a fundamental understanding of self-driving vehicles control. However, these topics will be extensively covered during early course lectures; therefore, the course has no prerequisites, and is open to any student with basic programming knowledge. Analyze and visualize data with Numpy, Pandas, Matplotlib, and Seaborn...
$12.99
Responsible Innovation: Ethics, Safety and Technology
by Jeroen van den Hoven- 0.0
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7 Weeks
There is no doubt that technological innovation is one of the key elements driving human progress. This course will give you a framework to do so. Case studies (ethical concerns, risks) for reflection and discussions during the course include – among others- the coronavirus, nanotechnology, self-driving vehicles, robots, AI, big data & health, nuclear energy and CO2 capture and coolants....
$50
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Big Data Fundamentals
by Frank Neumann , Vahid Roostapour , Aneta Neumann , Wanru (Kelly) Gao- 0.0
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10 Weeks
Learn how big data is driving organisational change and essential analytical tools and techniques, including data mining and PageRank algorithms. In this course, part of the Big Data MicroMasters program, you will learn how big data is driving organisational change and the key challenges organizations face when trying to analyse massive data sets....
$199
Principles of Modeling, Simulations, and Control for Electric Energy Systems
by Marija Ilic , Rupamathi Jaddivada , Pallavi Bharadwaj- 0.0
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12 Weeks
This course is designed for people engaging the energy transition across disciplines and professions. Policymakers in government and leaders in non-governmental organizations (NGOs) will find strategies for building resilience in grid infrastructure, driving more equitable access to energy, and driving higher renewable energy penetration in local markets....
$149
An Introduction to Practical Deep Learning
by Andres Rodriguez , Nikhil Murthy , Hanlin Tang- 4.3
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Approx. 17 hours to complete
This course provides an introduction to Deep Learning, a field that aims to harness the enormous amounts of data that we are surrounded by with artificial neural networks, allowing for the development of self-driving cars, speech interfaces, genomic sequence analysis and algorithmic trading....
