Understanding Python(Step by step guide for complete NOVICE)

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Understanding Python(Step by step guide for complete NOVICE) is a course for students who are finding it very difficult to understand the common principles of Python programming or who are new to computer programming. It is very simple and easy to understand for beginners who have never program the computer before now. The instructor is a very high experienced teacher, software developer and have also worked with some reputable companies. He has also been teaching computer programming since 2014 and have mastered the art of conveying information for better understanding which have made many of his student excel with less stress in computer programming. Students are advised to follow this course step by step so that they would understand it very well because every lecture is filled with vital information which should not be missed.


How to Win a Data Science Competition: Learn from Top Kagglers Coursera

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About this course: If you want to break into competitive data science, then this course is for you! Participating in predictive modelling competitions can help you gain practical experience, improve and harness your data modelling skills in various domains such as credit, insurance, marketing, natural language processing, sales' forecasting and computer vision to name a few. At the same time you get to do it in a competitive context against thousands of participants where each one tries to build the most predictive algorithm. Pushing each other to the limit can result in better performance and smaller prediction errors. Being able to achieve high ranks consistently can help you accelerate your career in data science.


Machine Learning and Artificial Intelligence through Python - Online Course

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The course is taken by Dinesh Babu a CBAP certified professional and a Senior Business Analyst. He undertakes Data Analysis Training for Indian as well as students overseas.During his teaching with spans over 8 years, his deep knowledge and expertise on the subject has won his several awards the most notable of which is the Best Data Science Teacher in Delhi- 2017. This course gives an introduction into the field of business intelligence and business analytics-domains which extensively use data to take decisions. The course delves into statistics, quantitative analysis, exploratory predictive models, and fact-based management which are indispensable tools for any aspiring data scientist/analyst. Following are the specialties of the program: 1.


Universities Get Creative with Data Science Education

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"There's always a very long waiting list to get in," he says. But thanks to a new partnership between UCSD and EdX, anybody can take the same course online for free. On September 3, UCSD will start its second round of MicroMasters classes with EdX, which was created by Massachusetts Institute of Technology and Harvard University in 2012 to provide online duplicates of popular classes at major colleges and universities around the country. While about 400 lucky UCSD students will make it into Professor Freund course, there will be anywhere from 20,000 to 30,000 people signed up for the same class on the MicroMasters program (although only around 1,000 will actively participate). "The biggest advantage of it is anybody can take it," Professor Freund tells Datanami.


Introduction to Thermodynamics: Transferring Energy from Here to There Coursera

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About this course: COURSE DESCRIPTION This course provides an introduction to the most powerful engineering principles you will ever learn - Thermodynamics: the science of transferring energy from one place or form to another place or form. We will introduce the tools you need to analyze energy systems from solar panels, to engines, to insulated coffee mugs. More specifically, we will cover the topics of mass and energy conservation principles; first law analysis of control mass and control volume systems; properties and behavior of pure substances; and applications to thermodynamic systems operating at steady state conditions. COURSE FORMAT The class consists of lecture videos, which average 8 to 12 minutes in length. The videos include integrated In-Video Quiz questions.