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Linux Tools for Developers
by Jerry Cooperstein- 4.6
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Approx. 15 hours to complete
Course 3 is a continuation of the previous course, and will focus on teaching you how to work with tools you need to do your everyday work. The course begins by introducing you to numerous essential command line tools that are used daily. Introduction to sed and awk Introduction to paste, join, and split...
Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python
by Heiner Igel- 4.7
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Approx. 35 hours to complete
This course provides you with a basic introduction how to apply methods like the finite-difference method, the pseudospectral method, the linear and spectral element method to the 1D (or 2D) scalar wave equation. The course targets anyone who aims at developing or using numerical methods applied to partial differential equations and is seeking a practical introduction at a basic level....
Construction Finance
by Ibrahim Odeh, Ph.D., MBA- 4.7
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Approx. 17 hours to complete
The final course of the specialization expands the knowledge of a construction project manager to include an understanding of economics and the mathematics of money, an essential component of every construction project. Introduction To The Construction Finance Course Construction Finance Course Introduction Introduction to Financing Development Projects Introduction to Financial Plans for Development Projects...
Art & Activity: Interactive Strategies for Engaging with Art
by Larissa Raphael , Francis Estrada , Lisa Mazzola- 4.8
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Approx. 9 hours to complete
Introduction to Art and Activity 1 Introduction 8 Introduction to Activities...
Big Data Applications: Machine Learning at Scale
by Alexey A. Dral , Vladimir Lesnichenko , Evgeny Frolov , Ilya Trofimov , Pavel Mezentsev , Emeli Dral- 3.8
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Approx. 28 hours to complete
To become successful, you’d better know what kinds of problems can be solved with machine learning, and how they can be solved. - learn how to work with texts; These people never sleep to babysit this course day and night, to make your learning experience productive, smooth and exciting. Introduction to large scale machine learning...
The Social and Technical Context of Health Informatics
by Harold P. Lehmann, MD, Ph.D.- 4.2
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Approx. 9 hours to complete
These levels range from the external “world” in which the institution operates down to the specific technologies. The course is also aimed at those with technical, engineering, or analytics backgrounds who want to understand the nuances of those topics when it comes to healthcare. Welcome to the Health Informatics Specialization...
Building Fintech Startups in Emerging Markets
by Co-Pierre Georg- 4.5
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Approx. 19 hours to complete
Many of entrepreneurship opportunities in emerging markets arise out of necessity, or the drive to solve a real need or a social problem. Course Trailer: Building Fintech Startups in Emerging Markets Introduction to Week 1 Introduction to Week 2 Introduction to Week 3 Introduction to week 4 What Skills Do You Need to Be an Entrepreneur?...
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Algebra: Elementary to Advanced - Functions & Applications
by Joseph W. Cutrone, PhDTop Instructor- 4.7
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Approx. 6 hours to complete
After completing this course, students will learn how to successfully apply functions to model different data and real world occurrences. This course reviews the concept of a function and then provide multiple examples of common and uncommon types of functions used in a variety of disciplines. Module 1: Introduction to Functions...
Econometrics: Methods and Applications
by Philip Hans Franses , Christiaan Heij , Michel van der Wel , Dennis Fok , Richard Paap , Dick van Dijk , Erik Kole , Francine Gresnigt , Myrthe van Dieijen- 4.6
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Approx. 66 hours to complete
Then Econometrics by Erasmus University Rotterdam is the right course for you, as you learn how to translate data into models to make forecasts and to support decision making. We always advise you to connect with fellow learners of this course to discuss topics and exercises. 1: Introduction to Vectors and Matrices...
Mastering Data Analysis in Excel
by Jana Schaich Borg , Daniel Egger- 4.2
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Approx. 21 hours to complete
Important: The focus of this course is on math - specifically, data-analysis concepts and methods - not on Excel for its own sake. The course does not cover Visual Basic or Pivot Tables and you will not need them to complete the assignments. Introduction to Mastering Data Analysis in Excel Introduction to Using Excel in this Course...
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