Applied Social Network Analysis in Python Coursera

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About this course: This course will introduce the learner to network analysis through the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness.. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem.


Linear Circuits 2: AC Analysis Coursera

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About this course: This course explains how to analyze circuits that have alternating current (AC) voltage or current sources. Circuits with resistors, capacitors, and inductors are covered, both analytically and experimentally. Some practical applications in sensors are demonstrated.


From Zero to NVivo - Qualitative data analysis with NVivo

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In this online NVivo course, I aim to pass on my extensive NVivo expertise to you. I don't make empty promises - I guarantee that you will be able to use this software to conduct professional Qualitative data analysis once you complete the course! The ability to use data analysis software is among the top requirements for research-related jobs. I have experienced this first hand - I have worked as a researcher for a number of top universities (e.g. Oxford and Edinburgh) and participated in large-scale studies funded by organisations such as the British Council and Erasmus.



Applied Statistical Modeling for Data Analysis in R

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The course will mostly focus on helping you implement different statistical analysis techniques on your data and interpret the results. After each video you will learn a new concept or technique which you may apply to your own projects immediately! TAKE ACTION NOW:) You'll also have my continuous support when you take this course just to make sure you're successful with it. If my GUARANTEE is not enough for you, you can ask for a refund within 30 days of your purchase in case you're not completely satisfied with the course.