In this video course, you'll explore the field of web and digital analytics. You'll learn about the various roles in digital analytics and discover the skills and education you need to get into these roles.
The Chef-Certified beginner's guide to developing cookbooks locally and distributing changes with a Chef Server
In this practical, hands-on course, you'll learn how to use R for effective data analysis and visualization and how to make use of that data in a practical manner. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.
This course focuses on understanding all the basic theory and programming skills required as a data scientist, featuring 35+ practical case studies covering common business problems faced by them. This course seeks to fill all those gaps in knowledge that scare off beginners and simultaneously apply your knowledge of data science and deep learning to real-world business problems.
This course takes you through all the important topics of data structure and algorithms from scratch. You will learn how to solve real-world problems with linked lists, stacks, queues, sorting algorithms, and a lot more using Python.
With this course, you will kick start your journey of creating awesome GUI applications in Python using the Tkinter library. During the process, you will become familiar with the GUI widgets, application layout, and executable files.
Learn the basics and the advanced concepts of Tableau to create stunning and detailed visualizations. This course provides step-by-step guidance on how we can make data easier to understand and easier to interpret by using visualizations. We'll be working with Tableau 2020.3.
https://www.google.com/maps/place/Medical+Aesthetics+Academy/@41.4063155,2.1260623,17z/data=!3m2!4b1!5s0x12a4981430a548fb:0xc7a59105a7e8e9b6!4m5!3m4!1s0x12a499bf3d7c5363:0x582e58af45180d55!8m2!3d41.4063115!4d2.1282563
his module describes the roles of the various players in the procedure, the sequence and duration of the stages involved, and the requirements on content, format and timing of submissions. It discusses the special issues that apply to generic products in the MRP.
The sponsor of a clinical trial must arrange for it to be monitored throughout its duration to ensure that the rights and wellbeing of subjects are protected, the trial data are accurate, complete and verified from source documents, and the conduct of the trial complies with the study protocol, Good Clinical Practice and regulatory requirements. In this module we describe how a Clinical Research Associate (CRA) monitors an ongoing trial to its conclusion.