In this 1-hour long project-based course ,you will learn how to generate api documentation using the postman tool. In this project, you will get familiar with postman collections , runner , and also create a backend server in nodejs to automate collection testing using the newman library and finally generate collections documentation in pdf format. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

By the end of this project, you will create a Google Sheet that receives customer requests, tracks employee workload, and provides a small business with an overview of current project status and historical data for completed projects. You will learn how to create a custom form and use the data from the form to track requests, assign work to employees, and create a snapshot of current and past projects. Throughout the project you will leverage formulas to automate the Google Sheet in order to effectively and efficiently manage day to day operations. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

The purpose of this course is to help those who are qualified develop confidence to attempt the exam, and to help those not yet qualified to develop their own plan for preparation.

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to implement BigLake tables.

In this 1-hour long project-based course, you will learn how to (create Azure SQL Database from Azure portal and with Data Migration Assistant and understand and know how to use Intelligent Query Processing features in Azure SQL database). Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

In this first course of the Python, Bash and SQL Essentials for Data Engineering Specialization, you will learn how to set up a version-controlled Python working environment which can utilize third party libraries. You will learn to use Python and the powerful Pandas library for data analysis and manipulation. Additionally, you will also be introduced to Vim and Visual Studio Code, two popular tools for writing software. This course is valuable for beginning and intermediate students in order to begin transforming and manipulating data as a data engineer.

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will use BigQuery for data processing and exploratory data analysis, and the Vertex AI platform to train and deploy a custom TensorFlow Regressor model to predict customer lifetime value (CLV). The goal of the lab is to introduce to Vertex AI through a high value real world use case - predictive CLV. Starting with a local BigQuery and TensorFlow workflow, you will progress toward training and deploying your model in the cloud with Vertex AI.

Blue Prism is the global leader in robotic process automation (RPA) and intelligent automation for the enterprise, transforming the way work is done by empowering businesses to automate time-intensive, mundane tasks and to help free-up their employees to be more creative and innovative. In this course, Blue Prism Foundation Training provides a comprehensive introduction to all of the key concepts and activities associated with configuring a Blue Prism Process Solution. It is also the principal activity on the Developer upskilling pathway, should learners wish to attain certified Developer status. Over the course of 12 guided weeks you will learn how to build, test, publish and manage a Blue Prism process automation. With a comprehensive learning experience ensured via our joint approach to delivery: -The Coursera platform will provide you with instructions for each week in the form of video demos and activity sheets, which will also explain each of the technical concepts you will encounter -You will then put this knowledge into practice, by building your own process automation within Blue Prism -The training concludes with an extended exercise for consolidating your skills and with signposting to further learning This course contains subtitles in English, Japanese, Simplified Chinese, Russian, Spanish, French, Portuguese and German.

This course will explore how to create a privacy program including the dangers, challenges and methods. We will also explore concepts like Privacy governance, Privacy program frameworks and discuss existing legal, standards and frameworks that can be utilized to build your privacy program.

In this project, you will use MySQL Workbench to write SQL queries that concatenate or combine multiple data values. Since a database is typically designed to store pieces of data at the atomic level, it is often necessary to put pieces back together to make data more useful to a user. A good example of that would be concatenating a customer’s first name and last name to produce a mailing label.