The Accountant Connect Certification Program is designed to provide accounting professionals with the knowledge, skills, and expertise needed to become proficient in the use and application of Accountant Connect. THIS COURSE IS LIMITED TO LEARNERS IN THE UNITED STATES. Co-developed with Rootworks – the accounting profession’s premier firm improvement organization – and presented by its founder Darren Root, CPA, Accountant Connect product developer Rhonda Shurter, and experts from Wolters Kluwer – the self-study curriculum provides a thorough review of the key tasks and features of Accountant Connect that can help to modernize your firm’s payroll process, improve efficiency, and strengthen advisory services. Upon passing ADP's Accountant Connect certification exam, you’ll obtain an official certificate, 3 CPE Credits, as well as a digital badge, to help strengthen your firm’s marketing and showcase your expertise. Add it to your firm’s website and share it on social media with current and prospective clients to further solidify your role as their most trusted advisor. Important Note: We recommend that you are an active user of Accountant Connect to register for this certification program. If you are a RUN Partner/Wholesaler please access Accountant Connect through the RUN platform. You can otherwise, access the Accountant Connect tool at the following link: https://www.adp.com/logins/adp-accountant-connect.aspx. Certification Benefits: Upon successful completion of the program, you’ll unlock many valuable benefits that can help both your firm and your clients, including: • Recognition as a Certified Partner in ADP Accountant Connect • An expanded skillset to perform advanced tasks using Accountant Connect • Help to enhance your firm’s efficiency and earnings potential • Expanded career opportunities • Earn 3 CPE credits from Wolters Kluwer CPELink while earning your certification • Exclusive promotions and discounts made available throughout the year to Certified Partners Program Content: This 3-hour and 15-minute course reviews the key tasks and features of Accountant Connect and prepares you for the certification exam. Topics include adding and working with clients, automating reports and tax forms, advising clients with the analysis tools, and leveraging the products and services offered through Accountant Connect, including the Wolters Kluwer’s CCH Resource Library. Getting Started: In order to earn your Certified Partner in ADP Accountant Connect certification, at the end of this self-study curriculum here in Coursera, you must: • Register for the certification exam by clicking the link provided at the end of this course and following the instructions for purchase. The cost of the exam is $295. • Pass the certification exam.

This course introduces you to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. You will gain an understanding of the modern data ecosystem and the role Data Engineers, Data Scientists, and Data Analysts play in this ecosystem. The Data Engineering Ecosystem includes several different components. It includes disparate data types, formats, and sources of data. Data Pipelines gather data from multiple sources, transform it into analytics-ready data, and make it available to data consumers for analytics and decision-making. Data repositories, such as relational and non-relational databases, data warehouses, data marts, data lakes, and big data stores process and store this data. Data Integration Platforms combine disparate data into a unified view for the data consumers. You will learn about each of these components in this course. You will also learn about Big Data and the use of some of the Big Data processing tools. A typical Data Engineering lifecycle includes architecting data platforms, designing data stores, and gathering, importing, wrangling, querying, and analyzing data. It also includes performance monitoring and finetuning to ensure systems are performing at optimal levels. In this course, you will learn about the data engineering lifecycle. You will also learn about security, governance, and compliance. Data Engineering is recognized as one of the fastest-growing fields today. The career opportunities available in the field and the different paths you can take to enter this field are discussed in the course. The course also includes hands-on labs that guide you to create your IBM Cloud Lite account, provision a database instance, load data into the database instance, and perform some basic querying operations that help you understand your dataset.

This is a self-paced lab that takes place in the Google Cloud console. This page shows you how to create a streaming pipeline using a Google-Provided Cloud Dataflow template.

By the end of this course you will be able to start writing your own Jenkins scripts either in the Jenkins UI or as Jenkinsfile over a multi-stage CD workflow.

This is a self-paced lab that takes place in the Google Cloud console. Containers are becoming a popular way to run and scale applications across multiple cloud providers or on both cloud and on-premise hardware. This lab provides a quick introduction to running a MongoDB database on Kubernetes Engine using Docker.

This course sensitizes regarding privacy and data protection in Big Data environments. You will discover privacy preserving methodologies, as well as data protection regulations and concepts in your Big Data system. By the end of the course, you will be ready to plan your next Big Data project successfully, ensuring that all privacy and data protection related issues are under control. You will look at decent-sized big data projects with privacy-skilled eyes, being able to recognize dangers. This will allow you to improve your systems to a grown and sustainable level. If you are an ICT professional or someone who designs and manages systems in big data environments, this course is for you! Knowledge about Big Data and IT is advantageous, but if you are e.g. a product manager just touching the surface of Big Data and privacy, this course will suit you as well.

Internet of Things (IoT) is an emerging area of information and communications technology (ICT) involving many disciplines of computer science and engineering including sensors/actuators, communications networking, server platforms, data analytics and smart applications. IoT is considered to be an essential part of the 4th Industrial Revolution along with AI and Big Data. This course aims at introducing IoT Cloud platforms from Samsung, Microsoft, Amazon, IBM and Google and how they can be used in developing IoT applications. This course will be offered in English. Subtitles/captions in English and will be also provided. IoT (Internet of Things, 사물인터넷)는 최근 중요한 정보통신기술로 주목 받고 있으며 센서/ 제어기, 통신 네트워크, 서버 플랫폼, 데이터 분석, 스마트 앱 등의 컴퓨터공학 기술들이 융합된 기술입니다. IoT는 인공지능, 빅데이터와 함께, 4차산업혁명의 3대 핵심 기술 중 하나로 손꼽히고 있습니다. 글로벌 Cloud 서비스 제공자들이 IoT를 특별히 지원하기 위하여 개발한 IoT Cloud 플랫폼들을 소개합니다. 이것들을 활용하여 다양한 IoT 어플리케이션을 개발할 수 있습니다. 본 과목은 영어로 진행되며, 영문자막(일부 한글과 영문 모두)을 제공합니다.

In this project you will use COBOL code to read the data records from a sequential file. You will code, compile, and run programs using the PC-based COBOL IDE called OpenCobolIDE. Since COBOL is often used with large amounts of data, the ability to process files—to read the records in them as input and write the records as output—is a critical skill for any COBOL programmer.

Workplaces and educational institutions are becoming increasingly aware of the importance of inclusivity in their forces, and there are significant efforts being made to promote cultures of inclusivity. Despite that, the needs of disabled workers and students remain largely overlooked by a working society of abled persons even though great advances have been made in widely available Assistive Technology. In this course, learners will gain increased awareness of many types of disabilities represented in the workforce and educational institutions. Learners will learn about the Assistive Technology (AT) tools built into Microsoft and Windows products, including screen readers, Immersive Reader, Accessibility Checker, etc. as well as how to instruct in their use. Learners will become proficient in inclusive communication practices in the workplace or classroom by learning to construct accessible written materials and presentations. The course will offer audiovisual storytelling to encourage active learning about a world outside of “abled privilege.”

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how Authorized Views in BigQuery can be shared and consumed to create customer-specific dashboards.