Data Analysis Fundamentals Certificate

Data Analysis Fundamentals Certificate

The Data Analysis Fundamentals Certificate (10.0 CPE Credits) provides you with the knowledge on the different job roles involved in the analytics practice and the most commonly encountered technologies in today's data ecosystem. This certificate is Part 1 of the Data Analyst Certificates Bundle - a comprehensive five-part program that provides training and practical guidance on the topic of data analytics. The Data Analysis Fundamentals Certificate begins with a foundational understanding of the need of transformational assets within an organization and explains the importance of intelligent data management and corresponding analytics practice. This certificate program aims to provide you with the knowledge on the different job roles involved in the analytics practice and the most commonly encountered technologies in today's data ecosystem. It will cover concepts behind the most common types of data you will need to be prepared to analyze, as well as help you explore the factors impacting data practice. This certificate program will also explain why intelligent data management and a corresponding analytics practice is critical for the success of both the organization and the professional. WHO WILL BENEFIT Accounting and finance professionals, especially those interested in learning and applying data analysis techniques to help their organizations' make informed, data-driven business decisions. KEY TOPICS The business impacts and disruptive potential of organizational data Basic concepts behind different types of data and how they're used The job roles and duties associated with data analytics The life cycle of organizational data and how to manage it A vocabulary for evaluating and communicating in data practice Exposure to and demonstrations of tools used for managing and analyzing data Common obstacles and hurdles to effectively leveraging data in an organization How to tie data to business requirements and build business cases LEARNING OBJECTIVES Determine how the digital transformation and disruption landscape create a competitive advantage across the enterprise. Identify the organizational ecosystem needed for becoming a data-driven organization. Analyze the life cycle of data and its implications for data-driven decision making. Compare common problems and risks associated with becoming a data-driven business. Differentiate between data analysis tools. Identify requirements for data-driven projects. Digital Badge: Your Professional Distinction Set yourself apart as a future-ready financial professional. Upon completion, you will be awarded with a certificate in the form of a digital badge. Digital badges allow you to distinguish yourself in the marketplace and show your commitment to quality. The badge can be posted to your social media profiles and linked to your resume or email signature, providing maximum visibility to your achievement. Credit Info CPE CREDITS: Online: 10.0 (CPE credit info) NASBA FIELD OF STUDY: Specialized Knowledge LEVEL: Basic PREREQUISITES: None ADVANCE PREPARATION: None DELIVERY METHOD: QAS Self-Study COURSE ACRONYM: DALP-S1 Online Access Instructions A personal pin code is enclosed in the physical packaging that may be activated online upon receipt. Once activated, you will gain immediate online access to the product for one full year. System Requirements AICPA’s online CPE courses will operate in a variety of configurations, but only the configuration described below is supported by AICPA technicians. A stable and continuous internet connection is required. In order to record your completion of the online learning courses, please ensure you are connected to the internet at all times while taking the course. It is your responsibility to validate that CPE certificate(s) are available within your account after successfully completing the course and/or exam. Supported Operating Systems: Macintosh OS X 10.10 to present Windows 7 to present Supported Browsers: Apple Safari Google Chrome Microsoft Internet Explorer Mozilla Firefox Required Browser Plug-ins: Adobe Flash Adobe Acrobat Reader Technical Support: Please contact [email protected].

IoT Fundamentals

Fundamentals of Data Analytics

: Data analytics help a business optimize its performance, perform more efficiently, maximize profit, or make more strategically-guided decisions. The techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption. Various approaches to data analytics include looking at what happened (descriptive analytics), why something happened (diagnostic analytics), what is going to happen (predictive analytics), or what should be done next (prescriptive analytics). Data analytics relies on a variety of software tools ranging from spreadsheets, data visualization, and reporting tools, data mining programs, or open-source languages for the greatest data manipulation.