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AICPA Certification : Data Analytics Modeling Certificate
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AICPA Certification : Data Analytics Modeling Certificate
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$1,148.00
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$574.00
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There's an MCQ assessment at the end of each online module. You need to score 70% on the evaluation to clear the module. Once you complete all the modules, your certification is granted.
You can retake the assessments as many times as you want
Theres huge demand for data analytics globally. Jobs listed on the AICPA site for finance professional averages between 3K to 5K globally.
Data analytics jobs in India for finance average 1K to 2K.
The link to apply for Data analytics jobs on the AICPA site is here
Impress recruiters and your professional network with a digital badge.
Once you score 70% in your assessments, you get your digital badge to broadcast to the world.
A digital badge helps you gain recognition for earning your certificate by allowing you to display and share your achievement easily.
Prospective clients and employers will be able to verify your competencies and skills quickly.
The digital badge also provides greater credibility and visually declares your commitment to quality. According to a recent LinkedIn study, profiles with certifications and badges receive six times the number of profile views.
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URL: https://eduyush-aicpacima.bridgeapp.com
User Name: info@eduyush.com
Password : Eduyush@123
Avail No Cost EMI offer as follows:
Spends above INR20K - 3 months
Spends above INR50K - 6 months
* Valid Select Indian cards only
* You have twelve (12) months from the date of purchase to complete the entire program.
Students will receive an activation directly from AICPA within three working days after enrolling with us
Data Analytics Modeling Certificate
Earners of this certificate drive successful analytics practices by defining clear business outcomes to ensure efforts align with organizational strategic direction. Badge earners manipulate and work with structured and unstructured data, profile data, and apply cleansing techniques to maintain data quality throughout the data-life cycle. These candidates apply ETL (extract, transform, load) techniques to data models and use sophisticated tools for managing an ongoing data practice.
Why?
This certificate is Part 3 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 Analytics Modeling Certificate will expand your ability to work with structured and unstructured data to drive a successful analytics practice. To start, you will learn to define clear business outcomes for your analytics practice to ensure your efforts align with your organization's strategic direction and create value. Next, you will learn data profiling and data cleansing techniques to maintain data quality throughout the data life cycle. You'll practice ETL (extract, transform, load) techniques and work with different data models and analytics tools. Finally, you will learn how to institute sophisticated tools for managing an ongoing enterprise data practice, including tools for data warehousing, managing the data life cycle, and working with structured and unstructured data.
Note: It is recommended that you complete the Application of Data Analysis Essentials Certificate, or ensure you have equivalent knowledge and skills, before starting this certificate course.
Learning Labs: This is an interactive learning program that includes bonus simulated learning labs with step-by-step guidance that will expose you to the tools needed to implement an analytics practice in a practical way and equip you to deploy those tools as needed within your organization. You will practice using various technologies for preparing, analyzing and managing datasets in the real world. *Time spent on learning labs does not award CPE and completing learning labs is not a requirement for earning the certificate
Who?
Accounting and finance professionals, especially those interested in learning and applying data analysis techniques to help their organizations make informed, data-driven business decisions.
Other information| CPE Credits |
14 |
|---|---|
| Format: | Course - Online |
| Access: | This is a digital product. You will have access to the content for a year after purchase date. |
Learning Outcomes
- Identify opportunities, processes, and necessary data for solving analytical problems.
- Apply data profiling and data cleansing techniques to available data.
- Use data preparation and enrichment tools.
- Use ETL (extract, transform, load) tools.
- Compare data warehousing techniques.
- Use data warehousing and data management tools.
- Align the outcomes of your data analytics practice with your organization's strategic direction and create value
Key Topics covered
- Defining value and tying analytics to value-driven business cases
- Understanding the characteristics of data and how they can be leveraged to gather insights from information
- Identifying project constructs for data analytics
- Identifying different types of data with which analysts will be expected to interact
- Profiling data for accurate analysis initiatives
- Understanding tool capabilities for working with data
- Cleansing data with appropriate tools to increases analytics accuracy
- Managing data quality and integrity
- Extracting, transforming, and loading data
- Implementing a data warehouse
- Managing the data life cycle
- Creating and using different types of data models
- Tools for working with both structured and unstructured data
AICPA FAQ's
Data analytics certification
The certificate program is designed for accounting and finance professionals of any size organization, from any industry interested in learning and applying data analysis techniques to help their organization make informed, data-driven business decisions. The participants are presented with a comprehensive model for understanding the life cycle of organizational data and are given a guided tour of the many tools available for integrating and analyzing data throughout its life cycle.
There is no prerequisite for the Data Analyst Certificate Program. You may opt to take any of the individual data analytics certificates that make up the Data Analyst Certificate Program. You will need prior knowledge in the subject area, or it is recommended that you complete the previous certificate in the series.
The program is a self-paced online format. There are assessments at the end of each module. Upon completion, you will be awarded a digital badge.
The courses in the USGAAP Certificate program will be classified as Accounting for purposes of granting CPE credits. As with other AICPA courses that are approved for other certifications, we fully expect the USGAAP Certificate courses will satisfy those requirements. To be certain, please check with the organization that issues your CMA, CIA or other certifications.
Digital Badge FAQ's
A digital badge is a validated, visual representation of your significant achievement with a specific description of the knowledge and skills you’ve achieved to earn it.
Digital badges are quickly becoming the global standard for recognising and publicising professional development. Sharing your digital badge with your social and professional networks (see “How do I share my badge?” below) helps you gain recognition for your achievement from clients, colleagues, and potential employers.
A digital badge strengthens the credibility and visually declares your commitment to quality. According to a recent LinkedIn study, profiles with certifications and badges receive six times the number of profile views. Watch this video(1:38) for an overview.
Once a digital badge’s specific criteria are met, you will be issued a digital badge approximately 15 business days or less. You will receive an email fromadmin@youracclaim.comwith instructions and a link to claim your badge on the Acclaim platform.
Once you’ve created an account on youracclaim.com and have accepted your digital badge, click on it and choose to “Share” to your choice of social media networks, such as LinkedIn, Facebook, Twitter or Xing. You can also include the digital badge in your e-mail signature, digital resume or your personal blog/website.
From the “Share” menu, choose the “Download Badge” option (downward arrow icon) to download the badge as a PNG file. Then, look for the link icon to link the PNG image to your verifiable badge. Or, copy the HTML code from the embed icon (left and right arrows with a forward slash in between them) and use that on your web page, blog or any platform that accepts HTML.
Important! For your badge to be verified and allow others to see your accomplishment, the badge must be linked through the Acclaim platform.
You can link multiple e-mail addresses to the Acclaim platform , so if your digital badge is delivered to your work e-mail, but your social media accounts are linked to a personal e-mail, it is a seamless experience to share your accomplishment. These instructions are also available here.
You can also watch this video (:40) on how to share your badge.
Your badge must be linked to your profile on the ACPA and CIMA Acclaim platform, which contains verified information.
Every digital badge has a unique URL that should be embedded in your social profile or website.
This badge doesnt expire
No, your digital badge is awarded to the name and email address you used to complete your purchase on the AICPA Store. If someone were to copy the badge it would not be linked and, therefore, unverified and invalid. If you notice misuse of your digital badge image or URL, please contact us atdigitalbadge@aicpa-cima.com.
Why choose AICPA
certificates?
AICPA & CIMA data analytics certificates are designed by experts to help future-proof your career.
Specialized training: The information you need in the formats you want. Self-study courses let you learn at your pace, and 100% online.
Career development : The demand for data analytics skills is growing, and you’ll earn CPE at the same time you develop critical competencies.
Relevant skills : By developing new competencies and an analytical, data-driven mindset, you can take the lead in advising business strategy.
Are you ready for Data Analytics
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