AICPA Certification : Data Analytics Certificate Bundle Program
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How It Works β Enrollment to Certification
Step 1: Purchase on EduyushΒ β You'll receive an order confirmation immediately.
Step 2: AICPA Activation (within 3 working days)Β β AICPA sends your login credentials directly to the email used during checkout.β
Step 3: Self-Paced LearningΒ β Access all course modules online. Study at your own pace within the 12-month access window.
Step 4: Pass Module AssessmentsΒ β Each module ends with an MCQ evaluation. Score 70% or above to pass. You can retake assessments unlimited times.β
Step 5: Earn Your Certificate & Digital BadgeΒ β Once all modules are cleared, your certification is granted. You'll receive a badge notification fromΒ admin@credly.comΒ within approximately 15 business days.β
Step 6: Share on LinkedInΒ β Accept your badge on Credly and add it to your LinkedIn profile under Licenses & Certifications.
Your AICPA Digital Badge
What is a digital badge?
A digital badge is a verified, portable credential issued through Credly (formerly Acclaim) that validates you've completed an AICPA & CIMA certificate program. It contains embedded metadata about what you learned and the criteria you met.β
How do I receive it?
Within approximately 15 business days of completing all modules, you'll get an email fromΒ admin@credly.comΒ with a link to accept your badge.β
Where can I display it?
LinkedIn (under Licenses & Certifications), email signatures, personal websites, resumes, and professional portfolios. Credly provides direct share buttons for major platforms.
Is it verifiable?
Yes. Every badge has a unique URL linked to your verified profile on Credly. Anyone can click the badge to confirm it's authentic and see the specific competencies it represents.β
Does it expire?
The badge itself doesn't expire. It's a permanent record of your achievement.
Access, Activation & Course Format
- Format:Β 100% online, self-paced eLearning
- Activation:Β Within 3 working days of purchase, AICPA sends credentials to your registered email
- Access Duration:Β 12 months from activation date
- Assessment Format:Β MCQ evaluations at the end of each module
- Passing Score:Β 70% per module
- Retakes:Β Unlimited β no additional fees
- Prerequisites:Β No prior data analytics experience required (individual product pages note recommended prior certificates where applicable)
- Language:Β English
- Device Compatibility:Β Desktop and laptop recommended for best experience
CPE Credits & NASBA Recognition
What are CPE credits?
Continuing Professional Education (CPE) credits are required by licensing boards (including State Boards of Accountancy) for CPAs and other finance professionals to maintain their credentials. These AICPA certificates count toward your annual CPE requirement.
Is this NASBA-recognized?
Yes. AICPA is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education. These courses meet NASBA QAS standards.
Fields of Study:
Varies per certificate (Information Technology, Communications & Marketing, Personal Development). Shown in each product's Key Course Details section.
About theΒ Data Analytics Certificate Program
The Data Analytics Certificate is an immersive learning experience that equips you with the data analytics knowledge to be a business leader and apply your technical skills in the real world. Β Data Analysts help leaders make informed, data-driven decisions to drive the company forward, improve efficiency, increase profits, and achieve organizational goals.
As organizations become more tech-driven, collect moreΒ data, and rely on that data for decision-making, it's becoming increasingly crucial for accounting and finance professionals to keep up with these changes. So we developed our Data Analyst Certificate as a comprehensive five-part course that provides training and practical guidance on data analytics. We cover everything from basic concepts to advanced techniques in this comprehensive curriculum. This course isΒ designed to learn at your own pace (no live classes required) and work on certification testing at your convenience right from your home or office.
Why?
TheΒ Data Analyst Certificates bundleΒ is a comprehensive five-part program that provides training and practical guidance on data analytics. The bundle includes five sequential certificate programs:
- Data Analytics Core Concepts CertificateΒ β This certificate program provides an essential guide to the core concepts used in data analytics. It explains how these can be applied when identifying, establishing, and implementing a data analytics project in your organization.
- Application of Data Analysis Essentials CertificateΒ β This intermediate certificate offers hands-on experience regarding how to analyze data and calculate fundamental aspects of your data sets and provides the core concepts and definitions of data analytics.
- Data Analytics Modeling CertificateΒ β This certificate will expand your ability to work with structured and unstructured data to drive a successful analytics practice.
- Forecasting and Predictive Analytics CertificateΒ β This certificate will teach you fundamental techniques used for predictive analytics: regression, classification, clustering, optimization, and simulation.
- Data Visualization CertificateΒ β This certificate will teach you fundamental visualization techniques and explore a sampling of the most common reporting tools for producing meaningful visualizations.
By purchasing the bundle, you save up to $800 versus buying the certificates individually.
Note:Β It is recommended that you complete each certificate in sequential order as the content presented in each certificate builds on training in previous certificates.
Learning Labs:Β Bonus simulated learning labs with step-by-step guidance expose you to the tools needed to implement an analytics practice and equip you to deploy those tools. Labs are included with all the certificates except the Data Analytics Core Concepts Certificate.
Digital Badge:Β On completion of each certificate, you will receive a digital badge to share with your online professional network. The badge is also available as a downloadable PDF certificate suitable for printing and framing.
Other information| CPE Credits |
61 |
|---|---|
| PrerequisiteΒ | It is recommended that you complete each certificate in sequential order as the content presented in each certificate builds on training in previous certificates. |
| Format: | Course - Online |
| Access: | This is a digital product. You will have access to the content for a year after purchase date.. |
Learning Outcomes
- Recall the characteristics of an analytical and data-driven mindset.
- Recognize how to establish objectives and desired outcomes of a data analytics project.
- Recognize ways data is applied and interpreted.
- Calculate meaningful statistics, including central tendency, measurement and variability, basic probability, conditional probability, advanced probabilities, discrete distributions, and continuous distributions.
- Identify opportunities, processes, and necessary data for solving analytical problems.
- Align the outcomes of your data analytics practice with your organization's strategic direction and create value.
- Identify different techniques of predictive analytics: regression, classification, clustering, optimization, and simulation.
- Formulate a data story using visualization tools.
Topics covered
Part 1 β Data Analytics Core Concepts Certificate
- Define the characteristics of an analytical and data-driven mindset.
- Recognize how to establish objectives and desired outcomes of a data analytics project.
- Recognize ways data is described and interpreted.
Part 2 - Application of Data Analysis Essentials Certificate
- Determine and classify variables.
- Calculate central tendency.
- Calculate measurement and variability.
Part 3 - Data Analytics Modeling Certificate
- Identify opportunities, processes, and necessary data for solving analytical problems.
- Apply data profiling techniques to available data.
- Apply data cleansing techniques.
Part 4 - Forecasting and Predictive Analytics Certificate
- Identify the different techniques of predictive analytics: regression, classification, clustering, optimization and simulation.
- Calculate varying types of regressions using R and Excel.
- Apply classification and clustering algorithms.
Part 5 - Data Visualization Certificate
- Formulate a data story with visualizations
- Identify key stake holder perspectivesv
- Determine organizational data needsΒ
