The D604 assessment
WGU does not publish assessment formats in the catalog. We confirm the current format for your exact catalog year at intake, and the fixed quote covers whichever assessment D604 carries.
WGU course completion
D604 Advanced Analytics, completed for you
At a glance
Last updated
D604 Advanced Analytics (DTAN 6216, 3 CUs in the September 2026 WGU catalog) is the artificial intelligence course of the M.S. Data Analytics data science concentration, running in term 3 beside D602 Deployment and D603 Machine Learning. Per the catalog description it extends analytics techniques from machine learning to artificial intelligence more broadly, covering neural networks, deep learning, and natural language processing, with approaches to developing these models including PyTorch and TensorFlow named outright, applied to complex business challenges including computer vision and sentiment analysis. The catalog states there is no prerequisite for this course. Coursework Ninja completes D604 done-for-you, fixed quote in writing first. From $99. Independent of WGU.
Next question: what does D605 Optimization ask in the concentration's final term?
Per WGU's published description, Advanced Analytics extends analytics techniques from machine learning to artificial intelligence more broadly, including topics in neural networks, deep learning, and natural language processing. The course discusses approaches to developing these models, including PyTorch and TensorFlow, and students learn to apply a combination of techniques to solve complex business challenges including computer vision and sentiment analysis. The description closes with the sentence every planner wants to read: there is no prerequisite for this course.
D604 shares its term with the course it extends. On the data science table (MSDADS 202408), term 3 runs D602 Deployment, D603 Machine Learning, and D604 together: the core's closing course beside the concentration's opening pair. The no-prerequisite statement makes D604 the one concentration course that can start the day term 3 opens, which is exactly how the written plan uses it: the deep learning work starts while the deployment and machine learning work is still in revision. Message us the code in your portal and where you stand, and we quote a flat price in writing.
- Fixed quote in writing before any work, singles from $99
- 3 CUs, term 3 of the M.S. Data Analytics data science concentration
- Neural networks, deep learning, NLP; PyTorch and TensorFlow named
- Folds into the $3,500 master's package with the 6-month guarantee
Every full package includes the written 6-month guarantee: we finish the remaining CUs under the agreed plan, or you do not pay. Packages: Bachelor's $3,000 · Master's $3,500 · both $5,500 · single assessments from $99.
Coverage
What D604 completion covers
Neural networks and deep learning
The description's first extension beyond classical machine learning: neural networks and deep learning as analytics techniques, graded as applied methods rather than theory recitation.
Natural language processing
NLP is named as a core topic, with sentiment analysis later named as one of the business challenges. The scored work treats text as data, which is where tabular-data analysts slow down.
PyTorch and TensorFlow
The description names both frameworks as approaches to developing the models. Tooling familiarity is assumed by this point in the degree; the graded question is which approach fits the challenge.
The two named business challenges
Computer vision and sentiment analysis are the description's own examples of complex business challenges. Answers scoped to generic prediction problems leave the named rows uncovered.
Full degree plan integration
D604 alone is a single from $99. On a remaining master's list it folds into the flat $3,500 master's package with the written 6-month finish guarantee covering every course on the plan, this one included.
Stuck on one of these right now?
Send the course code on Telegram or WhatsApp. Single-course completions start at $99 with a fixed quote in writing before any work begins.
Bottlenecks
Where D604 stalls the data science concentration
D604 stalls by scope jump: one course from classical models to neural networks, deep learning, and NLP. These are the stalls we take over most often.
- Framework tutorials collected for weeks while the scored deliverable, a technique combination argued against a business challenge, goes unwritten.
- Deep learning vocabulary recited without the applied connection the description names: computer vision and sentiment analysis.
- NLP treated as an aside when the description lists it beside neural networks and deep learning as a core topic.
- The no-prerequisite line misread as no bar: the course assumes the whole core underneath it even though the catalog gates it with nothing.
- Term 3 underestimated as three simultaneous courses, so D604 absorbs the leftover hours after D602 and D603.
Only need one course finished? Single OA / PA / CU completion starts at $99. Message us the course code for a fixed quote. See full package pricing.
Questions, answered
Per the September 2026 WGU institutional catalog, Advanced Analytics (DTAN 6216, 3 CUs) extends analytics techniques from machine learning to artificial intelligence more broadly, including neural networks, deep learning, and natural language processing, discusses approaches to developing these models including PyTorch and TensorFlow, and has students apply a combination of techniques to solve complex business challenges including computer vision and sentiment analysis. The catalog states there is no prerequisite for this course.
Per the current catalog, exactly one table: the M.S. Data Analytics data science concentration (MSDADS 202408), term 3 beside D602 Deployment and D603 Machine Learning. If your degree plan shows DTAN 6216, this is the course.
None, per the catalog: the description states there is no prerequisite for this course. In practice it assumes the shared core underneath it, because it extends the machine learning work of its term-3 neighbor D603 into neural networks, deep learning, and NLP.
No. D603 (DTAN 6215) is the classical modeling course: supervised and unsupervised methods, accuracy and precision, ensemble methods. D604 (DTAN 6216) is the AI extension: neural networks, deep learning, natural language processing, with PyTorch and TensorFlow named. They share term 3 of the data science concentration and are different courses with different codes.
WGU does not publish assessment formats in the catalog. The description centers applied model development in named frameworks, and we confirm the current format for your exact catalog year at intake. The fixed quote covers whichever assessment the course carries.
One course starts at $99, with the exact figure fixed in writing once we know where you stand. On a longer remaining master's list, the master's package is $3,500 flat with the written 6-month finish guarantee covering every course on the plan, this one included.
No. Coursework Ninja is an independent paid completion service, not affiliated with, endorsed by, or sponsored by Western Governors University. WGU provides its own instructors, mentors, and evaluators; we are separate, for students who want this course finished on a fixed date.
Coursework Ninja is an independent done-for-you degree completion service and is not affiliated with, endorsed by, or sponsored by Western Governors University.
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