Copilot & AI Agents for Data Science Bootcamp [2026] — 95% Off Coupon

Master Data Science with CoPilot & AI Agents: Data Wrangling, Analysis, Visualization, Model Building & Validation

4.6 1,091 students enrolledCreated by Prof. Ryan Ahmed, Ph.D., MBALast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

•Course Title: Copilot & AI Agents for Data Science Bootcamp [2026]
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Prof. Ryan Ahmed, Ph.D., MBA
•Coupon Verified On: January 11, 2026
•Difficulty Level: Advanced
•Category: Development
•Subcategory: Data Science
•Duration: 10h of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: Build Data Wrangling AI agents in CoPilot to automate cleaning and preparation tasks on complex datasets. · Design effective prompts and apply prompting strategies (zero-shot, few-shot, chain-of-thought) to optimize outputs from generative AI systems. · Use the Pandas library and Microsoft CoPilot to load, manipulate, and analyze real-world datasets programmatically.
•Prerequisites: No Programming Skills is required.
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

✓Build Data Wrangling AI agents in CoPilot to automate cleaning and preparation tasks on complex datasets. .
✓Design effective prompts and apply prompting strategies (zero-shot, few-shot, chain-of-thought) to optimize outputs from generative AI systems. .
✓Use the Pandas library and Microsoft CoPilot to load, manipulate, and analyze real-world datasets programmatically. .
✓Perform feature engineering tasks such as one-hot encoding, normalization, and standardization to prepare data for machine learning models. .
✓Apply practical techniques for cleaning messy datasets: handling missing values, removing duplicates, merging data sources, and ensuring consistent formatting. .
✓Master Data visualization Libraries such as Matplotlib, Seaborn, and Plotly Express to plot static and interactive insight-rich visuals. .
✓Gain hands-on experience with Microsoft Copilot’s Analyst Agent to automate visualization workflows, generate perspectives quickly, and interpret outputs .
✓Understand common data visualization types including scatterplots, bubble charts, bar charts, line charts, histograms, box plots, pie charts, and area charts .
✓Build and interpret regression line plots to study correlations between features and quantify the strength of relationships in data. .
✓Develop and evaluate classification models (e.g., Logistic Regression, Decision Trees, SVMs, Random Forests, Gradient Boosting, kNN, Naive Bayes) .
✓Construct and analyze confusion matrices, & calculate key metrics (accuracy, precision, recall, specificity, F1 score, ROC-AUC) to assess model performance .
✓Identify which performance metrics matter most in specific contexts (e.g., fraud detection vs. marketing campaigns) and justify model selection .
✓Use CoPilot to build, evaluate, & interpret machine learning pipelines; from exploratory data analysis to model training & evaluation .
✓Explain the concept of anomaly detection, describe its importance in uncovering unusual patterns, and illustrate real-world applications such as fraud detection .
✓Apply the Z-score method by calculating and interpreting z-scores, detecting outliers in sales datasets, and visualizing deviations from average performance .
✓Build an AI Agent in Microsoft Copilot that automates Z-score analysis for sales data, detects anomalies beyond set thresholds, & provides clear visualization .
✓Implement the Isolation Forest algorithm in Copilot to design an AI Agent (“Isolation Forest Detector”) that isolates and highlights anomalous sales behaviors .
✓Evaluate the business impact of anomalies uncovered through both techniques, explaining how these insights inform decisions on risks (e.g., revenue drops).

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

•No Programming Skills is required.

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Prof. Ryan Ahmed, Ph.D., MBA. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Prof. Ryan Ahmed, Ph.D., MBA
•Field: Development
•Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the Copilot & AI Agents for Data Science Bootcamp [2026] Coupon Worth It?

Copilot & AI Agents for Data Science Bootcamp [2026] is a development course offered on Udemy by instructor Prof. Ryan Ahmed, Ph.D., MBA, spanning 10h of on-demand content. It holds a 4.6/5 rating from over 1,091 enrolled students.

Through CourseSpeak, you can access this course with a 95% discount coupon. The coupon was last verified on January 11, 2026. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.6/5) and enrollment numbers (1,091 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of January 2026. For individual student reviews, visit the course page directly.

4.6
1,091 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

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