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Advanced Data Analysis with Generative AI

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Advanced Data Analysis with Generative AI

This course is part of Microsoft Advanced Analytics Techniques with Generative AI Specialization

Instructor: Microsoft

Included with

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5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

This course is part of the Microsoft Advanced Analytics Techniques with Generative AI Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 5 modules in this course

This course delves into sophisticated analytical methods, including predictive modeling, time-series forecasting, and anomaly detection. You'll learn to harness the power of AI to uncover hidden patterns and trends in complex datasets. The course covers text data analysis, enabling you to extract valuable insights from unstructured data sources.

Upon completion of this course, you'll be able to: - Perform predictive analysis using generative AI tools - Conduct time-series analysis and forecasting with AI assistance - Extract insights from text data using generative AI technologies - Identify and analyze anomalies and outliers in datasets using AI Who this course is for: Advanced Data Analysis with Generative AI is designed for business analysts and data analysts who are ready to move beyond foundational data work and apply AI-powered techniques to real-world analytical challenges. It's ideal for professionals who are comfortable working with data day-to-day and want to expand their skillset into predictive modeling, forecasting, and text analysis — without needing a background in data science or machine learning. If you've been looking for a practical, tool-focused way to bring advanced analytics into your workflow, this course is for you.

Module details

Establish a structured data analysis workflow and harness the power of generative AI tools to streamline documentation, enhance efficiency, and make informed decisions throughout the process. In this module, you'll explore the core principles that underpin effective data analysis and discover how generative AI can act as a practical partner at every stage — from clarifying your analytical objectives to summarizing findings. You'll get hands-on experience using AI tools to clean and prepare data, generate initial hypotheses, and produce clear documentation without getting bogged down in manual tasks. By the end of this module, you'll have a repeatable, AI-assisted workflow you can apply immediately to your own data projects.

What's included

12 videos8 readings5 assignments

12 videosTotal 55 minutes

A journey through the analysis process3 minutes
Unlocking the Power of GenAI in Data Analysis: Your Intelligent Assistant6 minutes
From mess to masterpiece: Data cleaning with GenAI5 minutes
AI-powered exploratory data analysis (EDA)6 minutes
Crafting your data analysis strategy with GenAI6 minutes
The data analysis compass: Choosing your path with GenAI3 minutes
Choosing the right analytical approach5 minutes
The data analysis diary: GenAI as your notetaker2 minutes
Demo: Automated report generation6 minutes
Beyond the basics: Enhancing reports with AI-powered insights6 minutes
The data analysis toolkit: GenAI as your expert guide2 minutes
GenAI technique matchmaker6 minutes

8 readingsTotal 80 minutes

Advanced data analysis with generative AI syllabus10 minutes
GenAI Tools for Data Analysis: A Practical Guide10 minutes
GenAI-enhanced data analysis: A step-by-step guide10 minutes
Analytical approaches in the real world10 minutes
The future of data analysis documentation10 minutes
A deep dive into data analysis techniques with GenAI10 minutes
Differentiating data analysis techniques with AI assistance10 minutes
Common data analysis techniques and when to use them10 minutes

5 assignmentsTotal 105 minutes

Project: Creating your AI-powered data analysis report30 minutes
Implement techniques with GenAI30 minutes
The data analysis roadmap15 minutes
Choosing the right analytical approach with GenAI15 minutes
Streamlining documentation with Generative AI15 minutes

Leverage generative AI models to analyze historical data, identify patterns, and generate accurate predictions for future trends and outcomes.

What's included

12 videos5 readings5 assignments

12 videosTotal 56 minutes

Unveiling the power of predictive analysis2 minutes
Understanding the basics of predictive analysis6 minutes
The AI forecaster: Predicting market trends6 minutes
GenAI detectives: Uncovering hidden patterns in your data2 minutes
Pattern recognition with AI6 minutes
Identifying outliers in financial data5 minutes
Demo: From numbers to insights: Unlocking the power of structured data5 minutes
Process and applications for predictive models5 minutes
Metrics for evaluating predictions built on structured data6 minutes
Engineering for predictive modeling6 minutes
Beyond numbers: The world of unstructured data and neural networks2 minutes
Demo: Sentiment analysis and beyond with GenAI5 minutes

5 readingsTotal 50 minutes

The rise of generative AI in predictive analysis10 minutes
Key applications of predictive analytics across industries10 minutes
Data storytelling with GenAI10 minutes
Structured data: Advanced techniques with GenAI10 minutes
Neural networks in action: Real-world applications of unstructured data analysis10 minutes

5 assignmentsTotal 90 minutes

Using Generative AI for Predictive Analytics30 minutes
Predictive power: Matching models to problems15 minutes
Identifying patterns and trends with GenAI15 minutes
Activity: Building a sales forecasting model15 minutes
Predicting with structured data15 minutes

Explore the key components of time series data and learn how to decompose patterns over time. Apply a range of forecasting methods to predict future trends with confidence. Evaluate model accuracy to select the approach that best fits your data. Build practical solutions that turn time series analysis into real business insight.

What's included

9 videos5 readings4 assignments1 discussion prompt

9 videosTotal 40 minutes

The time traveler's guide to data: Understanding time series3 minutes
Time-series analysis: Real-world applications and benefits6 minutes
GenAI time machine: Unlocking the secrets of the past3 minutes
Time-series analysis with GenAI tools6 minutes
GenAI's time-traveling predictions3 minutes
Generating time-series forecasts with GenAI6 minutes
Model building with GenAI-generated code6 minutes
Time-series forcasting: The GenAI advantage3 minutes
Code-free forecasting: Building time-series models with AI6 minutes

5 readingsTotal 50 minutes

The anatomy of time-series data: Components and characteristics10 minutes
The Time Traveler's Toolkit: Essential Tools for Time-Series Analysis10 minutes
Advanced time-series decomposition with GenAI: Beyond the basics10 minutes
Evaluating time-series forecasts10 minutes
A guide to GenAI model selection for time series10 minutes

4 assignmentsTotal 75 minutes

Time-series data and analysis with GenAI15 minutes
Patterns, trends, and structured data15 minutes
Forecasting future trends with GenAI15 minutes
Activity: Build and compare time-series models30 minutes

1 discussion promptTotal 10 minutes

Reflections on GenAI for time-series forecasting10 minutes

Harness generative AI technologies to extract valuable insights from unstructured text data, including sentiment analysis and automated content generation.

What's included

6 videos5 readings5 assignments

6 videosTotal 32 minutes

NLP 101: A beginner's guide to understanding text data6 minutes
Choosing the right tool for the job6 minutes
GenAI's textual treasure hunt: Uncovering hidden insights3 minutes
Demo: Text mining with GenAI: A hands-on tutorial5 minutes
Content creation with GenAI: Possibilities and best practices6 minutes
Fine-tuning GenAI models for text analysis6 minutes

5 readingsTotal 50 minutes

Generative AI and NLP: A powerful partnership10 minutes
Case studies: GenAI transforming text analysis10 minutes
From draft to masterpiece: The art of refining GenAI-generated text10 minutes
The Power of Personalization: Using GenAI to Tailor Content for Your Audience10 minutes
The rise of custom NLP models: Real-world applications10 minutes

5 assignmentsTotal 105 minutes

Project: Text data analysis with GenAI30 minutes
Fine Tuning GenAI models for specific NLP tasks30 minutes
Foundations of NLP and GenAI's role15 minutes
Extracting insights from unstructured text data15 minutes
Generating content with GenAI15 minutes

Apply generative AI algorithms to detect and analyze anomalies and outliers in datasets, enhancing data quality and uncovering potential issues.

What's included

9 videos7 readings5 assignments

9 videosTotal 43 minutes

From data chaos to clarity: Advanced anomaly detection2 minutes
Beyond the obvious: Discovering complex anomalies and outliers5 minutes
The Role of Generative AI in Fraud Detection and Prevention5 minutes
Demo: Anomaly detection with Scikit-learn5 minutes
Practical applications of GenAI for anomaly detection6 minutes
Anomaly detection with AI tools5 minutes
AI-Powered quality control: Detecting defects in manufacturing data6 minutes
The ripple effect: How anomalies impact your data2 minutes
What to do with anomalies: Remediation strategies6 minutes

7 readingsTotal 70 minutes

Unveiling the impact: Anomaly and outlier detection in the real world10 minutes
Generative AI and anomaly detection10 minutes
Statistical and machine learning approaches to anomaly detection10 minutes
The Benefits of GenAI for Anomaly and outlier detection10 minutes
The benefits of GenAI for anomaly detection: Improved accuracy, flexibility, and capability10 minutes
Handling Outliers in Data: A Guide for Data Analysts10 minutes
The ethics of anomaly detection: Balancing privacy and security10 minutes