Microsoft
Generative AI for Data Scientists Specialization
Microsoft

Generative AI for Data Scientists Specialization

Unlock your AI-powered efficiency and innovation. Accelerate data insights! Copilot supercharges your data science workflow, automating tasks and generating code, so you can focus on the big picture.

 Microsoft

Instructor: Microsoft

Included with Coursera Plus

Get in-depth knowledge of a subject

(40 reviews)

Beginner level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject

(40 reviews)

Beginner level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

What you'll learn

  • Gain hands-on experience using Copilot to generate code, analyze data, build simple generative models, and mitigate bias in AI-driven processes

  • Define generative AI, its key concepts (GANs, VAEs, Transformers), and how Microsoft Copilot leverages these models to enhance data science workflows

  • Identify GenAI use cases in data science (data augmentation, feature engineering, anomaly detection, and generative modeling) using Copilot examples

  • Assess the strengths, weaknesses, and ethical implications of different generative model architectures in data science scenarios, using Copilot

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
18 practice exercises

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Microsoft

Specialization - 3 course series

What you'll learn

  • Define and differentiate types of generative AI models

  • Use Microsoft Copilot to generate code, analyze data, and build generative models

  • Identify practical use cases for generative AI in data science, such as data augmentation and anomaly detection

  • Assess the strengths and weaknesses of different generative models and understand their ethical implications

Skills you'll gain

Responsible AI, Generative AI, Microsoft Copilot, Anomaly Detection, Data Security, Data Synthesis, Data Analysis, Simulations, and Data Ethics

What you'll learn

  • Assess and improve data quality using Copilot's analysis tools

  • Generate synthetic datasets for various applications, such as model training or privacy preservation

  • Clean and prepare data for analysis, automating tasks like formatting, deduplication, and standardization

  • Develop strategies for integrating Copilot into existing data workflows

Skills you'll gain

Microsoft Copilot, Data Quality, Data Cleansing, Natural Language Processing, Data Ethics, Data Synthesis, Anomaly Detection, Data Validation, Generative AI, Prompt Engineering, Data Processing, Data Transformation, Data Pipelines, and Responsible AI

What you'll learn

  • Utilize Microsoft Copilot and other AI tools for in-depth data analysis and forecasting.

  • Generate clear, engaging, and inclusive data visualizations with Copilot's assistance.

  • Craft persuasive reports and presentations tailored for both technical and non-technical stakeholders.

  • Develop comprehensive communication strategies that drive data-informed decision-making.

Skills you'll gain

Microsoft Copilot, Generative AI, Communication, Natural Language Processing, Data Visualization Software, Data Analysis, Advanced Analytics, Big Data, Technical Communication, Artificial Intelligence, Data-Driven Decision-Making, Strategic Communication, Data Storytelling, Responsible AI, Interactive Data Visualization, Presentations, and Data Visualization

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

 Microsoft
239 Courses1,927,540 learners

Offered by

Microsoft

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