Microsoft
Microsoft Copilot for Data Science Specialization
Microsoft

Microsoft Copilot for Data Science 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

Sponsored by Abu Dhabi National Oil Company

1,628 already enrolled

Get in-depth knowledge of a subject
4.7

(17 reviews)

Beginner level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.7

(17 reviews)

Beginner level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace

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

Details to know

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Taught in English
Recently updated!

September 2024

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Specialization - 3 course series

Generative AI for Data Science with Copilot

Course 16 hours4.7 (12 ratings)

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

Category: Generative AI
Category: Artificial Intelligence
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Data Ethics
Category: Data Governance
Category: Computer Science
Category: Machine Learning
Category: Unsupervised Learning
Category: Enterprise Security
Category: Data Analysis
Category: Data Security
Category: Anomaly Detection
Category: Information Systems Security
Category: Cybersecurity
Category: Cyber Governance
Category: Information Assurance
Category: Data Science
Category: Information Privacy

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

Category: Data Governance
Category: Data Management
Category: Data Ethics
Category: Data Quality
Category: Data Transformation
Category: Data Analysis
Category: Data Manipulation
Category: Data Wrangling
Category: Data Processing
Category: Data Cleansing
Category: Data Science
Category: Data Validation
Category: Generative AI
Category: Natural Language Processing
Category: Data Integrity
Category: Artificial Intelligence
Category: Data Synthesis
Category: Anomaly Detection
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Unsupervised Learning

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

Category: Generative AI
Category: Data Storytelling
Category: Data Visualization
Category: Artificial Intelligence
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Technical Writing
Category: Data Ethics
Category: Natural Language Processing
Category: Business Analytics
Category: Data Governance
Category: Data Science
Category: Technical Communication
Category: Analytics
Category: Data Analysis

Instructor

 Microsoft
Microsoft
200 Courses1,151,720 learners

Offered by

Microsoft

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