GenAI for Data Scientists
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GenAI for Data Scientists
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What you'll learn
Recognize what Generative AI (GenAI) is and what it can and cannot do, in general.
Evaluate the results of GenAI for a real-world application in data scientist functions.
Deploy strategies and tactics to responsibly integrate GenAI into data Science practices, while maintaining human oversight and accountability.
Skills you'll gain
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There is 1 module in this course
"GenAI for Data Scientist" is designed for professionals eager to integrate Generative AI (GenAI) into their data science practices. This introductory course breaks down the complex world of GenAI, demonstrating its significant impact on data analysis, predictive modeling, and beyond. You will learn the technical workings of GenAI tools and their practical applications in real-world data science scenarios.
This course is designed for team leads and managers looking to incorporate GenAI into their strategic initiatives, as well as individual data scientists and analysts eager to enhance their daily tasks with advanced GenAI techniques. It is also suitable for professionals aiming to advance their careers by mastering cutting-edge GenAI applications in data science. Learners should have a basic understanding of data analytics, statistical methods, and machine learning, along with familiarity with programming languages like Python or R. An open mindset and eagerness to explore new technologies are also essential. The curriculum covers the fundamentals of machine learning models, data augmentation, and ethical considerations, providing insights into how GenAI can enhance analytical precision and foster innovation.
The course aims to build a strong foundational understanding of GenAI, enabling data scientists to explore innovative ways to apply these technologies in their daily tasks. By the end of the course, learners will have a clear grasp of the capabilities and limitations of GenAI, setting the stage for more advanced studies or immediate application in their professional roles.
What's included
6 videos5 readings1 assignment1 peer review
6 videosβ’Total 44 minutes
- Introduction to GenAI for Data Scientistsβ’7 minutes
- History & Background for GenAI and Data Scienceβ’8 minutes
- Demo: Generating Synthetic Data and Machine Learning Model Code with Geminiβ’11 minutes
- Remediating Risks and Ethical Concernsβ’8 minutes
- Demo: Synthetic Data Creation and Predictive Model Building with Geminiβ’9 minutes
- Closing Thoughts: Whatβs Nextβ’2 minutes
5 readingsβ’Total 50 minutes
- Our Roadmap & Resources Available: How to Get Startedβ’10 minutes
- GenAI and Data Science: Glossaryβ’10 minutes
- Demo: Text Classification with the OpenAI APIβ’10 minutes
- Demo: Converting Python Code to other Programming Languages with CodeConvertAIβ’10 minutes
- Demo: Exploratory Data Analysis (EDA) with ChatGPTβ’10 minutes
1 assignmentβ’Total 20 minutes
- GenAI for Data Scientistβ’20 minutes
1 peer reviewβ’Total 15 minutes
- Synthetic Data Showcaseβ’15 minutes
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Reviewed on Oct 4, 2024
The instructor is awesome in explaining details about GenAI.
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