Generative AI for Data Scientists Analytics Specialization

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Manthan Patel

3:55:24

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1. Generative AI for Data Science and Data Analytics

1. Why Learn Generative AI.mp4

02:20

2. Course Introduction.mp4

02:56

3. Course Syllabus and Preview.html

2. Generative AI in Data Science

1. Generative AI and Data Science.mp4

04:51

2. Generative AIs Impact Across Industries.mp4

09:08

3. Leveraging Generative AI in Data Science Lifecycle.mp4

08:00

4. Types of Generative AI Models.mp4

07:28

3. Generative AI for Data Preparation and Querying

1.1 Daily car sales.csv

1.2 model-report.html

1. Demo Generative AI for Data Generation and Augmentation.mp4

08:58

2. Generative AI for Data Preparation and Data Querying.mp4

06:54

3.1 titanic.csv

3. Demo Generative AI for Data Preparation.mp4

04:50

4.1 titanic.csv

4. Demo Generative AI for Querying Databases.mp4

04:53

4. Generative AI for Understanding Data and Model Building

1. Demo Generative AI for Data Insights.mp4

05:09

2.1 titanic.csv

2. Demo Generative AI for Data Visualization.mp4

04:52

3. Generative AI Tools for Model Development.mp4

06:35

4. Generative AI for Understanding Data and Model Development.mp4

06:35

5. AI Ethics

1. Considerations for Responsible Generative AI.mp4

07:19

2. Implementing Responsible AI in Diverse Industries.mp4

08:58

3. Limitations of Generative AI.mp4

06:36

4. Issues and Concerns About Generative AI.mp4

07:41

6. Introduction and Applications of Generative AI

1. Course Introduction.mp4

03:04

2. Introduction to Generative AI.mp4

07:51

3. History and Evolution of Generative AI Instructions.html

4. Capabilities of Generative AI.mp4

09:56

5. Applications of Generative AI.mp4

10:42

6. Tools for Text Generation.mp4

09:11

7. Tools for Image Generation.mp4

06:26

8. Tools for Audio and Video Generation.mp4

07:02

9. Tools for Code Generation.mp4

08:29

10. Session Summary.html

7. Generative AI Prompt Engineering for Data Scientists

1. Course Introduction.mp4

03:05

2. Course Overview and Instructions.html

3. What is Prompt.mp4

06:33

4. What is Prompt Engineering.mp4

08:29

5. Best Practices for Prompt Creation.mp4

07:29

6. Common Prompt Engineering Tools.mp4

04:05

7. Section Summary.html

8. Prompt Engineering Techniques and Approaches

1. Text-to-Text Prompt Techniques.mp4

08:45

2. Interview Pattern Approach.mp4

03:39

3. Chain of Thought Approach.mp4

03:48

4. Tree of Thought Approach.mp4

03:44

5. Text-to-Image Prompt Techniques.mp4

08:15

6. Prompt Hacks.html

7. Section Summary.html

9. Farewell and Congrats

1. Course Conclusion.mp4

00:48

Description

Leap Ahead in Data Science Mastering Generative AI: Advanced Techniques for Data Scientists and Analytics Professionals

What You'll Learn?

Learn how to identify appropriate generative AI tools for data science use cases
Apply generative AI prompt techniques to generate and augment datasets and to develop and refine machine learning models
Leverage generative AI tools, like GPT 3.5, ChatCSV, and Tomat AI, available to Data Scientists for querying and preparing data
Examine real-world scenarios where generative AI can enhance data science workflows
Practice generative AI skills in hand-on labs and projects by generating and augmenting datasets for specific use cases
Apply generative AI techniques in the development and refinement of machine learning models from Data Science and Analytics

Who is this for?

Includes existing and aspiring data professionals, such as data scientists, data analysts, data architects, and engineers, and even data enthusiasts.

Generative AI enthusiast

What You Need to Know?

Anyone interested in launching a career using Data Science and Analytics

Little Prior Data Science experience is helpful, but No experience is necessary.

Simply Eager to Learn about Generative AI for Data Science and Analytics

More details

Description
Generative AI knowledge is now an essential Data Science skill. According to Gartner, "By 2026, 20% of top data science teams will have rebranded as Cognitive Science or Science consultancies, increasing diversity in staff skills by 800%."
Generative AI is now mainstream. Unlock the potential of Generative AI and propel your career forward with our cutting-edge course tailored to the needs of Data Scientists and Analytics. Whether you're an experienced professional or just starting out, this course is designed to equip you with the skills demanded in today's data-driven world.
Explore real-world data science challenges encountered across various industries, and discover how Generative AI can revolutionize data generation, data augmentation, and feature engineering. Gain practical expertise in implementing Generative AI models and techniques to tackle these challenges head-on.

Learn how to leverage Generative AI to accelerate data visualizations, construct robust models, and derive actionable insights from data. Delve into the ethical considerations surrounding Generative AI and Data, crucial knowledge for executives across all sectors.
Aligned with these industry shifts, our Specialization is tailored to propel your career to new heights. Whether you're an established data scientist or an aspiring data enthusiast, this specialization is designed to equip you with the essential skills needed to harness the power of generative AI in data science.

Join us on this transformative journey and unlock the potential of generative AI in your data science endeavors. Put your newfound skills to the test with hands-on projects in data augmentation .Finally, demonstrate your mastery by completing a final quiz and earning your certificate, which you can proudly showcase to current or potential employers.

Take the next step in advancing your career with our comprehensive Generative AI course.
Don't miss out this opportunities in data science.
Who this course is for:
Includes existing and aspiring data professionals, such as data scientists, data analysts, data architects, and engineers, and even data enthusiasts.
Generative AI enthusiast

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An architect of AI-driven chatbots and virtual assistants, I have redefined customer service by introducing intelligent automation into business processes. These remarkable virtual agents adeptly handle routine tasks, answer inquiries, and provide real-time support, ensuring seamless interactions that transcend time zones and enrich customer experiences.Of course, I am more than happy if you are willing to build up passive income in a professional, sustainable way, for example, by applying the knowledge gained from one of my courses.I have been always passionate about teaching since my first time as a volunteer math tutor in high school. My goal on Udemy is to share my knowledge and build a wonderful community to study many different things together.

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