GenAI for Data Analysts
This course offers a comprehensive introduction to the capabilities of GenAI and provides practical strategies for integrating these powerful tools into everyday data analysis tasks.
Overview
This course includes:
- 1 hour of on-demand video
- Certificate of completion
- Direct access/chat with the instructor
- 100% self-paced online
"Just like a high-quality camera is essential for vloggers to create stunning content, Generative AI is a game-changer for data analysts aiming to enhance their work. 'GenAI for Data Analysts' explores the revolutionary impact of Generative Artificial Intelligence on data analysis. This course offers a comprehensive introduction to the capabilities of GenAI and provides practical strategies for integrating these powerful tools into everyday data analysis tasks. Through a combination of discussions, video demos, and guided hands-on activities, learners will gain an understanding of how GenAI can significantly enhance productivity in data preprocessing, pattern recognition, predictive analytics, and report generation.
Imagine facing an impossible deadline on a massive data analysis project. Traditional methods fall short, and time is running out. This was my reality a few years ago—until I discovered Generative AI. This game-changing technology automated tedious tasks unveiled hidden patterns, and generated insightful reports in record time, saving the project and revolutionizing my approach to data analysis. In this course, I'll teach you how to leverage Generative AI to elevate your work and stay ahead in this rapidly evolving field. Join me and transform your data analysis capabilities!
We will also address ethical considerations associated with GenAI, including potential biases, data privacy issues, and best practices for responsible use. By the end of this course, you will be equipped with the knowledge and skills to leverage GenAI for more efficient and innovative data analysis, positioning yourself at the forefront of this technological advancement. Whether you are an experienced data analyst looking to stay current or an aspiring professional aiming to future-proof your skills, this course will empower you to harness the transformative potential of GenAI in your work."
Skills You Will Gain
Learning Outcomes (At the end of this program you will be able to)
- Identify the advanced capabilities of GenAI for enhancing various data analysis tasks, including unique functionalities and innovative use cases.
- Examine and apply real-world applications of GenAI in data analysis, highlighting unique success stories and innovative practices.
- Compare and contrast the risks, challenges, and ethical considerations of using GenAI in data analysis, with a focus on emerging issues and futuristic solutions.
Prerequisites
- Familiarity with fundamental data analysis concepts and workflows
- Curiosity and willingness to explore new technologies
Who Should Attend
This course is designed for individual data analysts seeking to enhance their workflows with GenAI, team leads guiding their teams toward innovative practices, and aspiring data analysts aiming to future-proof their skills. It is also ideal for those looking to advance their careers by mastering GenAI applications in data science.
Curriculum
1Module 1: GenAI for Data Analysts
Segment 01 - Introduction to GenAI for Data Analysts
Segment 02 - Glossary of GenAI for Data Analyst and DE Terms
Segment 03 - History & Background For GenAI and Data Analysts
Segment 04 - Demo for Data Analysis and Insight Generation with ChatGPT
Segment 05 - Demo for Dataset Report Generation with ChatGPT
Segment 06 - Demo for Predictive Insight Generation and Advanced Analytics with Coefficient
Segment 07 - Remediating Risks and Ethical Concerns
Segment 08 - Demo for Advanced Data Interaction with Crux Copilot and Copilot
Segment 10 - Practice Project for Data Analysts
Segment 11 - Closing Thoughts: What’s Next
Instructors
Soheil Haddadi
Soheil is a Postdoctoral Researcher with a strong academic foundation in Control and Automation Systems Engineering, specializing in Artificial Intelligence. His expertise spans across Data Science, Machine Learning, LLMs, Deep Learning, Natural Language Processing (NLP), and Robotics. Soheil has successfully applied his skills in both industry and research environments, contributing to advancements in AI.
Currently, as a Postdoctoral Researcher, Soheil is dedicated to pushing the boundaries of AI. His technical proficiency in Python, SQL, TensorFlow, and Keras, combined with a deep understanding of AI methodologies, has enabled him to deliver innovative solutions and insights. His prior work includes leading diverse projects such as sales forecasting using time series and LSTM neural networks, autonomous indoor navigation for quadrotors using ORB-SLAM, and deep learning-based credit scoring in the banking sector.
Soheil’s experience in data analysis and visualization further enhances his comprehensive understanding of how AI can address complex problems and create tangible value. His contributions are a testament to his dedication to advancing AI research and its real-world applications.
Reza Moradinezhad
Reza is a passionate advocate for fostering effective and trustworthy collaboration between humans and artificial intelligence, with a strong commitment to advancing the ethical use of Generative AI. Holding a PhD in Computer Science from Drexel University, his research focuses on enhancing human trust in Embodied Virtual Agents (EVAs). Through collaborations with prestigious institutions such as MIT Media Lab, CMU HCII, Harvard University, and UCSD, Reza has contributed impactful research published in leading journals like Springer Nature, ACM CHI, and ACM C&C. His work has gained recognition from the academic community, earning him accolades such as the Outstanding Reviewer award by ACM ICMI 2019 and ACM CHI 2021. His research has also been featured in media outlets including The Next Web, TechXplore, and CBS News.
As an Assistant Teaching Professor at Drexel University's College of Computing and Informatics, Reza has shaped the minds of both undergraduate and graduate students, guiding them through complex topics such as Artificial Intelligence, Software Engineering, and Computer Graphics. His dedication to education extends beyond teaching, mentoring research projects on topics ranging from mind-wandering in the human brain to the effectiveness of creativity support tools in fostering innovation.
In addition to his academic work, Reza served as an AI Scientist at TulipAI, where he focused on ensuring the ethical and responsible application of Generative AI in media creation. He is driven by the vision of making AI more trustworthy for humanity and believes in designing transparent, fair, and responsible interactions with AI systems. Through his work, Reza aims to harness the full potential of AI while adhering to ethical principles and promoting responsible innovation.
With a proven track record in academic research, collaborative projects, and a deep passion for ethical AI development, Reza is committed to making significant contributions to the evolving field of Human-AI interaction.
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