GenAI for Data Analysts

Instructors: Soheil Haddadi, Reza Moradinezhad +1 more

What you'll learn

  •   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.
  •   Reflect on how GenAI can significantly improve productivity & foster innovation in data analysis, with insights into future trends & industry shifts.
  • Skills you'll gain

  •   Data Transformation
  •   OpenAI
  •   Predictive Analytics
  •   Data Processing
  •   Data Analysis
  •   Advanced Analytics
  •   Generative AI
  •   Anomaly Detection
  •   Analytics
  •   AI Personalization
  •   Machine Learning Algorithms
  •   Data Cleansing
  • There is 1 module in this course

    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. Learners should have a basic understanding of data preprocessing, pattern recognition, and predictive analytics. Familiarity with common data storage and analysis tools (e.g., databases, data visualization software) and experience with programming languages (e.g., Python, R, SQL) are also required. An open mindset and eagerness to explore new technologies are essential. By the end of the course, you will be equipped to leverage GenAI for more efficient and innovative data analysis.

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