LinkedIn – Complete Guide to Generative AI for Data Analysis and Data Science 2024-9

Complete Guide to Generative AI for Data Analysis and Data Science. This comprehensive course teaches you how to use Generative AI to analyze data and solve complex data science problems. By learning the fundamentals of data management, statistics, and machine learning, you will be able to break down complex business and scientific questions into programmable components and then use generative AI to create the programs and scripts needed to solve these problems. This course focuses on three key foundations that are essential for success in the role of a data analyst or data scientist: problem-solving skills, an understanding of statistics and machine learning, and practical experience in data management.

What you will learn:

• Generative AI: Learn how to use this technology to generate data and models
• Data Analysis: Learn data analysis methods to discover patterns and insights.
• Data Science: Understand the basic concepts of data science and its applications.
• Problem-solving skills: Learning how to analyze complex problems and find data-driven solutions
• Statistics and Machine Learning: Introduction to statistical concepts and machine learning algorithms
• Data Management: Learn how to collect, clean, and prepare data for analysis.

Who is this course suitable for?

• People who want to improve their skills in data analysis and data science.
• Those looking to learn how to use generative artificial intelligence to solve real-world problems.
• Data analysts, data scientists, data engineers, and anyone else who works with data.