LinkedIn Learning: Comprehensive Guide to Generative AI in Data Analysis and Data Science

Length: 11 hours

Attention Data Scientists! This is an essential course tailored just for you. Led by the experienced instructor Dan Sullivan, this intermediate-level course delves deep into the transformative impact that generative AI is having on one of the most vital career paths in today’s technology-driven world: Data Analysis.

The curriculum not only covers data management fundamentals but also emphasizes the importance of mastering the “three pillars” crucial for success in the field of data analysis. These pillars include: first, honing your problem-solving skills which are the foundation of analytical thinking; second, gaining a robust understanding of statistics and machine learning concepts; and third, acquiring practical experience with data management procedures, ensuring you can apply theoretical knowledge in real-world scenarios.

Building on this foundational knowledge, the course leads you into the exciting intersection of data science and Large Language Models (LLMs). Participants will explore multiple modules that cover a range of topics, including predictive modeling, machine learning techniques, and how to effectively interpret and report on the results of your analyses. This course is designed to equip you with not just the skills, but also the mindset required to navigate the complexities of modern data science.

All of this invaluable knowledge accessibility is made seamless through LinkedIn Learning. While it may seem that the course isn’t free, the platform offers a generous month-long free trial. By signing up today, you’ll have ample opportunity to digest the entire 11-hour course at your own pace, maximizing your learning experience without any immediate financial commitment.

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