Lecture 3: The Role of Statistics and Mathematics in Data Science
Lecture 4: Data Infrastructure and Storage Evolution
Lecture 5: Development of Programming Tools and Languages in Data Science
Lecture 6: The Emergence of Machine Learning and AI
Lecture 7: Tools and Libraries for Data Science
Lecture 8: Big Data Technologies
Lecture 9: Data Science in the Cloud
Lecture 10: The Impact of Artificial Intelligence and Automation on Data Science
This course explores the evolution of Data Science, from its historical roots to modern advancements. It covers the foundational role of statistics and mathematics, the development of programming tools and languages, and the rise of machine learning and AI. Students will gain insights into the evolution of data infrastructure, big data technologies, and cloud computing, as well as the growing impact of artificial intelligence and automation on the field. Ideal for those seeking a comprehensive understanding of how data science has developed and continues to shape the future.
