Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.
Delves into the 'digital turn' in history, examining historical research using digitized newspapers and exploring text reuse, word embeddings, and data visualization.
Covers the essentials of data science, including data handling, visualization, and analysis, emphasizing practical skills and active engagement.
Covers data wrangling techniques using Hadoop, focusing on row versus column-oriented databases, popular storage formats, and HBase-Hive integration.
Introduces the basics of machine learning, covering supervised and unsupervised learning, linear regression, and data understanding.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
