Data science tools like data wrangling, data analytics and visualization are introduced as they apply to areas such as marketing, human resources and operations management. Through a hands-on approach, students will learn various Python packages and Jupyter notebooks and how to use these tools to execute relevant data science techniques on complex data with a special focus on natural language processing, which is essential to understanding various textual information collected through various business processes.
Data science tools like data wrangling, data analytics and visualization are introduced as they apply to areas such as marketing, human resources and operations management. Through a hands-on approach, students will learn various Python packages and Jupyter notebooks and how to use these tools to execute relevant data science techniques on complex data with a special focus on natural language processing, which is essential to understanding various textual information collected through various business processes.
