Introduction to Python
Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with numpy.
Data Scientist at DataCamp
Hugo is a data scientist, educator, writer and podcaster at DataCamp. His main interests are promoting data & AI literacy, helping to spread data skills through organizations and society and doing amateur stand up comedy in NYC. If you want to know what he likes to talk about, definitely check out DataFramed, the DataCamp podcast, which he hosts and produces: https://www.datacamp.com/community/podcast
Master the basics of data analysis in Python. Expand your skillset by learning scientific computing with numpy.
Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas.
Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.
Learn the art of writing your own functions in Python, as well as key concepts like scoping and error handling.
Continue to build your modern Data Science skills by learning about iterators and list comprehensions.
Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the web.
Improve your Python data importing skills and learn to work with web and API data.