Learn beginner and advanced Python programming skills for data science in this hands-on masterclass.
This comprehensive masterclass combines foundational and advanced concepts in Python, tailored specifically for data science enthusiasts. Students will gain a robust understanding of Python fundamentals, including data types, variables, control flow, and functions. As the course progresses, they will explore complex data structures and master the use of packages and object-oriented programming.
The masterclass covers essential libraries such as Numpy and Pandas, empowering students to manipulate arrays and dataframes effectively. Students will learn to perform data analysis, clean and filter datasets, and utilize groupby operations and pivot tables for insightful data exploration.
Visualization techniques are a key focus, with extensive training in Matplotlib for creating bar charts, scatter plots, histograms, and customized visualizations. Advanced topics include the use of Seaborn for regression analysis and creating heatmaps and confusion matrices.
Participants will enhance their Python skills with advanced programming techniques such as lambda functions, list comprehension, and handling JSON and APIs. They will also delve into practical applications like web scraping with Beautiful Soup, database querying within Jupyter Notebooks, and animating data for dynamic presentations.
By the end of the masterclass, students will be equipped with the skills to tackle complex data science projects, from initial data analysis to advanced visualization and automation.
Learn machine learning, SQL, and more Python with a certificate program:
Learn more about Python for Data Science Masterclassp at Noble Desktop.
This course is available for "remote" learning and will be available to anyone with access to an internet device with a microphone (this includes most models of computers, tablets). Classes will take place with a "Live" instructor at the date/times listed below.
Upon registration, the instructor will send along additional information about how to log-on and participate in the class.
Also available in-person in NYC
