PanPy For Anybody Pandas Basics

Learn to handle complex data frames and analyze your data with pandas functions. This course will teach you advanced parts of this library.

Quick and expressive data analysis requires good tools and knowledge of them. In this course, you'll explore the world of data science by learning core Pandas functionalities, including its IO capabilities, plotting methods, and DataFrames.

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

Compare Pandas and Polars for data manipulation in Python. Learn the strengths of each library, when to use them, and how to maximize performance for large datasets to help you choose the right tool for your data processing needs.

Pandas is one of the most popular software packages for data analysis. This course focuses on the core functionalities of Pandas for data wrangling, teaching you how to tackle everyday tasks for a data analyst, or data scientist.

Creating mayoral networks, enhancing city detection capacities, adopting early and sustained layered interventions, redesigning and repurposing cities, and shoring up pandemic preparedness are all key to accelerate global cooperation for pandemics.

Fuel up on inspiration and insights from four of our 2022 Best in Tech Awards winners. Hear about the challenges they've overcome that helped them make the list this year and how they’ve tapped into the power of tech workforce development to deliver value to their customers.

Diversity and skills gaps top the priority list for every organization, yet far too often, that prioritization only pays lip service to the idea. Join our panelists as they share fresh perspectives from different talent pipeline vantage points.

Join us for a discussion with Carlye Greene, Sr. Director Evolve & Talent Innovation at Silicon Valley Bank and Ingrid Myers, Director, Technical Expert Development at Slalom as they share about their unique roles in the growing field of learning & development experts dedicated to technologists.

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.