Remove 2016 Remove Data Analysis Remove Data Visualization
article thumbnail

Data Analysis at Warp Speed: Explore the World of Polars

Mlearning.ai

Empowering Data Scientists and Engineers with Lightning-Fast Data Analysis and Transformation Capabilities Photo by Hans-Jurgen Mager on Unsplash ?Goal Abstract Polars is a fast-growing open-source data frame library that is rapidly becoming the preferred choice for data scientists and data engineers in Python.

article thumbnail

How to Spot Misleading Charts, a Checklist

Tableau

Alberto Cairo, data visualization expert and author of How Charts Lie Whether you are reading a social post, news article or business report, it’s important to know and evaluate the source of the data and charts that you view. Two line graphs showing the same data with different intervals on the axis. Know the Source.

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

How to get Data Analyst Job as a Fresher?

Pickl AI

Data Analysis is the process of collecting, cleaning, transforming, and modeling data to extract useful information and insights. In today’s data-driven world, data analysis has become an essential skill for organizations across industries to make informed decisions and improve business outcomes.

article thumbnail

Beyond the Checkered Flag: F1 Statistics Explored

Towards AI

Image by Author Tools The following tools were used to assist the data analysis process: Tableau: Used to create the visualizations. JupyterHub: Used to wrangle, clean, and prepare the dataset for visualization. Read individual CSV files and combine them on race ID, constructor ID, driver ID, circuit ID, and status ID.

Tableau 119
article thumbnail

Michael I. Jordan of Berkeley on Learning-Aware Mechanism Design

ODSC - Open Data Science

He received the Ulf Grenander Prize from the American Mathematical Society in 2021, the IEEE John von Neumann Medal in 2020, the IJCAI Research Excellence Award in 2016, the David E. His research interests bridge the computational, statistical, cognitive, biological, and social sciences.

article thumbnail

Announcing the Winners of ‘The NFL Fantasy Football’ Data Challenge

Ocean Protocol

Fantasy Football is a popular pastime for a large amount of the world, we gathered data around the past 6 seasons of player performance data to see what our community of data scientists could create. This report took the data set provided in the challenge, as well as external data feeds and alternative sources.

article thumbnail

How to optimize your LinkedIn as a Data Scientist?

Pickl AI

Data Scientist LinkedIn Profile Example Marla Smith, Senior Data Scientist at ABC Company Summary: Experienced data scientist with a strong background in statistical analysis, machine learning, and data visualization.