Data Analysis

Draw meaningful conclusions from data whether you’re a business analysis, data engineer, or data scientist.

4 Ways To Improve Your Plotly Graphs

Making high-quality data visualizations is a critical skills for Data Scientists. Learn how to get better at it using Plotly's Python library.

Split columns containing multiple values in your Pandas DataFrame into multiple columns, each containing a single value.

Find which rows are different between two DataFrames, as well as which DataFrame they are unique to.

Downcast strings in Pandas to their proper data-types using HDF5.

Dealing with duplicate column names in your Pandas DataFrame.

Use Panda's Multiindex to make your data work harder for you.

A guide to DataFrame manipulation using groupby, melt, pivot tables, pivot, transpose, and stack.

Brush up on SQL fundamentals such as creating tables, schemas, and views.