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Advanced Data Analysis

Overview

In this course, we will learn about some advanced methods for data analysis using pandas and seaborn libraries. This includes getting aggregate statistics after grouping the data based on some variable, analyzing time series data, and performing multivariate analysis.

Prerequisites: Python, Statistics and Pandas

Syllabus

Pandas: Apply, GroupBy and Handling Datetimes

First, we will learn how to apply a function over an entire DataFrame. We will also learn about analyzing data using group by. In the second tutorial, we will learn how to handle datetime data in Pandas, and how to perform time series analysis.

Pandas: Apply functions and GroupBy
Free
16 mins
Pandas: Working with Dates and Times
12 mins

Multivariate analysis

In this section, we will learn how to perform multivariate analysis on a dataset. First, we will look at how to analyze pairs of variables, then we will look at ways to analyze all variables in a dataset simultaneously. We will be using the seaborn library for this section.

Start this course

Pandas: Apply functions and GroupBy

Category: Data Science and Big Data