env.tar.gz

Python3

Ready to move past Excel for complex business analysis? Then you’ll find this course very helpful.

This hands-on introductory Data Science course is aimed at professionals and students who don't have any experience with programming. It will help you advance your career by preparing you to conduct meaningful data analysis in Python on any dataset — large or small.

You’ll begin with the fundamentals of Python, with focus on CSV files in Python, covering concepts like data preprocessing and Exploratory Data Analysis (EDA). In the second half, you'll focus on predictive and inferential analysis using statistical and machine learning techniques, and learn how these techniques can help solve business problems.

Data Science for Non-Programmers

## Bivariate plots
**Bivariate plots** are plots that aim to graph the relationship between two variables. These plots can help us establish relationships and patterns in the data. Some common bivariate plots are:
* *scatter plots*
* *bar plots*
* *histograms*

Let's look at some of these plots and how we can plot them using Pandas and matplotlib. We will be using [Sample Sales Data](https://www.kaggle.com/kyanyoga/sample-sales-data). The data is in *sales_data_sample.csv* file. Have a look at the data.

# Bivariate plots
**Bivariate plots** are plots that aim to graph the relationship between two variables. These plots can help us establish relationships and patterns in the data. Some common bivariate plots are:
* *scatter plots*
* *bar plots*
* *histograms*

Let's look at some of these plots and how we can plot them using Pandas and matplotlib. We will be using [Sample Sales Data](https://www.kaggle.com/kyanyoga/sample-sales-data). The data is in *sales_data_sample.csv* file. Have a look at the data.

This lesson will describe the process of plotting bivariate plots of the data from a csv file in Python.

What is Data Science

Python Basics

Handling Tabular Data in Python

Data Cleaning

Exploratory Data Analysis

Statistical Inference

Predictive Models

Machine Learning

Plotting Data 2: Bivariate Plots

Bivariate plots