Gain insights into performing predictive data analysis using Python. Learn about tools like NumPy, Pandas, Matplotlib, and Seaborn, and applying techniques to real-world financial and advertisement projects.

seaborn.tar.gz

seaborn

In this course, you will learn how to perform predictive data analysis using Python. The ideal audience is those who want to start their careers as data analysts. The main goal of this course is to show you how to use statistics to draw useful insights from data which can help in predicting future behavior or patterns.

Beyond that, you’ll learn all the tools of the trade that data scientists use everyday including: NumPy, Pandas, Matplotlib, and Seaborn. You’ll learn not only how to extract meaningful insights from data, but you’ll also learn how to create stunning visualizations that you can use for reports.

Various datasets of real-world scenarios are used in each lesson to get you accustomed to handling any type of data. At the end of the course, you will work on two real-world projects that demonstrate how data analysis techniques are being used in the financial and advertisement sector to generate revenue.

Predictive Data Analysis with Python

# NumPy
[NumPy](https://numpy.org/) can be defined as an interactive Python package for array processing, and it is mostly used to perform scientific programming. It can also hold generic data in a container with n-dimensions.


`NumPy` package can be imported in our program using the following command:

``` python
import numpy as np
```

Due to its flexible nature, a `NumPy` object can easily be integrated and used with other data analysis tools like pandas.

## Features of `NumPy`

* Faster than conventional arrays

* Takes less space than conventional arrays

* Provides extended functionalities

* Size and type of array is fixed; this is defined at creation

* Cannot append new values like `lists`

___

In the next lesson, array creation using `NumPy` is explained.

In this lesson, we introduce Python's NumPy library.

Getting Started

Numpy for Python

Pandas for Python

Statistics for Data Analysis

Data Wrangling

Visualizing the Data

Data Scraping

Project #1

Project #2

Conclusion

Predictive Data Analysis Exam

What is NumPy?

NumPy