Delve into foundational Python programming, explore libraries like pandas and Matplotlib, and gain insights into data management, analysis, and visualization with practical projects.

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Python is one of the most popular programming languages for data science and analytics. It’s used across a wide range of industries. It’s easy to learn, highly flexible, and its various libraries can expand functionality to natively perform statistical functions and plotting.

This course is a comprehensive introduction to statistical analysis using Python. You’ll start with a step-by-step guide to the fundamentals of programming in Python. You’ll learn to apply these functions to numerical data. You’ll first look at strings, lists, dictionaries, loops, functions, and data maps. After mastering these, you’ll take a deep dive through various Python libraries, including pandas, NumPy, Matplotlib, Seaborn, and Plotly. You’ll wrap up with guided projects to clean, analyze, and visualize unique datasets using these libraries.

By the end of this course, you will be proficient in data science, including data management, analysis, and visualization.

Introduction to Data Science with Python

Fancy indexing allows us to select entire rows or columns out of order. 

Let's create a NumPy array to see how it works!

> Do you remember `zeros()`, `range()`, `shape` and `broadcasting`? 

Let’s revise these concepts:

* Setting `array_2d = np.zeros((5,5))` creates a 2-D array of 5 rows and 5 columns containing all zeros.
* Setting `array_2d[1]=1` broadcasts 1 to the complete 2nd row.
* Setting `array_2d[2]=2` broadcasts 2 to the 3rd row.
* Setting `array_2d[3]=3` broadcasts 3 to the 4th row.
* Setting `array_2d[4]=4` broadcasts 4 to the 5th row.
* Passing `print(array_2d)` prints a matrix.

Let’s also try using the `for` loop for the tasks given above to see if it works. The comments are provided for revision:

Let’s learn about fancy indexing in Python.

Introduction

Python Essentials

NumPy: Data Analysis

Pandas: Data Analysis

Matplotlib: Data Visualization

Seaborn: Statistical Data Visualization

Data Visualization with Seaborn for Walmart Sales Projection

Pandas: Data Visualization

Data Visualization with Seaborn for Walmart Sales Projection

Plotly: Interactive Data Visualization

Project 1: Oil vs Banks During Recession

Project 2: Emergency Calls Dataset

In Closing

Fancy Indexing