Gain insights into conducting meaningful data analysis in Python without prior programming experience. Discover Python fundamentals, data preprocessing, EDA, and predictive analytics for solving business problems.

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

## Why loops?
Many times, during programming, we have to repeat the same task a number of times. For instance, we have a list of numbers and we want to double every number in it. Here, we want to perform the same task for every item on our list. This is where loops come in handy.  **Loops** are used to execute the same block of code a fixed number of times. 

There are two kinds of loops in Python. 

* The `for` loop
* The `while` loop

# Why loops?
Many times, during programming, we have to repeat the same task a number of times. For instance, we have a list of numbers and we want to double every number in it. Here, we want to perform the same task for every item on our list. This is where loops come in handy.  **Loops** are used to execute the same block of code a fixed number of times. 

There are two kinds of loops in Python. 

* The `for` loop
* The `while` loop

This lesson will introduce loops in Python.

What is Data Science

Python Basics

Handling Tabular Data in Python

Data Cleaning

Exploratory Data Analysis

Statistical Inference

Predictive Models

Machine Learning

Loops

Why loops?