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Python Basics for Data Science

,, --- , Prof. Joseph Santarcangelo 0.0 ( Reviews) 17674 Students Enrolled

Updated On 02 Feb, 19

Overview

This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!

Course Description

This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.

Upon its completion, you'll be able to write your own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment. If you want to learn Python from scratch, this course is for you.

You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you get free access to Watson Studio. Start now and take advantage of this platform.

What you will learn

The objectives of this course is to get you started with Python as the programming language and give you a taste of how to start working with data in Python.

In this course you will learn about:



  • What is Python and why is it useful

  • The application of Python 

  • How to define variables

  • Sets and conditional statements in Python

  • The purpose of having functions in Python

  • How to operate on files to read and write data in Python

  • How to use pandas, a must have package for anyone attempting data analysis in Python.

Pre-Requesities

Basic Math

Syllabus

Module 1 - Python Basics
Your first program
Types
Expressions and Variables
String Operations

Module 2 - Python Data Structures
Lists and Tuples
Sets
Dictionaries

Module 3 - Python Programming Fundamentals
Conditions and Branching
Loops
Functions
Objects and Classes

Module 4 - Working with Data in Python
Reading files with open
Writing files with open
Loading data with Pandas
Working with and Saving data with Pandas

Module 5 - Working with Numpy Arrays
Numpy 1d Arrays
Numpy 2d Arrays

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