Python for Data Analysis
This Python course provides a beginner-friendly introduction to Python for Data Analysis. Practice through lab exercises, and you’ll be ready to create your first Python scripts on your own!
There is a session available:
This course is part of a professional certificate
About this course
Kickstart your learning of Python for data analysis, as well as programming in general with this introduction to Python course. This beginner-friendly Python course will quickly take you from zero to programming in Python in a matter of hours and give you a taste of how to start working with data in Python.
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.
FREE add a verified Certificate at 99USD
Gryotis Digital Academy
What you’ll 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 Python is and why it is useful
The application of Python to Data Science
How to define variables in Python
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.
Module 1- Python Basics
Your first program
Expressions and Variables
Module 2- Python Data Structure
Lists and Tuples
Module 3- Python Programing Fundamentals
Conditions and Branching
Objects and Classes
Module 4- Working with data in Python
Reading files with open
Writing files with open
Loading data with Pandas
Working with data with Pandas
Module 5- Working with Numpy array
Numpy 1d Arrays
Numpy 2d Arrays
Join us! It will only take a minute
GET A PROFESSIONAL DATA ANALYSIS CERTIFICATE
You will learn the core principals of data analysis, participate in hands-on skills-based practice, and gain the knowledge to help companies make smarter business decisions