The demand for Data Scientists is immense
In this course, you’ll learn how you can play a part in fulfilling this demand and build a long, successful career for yourself.
Data is more important than ever in a world full of uncertainty. Across industries, data scientists are using their skills to help businesses optimize resources and make data-driven decisions. Keep reading to get more insights on the data science field from Joseph Santarcangelo, PhD, IBM data scientist, and instructor for several edX data science courses and programs.
Whether you want to explore data science for the first time, gain additional skills to advance your career, or get a degree, you can get started today.
Python Basics for Data Science
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!
About this course
Kickstart your learning of Python for data science, 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.
You can start creating your own data science projects and collaborating with other data scientists using IBM Watson Studio. When you sign up, you will receive free access to Watson Studio. Start now and take advantage of this platform and learn the basics of programming, machine learning, and data visualization with this introductory course.
Module 1 – Python Basics
Your first program
Expressions and Variables
Module 2 – Python Data Structures
Lists and Tuples
Module 3 – Python Programming 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 and Saving data with Pandas
Module 5 – Working with Numpy Arrays
Numpy 1d Arrays
Numpy 2d Arrays