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Python Basics For Data Science Full Course EDX

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!

Estimated 3 weeks: 4–10 hours per week
Self-paced: progress at your own speed
Course Type: Free – Optional upgrade available

If it’s not too much trouble, Note: Learners who effectively complete this IBM course can procure an expertise identification – an itemized, evident and computerized certification that profiles the information and abilities you’ve obtained in this course. Select to find out more, complete the course, and guarantee your identification!

Launch your learning of Python for information science, as well as programming overall with this prologue to Python course. This amateur amicable Python course will rapidly take you from zero to programming in Python very quickly and provide you with a sample of how to begin functioning with information in Python.

Upon its fruition, you’ll have the option to compose your own Python scripts and perform fundamental active information investigation utilizing our Jupyter-based lab climate. To gain Python without any preparation, this course is for you.

You can begin making your own information science projects and working together with different information researchers utilizing IBM Watson Studio. At the point when you join, you will get free admittance to Watson Studio. Start now and exploit this stage and become familiar with the rudiments of programming, AI, and information perception with this early on course.

At a glance:

  • Institution: IBM
  • Subject: Data Analysis & Statistics
  • Level: Introductory
  • Prerequisites: Basic Math
  • Language: English
  • Video Transcript: English
  • Associated programs:
    • MicroBachelors Program in Full Stack Cloud Application Development
    • Professional Certificate in Full-Stack Cloud Developer
    • Professional Certificate in Data Engineering Fundamentals
    • Professional Certificate in Applied AI
    • Professional Certificate in Python Data Science
    • Professional Certificate in IBM Data Science
    • Professional Certificate in Data Analyst
    • Professional Certificate in Data Engineering

The objectives of this course are 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
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

Joseph Santarcangelo

PhD., Data Scientist • IBM

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