Course Overview

Start learning Python from scratch with this expert-taught, self-paced course designed for beginners. In the field of programming and data science, Python is one of the most widely used languages, and there is a growing need for people who can apply Python.

No prior programming expertise is required—this introduction to Python course will take you from nothing to programming in Python in a couple of hours! The fundamentals of Python and its many data types will be covered. You will become acquainted with branching and conditions in logic, as well as data structures like lists and tuples in Python. Python libraries like Pandas, Numpy, and Beautiful Soup will be used. Additionally, Python will be used for activities like web scraping and data collection using APIs.

With the use of Jupyter Notebooks, you will practise and apply what you have learned in practical laboratories. By the time this course ends, you should be able to use Python to create simple programmes, work with data, and automate everyday chores.

What you'll learn

• Data Science
• Data Analysis
• Python Programming
• Numpy
• Pandas

Requirements

• Basic knowledge of Python programming and data.
• A computer or laptop with internet connectivity.
• Learn all about AI development in only twenty-five hours.
• Flexible work schedule.

AccessTo Career Resources with IBM Python for Data Science, AI & Development Certificate Course

Enroll Free

Enhanced Employability:

An outstanding IBM Python for Data Science, AI & Development Certificate that increases your chances of landing the best jobs.

Competitive Advantage:

A chance to differentiate yourself from the crowd and leave a greater impact on prospective employers.

Skill Validation:

A strong validation of your data science skills verifies your ability to perform all AI development-related tasks successfully.

Networking Opportunities:

The IBM Python for Data Science, AI & Development Certificate course provides ample networking opportunities for participants. Through interactive sessions, group discussions, and cooperative exercises, learners can establish connections with industry professionals and their peers.