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Jump-start your learning of Python for data science, as well as programming in general, with this introduction to Python for beginners. Python is one of the most popular programming languages in the world, and there has never been a greater demand for professionals with the ability to apply Python fundamentals to power business solutions across industries. This course will take you from scratch to programming in Python in a matter of hours, no prior programming experience necessary! You will learn Python
Jump-start your learning of Python for data science, as well as programming in general, with this introduction to Python for beginners.
Python is one of the most popular programming languages in the world, and there has never been a greater demand for professionals with the ability to apply Python fundamentals to power business solutions across industries.
This course will take you from scratch to programming in Python in a matter of hours, no prior programming experience necessary! You'll learn the fundamentals of Python, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a capstone project to demonstrate your new skills.
By the end of this course, you will be comfortable creating basic programs, working with data, and solving real-world problems in Python.
You'll gain a solid foundation for further learning in the field and develop skills to help you advance your career.
This course can be applied to multiple specialization or professional certificate programs.
Completion of this course will count toward your learning in any of the following programs: IBM Applied AI Professional Certificate Applied Data Science Specialization IBM Data Science Professional Certificate Upon completion of any of the above programs, in addition to earning a certificate of completion coursera specialization, you will also receive a digital badge from IBM that recognizes your expertise in the field.
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This module teaches the basics of Python and starts by exploring some of the different data types, such as integers, real numbers, and strings. Continue with the module and learn how to use expressions in mathematical operations, store values in variables, and the different ways to manipulate strings.
This module begins a journey into Python data structures by explaining the use of lists and tuples and how they can store collections of data in a single variable. Then learn about dictionaries and how they work by storing data in pairs of keys and values, and finish with Python sets to learn how this type of collection can appear in any order and will only contain unique elements.
This module discusses the basics of Python, beginning with the concepts of conditions and branching. Continue with the module and learn how to implement loops to iterate over sequences, create functions to perform a specific task, perform exception handling to catch errors, and how classes are needed to create objects.
This module explains the basics of working with data in Python and starts you off with learning how to read and write files. Continue with the module and discover the best Python libraries that will help in data manipulation and mathematical operations.
This module delves into the unique ways of collecting data through the use of APIs and webscraping. Additionally, it explores data collection by explaining how to read and collect data when dealing with different file formats.
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Data science, business and personal development. You can enroll in multiple courses at once, earn unlimited certificates, and learn in-demand job skills to start, grow, and even change careers.
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