Python for Data Science Kickstart your learning of Python for Data Science, as well as programming in general, with this beginner-friendly introduction to Python.
Python is one of the world’s most popular programming languages, and there has never been a greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries.
This course will take you from zero to programming in Python in a matter of hours—no prior programming experience is necessary!
You will learn Python fundamentals, including data structures and data analysis, complete hands-on exercises throughout the course modules, and create a final project to demonstrate your new skills. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and solving real-world problems in Python. You’ll gain a strong foundation for more advanced learning in the field, and develop skills to help advance your career.
This course can be applied to multiple Specialization or Professional Certificate programs. Completing this course will count towards 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 Specialization completion certificate from Coursera, you’ll also receive a digital badge from IBM recognizing your expertise in the field.
This course can help you earn multiple Specializations or Professional Certificates. When you finish this course, it will count towards your learning in any of the following programs:
- Python is a programming language with many features including types, expressions, and variables. In this section, you will learn the basics of this language.
- Python has a variety of data structures including lists, tuples, dictionaries, and sets. In this section, you will learn about these data structures and how to use them.
- Python provides a number of features that allow you to program using branching, loops, functions, objects, and classes. In this section, you will learn how to use these features.
Skills You Will Gain Python For Data Science, AI & Development Course
- Data Science
- Python Programming
- Data Analysis
- Pandas
- Numpy
Python is a versatile programming language that can be used for a variety of tasks, from data science to artificial intelligence (AI) to software development. This course introduces Python and its application in various fields. Published by Coursera Academy, the course is a prerequisite for a number of Corsara training programs and collections.
In partnership with IBM, this course is one of the most popular Python introductory courses at Coursera Academy. Python is a widely used programming language, and there is a growing demand for professional Python developers. This demand is expected to continue to rise in the coming years.
This course is perfect for beginners and can introduce you to the basics of the Python programming language in just one hour. This training course is completely project-oriented and during its training process, you will get acquainted with the data structure and data analysis process in Python. As mentioned a while ago, this training course is considered as a prerequisite in a series of official programs and Corsara training sets, the most important of which are the following:
- The IBM Data Analyst Professional Certificate program is designed for those who want to pursue a career in data analysis. The program provides the skills and knowledge necessary to become a data analyst, including how to use data to improve business decisions, how to work with data mining and predictive modeling tools, and how to communicate effectively with data.
- The IBM DevOps and Software Engineering Professional Certificate program is designed for those who want to pursue a career in software engineering. The program provides the skills and knowledge necessary to become a software engineer, including how to use DevOps tools and practices to speed up software development, how to design and implement software applications, and how to test and deploy software.
- The Data Science Fundamentals with Python and SQL Specialization is designed for those who want to learn the basics of data science. The specialization covers the fundamentals of data science, including how to use Python and SQL to manipulate data, how to perform data analysis, and how to build data-driven applications.
- The IBM Data Engineering Professional Certificate program is designed for those who want to pursue a career in data engineering. The program provides the skills and knowledge necessary to become a data engineer, including how to design and build data pipelines, how to work with data warehousing and big data technologies, and how to deploy and manage data-driven applications.
- The IBM Applied AI Professional Certificate program is designed for those who want to pursue a career in artificial intelligence. The program provides the skills and knowledge necessary to become an AI practitioner, including how to use AI tools and techniques to solve business problems, how to build AI-powered applications, and how to deploy and manage AI systems.
- The Data Engineering Foundations Specialization is designed for those who want to learn the basics of data engineering. The specialization covers the fundamentals of data engineering, including how to design and build data pipelines, how to work with data warehousing and big data technologies, and how to deploy and manage data-driven applications.
- The IBM Full Stack Software Developer Professional Certificate program is designed for those who want to pursue a career in software development. The program provides the skills and knowledge necessary to become a full-stack software developer, including how to design, develop, and deploy software applications, how to work with web and mobile technologies, and how to test and debug software.
- The Applied Data Science Specialization is designed for those who want to learn how to use data science to solve real-world problems. The specialization covers the basics of data science, including how to use Python and SQL to manipulate data, how to perform data analysis, and how to build data-driven applications.
- The IBM Data Science Professional Certificate program is designed for those who want to pursue a career in data science. The program provides the skills and knowledge necessary to become a data scientist, including how to use data to improve business decisions, how to work with data mining and predictive modeling tools, and how to communicate effectively with data.
Python For Data Science, AI & Development Course Specifications
- Publisher: Coursera
- Instructors: Joseph Santarcangelo
- Language: English
- Level: Beginner
- Institution/university: IBM
- Number of Weeks: 5
- Duration: Approximately 21 hours
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