In the dynamic world of technology and data science, the demand for skilled professionals who can navigate the complexities of data analysis, software development, and automation has surged. Central to meeting this demand is proficiency in Python, the most popular programming language renowned for its versatility, readability, and comprehensive libraries. Coursera‘s latest offering, an in-depth course designed to introduce learners to Python and its application in Data Science, stands as a beacon for those eager to dive into this critical skill set. This beginner-friendly, self-paced course, led by industry experts, promises to take participants from novices to confident Python programmers. Whether you aim to break into Data Science, enhance your Data Analysis capabilities, contribute to Software Development, or explore fields like Data Engineering, AI, and DevOps, this course is your gateway to building foundational expertise and scaling new professional heights.

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What you’ll learn

• Learn Python – the most popular programming language and for Data Science and Software Development.
• Apply Python programming logic Variables, Data Structures, Branching, Loops, Functions, Objects & Classes.
• Demonstrate proficiency in using Python libraries such as Pandas & Numpy, and developing code using Jupyter Notebooks.
• Access and web scrape data using APIs and Python libraries like Beautiful Soup.

Skills you’ll gain

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

Build your subject-matter expertise

This course is available as part of multiple programs

When you enroll in this course, you’ll also be asked to select a specific program.

• Learn new concepts from industry experts
• Gain a foundational understanding of a subject or tool
• Develop job-relevant skills with hands-on projects
• Earn a shareable career certificate

There are 5 modules in this course

Kickstart your learning of Python with this beginner-friendly self-paced course taught by an expert. Python is one of the most popular languages in the programming and data science world and demand for individuals who have the ability to apply Python has never been higher.

This introduction to Python course will take you from zero to programming in Python in a matter of hours—no prior programming experience necessary! You will learn about Python basics and the different data types. You will familiarize yourself with Python Data structures like List and Tuples, as well as logic concepts like conditions and branching. You will use Python libraries such as Pandas, Numpy & Beautiful Soup. You’ll also use Python to perform tasks such as data collection and web scraping with APIs. You will practice and apply what you learn through hands-on labs using Jupyter Notebooks. By the end of this course, you’ll feel comfortable creating basic programs, working with data, and automating real-world tasks using Python. This course is suitable for anyone who wants to learn Data Science, Data Analytics, Software Development, Data Engineering, AI, and DevOps as well as a number of other job roles.

Modules

Python Basics

This module teaches the basics of Python and begins 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 many different ways to manipulate strings.

Python Data structures

This module begins a journey into Python data structures by explaining the use of lists and tuples and how they are able to store collections of data in a single variable. Next learn about dictionaries and how they function by storing data in pairs of keys and values, and end with Python sets to learn how this type of collection can appear in any order and will only contain unique elements.

Python Programming Fundamentals

This module discusses Python fundamentals and begins with the concepts of conditions and branching. Continue through 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.

Working with Data in Python

This module explains the basics of working with data in Python and begins the path with learning how to read and write files. Continue the module and uncover the best Python libraries that will aid in data manipulation and mathematical operations.

API’s, and Data Collection

This module delves into the unique ways to collect data by the use of APIs and webscraping. It further explores data collection by explaining how to read and collect data when dealing with different file formats.

Conclusion

Embarking on this Python course with Coursera offers more than just an introduction to programming; it is a journey into the heart of the digital age’s most sought-after skills. By the course’s conclusion, learners will not only grasp Python’s basics and its pivotal libraries like Pandas and Numpy but also gain hands-on experience with real-world applications such as data collection and web scraping. This comprehensive curriculum, complemented by practical labs in Jupyter Notebooks, ensures that participants emerge with the confidence to tackle real-world data challenges and the competence to contribute meaningfully to various tech-centric job roles. With the added advantage of earning a shareable career certificate, learners affirm their commitment to professional development and readiness to meet the industry’s evolving demands. Whether you’re looking to start a career in Data Science, advance in Software Development, or explore the vast applications of Python across different fields, this course is a solid step towards achieving those goals. Join us on this transformative educational journey, and unlock the door to limitless opportunities in the tech world.