Like Perl, Ruby, Scheme, and Java, Python is an object-oriented programming language that is easy to learn and use. Prototyping and other ad-hoc jobs are made much easier with their clear syntax and their use in programming. The Python standard library supports programming operations like connecting to web servers, searching for text using expressions, and reading and editing files.
Adding additional modules to the language is another way to make it more versatile. Coursera and other online training courses will help you improve your data analytics abilities, whether you’re hoping to use them in the workplace or for fun. On this list, you’ll find some of the most excellent Python courses on Coursera and training from reputable online providers. In this post, you will find the best python course on Coursera.
Programming For Everybody (Getting Started with Python)
- Learn How To Install Python & Writes’ First Program
- Explain the fundamentals of Python programming
- Use variables to store, retrieve, and calculate information
- Use programming tools like functions and loops
Coursera’s Python course is one of the most popular and well-regarded offerings. More than 975,145 pupils have already signed up for this shows how popular it is. This program is available at the University of Michigan and several of the world’s most prestigious academic institutions. This course is free, but you must pay for the certificate of completion, which is roughly $39 a month, if I’m not mistaken. The course at Michigan University costs approximately $15,000.
This course teaches the fundamentals of computer programming using the Python programming language. It is an excellent resource for those just getting started with Python since it walks you through the fundamentals of writing a program from scratch using a set of simple instructions. All except the simplest mathematics are avoided in this course, with no prerequisites. However, anyone with some knowledge of computers must be able to grasp the concepts presented. In ‘Python for Everybody,’ chapters 1–5 will be covered in this course.
Google IT Automation Using Python Professional Certificate
- Write Python scripts to automate tasks.
- Use Git and GitHub to keep track of changes to your codebase
- Manage large-scale IT resources, including both physical and virtual cloud machines
- Solve real-world IT challenges by analyzing and implementing the relevant techniques
Python is a great programming language to learn if you want to work in practically any field. Data science and artificial intelligence all make use of this programming language. The IT Automation with Python Professional Certificate is a great place to start if you’re new to Python. If you want to master the Python language or learn how to automate your everyday chores, this professional certificate is for you. You’ll also learn the language’s strengths and versatility.
It is possible to earn this certificate in around six months. It is meant to prepare you for a range of IT careers via more advanced IT Support Specialist and Junior Systems Administrator employment. You should install Python on your computer to get the most out of it. You will require a machine with a Git-enabled operating system for some courses. You’ll begin by learning the Python programming language, and then you’ll use it to communicate with the operating system. Afterwards, you’ll learn how to use Git and GitHub and a few basic debugging techniques. Finally, you’ll learn to automate Python chores in the cloud and the real world.
Python data structures
- Acknowledge the principles of data structures and how they are used
- Create a program to read and write data from files
- Store data as a key using Python dictionaries
- Use tuples to do multi-step operations like sorting and looping.
Even if you don’t have a background in computer science, you may benefit from this course’s introduction to Python’s fundamental data structures regardless of your level of experience with the Python programming language. Three hundred twenty-six thousand two hundred seventy pupils have been taught data structures by it. Using Python’s built-in data structures, such as lists and dictionaries and tuples, you’ll learn how to do progressively complicated data analysis. If you don’t need a degree and want to enhance your Python data structure and algorithm abilities, you may take this course.
Using Python to Access Web Data
- Learn how to use regular expressions to extract data from strings.
- Acknowledge the protocols used by web browsers to retrieve content and web-based applications.
- Using Python to retrieve data from websites and APIs
- Learn how to use XML data
It is a crucial one from the Python for Everyone specialty. It is yet another course you should do. In this course, you will learn how to use the Internet as a valuable source of information. This course will teach Python web scraping, parsing, reading, web APIs, HTML, XML, and JSON data formats. Python for Everybody, Chapters 11–13, will be covered in this course. Throughout this specialization, the first two courses and Chapters 1–10 of the textbook will help you get through this course. As with other Coursera courses, this one is free to audit for anybody interested in taking it.
Using Databases with Python & SQL
- Use the Create, Read, Update, and Delete actions
- Explain the Basis of Object-Oriented Python
- Learn how data is stored in multiple tables in a database
- Use the Google Maps API for visualizing data
This course will teach basic database design concepts to help students better understand using a structured query language (SQL) and the relational database management system (RDBMS). The course’s database will be SQLite3. It will also develop web crawlers and multi-step data collection and visualization methods. You will use the D3.js package to create simple data visualizations. Python for Everybody: Chapters 14–you will cover 15 in this course. You must complete the first three courses in this specialty to succeed in the course. It’s free to join if you don’t require a certificate and has over 188,647 registered Python programmers.
Capstone: Retrieving, Processing, & Visualizing Data With Python
- Use Unicode characters and strings.
- Learn how to create a search engine from scratch.
- Pick and choose which data you want to work with.
- Make data visualizations for email.
Remember that each Coursera specialization has a hands-on project that you must complete to receive the accompanying certificate; this course is the project for “Python for Everybody,” the most prominent Coursera specialization for Python. Using Python, you’ll create a collection of apps for retrieving, processing, and visualizing data. In addition, you will incorporate all of the specialization’s components into the projects.
Once you’ve done several visualizations to get a feel for how the technology works, you’ll be able to work on a personal project to visualize some more data. More than 60,084 Python developers have taken this course, and if you’re searching for a Python project to practise your newfound abilities, this is it. After finishing this project or other related courses, you will also obtain a certificate of accomplishment, which you may place on your LinkedIn page.
Python Project: Pillow, Tesseract, & Opencv
- Learn how to use APIs and third-party libraries.
- Learn how to use the Python imaging library (pillow) to examine and edit photos and add text.
- Learn how to apply the Python tesseract library with Python 3 to detect text in images via optical character recognition (OCR).
- Learn how to apply the OpenCV computer vision library to create face detection and contact sheet.
This course will guide you through an appropriate project for a resume. Pillow, tesseract, and OpenCV will all be demonstrated in this course so that you may learn how to modify pictures, detect faces in photos, and use optical character recognition (OCR) in a variety of ways. A real-world data analysis project will be completed by the conclusion of the course, using three separate Python 3 packages.
Learners who have completed the previous 4 Python 3 Programming Specialization courses are best suited for this course. This course is ideal for Python programmers who wish to exercise their abilities in a hands-on, real-world data-analytics project. If you’ve already completed the Python 3 Programming Specialization’s first four courses, this course is ideal for you. This course is ideal for Python programmers who wish to exercise their abilities in a hands-on, real-world data-analytics project.
Introduction to Data Science in Python
- Learn techniques like Lambas & manipulation of CSV files.
- Learn Query DataFrame Structure for cleaning and processing
- Explain distributions, sampling, and t-tests.
This course will teach you how to use basic Python programming techniques, such as lambdas, CV file reading and manipulation, and the NumPy module to solve problems. With the help of the widely used Python statistics data science library, including lessons on how to use methods such as merge and pivot tables to their full potential, students will learn how to manipulate and clean data using the famous Pandas data science library.
When students complete this course, they will be able to analyze tabular data using fundamental inferential statistical techniques. Applied Plotting, Charting, and Data Representation in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python are prerequisites for this course. More than 310,335 students registered in the course attest that it is specifically intended to teach data science using Python.
Python for Data Science, AI, and Development
- Learn the basics of Python, including types, expressions, and variables.
- Learn lists, tuples, dictionaries, and sets
- Learn how to create a variety of practical applications. Using branching, loops, functions, objects, and classes
- Working with data in Python using Pandas and Numpy Libraries
This beginner’s Introduction to Python course will get you up and running with Python for data science and programming in general. It’s never been more important for professionals to be able to utilize Python foundations to create business solutions across sectors than it is now. Therefore, no prior programming knowledge is required for this course, which will have you up and running with Python in no time.
You’ll practice your newfound knowledge throughout the courses with hands-on activities and a culminating project demonstrating your Python mastery. Throughout this course, you’ll learn how to write simple Python programs, interact with data, and tackle real-world issues. You’ll get a solid grounding in the industry, and you’ll be able to use the skills you acquire to enhance your career. It is possible to use this course for various professional certificates and specialization programs.
Conclusion
Find the courses and specializations on Coursera to be of help. You might also consider signing up for Coursera Plus, the subscription plan via Coursera that gives you access to their most popular courses, professional credentials, and guided projects. It costs about $399 a year, but you receive limitless certificates as part of the deal.
The Python for Everybody Specialization is an example of a Coursera Specialization that will require you to learn systematically and provide you with an official certificate that shows your proficiency in Python. Coursera Specializations are great for people just starting in Python and want a credential to prove it. We hope you must have understood everything regarding the best Python course on Coursera.
Learn more about authors in Nimblefreelancer's team biography page.
