Emeritus collaborates with over 50 universities worldwide to bring you comprehensive futuristic learning experiences in various subjects. Below you will find courses with a curriculum designed to help you learn or become more proficient in Python. Some courses require no experience and will help you learn the fundamentals of coding in Python, while other courses are more advanced, and designed for mid-career professionals aiming to switch to data engineering from IT, analytics, or another technical field. Click on individual courses below to learn about the curriculum, duration, eligibility, highlights, and learning outcomes.
What Is Python?
A recent focal point in the ever-evolving world of data science is the rapid growth of Python. Created in 1991 by Guido van Rossum, Python is a programming language that employs the open-source model to bolster adoption and innovation. Versatile and concise, it eliminates the need for developers to deliberate over design decisions as there is only a single appropriate way of writing a piece of code.
Python is a general-purpose coding language used for a wide array of web development and information technology jobs. With over 8 million developers, it is now being incorporated into non-technical fields, such as sociology.
Keep Reading: What is Python Coding?
How To Learn Python?
An advanced understanding of Python is crucial for anyone looking to advance their career in web development, computer programming, coding, cybersecurity, or data science. And given the demand, there are numerous online Python courses available.
Although often studied as part of a computer science degree, Python can also be easily learned using online training programs, books, and tutorials. A platform like Anaconda is an excellent place to start as it tackles configuration and installs various third-party modules. Cloud-based editors, like REPL, work equally well. The installation process is straightforward; presently, most Linux and UNIX distributions include an updated version of Python.
What skills are related to Python?
In addition to thoroughly understanding the fundamentals, a reliable developer must deepen their knowledge of the more advanced areas of Python. However, it is always helpful to brush up on the basics before diving into intricacies.
- Expertise in Core Python- The primary concepts involved in Core Python are:
- Exception handling
- File handling concepts
- Data types and variables
- OOPs concepts
- Data structures
- Object Relational Mappers (ORM) - ORM helps to convert data between two incompatible systems by creating a virtual object database that can be applied to any programming language. Programmers employ customized ORM tools to boost efficiency.
- Data Science Proficiency - Data science and quantum computing are set to lead the way into the future. Some of the essentials of data science that programmers regularly dabble in are data visualization and analysis, data wrangling, cleaning up of data, Python packages, and a good grasp of SQL.
- Deep Learning - Key aspects of deep learning include audio and video processing and natural language processing (NLP). Coupled with AI and neural networks, they constitute a solid ground for learning Python.
- Machine Learning and Artificial Intelligence - Machine learning and artificial intelligence have been Python’s biggest allies in the exponential growth of the language. Analytics libraries, such as SciPy, NumPy, and Pandas, help create data solutions much faster than traditional machine learning algorithms.
The aforementioned skills, along with multi-process architecture, analytical skills, and design skills, comprise Python programming. They can be easily mastered through online Python courses that also offer certification.
What’s the difference between Python and R?
Both Python and R are open-source programming languages that are changing the dynamics of digital technology through data-driven innovation and AI. The two languages are equally suited for data science and related tasks. However, while Python is a general-purpose programming language, R is firmly grounded in statistical analysis. The distinction, essentially, lies in the specific use cases for both languages.
While Python is better suited to deploy large-scale machine learning, R is optimized for conducting statistical analyses and data visualization. The difference lies in the approach to data science; Python takes a more general view of data wrangling.
What Jobs Use Python?
There is no shortage of jobs for a skilled Python programmer, and the language is associated with some of the highest-paying jobs in the world. Industry giants such as Apple, Amazon, Tesla, and Meta have ample job openings requiring Python proficiency.
A Python-skilled individual could pursue a career in software engineering, Python development, data analysis, data science, research analysis, and software development. Some industries with high demand for Python include IT, finance, education, retail, manufacturing, and consultation.
Can I work full-time while learning Python online?
Python is a programming language requiring dedication and regular practice. However, the basics of the language can be learned in a week and will help draft simple programs quickly. Taking an online Python course for 20 minutes every day while working full-time can yield astonishing results.
How valuable is an online Python certificate?
While Python certification isn’t a prerequisite for landing a job, it is certainly a noteworthy credential. A Python certification is a testament to one’s proficiency in one of the most popular programming languages in the world.
Although there is no official Python certification, there are various levels of learning and certificates offered by various organizations offline and online.
Why take an online course at Emeritus?
Each Emeritus online course is designed with key learning outcomes in mind by a team of experts. We use the backward design methodology to develop instruction for learners of all ages. This enables us to craft unique, interactive, learning experiences that include a combination of assessments, hands-on activities, skill applications, and more.
Emeritus also teams up with the best universities and faculty around the world to curate the course curriculum that can effectively tackle present challenges in the industry, while preparing you for the trends and risks in the future. Our courses consist of assignments, exams, capstone projects, networking opportunities, a fine balance of practical and theoretical concepts and the opportunity to learn from the top minds. This adds to the holistic experience we try to provide for each learner.
We are also focused on providing courses that are standardized in quality. This is done by adhering to standards set by a global organization called Quality Matters which is focused on providing quality standards for online and innovative digital teaching and learning environments. The rigorous criteria ensure all our learners invest in quality education.