Learn Python programming through real-world applications, gaining the ability to automate tasks, analyze data, and build useful digital tools.
Unlock the power of Python for data-driven decision-making as you master Python programming fundamentals and dive into data analysis. Acquire essential skills to clean and manipulate data, create insightful visualizations, and perform statistical analysis, all through hands-on projects with real-world datasets.
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.
Learn the skills needed to become a Python Developer, from Python programming fundamentals to web development with Django and Django REST. Develop in-demand skills with Django, a popular Python web framework used for back-end web programming, and build a portfolio of projects under the guidance of the lead instructor.
Learn the essential skills needed to become a Data Analyst or Business Analyst, including data analysis, data visualization, and statistical analysis. Gain practical experience through real-world projects and prepare for a successful career in the field of data analytics.
Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.
Learn Python programming from scratch. Master variables, data types, loops, and functions, and tackle real-world challenges with object-oriented programming. Create a GitHub portfolio to impress employers and master practical Python skills.
Learn how to use Python to extract data from websites and write loops for processing a large number of pages. This course covers topics such as HTML and CSS, Python fundamentals, web scraping exercises, storage and scheduling, and real-life examples of scraping valuable data.
Learn to gather, manipulate, and analyze real-life data in this course, where you'll gain hands-on experience with Python's NumPy and Pandas libraries. Develop your data visualization skills using Matplotlib, Seaborn, Plotly, and Dash Enterprise, and complete real-life projects that can be deployed online.
Create, style, and enhance web apps with AI capabilities. In this advanced Python course, you'll develop a powerful sentiment analysis web application with Flask and the OpenAI API integration and learn how to take your coding projects to the next level with AI.
Python is an object-oriented programming language that is widely used for tasks like creating websites and software, analyzing and visualizing data, and automating tasks. This versatile coding language is considered to be relatively easy to learn and use compared to other programming languages because it was modeled using the English language. Because of its ease of use, Python has become increasingly popular among non-programmers as well, including professionals like scientists and accountants, because it’s helpful for everyday tasks such as organizing finances. This free language is often the first programming language aspiring programmers study. Large companies like Google, Facebook, Netflix, and Amazon rely on Python because its flexibility lends itself well to creating APIs, machine learning models, web apps, automation scripts, and data processing pipelines. Python’s history goes back over thirty years to its creation by Guido van Rossum and public release in 1991. Its name comes from the BBC comedy sketch, “Monty Python’s Flying Circus.” Python’s vast library and third-party packages have continued to contribute to this language’s draw. Since the 2010s, Python has remained one of the most popular coding languages available.
Python training is a useful skill for many types of professional projects. This language is often used in video game development. The Python library Arcade is used to design 2D video games. The PyGame library is a collection of Python modules that also have applications for writing video games. PyGame is a useful tool for creating multimedia programs and full-feature games. Aspiring Video Game Developers can also use Pyglet, a powerful Python library, to design video games and other visually engaging applications.
Python is also a popular language for web application development. Django, its high-level framework, is used to create rapid web apps with clean designs. Flash, a popular, lightweight Python framework, helps Web Developers quickly begin designing WSGI web applications and scale them up, as necessary, into complex apps.
Within the fields of data analytics and data science, Python has applications for many data-related tasks, including creating machine learning algorithms and executing complex statistical calculations. It also can assist with data analysis and visualization. It provides users with a range of data visualization options such as pie charts, 3D plots, and histograms. Its libraries, like Keras and TensorFlow, can write programs capable of performing fast and efficient data analysis and machine learning.
Python isn’t just reserved for professional tasks. This language also has a range of uses that extend far beyond data. Its automation capabilities assist users in a range of industries, like journalism and social media marketing, to simplify tasks they perform on a regular basis. It can be used to monitor stock market trends or crypto prices, update supermarket shopping lists, or send personal messages so you’ll remember upcoming appointments. It can be used to transform text files into spreadsheets, automatically fill out online forms, and rename large file batches.
While the skills covered in a Python course depend on variables like the educational provider, the course length, and its specific focus, you’ll likely encounter training in several core skills during your studies. The following sections will briefly explore several skills, libraries, or frameworks you can expect to encounter during your Python training such as Python fundamentals, data analysis and visualization, machine learning, and Django, as well as their applications.
Before you can be an expert Python Programmer, you have to start by learning the basics. This is why most Python programs begin with an overview of how to perform tasks like understanding various data types, creating variables, writing core expressions and statements, working with lists, and using functions and methods. Additionally, core concepts like object-oriented programming are also discussed to serve as a framework on which to build Python skills. Once students become familiar with these basics, they can then progress into a closer examination of the specific purposes and uses for different data types, including dictionaries, lists, strings, and tuples. Students may also explore the fundamental components of Python’s lexical syntax and important elements of this language, including object structures, web scraping, APIs, comparison operators, and classes.
During your Python studies, you will likely learn to work with essential data science libraries to analyze and visualize data. Coursework often covers how to clean and filter data, as well as how to pivot and group this information. Students work with core Python libraries such as Matplotlib, NumPy, and Pandas, to perform exploratory data analysis to gain insights. Students will also receive instruction on creating a range of basic and advanced data visualizations, including histograms and bar charts, which are useful for sharing data insights in a manner that’s easy to understand and interpret.
One of the most popular Python frameworks you’re likely to encounter during Python studies is Django. Developers created this high-level framework to handle many of the hassles associated with web development. This free, open-source framework is popular for creating clean and useful designs. One of the main benefits of working with Django is its speed. Developers who work with Django can quickly take applications from their concept stage to completion as they create maintainable and secure websites. The Django framework is complete as well, which means it includes virtually all components Developers may require, all in one place. Django’s versatility also makes it popular among Developers; it can be used to create nearly all types of websites, including news sites, social networks, and content management systems. This framework is also considered extremely secure. It was created to automatically protect websites and help Developers avoid a range of security mistakes. It even offers a secure method for managing passwords and user accounts. Also, Django can run on many platforms since it was written in Python. It is also supported by various web hosting providers, some of which offer specific documentation or infrastructure that can be used to host Django sites.
Those who enroll in Python coursework won’t just learn hard skills like how to use its libraries and frameworks, they’ll also acquire a range of soft skills as well that are essential for pursuing a career like a Python Developer. One core soft skill most programs will impart to students is critical thinking. To succeed as a Python Developer, it’s crucial to be able to tackle complicated problems using an analytical, logical mindset. This means applying problem-solving and critical thinking to break down complex problems into more manageable components and approach each of these components with a mindset of finding possible solutions. Developing problem-solving skills and a critical thinking mindset help Python Developers more effectively face challenges and devise appropriate solutions that aren’t only technically viable, but are also creative.
Just like any other skill, the challenges associated with learning Python depend on factors like your prior programming experience, your method of training, and your ultimate goals for acquiring this skill. Python is largely considered to be one of the easiest programming languages to learn. Because its syntax is based on the English language, it’s easier than other coding languages to start learning. This is why Python remains a popular language for those who are just getting started writing code. While Python basics can be relatively easy to acquire, mastering this language’s more advanced features is a time-intensive process that can require many months or years.
Even though Python’s a relatively easy computer language to learn, there are some challenging components. Some Python learners find it difficult to determine how to apply their Python training. Learning Python programming with no concrete goal can be a much more challenging task for some individuals than learning it with a target in mind. Additionally, since Python was designed to be a language for developers to use to solve problems, learners who approach their studies with a problem-solving mindset may find it easier to acquire Python fluency.
How long it will take you to learn Python depends on the level of expertise you’re hoping to attain. The average time it takes most learners to acquire Python basics is between two and six months. By the end of this window, most individuals can write a short program in just a few minutes. Additionally, if you’re interested in studying Python to perform specific work-related tasks, including how to automate workflow, it will likely be much easier and faster to gain this knowledge than it would be to learn enough Python to prepare for a career in data analytics. Individuals who come from a coding background will likely be able to learn Python at a faster rate than programming novices. Gaining a solid understanding of Python’s many libraries can take months or years. Python has thousands of libraries devoted to a range of tasks, which means learning these libraries will likely be an ongoing task for aspiring Programmers. Since Python continues to evolve as a coding language, new updates and tools are regularly being added. This, too, can complicate learning. Most Python learners will find it more beneficial to explore how and why lines of Python code work rather than trying to memorize syntax.
Once you’ve decided to study Python, the next choice you’ll need to make is whether to attend live coursework in Phoenix or learn through online content. If you’re a learner who thrives in the traditional classroom environment, in-person study is an excellent option. This engaging, interactive training format provides students with small class instruction in a training facility with Python already installed on the computers. Students learn from an expert instructor with industry experience writing Python code. Not only does this environment provide an opportunity for in-the-moment feedback, but students also benefit from connecting with other learners, which can be valuable for networking. It’s important to remember that attending in-person classes in Phoenix requires living near or around the city, where most training centers are located. It also requires having reliable transportation to and from class.
A great alternative to in-person Python classes is live online courses. These classes provide the same learning benefits as in-person training such as real-time access to an expert instructor. Since coursework is taught using a teleconferencing platform, learners don’t have to leave the comfort of their own homes to learn how to write Python code. Live online classes ensure students can ask questions as they arise and receive immediate answers. They can even opt to share their screen (with permission) with the instructor for additional support. Since live online coursework takes place in real-time, learners who opt for this format must still be able to attend regularly scheduled classes, which can pose challenges for those with busy schedules.
The most flexible type of Python training is asynchronous coursework. Unlike in-person and live online classes, asynchronous training is pre-recorded and placed online. It’s up to the student when and where they wish to complete their lessons and to determine their own learning pace. Participants can pause, rewind, or rewatch entire lessons for maximum retention. Since course content like tutorials, YouTube videos, and online quizzes and tests are all pre-recorded, asynchronous Python training tends to be a more affordable way to learn this language than live study. However, those who are interested in learning through self-paced content should remember that since no instructor is present, they must find answers to questions on their own.
If you’re interested in studying Python but don’t want to invest hundreds or thousands of dollars in live training, you can get started learning this open-source programming language via free online Python resources:
Free online Python resources can provide a low-stakes starting point for your programming study. However, if you’re looking to learn this language for current work tasks or to pursue a new career path, live Python training material is often a better learning resource since it provides real-time access to an instructor.
One skill some learners choose to study alongside Python is web development. This in-demand field requires creating and maintaining web applications for online browsers and websites. Since some core web development tools are programming languages like Python, HTML, and CSS, learning web development can help you put your Python programming to use. This language has grown in popularity in the field of web development in recent years, owing to its capability to create robust, scalable web apps. The more knowledge you have about the field of web development, the more useful your Python skills will be in professional roles like a Web Developer.
In Phoenix, Python skills come in handy in many of the city’s top industries, including finance and hospitality. The following sections will take a closer look at the role Python plays in these key sectors.
One of the industries that drives Phoenix’s economy is hospitality. Situated in a gorgeous desert backdrop, the city is home to a range of popular natural attractions, recreational activities, shops, and restaurants. Tourists flock to Phoenix to experience destinations like the Heard Museum, Desert Botanical Gardens, Papago Park, and Camelback Mountain. Within the hospitality sector, Python is a staple for data analysis. It has applications for handling large datasets and can be used to create predictive pricing models pertaining to customer data or inventory.
The greater Phoenix area is considered one of the country’s top markets for locating and expanding finance-related career paths. Those who want to put their Python skills to use in finance can do so by analyzing the big financial data contained in vast datasets. Python remains a widely used tool in the field of quantitative finance. Its libraries, including Pandas, are used to expedite the process of visualizing data and help users perform complicated statistical calculations much faster and easier than they’d be able to with other tools.
If you have Python programming skills and are looking to put them to use in a career in Phoenix, two popular professional options are as a Python Developer and Web Developer. Both career paths, as well as their corresponding job requirements and salary ranges, will be explored below.
Python Developers are hired to perform tasks like data analysis, scripting, back-end web development, software creation, or product development. These professionals create various data analysis processes, automation scripts, or the server-side of a website. In addition to a working knowledge of Python, these professionals must also be well-versed in its frameworks like MongoDB and Falcon, which can expedite their work process. The average yearly salary for a Python Developer in Phoenix is $114,000-$116,000, which is approximately 7% below the national pay rate for this role.
Phoenix-based Web Developers are hired to work with various programming languages to create and deploy products. Some Web Developers focus on front-end, back-end, or full-stack development. On a daily basis, these professionals perform tasks like updating website content to adhere to established standards, creating user interfaces, and designing prototypes from wireframes. Web Developers are usually proficient in several coding languages, including CMS, HTML, and Python. The average pay rate for a Web Developer who works in Phoenix is $74,000-$76,000 a year, which is slightly below the national average.
If you’re interested in learning Python, you can search for Python classes in Phoenix to find the learning option most suited to your needs. Noble Desktop’sPython Developer Certificate is a great option if you’d like to pursue a career as a Python Developer. This program will prepare you to work with Django and Django Rest. In this intensive program, you’ll explore Python skills and concepts like custom functions, dictionaries, object-oriented programming, and sorting algorithms. Graduates of this class leave with several professional portfolio pieces. This program is available in-person in New York City and live online. Tuition includes a free course retake for up to a year and four 1-on-1 mentoring sessions.
Noble Desktop also offers a Python for Data Science Bootcamp. During this hands-on program, you’ll begin by studying Python fundamentals, including how to create variables, write basic statements, use functions and methods, and understand different data types. The second portion of this program covers skills like conditional statements and control flow tools. During the third class component, you’ll have the opportunity to learn about how Pandas and NumPy can be used to import and clean data, as well as how to use data frames and arrays. The last course component prepares you to visualize data through bar charts and histograms. This class is available live online and in-person in NYC. Tuition includes a free course retake and a bonus 1-on-1 mentoring session.
In Certstaffix Training’s Introduction to Python Programming Course, participants receive introductory-level instruction on Python, including how to work with different data types, write functions, format strings, and use mathematical modules. Coursework then progresses introduction topics like enumerations, loops, and list comprehensions. The final portion of this class covers how to use command lines and virtual environments, as well as how to process and execute Python files. This class is taught live online; participants have the choice of whether they wish to study remotely or use the computer lab provided in Phoenix.
Those who are new to Python and want to learn the basics can do so in Interface Technical Training’s Practical Introduction to Python Development. During this comprehensive class, students acquire the basics of working with Python, including how to use control statements, data types, modules and functions, lists, and debugging programs. By course completion, those enrolled will know how to write Python programs for simple apps. This course is taught in-person in Phoenix.
Would your employees benefit from learning Python? If so, Noble Desktop can help. Noble offers corporate and onsite Python training options for learners at all levels. Coursework covers core Python concepts and skills, including using it for automation, data science, or machine learning. Training is also available for using Python in algorithmic trading and finance. You can select from in-person training options in which Noble comes directly to your workplace in Phoenix, as well as live online training sessions. Flexible study options are also available, including sessions on weeknights or weekends, to ensure employees with busy schedules can still learn Python. If you’d like to train multiple employees in Python, Noble also offers bulk course vouchers, which are available for a discount to Noble’s regular classes. To learn more about how Noble can help your employees learn Python, don’t hesitate to contact Noble.