Develop Python programming fundamentals for automation, data science, and web development careers.
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 a popular high-level programming language. It is a server-side language, which means that it runs on the server. It is also an open-source language, which means that it is not owned by anyone. Python is widely considered to be a versatile and relatively easy-to-use programming language and is used for many different tasks including website and software development, data analysis and visualization, and task automation.
This language was developed by programmer Guido Van Rossum, and first released in 1991. It was modeled on the English language, and for this reason, people often find it easier to read and write than many other programming languages. The Python Institute is a nonprofit group that works to promote the Python language. It notes that while a large number of people have been involved in developing Python since 1991, Van Rossum alone can be credited with the initial idea, which is unusual in the world of programming languages. It says, “One of the amazing features of Python is the fact that it is actually one person’s work. Usually, new programming languages are developed and published by large companies employing lots of professionals, and due to copyright rules, it is hard to name any of the people involved in the project. Python is an exception.”
Today, Python is used all over the world, and in many different industries. The TIOBE Index tracks the popularity of various programming languages, and in 2024 it reported that Python was the most popular programming language in the world. In a 2023 blog post, GitHub writer Rizel Scarlett insists, “Python is everywhere—and it’s been used to build a significant number of the technologies, websites, and even systems most people encounter on a daily basis. It powers everything from your favorite video streaming service to the ML algorithms that can help you make your next cryptocurrency trade.”
When you learn Python, you’ll be gaining an in-demand skill that is needed in many different industries and is predicted to continue to be highly sought after in the future. This means that Python training is likely to give you a high level of job security. In 2024, U.S. News and World Report published a list of 20 careers with the most job security right now, and that list includes several careers that involve using Python such as Web Developer, Database Administrator, Information Security Analyst, and Software Developer.
Python is often used for programming and web development. Its versatility and ease of use make it a popular choice for these tasks. In addition, it has many different frameworks—including Pyramid, Django, and Flask—which can be used to create a variety of sites and services. It is also supported by many libraries, which make things like content management easy. Spotify, Netflix, and Dropbox were all built using Python.
Python is also a popular tool for machine learning and data science tasks. A big reason for its popularity in these areas is that it is flexible and easy to learn and use, making it very accessible. It is also well supported, with a wide range of different libraries and tools. For instance, it has many different AI and machine learning libraries and packages.
Every Python class is different. For instance, there are classes that you can complete in only a few days, and there are others that take weeks to finish. Some cover general Python skills, while others are focused on specific uses like data analysis or web development. However, no matter what Python class you take, there are several fundamental skills and principles that are likely to be covered. These include the Python language, frameworks and libraries, algorithms and data structures, best practices, and problem-solving.
When you take a Python class, you’ll learn to use the Python language. This includes learning its basic syntax, which is the way that words and phrases are arranged. Python is more similar to the English language than some other programming languages, and many people say that this makes it relatively easy to learn its syntax. In addition to Python syntax, you’ll learn about variable expressions, data types, conditionals, functions, and loops. You’ll also learn how to find and fix errors in your code, which is an essential part of working with Python.
Python has many different libraries and frameworks, and most classes cover some of these. A library is a collection of prewritten code that can be used for a variety of different tasks. When you use a library, you don’t need to write all of your code from scratch, which means that you can work more quickly. Frameworks also help speed up the work process. They are collections of prewritten code that can be used to create an entire application. Some popular Python libraries and frameworks include Pandas, Matplotlib, NumPy, Pyramid, Flask, and Django.
When you work with Python, you’ll need to understand how to use algorithms and data structures. An algorithm is a detailed set of instructions that is used to solve a specific type of problem. You can use it to process and manipulate data. A data structure is like a container that is used to organize and store data in a specific way. Different types of data structures are designed for different types of tasks.
Best practices are also an important part of learning Python. By utilizing best practices, you can create good quality code that is easy to read and maintain. Python best practices include writing in the simplest way possible, testing your code regularly, and keeping your code organized. By following these practices, you’ll be able to write code that is high-quality, readable, secure, and consistent.
Problem-solving is also an important part of learning any programming language, including Python. The process of programming involves constant problem-solving. For instance, you will often find yourself writing code with the goal of solving a specific problem. You’ll have to figure out what that specific problem is, and then decide on the best way to solve it. In addition, you’ll need to test and debug your solution, which is likely to uncover new problems—such as errors in your code, or code that doesn’t work as intended—which will also have to be solved.
Compared to other programming languages, Python has a relatively simple syntax, and as a result, many people say that it is relatively easy to learn. Some people suggest it as an ideal early language choice for people who are new to the field of programming. On its website, the Python Institute explains some of the things that make Python easy to learn. It says, “It is easy to learn – the time needed to learn Python is shorter than for many other languages; this means that it’s possible to start the actual programming faster; It is easy to use for writing new software – it’s often possible to write code faster when using Python; It is easy to obtain, install and deploy – Python is free, open and multiplatform; not all languages can boast that.” Despite the fact that Python may be easier to learn than many other languages, you’ll still need to spend a lot of time practicing to master it. Experts suggest starting with small projects, and gradually working your way up to more complex projects after you master the basics.
One of the most challenging parts of learning Python—or any programming language—is debugging. This is the process of finding and correcting errors in your code. No matter how carefully you work, you’re likely to make errors. Errors are easy to make; even a tiny error can cause effects that you didn’t intend, and don’t want. However, while errors are easy to make, catching them can be a lot more challenging, especially when you’re still learning about Python, and many beginning programmers end up frustrated. Learning to debug your code is an important part of the learning process though. The more time and practice you devote to practicing this skill, the easier it is likely to become.
The length of time it takes to learn Python varies from person to person and depends on many different factors. Most people say that you can pick up some Python skills in a few weeks and can become fairly comfortable using Python in about three to six months. If you want to master this language, however, it can take a year or more. If you already have experience with other programming languages, you’re likely to learn more quickly. Problem-solving skills, attention to detail, and the ability to memorize are also helpful. You’re also likely to learn more quickly if you spend a lot of time practicing your skills. Another factor that can speed up the learning process is investing in a paid course where you’ll receive instruction, feedback, and tips from an experienced professional.
If you want to learn Python, you can choose to do so either in-person or online. Each format has its own advantages and disadvantages, and the choice about which one to go with depends on many different factors including where you live, how much flexibility you have in your schedule, and how you learn best. In-person instruction is a traditional learning format, where students and an instructor meet together in a classroom at a set time. With this format, instruction is face-to-face and students can ask questions and get immediate feedback. They can also interact and network with one another. Many students say that they find this to be the most engaging way to learn something new, and instructors often say that they find it easier to assess progress and provide feedback in an in-person setting. A downside of in-person learning is that you have to travel to a classroom, which can be expensive and inconvenient. With this format, you are also limited to classes that are in your geographic area. If you don’t live in a large city, you might have a limited number of options available to you.
A popular alternative to in-person instruction is live online learning. With this type of instruction, students attend by logging into an online classroom via computer. Instruction takes place in real-time, just as with in-person learning, and students are able to ask questions and get feedback. While learning is online, in most cases, there are still opportunities to interact and network with other students too. Some students actually feel more comfortable learning this way rather than in a classroom with a lot of other people. An advantage of live online classes is that since you can attend from any location, you’re not limited to classes in your geographic area. Not only do you get a wider range of class options, but you may also get the opportunity to interact with a more diverse group of students. A downside is that you’ll usually need to supply your own equipment and software, and you may have to deal with technical difficulties. In addition, while this format is more flexible than in-person learning, you still need to attend class at a set time.
If you need even more flexibility, you may be interested in a third learning option; the on-demand class. On-demand courses are pre-recorded. They do not have a live instructor; instead, students work through the course material at their own pace, stopping and starting whenever they need to. Some students love that this gives them the ability to pause, rewind, or fast-forward at any time. While on-demand learning doesn’t take place in a live classroom, on-demand classes typically do include instructor feedback. In addition, many courses include opportunities to interact with other students. On-demand courses are often cheaper than live ones, since there is no live instructor. A downside to this type of learning is that since you’re directing the pace of your learning, you need to have self-discipline and focus or you might get behind.
If you’re interested in learning Python and you’ve started doing some research about how to get started, you’ve probably noticed that there are many free online Python resources, and you may be wondering whether it's possible to learn this language online for free. Free online resources definitely have value. For instance, if you want to get a general understanding of what Python is, learn a specific Python skill, or troubleshoot a problem, free resources can be a good option. Noble Desktop has several free Python resources. However, if you’re serious about learning Python, you’ll quickly discover that most free resources are not comprehensive enough to help you master this programming language. Instead, it's usually better to invest in a paid Python class. A paid class has numerous benefits. You’ll receive instruction from an expert, who will also be available to answer your questions and give you feedback on your progress. In addition, with a paid class, you can be confident that you’re receiving accurate and up-to-date information. Finally, paid classes often come with a certificate that you can use to provide evidence of your skills, and in many cases, you’ll also work on a portfolio, which is another way to show others what you can do.
Python is only one of hundreds of different programming languages. Learning additional languages can be a valuable complementary skill. Which languages to choose will depend on how you plan to use Python. For instance, if you want to work in web development, HTML, CSS, and JavaScript are likely to be useful since they are fundamental programming languages that are used for most websites. If you’re planning to pursue data analysis, you might want to consider SQL and R, which are very popular tools in this field.
Soft skills are also a useful complementary skill. Soft skills include things like teamwork, communication, adaptability, listening, and public speaking. In a 2023 article titled, “11 Important Soft Skills For Software Developers To Improve, ” Indeed explains, “These skills are equally important as technical abilities such as writing code and creating user interfaces. Soft skills complement technical skills by allowing one to identify the needs of team members and organise ideas for developing programmes.” Improving your soft skills can help you be more effective at work and can also help you maintain better relationships with your co-workers.
Python is a versatile language that is utilized in many different industries. On its website, the Python Institute says, “Programming skills prepare you for careers in almost any industry, and are required if you want to continue to more advanced and higher-paying software development and engineering roles.” It concludes, “Python is the programming language that opens more doors than any other. With a solid knowledge of Python, you can work in a multitude of jobs and a multitude of industries. And the more you understand Python, the more you can do in the 21st Century.” Some of the most common industries where Python is used are data science, web development, finance, artificial intelligence, security, research, and education.
As one of the most popular programming languages in the world, Python is important to the tech industry. For instance, it is commonly used in web development and in the booming field of artificial intelligence. On its website, Select Greater Philadelphia reports that Philadelphia’s strong support for innovation and its excellent quality of life draw many notable tech companies. It says, “The technology sector is booming in Greater Philadelphia. Every key technological innovation of the 21st century – robotics, ecommerce, artificial intelligence, advanced logistics, digital health, FinTech, telecommunications, you name it – can be found in our 11-county region.”
Python is often used for cybersecurity. It is valued for its simplicity and flexibility, and is often used for testing, analysis, and automation. Another benefit of Python for security is its cross-platform compatibility, meaning that when Python is used, programs can run on a variety of different operating systems. According to the website of the Pennsylvania Department of Community and Economic Development, Philadelphia’s top industries are advanced manufacturing, food processing and manufacturing, energy production and transition, life sciences and medical technology, distribution and logistics, plastics and chemicals, robotics and AI, aerospace and defense, and semiconductors. All of these industries have a need for cybersecurity.
Python is also a popular tool in finance, where it is used to analyze and visualize financial data. Using technology to analyze data has become an important part of finance. In fact, the term “FinTech” is a relatively new term that was coined to describe the use of technology in finance. According to Select Greater Philadelphia, financial services are one of Philadelphia’s key industries. It says, “Located at the heart of one of the most vital regions in the nation’s economy, Greater Philadelphia’s financial services industry has deep roots and far-reaching ambitions. Our region is the home base of world-class financial services companies like Colonial Penn, Delaware Funds by Macquarie, FS Investments, Lincoln Financial, Radian, SEI, and Vanguard.”
Python is also widely used in robotics and AI. The Pennsylvania Department of Community and Economic Development lists the city’s top industries on its website, and the field of robotics and AI is included on its list. It explains, “Across the globe, major players in the technology sector view Robotics and AI as synonymous with Pennsylvania. Our world-class R&D institutions like Carnegie Mellon University – combined with an environment rich in venture capital and private equity opportunities, a robust entrepreneurial ecosystem, an affordable cost of living, and a vibrant culture – make Pennsylvania the best choice for new or existing robotics and AI companies.”
A Data Scientist gathers data and analyzes it, with the purpose of discovering a variety of different insights. In addition, Data Scientists create new models to use for data analysis. They work in many different industries. Most Data Scientists have math, programming, and communication skills. The average salary for this profession is $120,000 to $124,000 per year. A Data Analyst, who typically has less education and experience, also uses Python and has an annual salary of about $75,000 to $77,000.
The Bureau of Labor Statistics (the BLS), is a federal agency that analyzes U.S. labor market data and makes predictions about the future. Between 2022 and 2032, it forecasts 35 percent growth for data science jobs. This is far higher than the average of only 3 percent. The agency explains that the reason for this considerable growth rate is that there is a continually-increasing amount of data and a need for people who know how to analyze it. It says, “Employment growth for data scientists is expected to stem from an increased demand for data-driven decisions. The volume of data available and the potential uses for that data will increase over the projections decade. As a result, organizations will likely need more data scientists to mine and analyze the large amounts of information and data collected.”
The job of a Web Developer is to create and maintain websites. Within this field, there are many different ways to specialize. A Front-end Developer is a person who specializes in developing the front-end of a site, which is the part that users see and interact with. A Back-end Developer develops the back-end. While users don’t see the back-end, it is an essential part of the operation of a website. Some people become Full Stack Developers, who know how to develop both the front-end and back-end of a website. Another specialization is that of Python Developer, which is a developer who focuses on using Python. A Web Developer earns $79,000 to $83,000 per year, a Front-end Developer $83,000 to $113,000, and a Back-end Developer $98,000 to $157,000. For a Full Stack Developer, the average annual salary is $95,000 to $124,000, and for a Python Developer it is $100,000 to $124,000.
The BLS predicts 16 percent job growth for Web Developers over the next ten years, which is also much higher than average. It says that some of this growth will be due to the expansion of ecommerce. In addition, it predicts that the demand for Web Developers will continue to grow because they will be needed to provide products for mobile devices. It explains, “The continued use of mobile devices to search the web is expected to generate demand for web developers and digital designers to create websites and interfaces that work on mobile devices with many different screen sizes.” Philadelphia is one of the top-paying metropolitan areas in the United States for Web Developers, according to the BLS.
Software Engineers use Python and other coding languages to design, build, test, and maintain operating systems, games, and other types of applications and software. They have an average salary of $105,000 to $115,000 yearly. Mobile Developers specialize in creating software for mobile devices. The average salary for this job is $97,000 to $126,000.
Like other Python-related jobs, this career is experiencing strong growth and is expected to continue that growth in the future. According to the BLS, between 2022 and 2032, software development jobs are likely to grow by 25 percent. The agency says, “Increased demand for software developers, software quality assurance analysts, and testers will stem from the continued expansion of software development for artificial intelligence (AI), Internet of Things (IoT), robotics, and other automation applications.”
The job of a Machine Learning Engineer includes elements of both programming and data science. It involves creating programs that allow computers to perform actions without being specifically told to do so. Most Machine Learning Engineers have strong math, programming, and data science skills. They generally earn a relatively high salary, earning an average of $128,000 to $165,000 per year.
In the World Economic Forum’s 2023 Future of Jobs Report, AI and Machine Learning Specialists are predicted to see very high job growth in the future. This job is at the top of the list of fast-growing jobs. The report says, “Demand for AI and Machine Learning Specialists is expected to grow by 40%, or 1 million jobs, as the usage of AI and machine learning drives continued industry transformation.”
If you’re based in Philadelphia, you’ll find many different Python class options. The University of Pennsylvania offers an online class called Introduction to Programming with Python and Java Specialization. This course is designed for beginners and it takes multiple weeks to complete. After completing it, students will be able to write fully functional programs in both Python and Java. There are four classes: Introduction to Python Programming, Data Analysis Using Python, Introduction to Java and Object-Oriented Programming, and Inheritance and Data Structures in Java.
Penn Bootcamps offers a Data Science Boot Camp, which includes Python. This is a part-time online program and covers a wide range of in-demand data science skills. Students learn Excel, statistics, Python programming, and how to work with databases. They also learn front-end web visualization, and how to use Tableau. In addition, this course covers numerous advanced topics including data ethics, big data analytics Hadoop, machine learning, and deep learning.
It also offers an Artificial Intelligence Bootcamp, which features a market-driven curriculum focused on AI. In this course, students work on real-world projects and learn skills that can be used in many different industries. They will learn about programming for artificial intelligence, which includes Python. In addition, they will learn about machine learning optimization, making predictions with data, and AI ethics. Instructors will also cover deep learning and natural language processing, in addition to a variety of emerging topics like generative AI and applications outside the computer.
Noble Desktop, which is based in New York City, but also offers live online classes, runs several different Python classes. The Python Developer Certificate is a multi-week program that will prepare you to work as a Back-end Developer, Software Developer, or Python Developer. You’ll learn to use Django, Django REST, Git, and SQL. You’ll also learn about dictionaries, custom functions, sorting algorithms, and working with APIs. In addition, you’ll work on projects for a portfolio. You’ll also get four one-on-one mentoring sessions. In order to take the class, you should be able to code with HTML and basic CSS. Noble Desktop is licensed by the New York State Department of Education. Its classes come with the option of a free retake within one year.
Another Noble Desktop option is the Python for Data Science Bootcamp. This is a multi-day class and is intended to teach you the fundamentals of Python programming and data analysis. In this class, you’ll learn both basic and advanced Python skills. In addition, you’ll learn to structure programs and work with arrays and data frames. This includes using NumPy and Pandas. You’ll also learn many other Python-related skills including analyzing and filtering data, and using data science libraries like Pandas, NumPy, and Matplotlib. A one-on-one training session is also included. This program will prepare you for a machine learning class.
If you’re looking for a more broad education, Noble also offers a Software Engineering Certificate. This is a comprehensive, multi-week course, and is intended for students interested in becoming a Full Stack Developer or a Software Engineer. You’ll learn front-end development, React Development, and Django (Python) Development. You’ll also learn many different front-end tools including HTML, CSS, and JavaScript. In addition, you’ll learn how to use Flexbox and Grid for layout and adapting to different screen sizes, and Git for version control. The course also covers JavaScript, including data types, loops, and variables, and you’ll learn about the JavaScript library, React. As part of the course, you’ll create a working desktop application with React and deploy it using AWS. In addition, you’ll learn about Python, including sorting algorithms, syntax, custom functions, and dictionaries. You’ll also learn to use Django and Django Rest. The course includes twelve one-on-one mentoring sessions. You’ll also create a portfolio that you can use to demonstrate your skills to prospective clients and employers.
General Assembly offers a Data Science Bootcamp that includes instruction in Python. This class is intended for students who are interested in pursuing, or transitioning to, a career in data science. It covers data analysis, statistical modeling, machine learning models, data visualization, and decision trees. Students also learn about natural language processing, and neural networks, and they learn to use Python. Throughout the course, students get personalized feedback and support, including career support.
Practical Programming, a New York City-based school offers an online Python class called Python Machine Learning. This is designed for students interested in software development and data science. Students learn about linear and logistic regression. They also learn about algorithms, including random forest and decision trees. The course also covers bias, overfitting, variance, measuring model accuracy, and choosing effective algorithms and features. Students who want to take this course should be comfortable with Python and its data science libraries. Upon completion, students receive a certificate. This school also offers a free course retake within one year.
The Introduction to Python Programming Course is offered by Certstaffix Training. The course gives students an overview of Python and where it fits in the world of programming language. It covers strings, functions, iterables, comments, modules, comments, and flow control. Students also learn about virtual environments, collecting user input, and exception handling. Students can choose to combine this course with the Advanced Python Programming course and will receive a discount. The course comes with a certificate and the option of a free retake within six months. Certstaffix Training is a computer and business skills training school that was founded in 2008.
Python Data Analysis is a hands-on multi-week course that is offered by the Borough of Manhattan Community College. In this class, students learn how to use Python to gain insights from data. They will learn how to consolidate data, find patterns, and communicate their findings, and they will work with Python’s data analysis libraries, including pandas, NumPy, and Matplotlib. In addition, they will use Python to manipulate, prepare, and visualize data, and to predict future trends.
eCornell is another school that offers Python training. Its Python Programming certificate is an on-demand online course designed for students who want to become proficient Python Programmers and Software Developers. There are a total of six classes to complete: Python Fundamentals, User-Defined Functions in Python, Developing a Currency Converter, Controlling Program Flow, Mastering Data Structures, and Auditing Data Sets. Students learn the core principles of Python, and they design, code, test, visualize, analyze, and debug Python functions and programs.
Python is a valuable skill in many different industries. If you’re interested in training a group of employees in this programming language, Noble Desktop offers several different corporate Python training programs. It offers both onsite and live online options, and you can either choose from its many existing courses, or you can customize a training program to suit your specific needs. Classes are taught by individuals with both teaching and industry experience, and there are a variety of flexible scheduling options including weekdays, weeknights, and weekends. Your employees will also be provided with support materials to access after the training has ended such as handouts and training videos.
If you feel like your employees would like more flexibility, you can choose to buy vouchers for Noble Desktop’s regular group classes, and let each employee enroll individually. With this option, you’ll be able to choose which classes they are able to sign up for, and you’ll get a discount with bulk voucher purchases. To receive more information about corporate Python training options, or to schedule a free consultation, email Noble Desktop.