Python Classes Live Online

Python is a general-purpose programming language used for data science, machine learning, website programming, software development, FinTech, and more. According to the TIOBE index, which charts the use and popularity of programming languages, Python is the most popular programming language in the world, as it has been for several years running. One of the reasons for Python’s popularity is the ability to access a diverse set of libraries and frameworks. The career path you choose will determine with libraries and frameworks you’ll encounter, including libraries centered around image manipulation, data visualization, array processing, neural networks, and many others.

Python’s popularity has made it the default programming language in a wide range of professional contexts. Python is built for readability and portability, making it an excellent choice for new programmers looking to pick an accessible, versatile language as their first. In addition, given its massive popularity, there is a huge community of Python developers who regularly program new libraries and frameworks, produce beginner-friendly resources, and build generic code that new users can utilize to become more familiar with Python. If you are interested in learning more about computer programming but aren’t sure where to start, learning Python can be an ideal first step.

What is Python Used For?

Data Science and Analytics

Python is most commonly associated with data science and data analytics tasks because it is an important language for working with databases. Python code allows programmers to easily collect and clean data, organize it in large databases and query that data for future analysis. This makes the language vital to all of the common tasks of professional Data Scientists and Data Analysts. Learning to use Python will help professionals identify trends in data and make informed decisions based on these trends. Data science is quickly becoming the norm in almost every major industry and field, so learning Python can help you find a job in virtually any field. These skills also apply to several important data science sub-specializations that are quickly becoming central to the operations of their respective industries.

Machine Learning

One of the most exciting recent Python developments is the advances that are being seen in machine learning and artificial intelligence technologies. Machine learning is the process of writing complex algorithms that can read and interpret data without the need for a human operator. This allows machines to create the appearance that they are ‘learning’ from this data and make interpretations and predictions based on what they have learned. This technology is currently most commonly used in content recommendation systems, such as the ones that recommend users products on Amazon or shows on Netflix based on prior viewing histories. However, as the technologies surrounding machine learning develop, the potential future applications are among the most exciting aspects of computer science today. Machine learning technology has the potential to revolutionize fields such as diagnostic medicine, investment analysis, government planning, and online content production. Machine learning is a cutting edge aspect of Python development that interested students should consider learning.

FinTech

One field that has been rapidly adapting to the development of new Python applications is the financial industry. Financial Technology (or FinTech) is a growing field of Python development that focuses on the ways in which data science technology can be applied to investment banking, accounting, business analysis and other elements of the financial sector services industry. Increasingly, brokers and consultants are relying on data analysis and artificial intelligence algorithms to interpret huge swaths of data and identify market trends or make predictions based on this data input. This is vital for taking the guesswork out of investing, and while it won’t ensure success, it will help analysts make correct decisions more consistently and generate better long-term ROIs. If you want to work in the financial services industry or you just want to improve your own personal investment strategies, learning Python is a good step to take.

Software Development

While Python is most frequently associated with data science, it is also an important programming language for software and digital application development. Since Python is used to build and query databases, any back end programming project is likely to benefit from a knowledge of it. Python and its major libraries (like Django) are used to develop the APIs and databases that serve as vital infrastructure for web development and software engineering projects. Python isn’t the only major programming language you’ll need to know to build your own software applications, but learning Python for software development is a good way to improve your career opportunities if you plan to work in any of these fields. Python is also frequently used in back end programming projects for game design and development since databases are an important part of the infrastructure of these applications.

Python Career Opportunities

Python programmers are in high demand and offer many career opportunities, including working as Data Scientists, Software Engineers, Product Managers, Python Developers, and more. Some careers like Python Developer, Web Developer, and Full Stack Developer focus on developing apps and websites. You’ll need to know some web basics like HTML, CSS, and JavaScript for those jobs. Other career paths, like Data Scientist and Machine Learning Engineer, require training in math and statistics. You must be familiar with Git for version control and code editors for any coding position. It’s important to understand which path is right for you. 

Students interested in Python’s data science applications may seek work as Data Scientists or Data Analysts. Data Scientists work to create the Python applications that are used to collect, clean, organize and analyze data. They are responsible for building the infrastructure that undergirds the big data industry. Data Scientists need a firm understanding of computer science, Python programming and statistical analysis to work with massive, theoretical datasets. Data Analysts take the applications and theories developed by Data Scientists and apply them to real-world case studies. Data Analysts are hired by firms, organizations, agencies or corporations to look at specific datasets (ranging from customer web traffic to advanced sports analytics) and make recommendations to stakeholders based on their findings. They can find work in various industries (in the public and commercial sectors), as more and more firms and agencies are realizing the benefits they stand to gain from building a robust data analysis team. In the US, Data Scientists earn an average salary of $125,000 annually, while Data Analysts earn an average annual salary of $70,000.

Students who want to apply these skills to FinTech-related careers may want to consider finding work as a Financial Analyst or Investment Analyst. These professionals are tasked with using data science techniques and FinTech tools to analyze market behaviors, and public financial institutions to offer recommendations to employers and clients about how to best spend and invest their money. Financial Analysts are usually hired by firms to manage single large accounts and datasets. They look at a company’s financial records and make recommendations concerning how that company should consider using its financial resources. Investment Analysts use FinTech tools to make informed decisions about long-term investment strategies for organizations, companies, and individual clients. They will use tools to chart the movement of stock and asset markets and determine how to provide their clients with solid ROIs consistently. In the US, Financial Analysts earn about $72,000 annually. Investment Analysts earn about $78,000 annually.

Machine Learning Engineers are rapidly becoming some of the most in-demand employees across various industries. They are responsible for building and teaching the machine learning algorithms that companies, government agencies, and other institutions utilize to better understand the immense amounts of data they engage with every day. Machine learning is a cutting-edge technology that has the potential to revolutionize industries and public services, meaning that companies and institutions are eager to be the first to develop and leverage these algorithms. Machine Learning Engineers will need specialized training and they will need a strong background in statistical analysis and computational mathematics to succeed in the professional world, but they are well compensated for their services. In the US, the average annual salary for a Machine Learning Engineer is $150,000.

Learn more about the careers and salaries you can achieve by learning Python.

Virtual Python Classes from Noble Desktop

Students who want to learn Python and set themselves up for future success may want to consider professional skills training. With live online Python training, you can learn this in-demand programming language from anywhere. You’ll interact with the instructors in real-time and work on a variety of hands-on projects. The cohort style of live online training also helps students to stay engaged and on track to complete the course. These advantages make learning online an ideal way to pick up valuable career skills without having to commute to an in-person training center (if you even live within commuting distance of a training center).

Several schools, including Noble Desktop, the provider of this tool, offer live interactive Python courses to help you meet your goals. Noble offers three flagship certificates taught by experienced professionals that cover Python extensively: Data Science Certificate, Python Developer Certificate, and the FinTech Bootcamp. It also offers shorter courses to get you started, including the Python for Data Science Bootcamp. All Noble classes include a free retake and a guarantee that you’ll learn the skills covered in the syllabus, subject to terms and conditions.

In Noble Desktop’s Data Science Certificate program, students will learn how Python is utilized in data science and analytics projects. This course aims to teach students how to use Python to wrangle, organize, store, and query data. In addition to basic Python fundamentals, students will learn to use important Python libraries and frameworks, including NumPy, Pandas and Matplotlib. This course also introduces students to the foundations of machine learning algorithms. By the end of this immersive, career-focused program, students will be prepared to start working as Data Scientists or Data Analysts.

Students seeking more focused instruction may consider enrolling in Noble’s FinTech Bootcamp. This course focuses on using Python and data analysis in the financial sector, emphasizing business analysis and investment management. Students enrolled in this course will learn the fundamentals of using Python for data science projects, automated data collection and collation, and machine learning engineering. Students will also work on specific case studies that teach them how these skills can be applied to financial and investment concerns, and the course will teach students how to model financial data and apply their Python skills to investment analysis. This is an ideal course for students looking to become professional FinTech experts or who are looking to manage their own financial and investment portfolios better.

On the other hand, courses geared towards web and app development, like Noble Desktop’s Python Developer Certificate, cover Django, a robust web framework. Before learning any of these libraries, you’ll have to learn Python programming basics, including syntax, commands, code debugging, and other generally accepted Python best practices. If you’re passionate about software engineering, see the best live online coding bootcamps. Just note that most coding bootcamps focus on various programming languages, and many focus primarily on JavaScript.

These courses are taught by expert instructors who are prepared to help guide students through learning Python. Students can ask questions and receive personalized feedback and assistance in real time, making it far easier to learn Python than if they were attempting to teach themselves the language. Students enrolled in Noble’s career-focused certificate programs will also be able to take advantage of several professional development opportunities. Since these classes aim to help students find new jobs upon graduating, Noble provides students with portfolio-building seminars and one-on-one career mentorship seminars to help them in the job search process.

Other Virtual Python Classes

Other schools, including NYIM Training, Practical Programming, NYC Career Centers, BrainStation, and NYC Data Science Academy, offer multiple courses and bootcamps. Much like Noble Desktop, these schools offer in-person and online courses and are taught by industry experts. These other schools also offer short subject-specific courses and longer-form bootcamps to best meet the needs of students.

Since Python is so versatile, you’ll want to be sure to choose a course that meets your goals, whether you’re aiming to change careers or learn the basics for your current job. So when choosing a live online Python course, you’ll want to focus on the subject and the course duration. Data science, FinTech, Python development, and machine learning courses may have some degree of overlap between them, but they will focus on distinct elements of Python as a programming language. Thus, if you are interested in machine learning, you can’t easily enroll in a Python software engineering course and get the same result.

Students will also want to consider their own programming background and level of engagement with computer science before enrolling in a program. Some courses are designed with novice programmers in mind, while others expect students to have a solid grasp of advanced computer science concepts. This is especially true of a programming language like Python, which is both a beginner-friendly language for first-time programmers and a robust language that experts can tailor to their specific needs.

If you’re committed to learning Python, check out the best live online Python bootcamps. These programs are longer, cover python in greater depth, and are suited for individuals looking to launch or transition their careers. Most will offer students lessons on the basics of programming with Python.

The New York Data Science Academy offers live online Python training courses for students to consider. These courses include their flagship Data Science Bootcamp, which aims to teach students the practical Python skills they will need to find work as Data Scientists or Data Analysts. This class focuses on real-world case studies in the business applications of data analytics, and machine learning, and students enrolled in this course will complete a capstone project that they can use to demonstrate their proficiency in Python.

Brainstation offers a Python Course that aims to provide students with an introduction to the programming language. This beginner-friendly course is a solid place to build a foundation in Python, and lessons cover the basic syntax of the language, the structures of Python databases and the program’s application in data analytics projects. Students will learn the basics of Python programming, and receive instruction on the myriad of different ways they can develop their Python skills with additional professional instruction.

WeCloud Data offers full- and part-time Data Science and Big Data Bootcamps for students learning Python data science skills remotely. This course will teach students how to use Python, SQL, Amazon Web Services, and other online data-gathering tools to build complex and productive databases to query and analyze. Then, students will learn how to use Python applications to draw practical insights from these data sets and how to apply their training to machine learning projects. This course aims to prepare students for entry into the job market and has six months of career mentorship sessions.

Flatiron School offers a Data Science Bootcamp that aims to prepare students of all skill levels for careers in data science. This course covers using Python for wrangling data and querying it from databases and teaches students the foundations of Python data analytics. The course emphasizes machine learning algorithms in its curriculum, and students will learn the basics of building, training, and testing complex AI systems. The program concludes with a practical capstone project that students can use to complement their job materials.

Constructor Learning teaches a remote instruction Applied Machine Learning course for students looking to learn the practical applications of machine learning algorithms. In this class, students will program machine learning algorithms designed to address real-world business problems and spend time quality-testing those algorithms to ensure that they read and interpret data properly. Students will also learn how to identify bias in a machine learning algorithm to ensure the system's output is reliable.

General Assembly offers a flexible, beginner-friendly Python Course for students looking to learn database fundamentals. In this class, students will learn Python programming basics and the fundamentals of database design and maintenance. This course aims to give students a practical introduction to Python programming and data analytics practices. Students will receive hands-on training in real-world case studies, and this course will set students up for success in further, more specialized Python training courses.

Students looking to learn the basic skills needed to become comfortable with Python may consider a course such as ONLC Training Center’s Python Programming Level 1: Introduction for Non-Programmers Course Outline. This course is designed with novice programmers in mind and will provide students with step-by-step guidance on building their first basic Python application. This course serves as a general introduction to computer programming and provides students with foundational Python training.

Since Python is such a robust and versatile programming language, each class will cover different elements of the language. Python for data science courses focuses on data analytics, regression, machine learning, statistics, predictive analysis, and more. These courses teach libraries, including NumPy, Pandas, Matplotlib, Sci-Kit, and more. If data science is your passion, check out the best live online data science classes.

Remote Python Corporate Training

Regardless of industry, Python is a helpful skill for the employees of almost any business. Whether you are looking to better maintain your company's databases or you want to train your employees in advanced data analytics techniques, Python’s versatility can help improve your business. Virtual Python training is available from Noble Desktop for companies looking to train their employees. You can send participants to regularly scheduled group classes held virtually or schedule a private session for your team. All of Noble’s Python training programs are available, and we are more than happy to work with you to structure a custom course to fit your needs. Noble also offers group discounts on registration in all its open enrollment courses for businesses looking to provide their employees with the chance to learn Python at their own pace. For more information about corporate training, please email Noble Desktop at hello@nobledesktop.com.