Learn Python through interactive exercises in coding, automation, and data analysis. Classes emphasize practical projects that prepare you for real-world applications.
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.
First released in 1991, Python is one of the world’s most popular programming languages. It was created by programmer Guido van Rossum and named after the BBC comedy show Monty Python’s Flying Circus. Versatile, easy to use, and free, it is used for a variety of tasks including automation, software and web development, and data science. Its large and active community continually adds to its libraries and offers support to fellow users. Python is maintained by the Python Software Foundation.
Python training can help you gain access to many different job opportunities since fluency in this versatile language is a sought-after skill in many different fields. According to the TIOBE Index, which tracks the popularity of programming languages, Python is the most popular programming language in the world. It is widely used in web and software development, for back-end development, API development, handling data, automation, testing, and other tasks. Developers like its cross-platform independence, and frequently utilize its extensive collection of libraries and frameworks. Python is also popular for data analysis, where it is used for data manipulation, analysis, and visualization, and for developing machine learning models. Another common use of this language is in finance, where its uses include automating financial processes and analyzing financial data.
Every Python class is different, but most classes cover some of the same fundamental skills including programming fundamentals, best practices, working with data structures and libraries, and problem-solving skills.
The first thing that you’ll learn in a Python class is programming fundamentals. An example of a fundamental Python concept is functions, which are blocks of code that perform specific tasks. Data types are another fundamental and are categorizations for data items.
For Python code that is clean, consistent, reusable, and maintainable, you should use best practices throughout your coding process. For example, there are numerous Python style conventions and naming conventions that can help keep your code consistent and easy to understand. In addition, you should also document your code, keep it organized, and test it regularly.
Data structures are a way to store and organize data, and they are covered in most Python classes. Programmers can use data structures to help them access data more efficiently. Some data structures that you might learn about are sets, strings, and lists.
A Python class will cover Python libraries, which are collections of pre-written code that can help programmers work more quickly and efficiently. Popular Python libraries include NumPy, Pandas, and Flask.
As you learn Python, you’ll find that your problem-solving skills are improving. Python—and any type of coding—involves constant problem-solving, and when you take a class, you’ll learn how to become better at it. For example, you’ll learn how to break a problem down into smaller, more manageable elements. As you code, you’ll practice finding different ways to achieve the same results.
Python has a relatively simple syntax, and many people say that it is one of the easiest programming languages to learn. For instance, according to the Python Institute, “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.” In addition, this language has a large and active community that provides many different resources that new users can draw on. Like any new language, learning Python will require time and practice, however, almost anyone can master this language.
One challenging aspect of learning Python is mastering the concept of object-oriented programming. This is a type of programming that uses objects and classes rather than only logic and functions, and it can be challenging because of its abstract nature. If you’re worried about the difficulty of mastering this skill, experts suggest taking a live class where you can get guidance and feedback from an expert.
Your Python learning journey will depend on several factors including your existing knowledge, personal learning style, and how long you devote to practice. However, most people find that they can gain basic Python skills within a few weeks, and start using this language with relative ease within about six months. Mastering Python at a professional level may take a year or more.
You could choose to learn Python by enrolling in an in-person class or you could learn by taking an online course. Each of these formats has advantages and disadvantages and the choice about which is best will depend on many factors including your unique needs and preferences. In-person classes take place in a dedicated classroom space, so they often have fewer distractions. Many people say that this format is the most engaging, and some instructors say that with an in-person class, it’s easier to see when students need additional help. However, to learn in-person you’ll need to commute to the classroom, which can be difficult, and it also limits you to class options that are located nearby.
If you’re looking for more flexibility, online learning can be a better option. With this format, you learn by logging in on your computer; all you need is an internet connection. One popular type of online learning is a live online class. Live online classes take place in real-time, with a live instructor, just like with an in-person class. Students are able to ask questions, get feedback, and interact with their classmates. A downside is that you’ll have to provide your own equipment and software. Another common online learning option is an on-demand class, which is asynchronous, with no live instructor. With on-demand learning, the material is pre-recorded and each student works through it at their own pace. In most cases, this type of class is cheaper. The biggest downside is the lack of a live instructor. Some people also find that with on-demand learning, it can be more difficult to stay engaged and motivated.
You can learn some things about Python for free online. For instance, you can get an overview of what this language is, and what it’s used for. One place to find some of this information is the Noble Desktop website. This school provides several free seminars for prospective students, including Intro to Python Fundamentals and Exchanging Excel for Python. If you’re serious about mastering this language, however, free resources will probably not be comprehensive enough. Instead, you’ll likely end up taking a live class where you can be guided through all the skills that you need to master, work on a variety of projects, and get feedback on your progress. In addition, some Python classes include career support such as help with your portfolio, and resume and job interview advice.
Finance, technology, and artificial intelligence are some of the industries that you’re most likely to find Python used in. According to the Baltimore County Government website, tech and financial services are both top industries in Baltimore, meaning that you’re likely to see many Python-related employment opportunities in this area. The county reports, “The Financial Services industry is the third largest of the nine high-growth industries and accounts for six percent of all jobs in the County.” It finds that financial services account for more than 70,000 jobs regionally. For IT services, it reports, “The Information Technology industry is the fastest growing of Baltimore County’s nine priority industries, with overall employment… projected to increase by 19 percent through 2024.” IT services account for more than 15,000 jobs.
A Data Scientist collects and analyzes data with the goal of solving a variety of different problems and providing businesses with actionable insights. Data Scientists usually have a high level of education. In addition to analyzing data, they also create new models and algorithms to analyze it. According to the U.S. Bureau of Labor Statistics (the BLS), a federal agency that collects and analyzes U.S. labor market information, over the next ten years data science jobs will grow by 36 percent, which is far quicker than the average U.S. job growth rate of 4 percent. It says, “Employment growth for data scientists is expected to stem from an increased demand for data-driven decisions…. Data scientists’ analysis will help organizations to make informed decisions and improve their business processes, to design and develop new products, and to better market their products.” According to Indeed, the average salary for a Baltimore Data Scientist is $110,000.
A Web Developer creates and maintains websites. Most Web Developers are fluent in Python, in addition to several other programming languages. Web Developers also need to be good at communication and problem-solving. The BLS finds that over the next decade, web development and digital design jobs are likely to grow by 8 percent. It states, “Employment of web developers and digital designers is projected to grow as ecommerce continues to expand.” It also finds that the widespread use of mobile devices is driving demand for Web Developers, explaining, “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.” Indeed reports that in Baltimore, the average salary for a Web Developer is $68,000 yearly.
A Software Engineer builds and maintains software applications. Software Engineers are skilled in coding, debugging, documenting, and testing software. They also maintain software. The BLS predicts that software development jobs will grow rapidly over the next ten years, at a rate of 17 percent. It says, “Software developers, software quality assurance analysts, and testers are likely to see new opportunities because of the increasing number of products that use software. For example, software systems continue to be built for consumer electronics and other products, including IoT-connected devices and electric vehicles.” The agency reports that Maryland is a top-paying state for Software Developers. According to Indeed, the average annual salary for a Software Engineer in Baltimore is $95,000.
A Machine Learning Engineer creates machine learning models, which are models that allow computers to function without human assistance. Machine Learning Engineers work with data, artificial intelligence, and algorithms, building and training models. They typically have strong math, data science, and programming skills in addition to problem-solving and communication abilities. Indeed reports that the average annual salary for a Machine Learning Engineer in Baltimore is $113,000.
The Community College of Baltimore County offers a Python Developer certificate program. This is an online course that covers introductory through advanced Python skills and is designed to prepare students for an entry-level Python programming job. This school also offers a shorter introductory course called Introduction to Python Programming.
Certstaffix Training also runs Python training classes in Baltimore. This school was founded in 2008 and provides a variety of business and computer skills training classes across the United States. Introduction to Python Programming is a multi-day course that covers several basic concepts including functions and modules, strings, iterables, and flow control. There is also an Advanced Python Programming Course, which covers more advanced concepts such as working with data, and testing and debugging.
You can also learn Python by taking a class with Noble Desktop. Noble is a coding and design school that offers in-person classes at its New York City facility, and also in a live online format. This school is licensed by the New York State Department of Education, and when you take one of its classes, you’ll get a certificate of completion and the option of a free retake within one year. One of its most popular Python classes is the Python Developer Certificate, which is a multi-week program that will prepare you to work as a Back-end Developer, Software Developer, or Python Developer. In this class, 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. The class comes with four one-on-one mentoring sessions. To take the class, you should be able to code with HTML and basic CSS. If you need to learn these skills, Noble Desktop offers a basic HTML and CSS class.
Another option from Noble Desktop 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. 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. It 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. 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.
Python is a versatile language that has many uses. If you’d like to train a group of employees in Python, Noble Desktop offers corporate Python training programs. Training takes place onsite or in a live online format via Zoom or a similar platform. You can choose from one of Noble’s existing programs, or you can customize a course to meet your needs. Expert instructors have a combination of teaching and industry experience and can provide a variety of flexible scheduling options. Trainees will also receive post-training support material such as handouts and access to educational videos to help reinforce what they learn.
Another popular corporate training Python option is to purchase vouchers for Noble Desktop’s regularly scheduled group classes. With this option, employees can sign up individually for a class that meets their scheduling needs. Noble offers a discount with bulk voucher purchases. To get more information about corporate Python training options, email Noble Desktop.