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 high-level programming language used for developing software and websites, analyzing and visualizing data, and automating tasks. Created by Programmer Guido van Rossum, it was first released in 1991 and is maintained by the nonprofit Python Software Foundation. It is one of the world’s most popular programming languages, used by more than fifty percent of Developers, according to Stack Overflow’s annual survey.
Python skills can give you access to a wide range of different jobs. The Python Institute says, “It’s everywhere, and people use numerous Python-powered devices on a daily basis, whether they realize it or not.” It says, “Python is a great choice for career paths related to Software Development, Engineering, DevOps, Machine Learning, Data Analytics, Web Development, and testing. What's more, there are also many jobs outside the IT industry that use Python.” Overall, it insists that Python is a valuable skill within many common jobs including Management, Education, Data Analysis, Economics, and even Art.
When you learn Python, you’ll learn how to use the Python language. Every programming language—including Python—has its own syntax, which is the way that words and phrases are arranged. Other basic language-related concepts that you’re likely to cover in a Python class include variable expressions, data types, conditionals, functions, and loops.
Python is used for working with data, and when you take a Python class, you’ll learn about a variety of tools that you can use for that process, including data structures and algorithms. A data structure is like a container that is used to store and organize data in a certain way and an algorithm is a set of instructions that you can use to solve a specific type of problem.
Python has a large number of frameworks and libraries and a class is likely to cover at least some of them. Frameworks and libraries are preexisting collections of code that you can borrow from rather than writing every single piece of code from scratch. They can help speed up your work time.
Most Python classes cover best practices, which are an important element of working with this—or any—Coding Language. Best practices will help you create high-quality code that is secure, consistent, and readable. They include writing in the most simple form that you can, keeping your code organized, and testing it regularly.
As you learn Python, you’ll also be improving your problem-solving skills, since problem-solving is a key element of coding. Programmers often write code to solve specific problems. In addition, testing that code often leads to even more problems to be solved.
Compared to other programming languages, Python is fairly versatile and has a relatively simple syntax, making it a good choice for a first programming language. However, learning any programming language—including Python—takes dedication and practice. If you already have experience with programming or fluency in any other programming languages, you’re likely to learn more quickly.
For many people, one of the most challenging things about learning to work with Python is the process of finding and correcting errors in their code, also known as debugging. This can be time-consuming and difficult, and many beginners find it frustrating. Experts advise that the best way to improve your debugging skills is to practice; the more time you spend practicing debugging, the less challenging it is likely to feel.
Residents of Dallas will find Python classes in both an in-person and an online format. There are advantages and disadvantages to each, and the best option will depend on your learning preferences and scheduling needs. In-person classes take place in a classroom dedicated to learning and are free from distractions. Many students find that they are the most engaging way to learn and an effective way to learn complex topics. One of the biggest complaints associated with in-person classes is their lack of flexibility; you have to commute to a specific location at a set time, and you’re restricted to classes in your geographic location.
Online classes have become a popular alternative to in-person learning in recent years because they offer students more flexibility. For this format, students attend via computer and can be based anywhere they want. Because students don’t have to be physically present in the classroom, they have access to a lot more course options. One type of online class is the live online class, which has a Live Instructor and includes the opportunity to interact with the instructor and students in real-time. Many students like live online learning because it combines real-time interaction with the flexibility of online learning. A downside is that students need to supply their own equipment and software. Another online format is on-demand learning. This type of class is asynchronous, which means that course material is pre-recorded and students learn at their own pace. A downside to this format is that there is no Live Instructor to answer questions or give feedback.
Free online resources can be helpful when you’re learning Python. You can use them to get a better understanding of what this language is and how to use it, and they can also be a great way to pick up a few new skills or troubleshoot a specific problem. YouTube has free resources, and so do many schools. For example, Noble Desktop provides free seminars to help prospective students get a better understanding of a range of coding and design topics. Intro to Python Fundamentals covers Python basics, and Exchanging Excel for Python explores some of the ways this language can be used in finance. However, while you may want to integrate free resources into your learning process, if you’re serious about learning Python you’ll probably want to enroll in a live class. With a live class, you’ll follow a comprehensive curriculum and you’ll get guidance and feedback from a Python expert. You can also be confident that the course content is accurate and up-to-date.
Due to its versatility and simplicity, Python has been embraced by the tech industry. The Dallas area is a tech hub. According to Say Yes to Dallas, a website created by the Dallas Regional Chamber, “Over the past two years, the region has seen a significant 11.3% growth in high-tech software and services jobs, outpacing the U.S. average growth rate.” It says, “With such dynamic growth and a wide range of opportunities, Dallas-Fort Worth is an ideal locale for anyone looking to break into or advance within the tech industry.”
Many different industries are becoming more focused on utilizing data, including the field of finance. Python is a popular data analysis tool. A new term—“FinTech”—has even been coined to describe the use of technology in finance. The Dallas Regional Chamber calls the Dallas-Fort Worth area “a key U.S. financial center, ” and reports that top financial employers include Chase, Citigroup, Wells Fargo, and JPMorgan.
Python is an effective tool for several different AI tasks, making it popular in this industry. In addition, its large and active community of users can provide a broad range of support on many different topics.
Python’s flexibility and simplicity make it useful in the field of cybersecurity, where it is often used for testing, analysis, and automation. Security Experts also like Python’s cross-platform compatibility, which means that programs built with this language can run on a variety of different operating systems.
Web Developers create and maintain websites. Most are fluent in Python. A Web Developer can specialize in the front-end of the website, which is the part that users see and interact with. This role is known as Front-End Developer. A Back-End Developer focuses on the back-end, which includes things like the server that are essential to the site’s operation but are not seen by users. Full Stack Developers are able to work on both the front-end and back-end. Another related role is that of Python Developer, which is someone who specializes in Web Development with Python.
The U.S. Bureau of Labor Statistics (the BLS) predicts that web development jobs will grow by 8 percent between 2023 and 2033, which is faster than the average growth rate of 4 percent. It ranks the Dallas metropolitan area in the top ten U.S. metropolitan areas for the highest employment level of Web Developers, with more than 1,700 people employed. The annual mean wage for a Web Developer in Dallas is $101,000, according to the BLS.
Software Engineers use coding languages such as Python to build and maintain a variety of types of applications and software. The BLS predicts 17 percent job growth in this field over the next decade, which is much faster than average. It says, “Increased demand for Software Developers… will stem from the continued expansion of software development for artificial intelligence (AI), Internet of Things (IoT), robotics, and other automation applications.” It reports that Dallas has the sixth highest employment level for Software Developers in the United States among metropolitan areas, with about 59,000 people employed and an annual mean wage of $128,000.
Machine Learning Engineer is a role that includes elements of both programming and Data Science. Machine Learning Engineers use programming languages like Python to create programs that will allow computers to perform many actions without being specifically told to do so. They typically need strong programming, Data Science, and math skills. According to Indeed, a Machine Learning Engineer based in Dallas has an average salary of $142,000.
Data Scientists work with large amounts of data, gathering it and analyzing it to uncover many different insights. They also create new models that can be used for data analysis. Math, programming, and communication skills are important in this role. According to the BLS, this field will grow rapidly over the next decade, with job growth of 36 percent expected. The agency says, “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.” According to the BLS, Dallas has one of the highest employment levels of Data Scientists in the United States, with more than 6,700 people employed. It finds that the annual mean wage for this profession in Dallas is $116,000.
For students in Dallas, General Assembly runs a Python Programming Short Course, which is a multi-week accelerated course that covers many fundamental Python skills including object-oriented programming, using Python in web programming, and using Python in Data Science. They will also learn to work with AI.
Another Dallas option is Become a Data Analyst, offered by Coding Temple. In this class, students learn many different tools and languages including Python, Pandas, Excel, Tableau, NumPy, and Matplotlib. They will also engage in hands-on exercises designed to replicate real-world data analysis situations.
The University of Texas at Dallas offers an AI & Machine Learning Bootcamp. In this course, you’ll learn applied Data Science with Python, generative AI and prompt engineering, and deep learning. This is a multi-week course.
You can also take a course through Noble Desktop, a coding and design school that is based in New York City, but also runs its classes in a live online format that you can take from any location. 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.
If you want to train a group of employees in Python, Noble Desktop offers several different corporate Python training programs. Its experienced instructors can run both onsite and live online options. You can either choose from several existing courses, or you can customize a training program to suit your specific needs. Instructors have both teaching and industry experience, and provide flexible scheduling options including weekdays, weeknights, and weekends. All employees will also be provided with support materials to access after the training has ended such as handouts and training videos.
If you’d like to give your employees a more flexible training option, you can buy vouchers for Noble Desktop’s regular group classes. With this option, each employee enrolls individually, and you’ll be able to choose which classes they are able to sign up for. Noble offers a discount with bulk voucher purchases. To receive more information about corporate Python training options, or to schedule a free consultation, email Noble Desktop.