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 among the most popular computer programming languages globally. Its history goes back to the 1980s when Dutch programmer and Monty Python fan Guido van Rossum created the language for fun. Since then, Python has grown to rank in the top three programming languages in virtually every online survey, alongside JavaScript and HTML and CSS.
While Python is the go-to programming language for most data science and analytics roles, many tech pros use it. Titles for Python users include, but are not limited to:
Structured Python training is essential for those learning Python for data science, development, or software engineering careers. There may be other choices than a paid program for office workers experimenting with Python for task automation. However, tech pros whose positions demand regular Python use must find the best training in the most concise timeframe.
Python training comes in many formats and styles, including short introductory courses and immersive data science and AI certificate programs. What you do with Python depends on multiple factors, from your proficiency level to professional experience. Consider the following high-level projects you can do with Python:
What you learn in a Python class depends on numerous factors—from course length and tuition to whether the curriculum is beginner-level, intermediate, or advanced. Some Python novices take courses in individual subjects like SQL or Tableau. Others jump in, enrolling in immersive data or development bootcamps or certificate programs. These longer courses often cover multiple topics, including Python and relevant data or development subjects. Consider the following subjects you might learn as part of your Python training:
Learning a popular programming language like Python requires learning related frameworks, libraries, and databases. Many beginners must master Python frameworks like CherryPy, Django, and Flask, and libraries like NumPy, Pandas, and Matplotlib. These assist in everything from back-end web programming to data analysis.
SQL is an abbreviation for Structured Query Language, a popular data analysis language. Data science professionals use varying types of SQL databases, the most popular being MySQL, Microsoft SQL Server, and PostgreSQL. Other tech pros who use SQL and Python include Full-Stack Developers and Software Engineers, to name a couple.
If you have to code Python, chances are good that you will need to learn how to do it using Jupyter Notebook. This popular web-based tool helps users to combine notes, code, and data visualizations in an interactive environment. Jupyter Notebook is open-source software, which means it costs nothing and is shareable for users.
Many jobs requiring Python skills require data visualization tools like Tableau and Power BI. These high-level software programs allow users to create and share graphical data representations like charts, graphs, and maps. You will need this training for roles like Marketing Specialist, BI Analyst, or Data Analyst.
The challenge of learning a new computer programming language like Python depends on factors like your current skill set and previous experience. However, Python has numerous applications. You can familiarize yourself with Python fundamentals in a few days, but to become an expert in a Python-centered field like data science takes years. Consider enrolling in an in-depth bootcamp or certificate program if you plan to use Python daily.
Many experts consider Python to be an ideal first computer programming language. The most challenging aspects of learning depend on your experience with other languages and how and where you plan to use Python. However, its versatility and easy syntax make it the first choice for everyone from Data Scientists to Back End Developers and Software Engineers.
The time it takes to master Python depends on how proficient you must be to meet your learning goals. Previous coding experience, preferred training format, and whether you learn part-time or full-time are all relevant factors. Learning Python fundamentals can take as little as six weeks, but mastering intermediate or advanced Python can take up to six months or more.
While some people prefer to learn Python in a traditional classroom format, the number of beginners who choose live online courses for their training increases annually. Consider the advantages or drawbacks of the following training methods:
What you learn alongside Python depends on how and to what degree you intend to use the language after training. For example, Data Analysts and Data Scientists may need to master Tableau or Power BI, Python Developers may have to learn Django REST, and Full Stack Developers will need HTML and CSS. Scan job listings for the role you seek to get a real-world look at the tools and skills required in the current market.
Charlotte, the most populous city in North Carolina, is also a commercial hub. With pro sports franchises like the NFL Panthers and NBA Hornets, Charlotte is a top destination for car enthusiasts, as it boasts the NASCAR Hall of Fame. Consider the following top industries for Python careers in Charlotte:
There is no doubt that Charlotte is a car town. The Charlotte metropolitan area is home to the NASCAR Hall of Fame and also hosts two NASCAR tracks in nearby Concord. Most Python jobs here are in software or website development.
Financial services, a subsector of the BFSI supersector, is a top industry in Charlotte. The city is home to the Bank of America headquarters and Wells Fargo’s East Coast division. Python skills are essential to this industry for Financial Analysts, Business Intelligence (BI) Analysts, and Risk Strategists.
North Carolina’s food processing and manufacturing industry is a highly technical sector requiring a significant amount of automation, from sourcing to distribution. Jobs requiring Python skills in this sector include Quality Assurance Supervisors, Python Software Developers, and Food Scientists.
Information technology is always a top consideration for those seeking Python-centered careers, and Charlotte offers much to this sector. Amazon’s Charlotte location is a top employer, and IT jobs requiring Python range from Technology Specialist to Infrastructure Engineer.
Python careers in Charlotte range from analytics to software development, although many other categories can require at least some Python proficiency. Consider the following top roles:
With financial services in the top Charlotte BFSI sector, you can find plenty of opportunities here. A Financial Analyst in the Charlotte metro area can expect to earn about $80,000 annually.
A BI Analyst may liaise between internal staff and key stakeholders, supporting or leading projects and recommending procedural improvements. In Charlotte, these tech pros typically earn around $91,000 annually.
Data Scientists are among the most respected and highest-paid data science professionals. They often earn more than six figures, and Charlotte is no exception, with Data Scientists averaging about $113,000 here.
Search for software development positions in Charlotte, and you will find numerous listings, including Python Developer. These well-trained pros earn some of the highest salaries for Python-centric roles here, with an average annual salary of around $125,000.
Noble Desktop hosts numerous Python training classes, including its highly-rated Python for Data Science Bootcamp. This immersive 30-hour course covers Python basics, arrays and dataframes, and essential data science libraries like Pandas and Matplotlib. You can save by taking the Python for Data Science Bootcamp as part of the Data Science & AI Certificate or Data Analytics Certificate programs.
Practical Programming also offers beginner-friendly Python training. Its Python for Data Science Immersive teaches budding Data Analysts and Data Scientists to use the popular programming language in this growing field. Additional topics include Matplotlib, NumPy, Pandas, and scikit-learn.
Would your team benefit from corporate and onsite Python training? Noble Desktop in-person and online training options include Python for finance, automation, machine learning, and data science. Noble can also customize a program to meet your organization’s requirements. Check course listings for details, including any prerequisite information.
If you want your employees to have greater flexibility with their Python training, Noble also offers discounted vouchers for open-enrollment group courses. Employers get a discount when they purchase the vouchers in bulk, providing a convenient option so an organization can select the training format that best suits its needs. Contact Noble Desktop for more information and a free consultation.
Charlotte is a city full of opportunity for professionals looking to grow their skills in tech, design, business, data, and more. Known as a major hub for finance, energy, and technology, the Queen City is home to numerous banks, investment firms, and insurance companies, including Truist and Bank of America, as well as Duke Energy, the region’s leading electric company. For those pursuing Python, Charlotte's exceptional FinTech and data-driven industries make it an especially valuable place to build programming expertise. Python skills are in high demand across analytics, automation, and software roles throughout the city. Noble Desktop offers hands-on training with expert instructors who are not only willing, but excited, to help you take your skills to the next level. These instructors have decades of experience and know what it takes to succeed in the field that you wish to explore. All in all, you can learn how to enter the professional landscape and thrive in your role, no matter what that may be. In a city like Charlotte, the opportunities are abundant, so professional training is well worth the time and effort.
Henry Gonzalez is a certified Project Management Professional (PMP) and seasoned educator with over 30 years of experience working for the federal government as an Engineer, Manager, and Executive. During his time as an Executive, his main focus was program management of advanced technology programs in naval warfare, air traffic management, and homeland security. Now a retired senior official based in Charlotte, Gonzalez provides training in project and program management, leadership, and strategic planning to students and clients across sectors worldwide. He has achieved great heights in his career, obtaining the highest level of federal certification in acquisition program management and systems engineering. He also contributed to the Project Management Institute’s Standard for Program Management as a member of the original update team.
Based in Charlotte, Adrianna is a retired federal Human Resources (HR) Senior Leader with over 32 years of experience. She holds a Master’s Degree in Management Technology and Human Resource Management and is a certified Senior HR Professional by the Society for Human Resource Management. Throughout her career with the Department of Veterans Affairs, Adrianna worked everywhere from headquarters to regional offices, giving her ample experience with mentoring professionals all across the organization. She is passionate about sharing her knowledge with others, now working as an instructor to help others further their understanding of human resources and professional development.
James Campbell is an independent federal financial management consultant and seasoned instructor with over a decade of experience developing and teaching courses in finance and accounting at Graduate School USA, including subjects like budgeting and auditing. His career includes senior consulting roles with PricewaterhouseCoopers LLC and IBM Consulting Services. He’s also performed extensive audit and review work at the U.S. Government Accountability Office, where he served as an Assistant Director. James has also designed and updated numerous financial management and auditing classes, drawing on his expertise as a former CPA. His academic background also positions him to be an excellent instructor. He earned a Bachelor of Science in Accounting from East Tennessee University, an MPA from Georgia State University, and completed executive development training from George Washington University.