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 one of the most popular programming languages in the world. Used by everyone from data analysts and software developers to financial advisors and journalists, Python ranks with Java and Ruby as an essential open-source language.
Python’s versatility has made it a favorite among data scientists and Machine Learning Engineers. However, its extensive statistical libraries and easy-to-read syntax make it an excellent language for beginners, too. Python’s open source licensing has led to a large community of developers, and it has subsequently become the default language for many programmers.
London professionals seeking careers that require Python skills can find positions ranging from Python Developer to Software Engineer to Data Scientist. While you’ll need additional tools in your toolkit beyond Python, if you plan to start a career in data science or web development, then there’s never been a better time to learn this popular programming language.
London’s finance industry is one of the strongest in Europe; nonetheless, the country. There’s a growing reliance on data in the finance world, so it makes sense that banks such as HSBC would hire Python experts. It’s used for data analytics and financial modeling in addition to algorithmic trading. Beyond that, however, it’s also used to detect fraud and assess potential risks, thereby keeping consumers’ financial records sealed and safe. It’s a reliable language that makes the finance industry seem more reliable itself.
Coding is a foundational part of the tech industry, so it comes as no surprise that Python is used extensively across this field. Companies like Google and Microsoft, which both have London offices, hire Python Developers to create websites, automate tasks, and analyze large data sets that uncover key information about consumers or the inner workings of the company. In other words, Python is an industry standard for the tech world, allowing it to support massive ecosystems that would otherwise seem impossible.
In London’s healthcare industry, Python is used extensively for medical data analysis, research, healthcare platform development, and diagnostics and imaging. NHS England has a data analytics team that will use Python to uncover trends in community health data and figure out ways to provide patients with better care. Overall, it’s an ideal language to learn if you want to work with computing and large-scale data analysis, but especially in the healthcare field.
One of the world’s largest financial centers, London is home to the head offices of most major U.K. companies and over 100 of Europe’s largest companies as well. Tech professionals seeking a career here have numerous options, and learning Python is essential for many of them.
Python career opportunities in the Greater London region include positions in both software development and data. If you plan to launch a career in a particular area, you’ll need to learn specific skills. For example, whereas a Data Engineer may need to become proficient in Python, Spark, and MPP databases, a Full Stack Developer position may require familiarity with frameworks like Node.js and Django.
Typical job postings in London for tech pros skilled in Python include Data Analyst, Web Developer, and Software Engineer. While these positions are highly in-demand and pay well, others tend to be even more lucrative, depending on the industry. Data Scientists, Back-end Developers, Data Engineers, and Machine Learning Engineers are among the best-paying Python positions in the region. Data scientists can expect to earn around £60,000 on average each year, while Data Engineers earn approximately £64,000 and Back-end Developers make about £63,000.
Whether you plan to become a Software Developer or a Data Engineer, learning Python will likely be an important component of your continued success.
Online classes provide a similar experience to their face-to-face counterparts, but from the comfort of your home or office. You get expert instruction and real-time interaction in a structured setting, all while skipping the city commute.
If you’re ready to get in-depth Python training, a bootcamp or certificate program can be the best way to gain significant knowledge in a concentrated timeframe. Noble Desktop offers multiple learning options appropriate to students who need Python skills. Their Data Science & AI Certificate program includes Python for Automation training, a Python for Data Science Bootcamp, Python Machine Learning Bootcamp, and SQL Bootcamp, all in an immersive 84-hour experience.
Students looking to start their deep dive with the Python for Data Science Bootcamp can take this 30-hour program separately. Noble Desktop also offers the Python Developer Bootcamp, a 90-hour comprehensive program covering Python web development with Django and an introduction to web databases using SQL.
Would your employees benefit from corporate Python training available onsite or virtually? Noble Desktop offers training either at your location or live online via teleconferencing. Featured courses include their Python for Data Science and Python Machine Learning Bootcamps, along with Intro to Python Programming, Python in a Day, and Python for Automation.
Would you prefer your team get their Python training outside normal business hours? Noble Desktop also offers vouchers to its open enrollment group classes. Employers get discounts with these when purchasing multiple courses.
For more information or to schedule a consultation, contact Noble Desktop.