Python Classes Baltimore, MD

Learn the programming and data analysis skills you need to succeed in data science. This beginner-friendly course will teach you Python programming fundamentals, working with data frames, data analysis, data visualization, and statistical analysis. With flexible scheduling options and a free retake, you can refresh your knowledge whenever you need it.

In this course, you will expand your Python programming skills into machine learning and algorithms that can independently learn patterns and make decisions. Learn how to apply linear and logistic regressions to machine learning problems and algorithms like k-nearest neighbors, decision trees, and random forests. Understand important statistical concepts such as bias, variance, and overfitting, and gain the ability to measure the accuracy of your models. Plus, discover tips for choosing effective features and algorithms.

Learn the essential skills and tools needed to become a Python Developer. This beginner-friendly course covers Python for software development using Django and Django REST and other important tools like Git and SQL. By the end of the course, you'll be ready to apply for roles such as Python Developer, Back End Developer, and Software Engineer.

In this course, you will gain fluency in Python, the world's fastest-growing major programming language. By the end of the course, you will be able to build web and data science applications using Python's versatile capabilities. Whether you prefer in-person or remote learning, this course is offered in both formats to accommodate your schedule.

In this 26-week part-time bootcamp, you will gain the practical and theoretical skills needed to specialize in the lucrative field of AI and Machine Learning. Learn real-world tools and concepts, and receive professional career coaching to help you build and maintain an ideal career path in the industry. Expand your knowledge and qualify for various data roles focused on AI.

Learn to automate tasks using Python for various applications. Build skills in scheduling programs, updating spreadsheets, and web scraping. Topics covered include HTML and CSS basics, web scraping techniques, working with spreadsheets using Python, and scheduling scripts. Flexible scheduling options and a free retake are offered.

This introductory Python programming course will teach you about data types, writing functions, mathematical and datetime modules, and string formatting. You will also dive into flow control concepts such as loops, list comprehensions, enumerations, and is-is not operators. Additionally, you will explore using virtual environments, command lines, and file processing to execute Python files.

In this course, you will delve deeper into Python programming by exploring lambda functions, mapping and filtering, sorting, and other advanced topics. You will also gain a solid understanding of inheritance, attributes, methods, and properties. By the end of the course, you will have the skills to utilize an API to gather data from a website, save it into a CSV file, and clean it up using Python.

In this two-day course, you will gain a deep understanding of Python for data analysis. Learn how to work with Numpy Arrays, pandas, and MATPLOTLIB to analyze data and create visualizations. Perfect for beginners, this intensive course will quickly bring you up to speed on performing data analysis and visualization in Python.

In this five-day course, you will learn Python basics, even without prior experience. You will cover foundational concepts such as data types, control statements, functions and modules, exceptions and debugging, working with lists, and handling various data types. By the end of the course, you will be equipped with the skills to create real-world Python applications.