Python Classes CT

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 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.

In this three-day course, you will gain a solid foundation in data wrangling with Python. Explore tools like NumPy, Pandas, and MatPlotLib to perform statistical calculations, work with different data sources, and scrape web pages. Finish the course by tackling a real-world data-wrangling project.

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.

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.

In this two-day course, you will enhance your expertise in Python with a focus on data science. Designed for software developers, IT architects, and data scientists, you will learn the theoretical and technical aspects of Python's role in data science. Gain insights into the history and purpose of data science, life-cycle phases of data analytics, methods for repairing and normalizing data, and techniques for aggregating and grouping data. With 10 lab exercises, you will have practical experience applying your new skills.

Discover the essentials of machine learning as you gain familiarity with object-oriented programming and neural networks. Through Python coding, you will learn the foundations of machine learning algorithms and how to apply them to real-world scenarios. Enhance your data analysis and problem-solving skills while exploring the exciting field of machine learning.