Fast Track to Python for Data Science | Introduction to Python for Data Science (TTPS4873)

Fast Track to Python for Data Science and/or Machine Learning is a three-day, hands-on course geared to equip you with the knowledge and skills necessary to handle various data science projects efficiently using Python, one of the most popular languages in the industry. Python’s ease of use, extensive libraries, and robust community make it a fantastic choice for professionals seeking to enhance their data science capabilities. From automating small tasks to building complex data models, Python can enable you to streamline your work or provide significant insights for your organization.Working in a hands-on learning environment led by our expert instructor, you’ll also gain experience with Python’s core topics like flow control, sequences, arrays, dictionaries, and handling files. You’ll delve into functions, sorting, essential demos, the standard library, and even dates and times.  You’ll learn how to manage syntax errors and exceptions effectively, enhancing your code’s resilience and your productivity.  You’ll delve into how Python it operates within web notebooks such as iPython, Jupyter, and Zeppelin, where you’ll practice writing, testing, and debugging your Python code. You’ll also gain practical experience with Python and key data science libraries, enabling you to optimize data handling and create insightful visualizations. You’ll explore working with large number sets and transforming data in numpy, reading, writing, and reshaping data with pandas, and creating data visualizations with matplotlib. You’ll also gain experience optimizing data handling processes, creating insightful visualizations, or making data-driven decisions.By the end of this journey, you’ll have a solid understanding of Python for data science, including data analysis, manipulation, and visualization, ready to apply these new skills in your work. This course aims not just to teach Python but also to lay a strong foundation for you to continue building upon, enhancing your proficiency in Data Science and enabling you to contribute effectively to your team’s data projects.