Description
Description: The Data Science course offers a robust introduction and advanced exploration into the expansive field of data science. Structured in six comprehensive units, this program covers key topics such as an Introduction to Data Science, a Python Refresher, Advanced Data Manipulation, SQL for Data Analysis, Factorization & Visualization, and Machine Learning. Designed for both novices and seasoned data practitioners, the course adjusts to individual skill levels with options for a Python introduction or refresher and progresses into sophisticated areas including advanced data types, databases, SQL, and data exploration techniques.
Throughout the course, participants are required to engage directly with the material through coding exercises that apply theoretical concepts to practical data analysis challenges. This hands-on approach ensures that participants gain practical experience in manipulating and visualizing data, as well as implementing machine learning algorithms to solve real-world problems. The focus is on developing the skills necessary to perform data analysis tasks rather than completing specific projects.
AUDIENCE: This course is designed for a diverse audience including IT professionals, analysts, researchers, and academics who are keen to implement data science techniques in their work. It is particularly beneficial for those new to the field, offering a foundational understanding that paves the way to mastering complex data-driven challenges, thereby enhancing their professional capabilities in various industries.
Complete this course within 60 days of enrollment. Access to course materials will expire after this period, so we encourage you to plan your study time accordingly to make the most of your learning experience.
