Data Science for Beginners: Practical Tools & Concepts

Are you curious about data science but unsure where to start. This beginner-friendly course offers a clear introduction to the core concepts, tools, and real-world applications of data science-no coding experience required. Whether you're looking to transition into a data role, boost your analytical skills, or just understand how data powers the world, this course gives you a comprehensive foundation to get started and understand how to use tools like Google Sheets, jamovi, SPSS, and R to work with data1.

DATA SCIENCE: An IntroductionData science sits at the intersection of statistics, computer programming, and domain expertise. This non-technical overview introduces the basic elements of data science and how it is relevant to work in the real world. 2.

DATA SOURCING Data science can't happen without data. That means the first task in any project is source - that is, to get - the raw materials that you will need. This course discusses some of the more familiar methods of gathering data and some of the less familiar that are specific to data science.

3. CODINGData science professionals rely on a range of tools, from basic spreadsheets to advanced languages like R and Python. In these videos, we'll cover the basic elements of the most important tools for data science4.