Introduction to Data Science

Discover the importance of data science and the paths leading to a career in this field. Gain insights from seasoned professionals and understand why data science is a highly sought-after job in the 21st century.

Explore the data scientist’s toolkit, including libraries, machine learning models, and big data tools. Learn to use languages like Python, R, and SQL, as well as tools such as Jupyter notebooks and RStudio for effective data management.

Understand the necessity of a data science methodology and its application. Learn the CRISP-DM methodology stages and evaluate appropriate analytic models and data sources for data science analysis.

Master the analysis of data within databases using SQL and Python. Create and work with relational databases, and compose powerful queries using advanced SQL techniques like views, transactions, stored procedures, and joins.