The article discusses the basics of data analytics, including descriptive, diagnostic, predictive, and prescriptive aspects. It traces the evolution of data analytics from SQL analytics to cognitive analytics. Data science is highlighted as the foundation for modern data analytics. The chapter also covers data lifecycle and quality issues, as well as open source tools for developing data analytics systems. Future directions in data analytics are mentioned, and the chapter concludes with a summary and exercises for readers to enhance their understanding of data analytics.