Week 1: Basic fundamentals Day 1: Introduction to Data Analytics, Data Science, Data Engineering and AI. Data is raw unorganized collection of facts, observations or symbols. Types of data analytics and the data careers in this fields. Prescriptive Analytics: What should we do about it? This is a branch of data that deals with prediction of future outcomes but also recommends the optimal course of action to take. Descriptive Analytics: What happened? Summarizes raw historical data into easily readable metrics, charts and reports. Predictive Analytics: What is likely to happen? Use historical data alongside statistical models and machine learning algorithms to identify trends and to forecast future probabilities. Diagnostic Analytics: Why did it happen? Involves drilling down into historical data to identify the root causes of specific trends, anomalies, or performance dips. Tools that were installed and their purpose in data. DBeaver : This is a data base management tool.…