Data Analytics with AI Made Simple

By the end of this course, you should be able to:

understand what data is;

understand data analytics in simple language;

recognize common types of business data;

understand rows, columns and tables;

distinguish numerical data from categories and text;

identify useful business questions before analysing data;

collect and organize simple datasets;

recognize common data-quality problems;

clean basic data before analysis;

understand why clean data matters;

use AI to help explore a dataset;

write better prompts for data-analysis tasks;

ask AI useful analytical questions;

understand totals, averages, minimums and maximums;

understand percentages and percentage change;

identify simple trends and patterns;

compare categories and periods;

understand the difference between a pattern and proof of a cause;

choose useful charts;

use AI to help explain charts and findings;

verify important AI-generated calculations;

recognize AI hallucinations and unsupported claims;

protect confidential and personal information;

summarize findings in simple business language;

turn analysis into possible actions;