Data Analysis

Core skills for cleaning, querying and exploring data with SQL, Python, R and Excel.

R Programming A-Z: R For Data Science

A long-running Udemy course teaching R programming fundamentals for data science, covering structures, visualization and basic statistics.

Introduction to SQL

Data Analysis

A free-tier-friendly, interactive introduction to SQL covering SELECT, WHERE, JOIN and GROUP BY, taught through in-browser coding exercises.

SQL

SQL for Data Science (UC Davis)

Data Analysis

A UC Davis Coursera course teaching SQL specifically for data analysis workflows, covering querying, joining and aggregating real datasets.

SQL

Excel to MySQL: Analytic Techniques for Business (Duke)

Data Analysis

A Duke University Coursera course bridging Excel and SQL, teaching the same analytic techniques in both tools so spreadsheet users learn.

Excel SQL Tableau

Excel Skills for Business Specialization (Macquarie)

Data Analysis

Build in-demand Excel skills through four Macquarie University courses covering formulas, dashboards, automation, and data analysis.

Excel

Data Analysis in Python

Data Analysis

A DataCamp track teaching pandas, NumPy and data cleaning techniques for analysts moving from spreadsheets or SQL into Python-based.

Python

Data Analyst Career Path

Data Analysis

Launch your career in data analysis with expert-led training, hands-on projects, and an accredited certification.

Excel Python Tableau

Excel Fundamentals

Data Analysis

Enhance your data analysis skills with hands-on Excel training, perfect for beginners looking to gain practical knowledge.

Excel

Data analysis is where most data careers begin, and it is the skill hiring managers test first. Courses here teach you to clean messy data, join and aggregate it, and interrogate it until the patterns show. Expect hands-on work with SQL queries, Python libraries such as pandas and NumPy, the tidyverse in R, and advanced Excel. You will learn exploratory data analysis, descriptive statistics, handling missing values and outliers, and how to frame a question before you touch the data. These skills feed directly into business intelligence, machine learning and every analytics role downstream.