PinnedSam Taylor[Data Analysis] Exploring a Dataset: Cleaning data (4/9)Master dataset cleaning using Python and pandas with the Iris dataset. Perfect for budding Data Analysts — unlock the power of clean data!Sep 24, 20231Sep 24, 20231
PinnedSam Taylor[Data Analysis] Machine Learning (8/9)Learn how to load data, preprocess it, choose a model, and evaluate its performance.Nov 5, 2023Nov 5, 2023
PinnedSam Taylor[Data Analysis] Visualising a dataset (5/9)Unlock the power of data visualization with Python in Visual Studio Code. From scatter plots to correlation matrices, explore the Iris…Sep 27, 2023Sep 27, 2023
PinnedSam Taylor[Data Analysis] An Overview of the Data Analysis Process (0/9)Learn the steps involved in analysing a dataset in this guide for aspiring data analysts.Sep 23, 2023Sep 23, 2023
Sam Taylor[Data Analysis] Presenting findings (9/9)A guide for beginner Data Analysts on presenting analysis results. Covers organising findings, creating visualisations with Python…Aug 2Aug 2
Sam Taylor[Data Analysis] Defining Objectives (1/9)Learn how to define objectives, goals, and questions for your data analysis journey. Apply these steps to the Iris Flower dataset and…Nov 15, 2023Nov 15, 2023
Sam Taylor[Data Analysis] Statistical analysis (7/9)Learn the essential steps of statistical analysis using Python and Jupyter notebooks on the Iris dataset.Oct 25, 2023Oct 25, 2023
Sam Taylor[Data Analysis] Feature engineering (6/9)Learn how to preprocess, select, transform, create, and scale features for optimal results using Python on the Iris dataset.Oct 22, 2023Oct 22, 2023
Sam Taylor[Data Analysis] Data Exploration: Summary Statistics (3/9)Learn how to summarise the Iris Flower dataset in VS Code using Python. Explore df.head(), df.tail(), df.info(), and df.describe() in this…Sep 20, 2023Sep 20, 2023
Sam Taylor[Data Analysis] Data Acquisition: Loading a CSV Dataset in Visual Studio Code (2.2/9)Learn how to load the Iris Flower dataset into VS Code with the help of a Jupyter Notebook, an essential skill for aspiring data analysts.Sep 17, 20231Sep 17, 20231