Amazing Tech Ed Learning

Python is a very popular programming language. This workbook has over 100 questions and answers using the Titanic Dataset. There are 3 sections: Exploratory Data Analysis EDA, Data Cleaning, and Data Visualization. Load the dataset, open Python, Open Jupyter Notebook and start coding to the questions. The workbook includes questions, code answer plus code output. There is a question sheet so the student can look at their output and answer the questions so you can see if they have the correct c

Have your students practice coding Python using the USA Housing dataset from Kaggle.com. This is a packet with coding questions, correct code, and what the code output should look like. The IDE used in this material is Juypter Notebook. Python code includes load libraries, head, tail, shape, info, columns, describe, transpose, print, dtypes, indexing, select_dtypes, value_counts, sort_values, isnull, functions, count, correlation, loc, lambda, format, unique, nunique, isna, and more. The datas

Practice coding in PostgreSQL. Load the open source PostgreSQL and give the problems in this workbook a try. The data can be easily typed into Excel because they are short tables for this purpose. Otherwise, the excel.csv tables can be found on the author's GitHub page. This book contains questions and then answers which show the code and output. Practice SQL with commands select, insert, alter, add, update, delete, where, create, values, add primary key, limit, type, add column, order by, a

Practice Python coding using the Pima Indians Diabetes Dataset. Download the dataset, then answer the questions writing the Python code on the worksheets in this resource. An Answer Sheet in included with the code to be written and the Python output. This is Exploratory Data Analysis to get to know your data. The data has a CCO: Public Domain usage. Python code includes load libraries, .describe, .info, .columns, .shape, .value_counts, .unique, .nunique, lambda, formating decimal places, .head,