Data Analysis Tutorials

Hypothesis testing is a statistical method used to evaluate claims about populations based on sample data.

Discover how to use \n to insert line breaks in strings and print() statements. Use the end parameter to keep your output on a single line. Improve your file handling skills with os.linesep for managing text across different systems.

Discover how to perform Count Distinct in Tableau using the Measure Names Shelf and Calculated Fields. Explore COUNTD() and FIXED LOD expressions for more advanced calculations.

Understand how to copy lists in Python. Learn how to use the copy() and list() functions. Discover the difference between shallow and deep copies.

Learn how to round a number to two decimal places in Python for improved precision using techniques like round(), format(), and string formatting techniques.

This tutorial discusses clustered column charts, why Excel is good for creating them, and how to create and customize clustered column charts in Excel.

Master the art of using VLOOKUP() with multiple criteria in Excel. Explore advanced techniques like helper columns and the CHOOSE() function.

Learn how to use DECODE() in Oracle for conditional logic in data transformation. Compare DECODE() to the CASE WHEN statement in performance and behavior.

Learn how to append key-value pairs in a Python dictionary using methods such as square bracket notation, .update() for bulk additions, and .setdefault() for conditional inserts.

To calculate standard deviation in Excel, enter your data into a range of cells and use either =STDEV.S() for sample data or =STDEV.P() for population data.

Understand how to remove items from a list in Python. Familiarize yourself with methods like remove(), pop(), and del for list management.

Learn how to use Python's pop() method to remove elements from lists and dictionaries, including how to remove items while iterating. Learn to avoid common errors like IndexError and KeyError.