Power Query has an incredible number of features that are dedicated to helping you clean and prepare your data for analysis. You'll learn how to simplify a complicated model, change data types, rename objects, and pivot data. You'll also learn how to profile columns so that you know which columns have the valuable data that you're seeking for deeper analytics.

This course teaches optimizing Power Query in Power BI to load, cleanse, and transform data, which is essential in the PL-300 certification exam.

Build an awesome Cleaner App ui all from scratch with flutter

This course targets software developers and data scientists looking to understand the initial steps in a machine learning solution. The content will showcase methods and tools available using Microsoft Azure.

Learn to rename columns, tidy up messy data, and convert data types for efficient analysis. Say goodbye to data headaches and hello to streamlined insights.

Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.

Learn to clean data as quickly and accurately as possible to help your business move from raw data to awesome insights.

Develop the skills you need to clean raw data and transform it into accurate insights.

Learn to clean and manipulate data using the Pandas library in Python. Cover common issues like missing values and irrelevant features, use correlation analysis, encode categorical features, and prepare data for machine learning models.

Learn how to clean data with Apache Spark in Python.

Python has built-in capabilities that help you easily clean string data. This course will teach you what those capabilities are and how to use them.

This course will teach you how to recognize dirty data, minimize its occurrence, and cleanse your data in Excel, working more efficiently, reducing errors, and minimizing cleansing time.