Engineering and Technology
Develop the skills you need to clean raw data and transform it into accurate insights.
Data scientists and data analysts often face the challenge of cleaning messy data before they can effectively analyze it. In recognition of this common hurdle, our course is designed to equip you with the skills necessary to clean data stored in an SQL Server database. Throughout the course, you will learn how to address prevalent issues such as cleaning untidy strings, handling empty values, and comparing string similarity, among other essential techniques. To ensure a practical learning experience, you will have the opportunity to work with diverse and intriguing datasets, including monthly airline flights by airport, TV series data, and paper shop sales. If you are prepared to tackle the complexities of messy data head-on, this course is tailored to meet your needs.
by DataCamp
Develop the skills you need to clean raw data and transform it into accurate insights.
by DataCamp
Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, a...
by DataCamp
Learn to import data into Python from various sources, such as Excel, SQL, SAS and right from the we...
by DataCamp
Learn powerful command-line skills to download, process, and transform data, including machine learn...
by DataCamp
Learn to tame your raw, messy data stored in a PostgreSQL database to extract accurate insights.
by DataCamp
Learn to clean data as quickly and accurately as possible to help your business move from raw data t...
by DataCamp
Learn how to identify, analyze, remove and impute missing data in Python.
by DataCamp
Learn how to build and test data engineering pipelines in Python using PySpark and Apache Airflow.
by DataCamp
Detect anomalies in your data analysis and expand your Python statistical toolkit in this four-hour...
by DataCamp
In this course you'll learn how to get your cleaned data ready for modeling.