Master your data skills with DataCamp
Learn the skills you need at your own pace—from non-coding essentials to data science and machine learning.
Learn how to create and query relational databases using SQL in just two hours.
Accompanied at every step with hands-on practice queries, this course teaches you everything you need to know to analyze data using your own SQL code today!
Introduction to SQL Server
Learn to use SQL Server to perform common data manipulation tasks and master common data manipulation tasks using this database system.
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20 Data Analytics Projects for All Levels
Explore our list of data analytics projects for beginners, final-year students, and professionals. The list consists of guided/unguided projects and tutorials with source code.
Data-Driven Thinking for Everyday Life
Gary Wolf talks about what The Quantified Self is, why self-tracking projects can be life-changing, how to get started with self-tracking, and how to connect with others.
Reshaping Data with pandas in Python
Pandas DataFrames are commonly used in Python for data analysis, with observations containing values or variables related to a single object and variables representing attributes across all observations.
Reshaping Data with tidyr in R
In this cheat sheet, you will learn how to reshape data with tidyr. From separating and combining columns, to dealing with missing data, you'll get the download on how to manipulate data in R.
Data Quality Dimensions Cheat Sheet
In this cheat sheet, you'll learn about data quality dimensions, allowing you to ensure that your data is fit for purpose.
Top Techniques to Handle Missing Values Every Data Scientist Should Know
Explore various techniques to efficiently handle missing values and their implementations in Python.