What is Business Analytics? Everything You Need to Know
We explain what business analytics is, why it's important, the different aspects of business analytics, and the tools most commonly used.
Business Analysis Courses
Learn how to analyze business processes in R and extract actionable insights from enormous sets of event data.
Analyzing Business Data in SQL
Learn to write SQL queries to calculate key metrics that businesses use to measure performance.
Data Science for Business
Learn about data science for managers and businesses and how to use data to strengthen your organization.
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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.