While the mathematical and logical thinking skills necessary to be successful as a data scientist are also helpful for a career as a data analyst, there are some notable differences between the two.

For example - A company or organization that has petabytes of user data (10 15 or 1,000,000,000,000,000 bytes) utilizes Data Science techniques and tools to store, analyze, and manage their data ...

Business intelligence and data science often go hand in hand. Both fields focus on deriving business insights from data, yet data scientists are regularly touted as the unicorns of big data analysis.

Data scientists and data analysts have overlapping duties but function differently in terms of the data they work with. Read below to know the difference between Data Analyst and Data Scientist.

Many enterprises, vendors, and startups often confuse the role of data scientist and data engineers. While the overlap of these roles is substantial they’re not particularly interchangeable.