Living in the digital era, we produce a large amount of information each day, making data the top-tier valuable asset. It’s especially hard to overstate the importance of data for tech-savvy companies that use it to improve their decision-making processes.
On the intersection of data, technologies, and math we observe the origin of many fields that use data to succeed in achieving different goals. The most well-known fields are data science, data analytics, business intelligence, and big data.
Let’s take a look at each of them, find out their particular field of interest, and analyze the use cases.
Chapters:
0:00 Introduction
0:43 What is data analytics (DA)?
1:31 What is data science?
2:39 Difference between data analytics and data science
3:18 What is business intelligence (BI)?
4:18 What is big data?
5:05 Big data vs BI vs DA vs data science
9:12 Final thoughts
