Ravindra BagaleCourses & study guides

1. Data Science vs Data Analytics

Chala mitrano, aaj aapan Data Science aani Data Analytics madhla fark samjun gheuya. Excel, Power BI aani Python – konta tool kadhi vapraycha, ek row mhanje kay (grain), aani ha course konta path gheto te clear hoil. Ghabru naka, ekdum sope aahe.

What you will learn in this chapter

  • How data analytics and data science differ in day-to-day work
  • When to use Excel, Power BI or Python Jupyter
  • What “grain of one row” means on Blinkit orders
  • The map of this course (no ML in v1)

Fictional data

Blinkit / Amazon Now figures in this chapter are fictional sample data for learning only. They do not show real company numbers. People names are for practice; e-mails use example.com.

Concepts in this chapter

  1. 1.1Analytics and Science — Same Data, Different Questions
  2. 1.2Excel vs Power BI vs Python
  3. 1.3Grain of One Row
  4. 1.4Map of This Course

The chapter recap is at the end of the last concept page.