Importance of data science in modern business environments

Module 1: Understanding the Role of Data Science in Business

1. Introduction to Data Science

2. Replay Introduction to Data Science Life Cycle of Data Science

3. Session 2 Importance of DS in modern business environments Understanding of Data Science and its Business Perspective Its Applications Different tools used Python – Introduction/Installation

4. Data Science for Business

5. Python is made even more trustworthy by the fact that it is used by tech giants like Google and Netflix. Even companies like Uber and Dropbox also use Python for more structural programs. Let's look at Python’s utility in these firms: Netflix  utilizes Python to recommend TV shows based on the user's watch history. Instagram  gives users a more unique and personalized explore section using Python. Spotify  enhances its user experience by creating personalized music recommendation lists using Python. Google  has improved its search engine functionality with the help of a Python course created for aspiring developers.

6. Software and Tools for this course Python – IDE

7. Software and Tools for this course Python Notebooks – Jupyter Notebook or Google Colab

8. Difference in Notebooks

9. Shortcuts in Colab vs Jupyter

10. Software and Tools for this course Business Intelligence Tools – Power BI or Tableau

11. Importance of Python

12. What is Python ?

13. Why Python ?

14. Installation

15. Q N A

16. Q How does data science differ from traditional data analysis?

17. Q What is the scope of data science in business?

18. Q Why is data science important in modern business environments?