Introduction to Data Science: Understanding the Basic Concepts & Terminology

Table of Contents

Whilst this article can be read in order, it may also be useful as a reference for a particular term/concept. For ease of navigation, a table of contents is presented below:

1. Data
2. Data science
3. Data Analysis
4. Dataset
5. Data-driven decision making
6. Relationship
7. Data cleaning/manipulation
8. Data storage
9. Data source
10. Data exploration
11. Data visualization
12. Data Lake
13. Metric
14. Modeling
15. Correlation
16. Database
17. Spreadsheet
18. Variable /Feature
19. Big data
20. Data ethics
21. Deployment
22. Data mining
23. Bias
24. Statistics
25. Machine Learning
26. SQL
27. Python
28. Pandas
29. R
30. Hypothesis
31. Outlier
32. Normal distribution
33. Algorithm
34. Github repository
35. Regression
36. Jupyter Notebooks

Basic Data Science Concepts & Terminology

1. Data
   Facts and statistics collected together for analysis[1].

2. Data science

3. Data Analysis

4. Dataset

5. Data-driven decision making

6. Relationship

7. Data cleaning/manipulation

8. Data storage

9. Data source

10. Data exploration

11. Data visualization

12. Data Lake

13. Metric

14. Modeling

15. Correlation

16. Database

17. Spreadsheet

18. Variable /Feature

19. Big data

20. Data ethics

21. Deployment

22. Data mining

23. Bias

24. Statistics

25. Machine Learning

26. SQL
    Acronym for Structured Query Language(pronounced "SEQUEL").

27. Python

28. Pandas

29. R

30. Hypothesis

31. Outlier

32. Normal distribution

33. Algorithm

34. Github repository

35. Regression

36. Jupyter Notebooks

Conclusion

References

Cover Image by Gia Oris from Unsplash

1. Oxford Languages