This video on Data Science is a full course compilation that will help you gain all the concepts, techniques, and algorithms involved in data science. Python and R are the primary programming languages used for data science.

**Data Science Full Course | Data Science For Beginners | Learn Data Science In 10 Hours**

Here, you will *understand *the *basics *of **data science**, such as ** data munging, data mining,** and

You will get an idea about the salary, skills, jobs, and resume of a data scientist (9:00:04).

Finally, you will *learn *about the important ** data science interview questions** (9:04:42) that would help you crack any

**Below topics are explained in this Data Science tutorial:**

1. Data Science basics (01:28)

2. What is Data Science (05:51)

3. Need for Data Science (06:38)

4. Business intelligence vs Data Science (17:30)

5. Prerequisites for Data Science (22:31)

6. What does a Data Scientist do? (30:23)

7. Demand for Data Scientist (53:03)

8. Linear regression (2:30:10)

9. Decision trees (2:53:39)

10. Logistic regression in R (3:09:12)

11. What is a decision tree? (3:27:04)

12. What is clustering? (4:35:40)

13. Divisive clustering (4:51:14)

14. Support vector machine (5:17:21)

15. K-means clustering 96:44:13)

16. Time series analysis (7:33:05)

17. How to become a Data Scientist (8:26:54)

18. Job roles in Data Science (8:30:59)

19. Simplilearn certifications in Data Science (8:33:50)

20. Who is a Data Science engineer? (8:34:34)

21. Data Science engineer resume (9:00:04)

22. Data Science interview questions and answers (9:04:42)

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Python has been the go-to choice for Machine Learning, Data Science and Artificial Intelligence developers for a long time. Python libraries for modern machine learning models & projects: TensorFlow; Numpy; Scipy; Scikit-learn; Theano; Keras; PyTorch; Pandas; Matplotlib; ...

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