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This Data Science Full Course Video will provide you with a learning path of Data Science in a correct manner. Filled with lots of Practical Examples this Latest Data Science Course of 2020 will cover all the below-given topics required for a complete Data Science Tutorial:
1. Data Science basics
2. What is Data Science
3. Need for Data Science
4. Business intelligence vs Data Science
5. Prerequisites for Data Science
6. What does a Data Scientist do?
7. Demand for Data Scientists
8. Linear regression
9. Decision trees
10. Logistic regression in R
11. What is a decision tree?
12. What is clustering?
13. Divisive clustering
14. Support vector machine
15. K-means clustering
16. Time series analysis
17. How to Become a Data Scientist
18. Job roles in Data Science
19. Simplilearn certifications in Data Science
20. Who is a Data Science engineer?
21. Data Science engineer resume
22. Data Science interview questions and answers
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This Data Science with Python course will establish your mastery of data science and analytics techniques using Python. With this Python for Data Science Course, you’ll learn the essential concepts of Python programming and become an expert in data analytics, machine learning, data visualization, web scraping and natural language processing. Python is a required skill for many data science positions, so jumpstart your career with this interactive, hands-on course.
Why learn Data Science?
Data Scientists are being deployed in all kinds of industries, creating a huge demand for skilled professionals. Data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientists first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand.
You can gain in-depth knowledge of Data Science by taking our Data Science with python certification training course. With Simplilearn’s Data Science certification training course, you will prepare for a career as a Data Scientist as you master all the concepts and techniques.
The Data Science with Python course is recommended for:
1. Analytics professionals who want to work with Python
2. Software professionals looking to get into the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in analytics and data science
5. Experienced professionals who would like to harness data science in their fields
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