Data Science For Beginners | Introduction to Data Science from Scratch | Data Science | Simplilearn

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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:

0. Introduction
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

To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/Simplilearn?sub_confirmation=1

Download Datasets: https://drive.google.com/drive/folders/1oa_hIIb4dnRpzjmeaDTwFtHp7n22yc21

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➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

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