Data science is the study of data to extract meaningful insights for business. Data science uses the most powerful hardware, programming systems, and most efficient algorithms to solve data-related problems. It is the future of artificial intelligence.
2. 12. Iterative
Process
1. Data
Collection
10. Monitoring &
Maintaninance
2. Data
Cleaning &
Preprocess
5. Model
Building
9. Deployment
11. Interpretation
& Communication
8. Model
Tuning
3. EDA
4. Feature
Engineering
6. Training
& Testing
7. Model
Evaluation
Data Science
Life Cycle
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What is
Data
Science?
Needs of
Data
Science
Prerequisite
of Data
Science
Solving
Problem
With Data
Science
Data
Science
Tools
Data
Science
Jobs
Data
Science
Application
Data Science Tutorial
https://training.javatpoint.com/data-science-training
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Data science is the art of using data to solve real-world
problems and make informed decisions by analyzing and
interpreting information from various sources.
What is Data Science?
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Technical Non-Technical
Prerequisite For Data Science
2. Critical Thinking
3. Communication Skills
1. Curiosity 1. Machine Learning
2. Mathematical Modeling
3. Statistics
4. Computer Programming
5. Database
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Is this different?
Is this A or B? Classification Algorithm
Anomaly detection Algorithm
How much or How many? Regression Algorithm
Clustering Algorithm
How is this organized
What should I do next? Reinforcement Learning
Possible Questions Applicable Algorithms
Solving Problems in Data Science with ML
9. Data Science
Tools
• Data Analysis tools
• Data Warehousing
• Data Visualization
• Machine Learning Tools
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2. Data Analyst
1. Data Scientist
3. Machine Learning Expert
4. Data Engineer
5. Data Architect
6. Data Administrator
7. Business Analyst
8. Business Intelligence Manager
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THANK YOU
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hr@javatpoint.com
(+91) 9599321147
https://training.javatpoint.com/data-science-training
