What is Data science and how does it works- Tutorial, Jobs and Applications
- 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 T javaTpoint
- 4. T javaTpoint 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
- 5. T javaTpoint 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?
- 6. T javaTpoint Math & Statistics Team Player Skill Communica -tion Skill Coding & Programming Skills
- 7. T javaTpoint 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
- 8. T javaTpoint 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 T javaTpoint
- 10. T javaTpoint 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
- 12. T javaTpoint THANK YOU Do you have any questions? Contact us: hr@javatpoint.com (+91) 9599321147 https://training.javatpoint.com/data-science-training