Data Science Seminar ppt for acedemics.pptx

all about the basic data science

1. Shri Ramswaroop Memorial University Lucknow – Deva Road, Barabanki (UP) Department of Computer Science & Information Systems UCS3701SM Seminar- 1 BCA(DS+AI) Submitted To: Submitted By: Name:- Anand Singh Roll no: 202410101360090 Name : Divyanshu Singh Roll no : 202410101360091 Name:- Uday Pratap Singh Roll no: 202410101360092 Ms. Deepa Kaushik

2. 04 C ONTENTS 01 DATA SCIENCE & ITS IMP 02 LIFE CYCLE AND TOOLS 03 APPLICATION AND ITS FUTURE CONCLUSION

3. 04 C ONTENTS 01 DATA SCIENCE & ITS IMP 02 Compo- nent AND TOOLS 03 APPLICATION AND ITS FUTURE C ONCLUDE

4. DATA SCIENCE & ITS IMPORTANCE Study of data to extract meaningful insights. Better Decision Making Innovation: Powers new products and services . (e.g. self-driving cars). Predictive Analytics: Foresees future trends and outcomes.

5. KEY COMPONENT 01 02 03 04 05 06 Data Collection Data Cleaning & Preprocessing Exploratory Data Analysis Modeling Evaluation Deployment & Monitoring

6. 1 Recommendation Systems: Netflix, Amazon USES 2 Fraud Detection: Banking, E-commerce USES 3 Healthcare: Medical disease prediction USES 4 Self-Driving Cars: Navigation, safety USES

7. Growth Of Data

8. Future Trends and Scope in Data Science :

9. Challenges in Data Science 1. Data Quality Issues : Incomplete, inconsistent, or noisy data can lead to poor model performance . 2 . Data Privacy and Security : Handling sensitive data (like health or financial records) requires strict security measures . 3 . Lack of Domain Knowledge : Without understanding the business or domain, insights may be irrelevant. 4 . Rapidly Changing Tools and Techniques : Data science tools and best practices evolve quickly — constant learning is needed.

10. THANKS