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DATA SCINCE.pptx
- 1. DATA SCINCE Individual Presentation M. Hadeed BSF2103180
- 2. What is data science…. • Collect the data analysis the data and generate report…. • Convert raw data into meaning full insights…. That helps to decision making easily… • PARTS: • Collect • Analyze • Insights
- 3. DATA SCIETIST • Understand and Explain the phenomena around them and help organization to make decision • Is a person who convert the raw data in to meaning full form that help the man to take decision • Now the coming days data scientist have a great career • It’s the most popular skill job in the coming days.
- 4. EXAMPLE: • (Student result data send to you it a row data) than you ask that • (50% student pass 50% fail… it a meaning full insight) • (That you take decision what to do for increase passing ratio) • Then Subject ratio….. • Rasturant • About product sale in market
- 5. Why we Need It • 15 to 20 years later data store in excel…… data mostly 200, 300 row that easily perceive and take decision easily.. • 1990s Then internet comes . • Big company who know the knowledge of technologies use it mostly people can’t use this. • Then Facebook, YouTube, Instagram, snapchat comes those force people to use internet(Anyone use this without deeply knowledge of this) • automatically people increase then data increase ……. Million billion even trillions of rows that not possible analysis …
- 6. Foot print • (People interact with computer generate data) • Refers to the trail of data you leave when using the internet. • It includes websites you visit, emails you send, and information you submit online. A digital footprint can be used to track a person's online activities and devices. • (TIKTOK VEDIOS, AUTO CORRECT OPTION) • Which things mostly like by user.
- 7. STEPS TO LEARN DATA SCIENCE 1-LANGUAGES: • Python • BASICS (LOOPS, how to define variable,data types) • Libraries • Numpy • Pandas • manipulation and preprocessing. • R • (R is another programming language specifically designed for statistical analysis and data visualization)
- 8. STEPS TO LEARN DATA SCIENCE 2-LEARN STATISTICS: • Basic of statistics • Study in 11th 12th (ICS) • To get average of the data • For example : • What the videos that like mostly people (MODE) • Mean, median, mode, S.D, Var ().
- 9. STEPS TO LEARN DATA SCIENCE • 3-DATA VISUALISATION: • Visualize data in Graph, Table, charts. • Easily perceive with diagram • For this work two libraries in python • Matplotib • Seaborn
- 10. STEPS TO LEARN DATA SCIENCE • 4-MACHINE LEARNING: • Basic algorithm. • Machine learning is a subfield of artificial intelligence (AI) • Focuses on the development of algorithms and statistical models • That enable computers to learn and make predictions or decisions without being explicitly programmed to do so
- 11. STEPS TO LEARN DATA SCIENCE • PROJECTS: • DO AND UNDERSTAND. • Website for Projects (Kaggle)
- 12. TOOLS For this which tool you use don’t matter () • Apache • Bigspark • Hadoop