Data Science and Data Visualization (All about Data Analysis) by Pooja Ajmera
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- 1. DATA SCIENCE AND DATA VISUALIZATION BY:- GROUP 3
- 3. Overview of Data Science • Data science is, in general terms, the extraction of knowledge from collection of data. • Its emphasis is on “statistical methods at large for collecting, analyzing, modelling” data and its applications.
- 4. Data science is therefore used in applications like:- Statistical Learning Data Processing, Development And Management Of Databases Data Warehousing Data Mining
- 6. DATA MINING • Data mining software is one of a number of analytical tools for analyzing data. • It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. • It enables these companies to determine relationships among "internal" factors and "external" factors.
- 7. Data warehousing • Data warehousing can be said to be the process of centralizing or aggregating data from multiple sources into one common repository. • It is basically excluding data that are useful in decision support process
- 8. • The process of data mining consists of three stages: • (1) The Initial Exploration, • (2) Pattern Identification • (3) Deployment
- 11. • Statistical learning refers to a set of tools for modeling and understanding complex datasets. • It blends with parallel developments in computer science and in particular machine learning.
- 12. • Pattern recognition is one aspect of artificial intelligence. • One learn to distinguish patterns of interest, • To make reasonable decisions about the categories of the patterns
- 13. • Regression example: plot of 10 sample points for the input variable x along with the corresponding target variable t. • Green curve is the true function that generated the data.
- 14. Polynomial curve fitting: plots of polynomials having various orders, shown as red curves, fitted to the set of 10 sample points
- 15. Polynomial curve fitting: plots of 9’th order polynomials fitted to 15 and 100 sample points.
- 17. BAR CHART PIE CHART HORIZONTAL BARS SIDE-BY-SIDE CHART TREND LINE TEXT TABLES CIRCLES VIEW AREA CHARTS SCATTER PLOTS PACKED BUBBLES
- 18. Why To Use Data Visualizations? • ANALYSING • SUPPORT THE STORY • TELL STORY
- 19. Tools help us to See TRENDS CORRELATIONS PATTERNS
- 24. Big Data (Data Visualization’s Best friend) • Big Data is an ocean of structured and unstructured data which is too and large and complex to process. • This data is used to reveal patterns, trends and associations.
- 27. TREEMAPS SCATTER PLOT GANTT CHART STEAM GRAPH DATA VISUALIZATION
- 28. Application of Big Data Visualization Healthcare E-commerce Government
- 30. E-Commerce E-commerce companies use Big data in two different ways: •Real-time Analysis •Past Behavior of Customer
- 32. Data Science In Neuroscience
- 33. Use Of Data Science: Medical Informatics Biological Sciences Health Care Social Sciences Humanities
- 34. Neuroinformatics • Data science in neuroscience- Neuroinformatics. • What is neuroinformatics?
- 35. Thunder tool • Developed at the Howard Hughes Medical Institute’s Janelia research campus. • Built on Apache Spark Platform. • Open-source software . • Runs on Amazon's cloud computing services. • Distributed computing. • Speeds the analysis of large data sets . • Analyze highly-detailed images of the brains.
- 36. THANK YOU!!!