Intro to Data Science and Preparation

Transcript

1. Introduction to Data Science and Data Preparation
2. Introduction to Data Science  as a scientific field that uses scientific methods to extract knowledge and insights from structured and unstructured data and apply knowledge and actionable insights from data across a broad range of application domains.  The main goal of data science is to extract knowledgefrom data, in other words - to understand data, find some hidden relationships and build a model.
3. Related fields Databases: data storage Big Data: large data quantities Machine Learning: developing models from existing data Artificial Intelligence: building complex models that mimic human beings Visualization: visualizing information to make sense of data
4. Data Types video feed from surveillance camera
5. Elements of Data Science Data acquisition: collecting data Data Storage: how to store and query data for future Data Processing: converting data for use Visualization: helps in understanding data and gaining insights Modelling: creating machine learning models
6. Libraries: Pandas: manipulate data in dataframes. Numpy: numerical python to work with multidimensional arrays. Matplotlib and Seaborn: used for vizualization and plotting graphs
7. Code time...
8. Follow up session: Manipulating Data Session: https://www.youtube.com/watch?v=xKIm02254SQ
9. Thank you