Introduction to Python Data Analytics.pdf
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Introduction to Python Data Analytics.pdf
- 1. Introduction to Data Analytics & ML using Python Dr.S.M.Badhusha Sr.Professor/CSE, AIET, Mijar,Mangalore
- 2. Data analytics is the process and methodology of analyzing data to draw meaningful insight from the data
- 3. Typical Process of Data Analytics
- 4. Types of Data Analytics
- 5. Confusion – Data Analysis Vs. Data Analytics They’re often used interchangeably, but technically speaking...
- 6. Confusion – Big Data vs. Data Analytics
- 7. Confusion – Artificial Intelligence vs. Data Analytics
- 8. What is Data Science? Data science is a multidisciplinary blend of data inference, algorithmic development, and technology in order to solve analytically complex problems.
- 10. Python as a Programming Language Python is a general-purposed high-level programming language Web development Networking Scientific computing Data analytics
- 11. The nature of Python makes it a perfect-fit for data analytics Easy to learn Readable Scalable Extensive set of libraries Easy integration with other apps Active community
- 12. Popular data analytics libraries in Python
- 13. Typical Python data analytics process performed in this workshop.. 1. Python basic Programming 2. Identify the dataset of interest from a file/database/web 3. Load the dataset into a Pandas dataframe 4. Check the column names and see the first few rows 5. Derive additional columns if needed and handle missing data 6. Do analysis with visualization or apply logistic Regression analysis
- 14. REFERENCES https://www.wikipedia.org/ Python for Data Analysis by Wes McKinney, Orielly publications https://uiowa.edu/datascience/resources