Data Analysis with python required step by step understanding of concepts that begins with idea of python language . In python idea of fundamental tools like loop, if else,array data types like list, array and disctionary will be discussed with problem solving .
concept of packages to be used like numpy, pandas, matplotlib, seaborn , sklearn which are to be used in data analisys will be discussed first.
1. statistical functions like anova, Ttest , zscore etc.
2. Concept of Outlier and how to handle it .
3. Data Visualization
4. EDA with python with csv files and excel files .
5. Descriptive Data Analysis with python functions and packages .
6. data mining concept
7. supervised and unsupervised Algorithms explanation with examples .
8. implementation of predictictive Analysis algorithms
9. concept of Time Series with real life examples .
10. Example of Prescritive Analysis ..
11. Deep learning . extensive neural network concept discussion along with projects .
12. audio file analysis with example
Every concept is discussed with extensive examples.
students are advised to install Anaconda .