Installation of python, anaconda. Difference between data analyst and data scientist and the various technologies/domain they work with.
- Creating array
- Array Data Types
- Manipulating array shapes
- Stacking of numpy arrays
- Partioning numpy arrays
- Numpy views and copies
- Slicing and Indexing
- Broadcasting Arrays
- Creating dataframes
- Creating series
- Reading data using Quandl
- Grouping and joining in Dataframes
- Working with missing values
- Creating pivot tables
- Dealing with dates
- Types of attributes
- Measuring central tendency
- Measuring dispersion
- Skewness and kurtosis
- Covariance and correlation
- Parametric and non-parametric tests