Data Analysis with Python
See CertificationLearned
- Develop Python code for cleaning and preparing data for analysis - including handling missing values, formatting, normalizing, and binning data.
- Perform exploratory data analysis and apply analytical techniques to real-word datasets using libraries such as Pandas, Numpy and Scipy.
- Manipulate data using dataframes, summarize data, understand data distribution, perform correlation and create data pipelines.
- Build and evaluate regression models using machine learning scikit-learn library and use them for prediction and decision making