Data Analysis with Python

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What Will You Learn?

  • 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

Course Content

Module 1: Importing Data Sets

  • Course Introduction
    00:00
  • Understanding the Data
    00:00
  • Python Packages for Data Science
    00:00
  • Importing and Exporting Data in Python
    00:00
  • Getting Started Analyzing Data in Python
    00:00
  • Accessing Databases with Python
    00:00

1 reading

2 assignments

2 app items

2 plugins

Module 2: Data Wrangling

1 reading

2 assignments

2 app items

1 plugin

Module 3: Exploratory Data Analysis

1 reading

2 assignments

2 app items

2 plugins

Module 4: Model Development

1 reading

2 assignments

2 app items

1 plugin

Module 5: Model Evaluation and Refinement

1 reading

2 assignments

2 app items

2 plugins

Module 6: final Assignment

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