Data Analysis With Python

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About Course

About Data Analysis With Python

Learn Data Analysis with Python in this comprehensive tutorial. Data Analysis has been around for a long time, but up until a few years ago, it was practiced using closed, expensive and limited tools like Excel or Tableau. Python, SQL and other open libraries have changed Data Analysis forever.

In these lectures, create by Santiago Basulto from RMOTR, you will learn the whole process of Data Analysis: reading data from multiple sources (CSVs, SQL, Excel, etc), processing them using NumPy and Pandas, visualize them using Matplotlib and Seaborn and clean and process it to create reports. Additionally, we’ve included a thorough Jupyter Notebook tutorial, and a quick Python reference to refresh your programming skills.

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What Will You Learn?

  • Learner will understand the Data Analysis with Python

Course Content

Data Analysis

  • Introduction Data Analysis with Python
    10:00
  • Data Analysis Example A Data Analysis with Python
    09:20
  • Data Analysis Example B Data Analysis with Python
    10:18
  • Introduction Data Analysis with Python
  • Data Analysis Example A Data Analysis with Python
  • Data Analysis Example B Data Analysis with Python

Jupyter Notebooks

Numpy

Pandas

Data Cleaning

Reading Data

Python

Parsing HTML and Saving Data