Data Analysis Using Python

This repository consists of all the files discussed during Data Analysis using Python Online Training during 20-July-2020 to 25-July-2020

All days Recorded Video → Gdrive Link

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Day1 20-July-2020

Discussed Concepts

1. What is Data
2. What is NumPy
3. initializing NumPy arrays

Day1 Content Notebook → [.ipynb format] [.pdf format]

Day1 Discussed Slides → [Slides]

Day1_Recorded_Video

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Day-2 21-July-2020

Topics Covered

1. Different dimensional arrays creation.
2. Applying Math and Stastical methods to arrays
3. Reshaping and accessing arrays.

Day2 Content Notebook → [.pdf format]

Day2 Recorded Video

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Day3 22-July-2020

Discussed Concepts

1. Introduction of Pandas
2. Data set Creation using Series and DataFrame
3. Accessing of Dataframe elements
4. Applying stastical and Math methods on dataframe
5. viewing of the DataFrame
6. Working with external dataframes.

Day3 Content Notebook → [.pdf format]

Day3_Recorded_Video

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Day4 23-July-2020

Discussed Concepts

Data Preprocessing Using Scikit-Learn

• Introduction
• Standardizing Data
• Data Range
• Robust Scaling
• Normalizing Data
• Data Imputation

Open Source Datasets

Updated the links in resources.md

Day4 Content Notebook → [.ipynb format], [.pdf format], [Slides]

Day4_Recorded_Video

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Day5 24-July-2020

Discussed Concepts

Data Visualization using matplotlib

• Introduction
• Line Plot
• Scatter Plot
• Bar Graph
• Histogram
• Pie Chart
• Box Plot

Updated the links in resources.md

Day5 Content Notebook → [.ipynb format], [.pdf format], [Slides]

Day4_Recorded_Video