Data Analyst Projects | Cleaning and Exploring Data with Python | Part 3

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In this video, we go through Python to import data from both Excel and CSV files. We also learned how to clean data and make it ready for analytics. And then last, we explore the imported data with pandas, NumPy, matplotlib, and seaborn for insights.

--LINKS TO THE FIRST TWO PARTS OF THE SERIES

--LINKS TO DATA SOURCE--

Access the Code used in the demo from my GitHub repository with the links below

Cleaning Data:

Exploring Data:

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Timestamps:
00:00 Intro
00:31 Installing Anaconda
02:21 Cleaning Data with SQL - Importing Libraries
03:40 Getting Data
06:17 Removing Nulls
08:45 Slicing Data from Series
16:28 Replacing Specific Values
19:35 Appending Data to a Dataframe
21:38 Exporting Data to CSV
23:58 Exploring Data with Python
35:26 Categorical Variables - UniVariate
39:40 Categorical Variables - BiVariate
43:30 Numerical Variables - Discrete
45:14 Outliers
48:04 Distribution Plot - Skewness and Kurtosis
48:37 Correlation
52:25 Outro

#DataAnalytics #PythonDataAnalysis #Python

[myha]

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[psf]

What an excellent project! You are truly talented! Thanks for sharing your knowledge!

[dunni]

Thank you so much, I love the way you explain

[mdchannels]

Thanks for a Great Great Project. Really it's a very interesting Project 🤍