Overview:
after this course you will be able to go into data analytics field.Python is a programming language that data analysts use to clean, manipulate, analyze, and visualize data. It's popular because it's easy to use and has many libraries.
What can Python do for data analysis?
Perform statistical analysis on large datasets
Extract data from databases and websites using SQL queries and web-scraping
Create data visualizations to tell stories
Python libraries for data analysis
Pandas, Matplotlib, Seaborn, Scikit-learn, Statsmodels, SciPy, Plotly, and TensorFlow and PyTorch.
Who uses Python for data analysis? Data analysts, Data scientists, Data engineers, Software engineers, and Business analysts.
Other uses of Python Artificial intelligence (AI), API development, Internet of Things (IoT), Web development, and Machine learning.
Learning Python for data analysis
This includes following
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30 Videos
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15 Chapter
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Duration:8 Month
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8 hour
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Certificate : Yes
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