What you would learn in Learn Python for Data Analysis and Visualization course?
This course will provide the necessary tools to understand Python and use it effectively to visualize and analyze data. Get started with Data Science!
Data Science involves a mix of algorithms, tools, and machine-learning principles to uncover hidden patterns in raw data. How does this differ from the way statisticians have worked for decades? We will go over the various aspects of this to help the most of your knowledge.
You'll gain complete knowledge of how to program using Python and how to make use of it with other scientific computing modules and libraries to analyze data.
You also have lifetime access to more than 100 code notebooks in Python, new and up-to-date videos, and the possibility of future updates to various projects for data analysis that you can utilize for your portfolio to show potential employers!
After this course, you'll:
Know the programming language Python.
We will begin python entirely from scratch, as with all loops, data types, and functions.
Learn to make and manipulate arrays with the NumPy programming language and Python.
Know how to utilize pandas to build and analyze data sets.
Learn to use matplotlib and Seaborn library to make stunning data visualization.
A stunning portfolio of sample Python projects for data analysis!
Know the basics about Machine Learning and SciKit Learn!
You will be able to learn Python from scratch.
Make use of to use the Jupyter Notebook Environment
Use the NumPy library to make and modify arrays.
Use the panda's module of Python to design and organize data.
Create data visualizations with matplotlib, the seaborn module, and using Python.
A portfolio of different analyses of data.
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