Brief Introduction
In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn!
Description
LEARN TO ANALYZE DATA WITH PYTHON
Learn how to analyze data using Python in this introductory course. You will go from understanding the basics of Python to exploring many different types of data through lecture, hands-on labs, and assignments. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!
Knowledge
- You will learn how to: __
- How to import data sets, clean and prepare data for analysis, summarize data, and build data pipelines
- Use Pandas DataFrames, Numpy multidimensional arrays, and SciPy libraries to work with various datasets
- Load, manipulate, analyze, and visualize datasets with pandas, an open-source library
- Build machine-learning models and make predictions with scikit-learn, another open-source library
- It includes following parts:
- Data Analysis libraries: will learn to use Pandas DataFrames, Numpy multi-dimentional arrays, and SciPy libraries to work with a various datasets. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.
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