Data Analytics with SQL, Tableau & Python
Analyzing Data with Python
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!

What you'll learn
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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 the following parts:

Data Analysis libraries: will learn to use Pandas DataFrames, Numpy multi-dimensional arrays, and SciPy libraries to work with 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, sci-kit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.

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Cost: GHC500.00

Duration: 6 Sessions

Start Date: 24th July 2021

For any additional information please call 0548288182
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