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Data Analysis with Python

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Learn to clean, prepare, analyze, and manipulate data with Python, utilize libraries for exploratory data analysis, and develop regression models for prediction and decision-making using scikit-learn.

Key AI Functions:Model Selection,Data Analysis,Python Programming,Data Visualization,Predictive Modelling

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Description for Data Analysis with Python

Create Python code to clean and prepare data for analysis, which includes the management of missing values, formatting, normalization, and binning.

Utilize libraries such as NumPy, Scipy, and Pandas to conduct exploratory data analysis and apply analytical techniques to real-world datasets.

Utilize dataframes to manipulate data, summarize data, comprehend data distribution, perform correlation, and establish data pipelines.

Utilize machine learning to develop and assess regression models. Utilize the scikit-learn library for the purpose of prediction and decision-making.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 22

Offered by: On Coursera provided by IBM

Duration: 15 hours (approximately)

Schedule: Flexible

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