Data Science

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

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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