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Applied Tags : data analysis

  • Course
    7,250 Learners

    Learn data importing and exporting, data exploration, data cleaning and preprocessing, data visualization, and statistical analysis using libraries such as Numpy, Pandas, Matplotlib, etc. From Industry Experts

  • E

    Topic
    26 Concepts | 10 Questions | 17 Assessments | 180 Learners

    Data analysis is a process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, drawing conclusions, and supporting decision-making.

    The steps to perform Data Analysis depends on the end goal we want to pursue such as to drive business decisions, evaluate performance, for making predictions, etc.

    In this tutorial, we will perform Data Analysis with the end goal of feeding the data to a Machine Learning model i.e for making predictions.

    This is a beginner-friendly end-to-end project for Data Analysis. The only prerequisite of the project is to know Python. Other than it, everything …

    Instructor: Shubh Tripathi