Integrating Data Science tools with MicroStratergy

Duration: Hours

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    Training Mode: Online

    Description

    MicroStratergy’s flagship platform contains multiple features designed to help enterprises make data-driven decisions and optimize business processes. Familiarize yourself with data science tools, such as Jupyter Notebook and mstrio-py. Explore MicroStrategy visualizations and how they can help you understand data distributions and trends. Integrate R, Python, and MicroStrategy for a complete data science toolkit. Learn Python basics, and improve your data in MicroStrategy and with Python code.

    1. Products Covered

    a). MicroStrategy Web

    b). Mstrio-py package

    2. Skills Gained of MicroStratergy

    a). Install Jupyter Notebook in a Python virtual environment

    b). Connect to your MicroStrategy environment using mstrio-py

    c). Analyze date with histograms, box plots, and line charts

    d). Trend analysis with data science

    e). Working with Python code in Jupyter Notebook

    f). Improving data quality and structure of data science

    g). Retrieve and add data to MicroStrategy using mstrio-py in Jupyter Notebook

    3. Topics Covered

    a). Integrating data science tools

    b). Blending skills to enhance insights

    c). Exploring data with visualizations

    d). Using code to conduct data science

    e). Improving data for analysis

     

    For more inputs on Integrating Data Science tools with MicroStratergy you can connect here.
    Contact the L&D Specialist at Locus IT

    Locus Academy has more than a decade experience in delivering the training/staffing on MicroStratergy for corporates across the globe. The participants for the training/staffing on MicroStratergy are extremely satisfied and are able to implement the learnings in their on going projects.

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    MicroStratergy flagship platform contains multiple features designed to help enterprises make data-driven decisions and optimize business processes. MicroStrategy’s reporting capabilities leveraged in conjunction with these¬†ETL tools¬†allow for automated end-to-end transformation of disparate corporate data stores into insights.

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