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    3. Top Tools You’ll Learn in the IBM Data Analyst Professional Certificate [VIDEO]

    Top Tools You’ll Learn in the IBM Data Analyst Professional Certificate [VIDEO]

    Written by Coursera Staff • Updated on Apr 11, 2025
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    Want to become a data pro and stand out in the job market? The IBM Data Analyst Professional Certificate on Coursera equips you with the industry-standard tools you need to succeed!


    [Video thumbnail] Top Tools You’ll Learn in the IBM Data Analyst Professional Certificate

    Want to become a data pro and stand out in the job market? The IBM Data Analyst Professional Certificate on Coursera equips you with the industry-standard tools you need to succeed! Master the following tools and transform your data skills:

    • Python: Use powerful libraries like Pandas and NumPy to clean, analyze, and manipulate data efficiently.

    • Excel: Go beyond the basics and create dynamic visualizations, pivot tables, and impactful dashboards.

    • IBM Cognos Analytics:

      Build professional-grade interactive dashboards and reports to showcase your insights.

    This certificate empowers you to manage, analyze, and visualize data in any industry!

    IBM

    professional certificate

    IBM Data Analyst

    Prepare for a career as a data analyst. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required.

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    Average time: 4 month(s)

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    Skills you'll build:

    Generative AI, Data Generation, Data Analysis, Querying Databases, Data Augmenting, Pandas, Data Science, Jupyter notebooks, Python Programming, Numpy, Dashboards and Charts, Matplotlib, Data Visualization, dash, Exploratory Data Analysis, Dashboard Creation, Data Wrangling, Data Collection, Predictive Modelling, Model Selection, IBM Cognos Analytics, Dashboard, Microsoft Excel, Spreadsheet Software, Spreadsheet, Pivot Table, Databases, Data Management, SQL, Relational Database Management System (RDBMS), Cloud Databases, Planning, Business Communication, Business Analysis, Human Resources, Communication

    Updated on Apr 11, 2025
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    Coursera Staff

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    Coursera’s editorial team is comprised of highly experienced professional editors, writers, and fact...

    This content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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