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Learner Reviews & Feedback for IBM Data Analyst Capstone Project by IBM

4.6
stars
1,306 ratings

About the Course

In an increasingly data-centric world, the ability to derive meaningful insights from raw data is essential. The IBM Data Analyst Capstone Project gives you the opportunity to apply the skills and techniques learned throughout the IBM Data Analyst Professional Certificate. Working with actual datasets, you will carry out tasks commonly performed by professional data analysts, such as data collection from multiple sources, data wrangling, exploratory analysis, statistical analysis, data visualization, and creating interactive dashboards. Your final deliverable will include a comprehensive data analysis report, complete with an executive summary, detailed insights, and a conclusion for organizational stakeholders. Throughout the project, you will demonstrate your proficiency in tools such as Jupyter Notebooks, SQL, Relational Databases (RDBMS), and Business Intelligence (BI) tools like IBM Cognos Analytics. You will also apply Python libraries, including Pandas, Numpy, Scikit-learn, Scipy, Matplotlib, and Seaborn. We recommend completing the previous courses in the Professional Certificate before starting this capstone project, as it integrates all key concepts and techniques into a single, real-world scenario....

Top reviews

TT

Sep 27, 2021

Great. I practiced data visualization on IBM's Cognos Analytics software. It's a great piece of software. I then learned how to make a presentation to present the results of the analysis.

MH

Jul 13, 2021

I love its video and reading materials, thank you all for making such course, i can definitely make a career out of it, i just recommend you all to give you time in this course.

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By Farruhbek A

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Aug 20, 2025

Ajoyib

By Andre T

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Apr 9, 2022

Great.

By H矛nh K T

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Sep 24, 2025

Great

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Apr 12, 2025

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May 27, 2024

gfood

By mehmet o

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Nov 12, 2023

GREAT

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Mar 12, 2023

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Jul 18, 2022

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By Dorji L

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Sep 6, 2021

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Sep 2, 2021

great

By Manpreet K

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Oct 11, 2024

good

By T芒n H

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Jul 6, 2024

Good

By Shadmanov S

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Jun 30, 2024

GOOD

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Jun 18, 2024

good

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Jun 15, 2024

GOOD

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Jun 14, 2024

good

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Jun 9, 2024

BEST

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Jun 6, 2024

good

By 袗斜写褍屑邪薪芯薪芯胁邪 袗

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Jun 6, 2024

GOOD

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May 29, 2024

good

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May 29, 2024

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May 28, 2024

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May 27, 2024

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May 17, 2024

Good