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

4.7
stars
1,258 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

SL

Nov 8, 2021

This is a great course. I learned so much about data science. I appreciate all the help I received. I would not have finished the course without the help of my fellow students and the staff. Thank you

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.

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151 - 175 of 202 Reviews for IBM Data Analyst Capstone Project

By mehmet o

•

Nov 11, 2023

GREAT

By DARASHENKA D

•

Mar 12, 2023

super

By Daesun R

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Jul 18, 2022

gopod

By Dorji L

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Sep 6, 2021

grate

By jordan m

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Sep 2, 2021

great

By Manpreet K

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Oct 11, 2024

good

By Tân H

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Jul 6, 2024

Good

By Shadmanov S

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Jun 30, 2024

GOOD

By Saleh k A

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Jun 18, 2024

good

By Dilfuza T

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Jun 15, 2024

GOOD

By Xolmatov A

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Jun 14, 2024

good

By Hanzala h

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Jun 8, 2024

BEST

By Dior R

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Jun 6, 2024

good

By Абдуманонова А

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Jun 6, 2024

GOOD

By Norboyeva A A q

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May 29, 2024

good

By Amirillayeva I S q

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May 28, 2024

good

By Raxmatjonov X

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May 28, 2024

good

By Mardiev A U

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May 26, 2024

good

By ELMUROD B A O

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May 16, 2024

Good

By Nguyen V T F

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Jul 23, 2023

Good

By Sanjib S

•

Apr 11, 2023

nice

By André J A

•

Nov 10, 2021

exc

By Helena R

•

Jul 2, 2022

Overall course was great. Challenges mainly with accessing licences and credentials ( Databases & SQL). when communication becomes crossed because of untimely responses resulting in re-forwarding of same information (time) . and when questions are not answered with specicity and preciseness. At two points, I felt like quitting and became overwhelmed but the splashed course note kept saying that I was doing great. I feared. Otherwise, though, the content, flow and general guidance during the course appreciated.

By Isaiah B

•

Jul 27, 2022

The assignments in this course are a great way to get exposure to data analytic techniques used today. A few of the courses final projects were challenging yet rewarding. My only complaint with this whole certificate is IBM Clouds software. I had more trouble trying to use the website they provided than I did with any of the assignments. Im sure this can be fixed with a few updates. All in all a great certificate and worth doing