TT
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.

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.

TT
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.
QC
The final exam requires time and efforts to complete, yet it worths to demonstrate your skills. Highly recommeneded!
IR
The course is great and the tools used in this course are those widely used by data analysts in real life.
MK
A good beginner friendly course in data analysis. Using the jupyter notebook was easier than going over to some websites to open the same jupyter notebook.
CB
Very good course. Some hiccups with IBM tokens. Very good interaction with Staff when problems are encountered
MH
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.
SN
Amazing course very helpful for those who needs to polish their skills and trying to landing their career in field of Data
EO
The capstone contains content that are not discussed on previous courses. I hope you will improve this later on.
SL
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
S
Instructor explained concepts clearly, assignments practical, learning outcomes achieved successfully.
RP
Data Visualization with Python Course must be used on a certain date so that it is quite distracting to the completion target of participants
KP
The course needs to be update. Students today are having the same issues as students in the past. Some sections need more detailed instructions for clarity.