Capstone Project: Analyzing and Visualizing Data
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Course
Capstone Project: Analyzing and Visualizing Data
Showcase your data analytics skills and sharpen your resume with this real-world capstone project. Catch the eye of employers and get practical experience you can talk about in interviews.
Self-Paced
Mentored
Advanced
Duration
Employers look for practical experience on a resume. If youre an aspiring data scientist, data analyst, or other data professional, you need hands-on examples of your skills to catch their eye. This capstone project allows you to hone your data analytics skills and techniques through a real-world challenge you can include in your portfolio and discuss in interviews.
As you work through the project, you'll use a wide range of in-demand data analysis skills, including using Jupyter Notebooks, SQL, relational databases (RDBMS), business intelligence (BI) tools like Cognos, and Python libraries, such as Pandas, Numpy, Scikit-learn, Scipy, Matplotlib, and Seaborn.
Then, at the end of the project, youll present a data analysis report to the key stakeholders in the fictional company. Your report will feature an executive summary, a detailed analysis, and a conclusion.
Once youve successfully completed the course, youll have an impressive project to add to your job portfolio.
Enroll today and get ready to add valuable practical experience to your resume that employers look for!
This course comprises five purposely designed modules that take you on a carefully defined learning journey.
It is a self-paced course, which means it is not run to a fixed schedule with regard to completing modules. It is anticipated that you will complete the course in 27 hours. However, as long as the course is completed by the end of your enrollment, you can work at your own pace. And dont worry, youre not alone! You will be encouraged to stay connected with your learning community through the course discussion space.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include discussion space, videos, reading material, quizzes, hands-on labs, quizzes and final assignment.
Once you have successfully completed the course, you will earn your IBM Certificate.
You will be able to:
- Use diverse techniques to gather and process data.
- Display your data analysis and visualization expertise.
- Produce a data analysis report and engaging presentation.
- Show mastery of various Python libraries.
- Aspiring Data Analysts / Data Scientists.
- Professionals transitioning into data roles.
- Job seekers needing a real-world data project to showcase.
- Learners whove completed basic data courses and want to apply skills in a capstone project.
- We recommend that you complete the Analyzing Data with Python course and Python Basics for Data Science course before starting this one.
Course Outline
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
This Python data analysis project course allows you to apply your Python, SQL, and data analysis skills to a real-world scenario. Youll analyze and visualize data, build dashboards, and prepare a comprehensive report that you can showcase in your professional portfolio.
Python is used to manipulate, analyze, and visualize data. In this course, youll use Python libraries such as Pandas, Numpy, Scikit-learn, Matplotlib, and Seaborn to explore datasets, perform exploratory analysis, and create actionable insights.
Youll gain hands-on experience in data collection, data wrangling, exploratory data analysis, visualization, and dashboard creation. Youll also learn how to present insights effectively through a professional data analysis report.
Youll work with Jupyter Notebooks, SQL, RDBMS, Python libraries (Pandas, Numpy, Scikit-learn, Scipy, Matplotlib, Seaborn), and BI tools like Cognos.
Unlike standard courses, this is a hands-on data analysis project using Python. Youll work on a complete workflow from data collection to dashboarding and reporting, producing a tangible project for your portfolio.
The course is structured as a focused capstone experience. While individual completion time varies, learners typically complete the project in a few weeks depending on pace and prior experience.
Yes, youll receive a certificate upon successful completion, highlighting your accomplishment in completing real-world Python projects for data analysis.
Absolutely. The course is designed to produce a tangible Python data analysis project that you can showcase to prospective employers.
Employers value practical experience. You can discuss your project workflow, Python libraries used, and the insights you generated, demonstrating both technical and analytical skills.
Its recommended to complete prior courses such as Analyzing Data with Python and Python Basics for Data Science before taking this course. Familiarity with Python and basic data manipulation will be advantageous.
This is an intermediate-level capstone. Beginners should first complete foundational Python and data analysis courses to get the most out of this project.
Youll work with realistic datasets that simulate business scenarios, covering aspects such as sales performance, customer analytics, and operational KPIs.
Yes, the project is modeled on a real-world business scenario. Youll analyze data, build dashboards, and present your findings to stakeholders in a simulated professional setting.
Youll produce a complete data analysis report featuring an executive summary, detailed analysis, visualizations, and actionable recommendations, plus an interactive dashboard presentation.
Yes, course content remains available for review, allowing you to revisit techniques, datasets, and guidance for your portfolio.
Yes, this Python project for data analysis course provides extensive hands-on practice in data wrangling, exploratory data analysis, and creating visualizations using Python libraries and BI tools like Cognos.
Yes, step-by-step instructions and best practices for Pandas, Matplotlib, Seaborn, and other libraries are included throughout the project.
The course is designed as a project-based learning experience. Learners can complete the modules at their own pace, using provided datasets, notebooks, and instructions.
Course Offering
Type of certificate
IBM Certificate
About this course
05 Modules
05 Skills
Includes
Discussion space
33 Hands-on labs
04 Quizzes
01 Final project
Create
Report
PowerPoint
Exercises to explore
Watson Studio
Webscraping
Data Wrangling
Exploratory Data Analysis
Data Visualization
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