Data Management Capstone Project
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Data Management Capstone Project
This course is part of IBM Data Management Professional Certificate
Included with
Recommended experience
Recommended experience
What you'll learn
Integrate valuable applied data management skills employers need for a wide range of data-related roles in a culminating project.
Gain hands-on experience using industry-specific data tools including Excel, SQL, PostgreSQL, Tableau, etc.
Demonstrate best practices and apply those methodologies through industry-standard processes, data design, governance, security, and reporting.
Showcase your ability to solve problems relevant to working with data that you can discuss with colleagues and prospective employers.
Skills you'll gain
Tools you'll learn
Details to know
See how employees at top companies are mastering in-demand skills
Build your Data Management expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from SkillUp
There are 6 modules in this course
In this capstone course, you’ll demonstrate your ability to solve problems relevant to data-related roles, which you can then showcase in your portfolio and share with prospective employers. You will apply the skills you’ve learned throughout this data management program with this hands-on culminating project.
The project provides you the opportunity to solidify your proficiency when working with various aspects of data and integrate them into a single project. You’ll apply many industry-specific tools and industry-standard best practices to a real-world-inspired scenario. As part of this process, you utilize relational databases and SQL queries. You’ll also manipulate data using spreadsheets and BI tools to create visualizations and a dashboard to readily communicate your data insights. We recommend that you complete all the previous courses in this Professional Certificate before starting this course.
In this module, you will work with customer data and transaction data to prepare them for advanced analysis. You will begin by analyzing the data set to identify key fields and understand its structure. Next, you will clean the data by removing duplicates, handling missing values, and correcting inconsistencies using Excel. During the transformation phase, you will create new data fields and categorize information to uncover customer segments and transaction patterns. Additionally, you will focus on visualizing the data to extract actionable insights. You will use Excel’s charting tools to create bar charts, line graphs, and pie charts. To ensure all tasks are completed accurately, each lab includes a checklist, which verifies that you have completed all essential steps.
What's included
3 videos2 readings3 assignments5 plugins
3 videos•Total 15 minutes
- Course Introduction•4 minutes
- Assignment Overview: Data Cleaning & Transformation Using Excel •6 minutes
- Assignment Overview: Data Visualization Using Excel•5 minutes
2 readings•Total 7 minutes
- Course Overview•5 minutes
- Module 1 Summary: Introduction and Data Preparation and Exploratory Analysis with Excel•2 minutes
3 assignments•Total 75 minutes
- Module 1 Graded Quiz: Introduction and Data Preparation and Exploratory Analysis with Excel•15 minutes
- Checklist: Data Cleaning & Transformation Using Excel•30 minutes
- Checklist: Data Visualization Using Excel•30 minutes
5 plugins•Total 130 minutes
- Reading: Data Platform Architecture •4 minutes
- Reading: Helpful Tips for Course Completion•2 minutes
- Reading: Data Set Description•4 minutes
- Lab 1: Data Cleaning & Transformation•60 minutes
- Lab 2: Data Visualization Using Excel•60 minutes
In this module, you will design a data platform that uses MySQL as an OLTP database. You will be using MySQL to store the OLTP data.
What's included
2 videos1 reading3 assignments2 app items
2 videos•Total 6 minutes
- Assignment Overview: Data Setup Using Relational Database•3 minutes
- Assignment Overview: Data Analysis with SQL•2 minutes
1 reading•Total 2 minutes
- Module 2 Summary: Data Setup Using Relational Database (OLTP)•2 minutes
3 assignments•Total 33 minutes
- Module 2 Graded Quiz: Data Setup Using Relational Database (OLTP)•15 minutes
- Checklist: Data Setup Using Relational Database•10 minutes
- Checklist: Data Analysis with SQL•8 minutes
2 app items•Total 120 minutes
- Lab 3: Data Setup Using Relational Database•60 minutes
- Lab 4: Data Analysis with SQL•60 minutes
In this module, you will design and implement a data warehouse using the pgAdmin ERD design tool. You will then generate reports from the data in the data warehouse using cube and rollup aggregation queries.
What's included
2 videos1 reading3 assignments2 app items
2 videos•Total 6 minutes
- Assignment Overview: Data Warehouse Design & Setup•4 minutes
- Assignment Overview : Data Warehouse Analysis with SQL •3 minutes
1 reading•Total 2 minutes
- Module 3 Summary and Highlights: Data Warehouse•2 minutes
3 assignments•Total 52 minutes
- Module 3 Graded Quiz: Data Warehouse•15 minutes
- Checklist: Data Warehouse Design & Setup•21 minutes
- Checklist: Data Warehouse Analysis with SQL•16 minutes
2 app items•Total 120 minutes
- Lab 5: Data Warehouse Design & Setup•60 minutes
- Lab 6: Data Warehouse Analysis with SQL•60 minutes
This module delves into the critical aspects of data privacy, security, governance, risk, and compliance technologies. It recommends practices required to protect the sensitive information of FinPro bank. As banks increasingly rely on data for their operations, securing this valuable asset against threats and breaches is paramount.
What's included
2 videos1 reading3 assignments1 app item1 plugin
2 videos•Total 6 minutes
- Assignment Overview: Data Integration, Governance and Security Implementation for FinPro Bank•3 minutes
- Assignment Overview: Data Privacy, Security, Encryption, and Role-Based Access•3 minutes
1 reading•Total 2 minutes
- Module 4 Summary and Highlights: Data Privacy, Security, Governance, Risk, and Compliance•2 minutes
3 assignments•Total 51 minutes
- Module 4 Graded Quiz: Data Privacy, Security, Governance, Risk, and Compliance•15 minutes
- Checklist: Data Privacy, Security, Governance, Risk, and Compliance•15 minutes
- Checklist: Implementing Data Privacy, Security, Encryption, and Role-Based Access •21 minutes
1 app item•Total 60 minutes
- Lab: Implementing Data Privacy, Security, Encryption, and Role-Based Access using MySQL•60 minutes
1 plugin•Total 4 minutes
- Reading: Recommendations on Integration, Governance and Compliance•4 minutes
Tools like Tableau provide advanced visualization capabilities. They allow you to extract more information from the data by providing better sorting and filtering features. They help you create interactive dashboards that enable users to make better decisions. In this module, you’ll perform advanced data visualization tasks. You’ll create worksheets using advanced filters and emphasizers and then assemble multiple worksheets to create interactive dashboards with features like calculated fields and interactivity allowing the filtering of data across multiple views.
What's included
2 videos1 reading3 assignments2 plugins
2 videos•Total 5 minutes
- Assignment Overview: Business Intelligence Using Tableau •3 minutes
- Assignment Overview: Story Dashboard •3 minutes
1 reading•Total 2 minutes
- Module 5 Summary and Highlights: Data Vizualization and Dashboard•2 minutes
3 assignments•Total 69 minutes
- Module 5 Graded Quiz: Data Vizualization and Dashboard•30 minutes
- Checklist: Business Intelligence Using Tableau •18 minutes
- Checklist: Story Dashboard •21 minutes
2 plugins•Total 90 minutes
- Lab 8: Business Intelligence Using Tableau•60 minutes
- Lab 9: Story Dashboard•30 minutes
In this module, you will create a presentation based on all the tasks performed in previous modules. Through your presentation, you will explain your process and the results of your work. The presentation will be uploaded in a PDF format and will be reviewed by your peers. You’ll also be reviewing the work of some of your peers. This module also includes guidance to secure a job in a data management role. It offers tips for resume and job-searching, personal portfolio building, and interview preparation.
What's included
4 videos2 readings1 peer review4 plugins
4 videos•Total 22 minutes
- Structure of a Presentation•6 minutes
- Best Practices for Presenting Your Findings•4 minutes
- Resume & Job Search Tips •7 minutes
- Interview Preparation •5 minutes
2 readings•Total 5 minutes
- Congratulations and Next Steps•3 minutes
- Team and Acknowledgments•2 minutes
1 peer review•Total 30 minutes
- Submit your work and review your peers•30 minutes
4 plugins•Total 85 minutes
- [Optional] Hands-on Lab: Getting started with PowerPoint for the web•60 minutes
- [Optional] Hands-on Lab: Save Your PowerPoint Presentation as a PDF•5 minutes
- Final Project Instructions•15 minutes
- Reading: Guide to Developing a Personal Portfolio•5 minutes
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