IBM Data Analyst Capstone Project
Apply comprehensive data analysis skills in a real-world project: from data collection to visualization and presentation using Python, SQL, and BI tools.
Apply comprehensive data analysis skills in a real-world project: from data collection to visualization and presentation using Python, SQL, and BI tools.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM Data Analyst Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Master end-to-end data analysis workflow
Develop proficiency in data collection and preparation
Create compelling visualizations and dashboards
Deliver professional data analysis presentations
Skills you'll gain
This course includes:
4 Hours PreRecorded video
15 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 6 modules in this course
This comprehensive capstone project simulates real-world data analysis scenarios, where students take on the role of an Associate Data Analyst. The curriculum covers the complete data analysis lifecycle, including data collection through APIs and web scraping, data wrangling and preparation, exploratory data analysis, statistical analysis, and data visualization. Students create interactive dashboards using IBM Cognos Analytics or Google Looker Studio and develop professional presentations of their findings. The project emphasizes hands-on application of various tools and technologies including Python libraries, SQL, and business intelligence platforms.
Data Collection
Module 1 · 6 Hours to complete
Data Wrangling
Module 2 · 2 Hours to complete
Exploratory Data Analysis
Module 3 · 1 Hours to complete
Data Visualization
Module 4 · 2 Hours to complete
Building A Dashboard
Module 5 · 1 Hours to complete
Final Assignment: Present Your Findings
Module 6 · 4 Hours to complete
Fee Structure
Instructors
Technology Education and Skills Development Leader at IBM
Rav Ahuja serves as the Chief Content Officer and Global Program Director at IBM Skills Network, where he leads curriculum creation, growth strategy, and partner programs. After earning his B.Eng. from McGill University and MBA from the University of Western Ontario, he co-founded Cognitive Class, an IBM initiative focused on democratizing access to in-demand technology skills. Based at the IBM Canada Lab in Toronto, he specializes in developing instructional solutions for AI, Data Science, Cloud Computing, and Cybersecurity. His impact on technology education is evidenced through his role as architect of numerous IBM Professional Certificates and instructor for over 35 online courses, including popular offerings like "What is Data Science?", "Introduction to Cloud Computing," and "Introduction to Artificial Intelligence (AI)." His courses have reached hundreds of thousands of learners worldwide, with "What is Data Science?" alone enrolling over 638,000 students. His recent work includes developing new Generative AI courses and career guidance content for IBM's Professional Certificate programs, demonstrating his ongoing commitment to preparing learners for emerging technology careers
Data Engineering and Technology Education Expert
Ramesh Sannareddy serves as a freelance technology educator and content developer, bringing over two and a half decades of experience in Information Technology Infrastructure Management, Database Administration, and Information Integration. After earning his Bachelor's Degree in Information Systems from Birla Institute of Technology, Pilani, he built an impressive career working with leading technology companies including Intergraph, Genpact, HCL, and Microsoft. Currently focused on his passion for teaching, he specializes in developing and delivering courses in Data Science, Machine Learning, Programming, and Databases. His educational impact is evidenced through his extensive course portfolio, which includes specialized programs in Data Engineering, Data Warehousing, Linux Commands, Machine Learning with Apache Spark, and Python Programming. His teaching reaches over 11,800 learners globally, maintaining a strong 4.5 rating for his educational content
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