Data Analytics Capstone Project
Apply real-world data analysis skills through a comprehensive capstone project simulating an Associate Data Analyst role.
Apply real-world data analysis skills through a comprehensive capstone project simulating an Associate Data Analyst role.
This hands-on capstone project allows students to demonstrate their data analytics expertise in a real-world context. Taking on the role of an Associate Data Analyst, participants work with actual datasets to perform comprehensive analysis. The course covers advanced data collection techniques including web scraping and APIs, data wrangling, statistical analysis, and visualization. Students create interactive dashboards using IBM Cognos Analytics and deliver professional presentations of their findings. The project culminates in a detailed data analysis report that showcases their ability to communicate insights effectively to stakeholders.
4.5
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What you'll learn
Collect and analyze data using web scraping and APIs
Perform advanced data wrangling and statistical analysis
Create professional visualizations and interactive dashboards
Develop compelling data stories for stakeholders
Present findings effectively using business presentation tools
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Module Description
This capstone project provides hands-on experience in real-world data analysis scenarios. Students work as Associate Data Analysts, applying various analytical techniques to actual datasets. The curriculum emphasizes practical skills in data collection, wrangling, analysis, and visualization. Participants create professional dashboards using IBM Cognos Analytics and develop presentation skills for effectively communicating findings to stakeholders. The course culminates in a comprehensive data analysis report that demonstrates proficiency in all aspects of the data analytics process.
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
Testimonials
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4.5 course rating
13 ratings
Frequently asked questions
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