Develop both the fundamental skills and advanced knowledge required to pursue a career in data analytics. With training designed under Purdue University and IBM, you'll explore key areas such as statistical analysis, data visualisation, regression techniques, and more - with hands-on practice in tools such as Python, R, and Tableau. Resources include masterclasses conducted by Purdue faculty and IBM experts; live virtual classrooms; IBM hackathons and Ask Me Anything (AMA) sessions; along with 24/7 learning support to help you advance in your educational journey.
Additionally, students will be able to put their skills to practice through 14+ data analytics projects throughout their training and a cumulative capstone at the end of the program. Course projects reflect real-world scenarios, with datasets from leading companies such as Google Playstore and Lyft, helping you gain the "work-ready" experience required to compete on the job market. Each course is delivered in regular one week periods on a cohort based learning structure. This means students are required to complete training in their specific chosen schedule enabling students to focus and practice skills they have learned in class from start to finish.
- Course 2 - Programming foundation and Data Analytics with Python
Learn to leverage the Python programming language to effectively analyse data, create data visualisations, predict future data trends, and perform simple statistical analyses.
- Course 4 - Data Science with R
Learn to leverage R for data exploration, data visualisation, predictive analytics, and descriptive analytics techniques.
- Course 6 - Data Analyst Capstone
Put your newfound training to practice through this cumulative Data Analyst capstone project. You'll be challenged with compiling your training from every course into a hands-on, industry-relevant project that not only adds to your industry portfolio - but also grants you the work-ready experience required for the job market.
You will gain individual certificates after completing each course
Optional electives are available as part of this Professional Certificate Program in Data Analytics. These are not mandatory to complete, but are available as additional courses to study if you are interested in
expanding your knowledge and further implementing your skills.
Optional Elective 1 - Power BI