IBM Python Data Science

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Data is at the heart of our digital economy and data science has been ranked as the hottest profession of the 21st century. Whether you are new to the job market or already in the workforce and looking to upskill yourself, this five course Data Science with Python Professional Certificate program is aimed at preparing you for a career in data science and machine learning. No prior computer programming experience required!

You will start by learning Python, the most popular language for data science. You will then develop skills for data analysis and data visualization and also get a practical introduction in machine learning. Finally, you will apply and demonstrate your knowledge of data science and machine learning with a capstone project involving a real life business problem.

This program is taught by experts and focused on hands-on learning and job readiness. As such you will work with real datasets and will be given no-charge access to tools like Jupyter notebooks in the IBM Cloud. You will utilize popular Python toolkits and libraries such as pandas, numpy, matplotlib, seaborn, folium, scipy, scikitlearn, and more.

Start developing data and analytical skills today and launch your career in data science!

المدربين

Joseph Santarcangelo
Joseph Santarcangelo
Joseph Santarcangelo is currently working as a Data Scientist at IBM. Joseph has a Ph.D. in Electrical Engineering. His research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition.
Saishruthi Swaminathan
Saishruthi Swaminathan

Saishruthi Swaminathan is a data scientist and developer advocate in the IBM CODAIT team whose main focus is to democratize data and AI through open source technologies. She has a Masters in Electrical Engineering specializing in Data Science and a Bachelor degree in Electronics and Instrumentation. Her passion is to dive deep into the ocean of data, extract insights, and use AI for social good. Previously, she was working as a Software Developer. On a mission to spread the knowledge and experience, she acquired in her learning process. She also leads the education for rural children initiative and organizing meetups focussing on women empowerment.

Alex Aklson
Alex Aklson
Alex Aklson, Ph.D., is a data scientist in the Digital Business Group at IBM Canada. Alex has been intensively involved in many exciting data science projects such as designing a smart system that could detect the onset of dementia in older adults using longitudinal trajectories of walking speed and home activity. Before joining IBM, Alex worked as a data scientist at Datascope Analytics, a data science consulting firm in Chicago, IL, where he designed solutions and products using a human-centred, data-driven approach. Alex received his Ph.D. in Biomedical Engineering from the University of Toronto.
Saeed Aghabozorgi
Saeed Aghabozorgi
Saeed Aghabozorgi, PhD is a Sr. Data Scientist in IBM with a track record of developing enterprise level applications that substantially increases clients’ ability to turn data into actionable knowledge. He is a researcher in data mining field and expert in developing advanced analytic methods like machine learning and statistical modelling on large datasets.
Yan Luo
Yan Luo

Yan Luo, Ph.D., is a data scientist and developer at IBM Canada. Yan has been building innovative AI and cognitive applications in various areas such as mining software repositories, personalized health management, wireless networks, digital banking, etc. Yan received his Ph.D. in Machine Learning from the University of Western Ontario.