Course Level
- Beginner (
) – 13 - Intermediate (
)
– 2 - Advanced (
) – 1
₹ 21,500
Course Level
) )
) 
Managing and utilizing a plethora of data generated by the web and modern technology is no mean task. To achieve this, organizations and businesses need a balanced mix of analytical skills (to manipulate data), business acumen (to apply findings to real-world situations), and statistics (to separate what's essential from what's not).
Kickstart your career as a Data Science Specialist with this promising and well-curated capstone specialization that enables you to learn the key elements of data science, allows business generalists to solve real business problems themselves effectively. It also provides an accelerated way for those interested in a career in data science with fundamentals of Data Science with R Programming, Relational Databases and Python with a good blend of hands-on guided projects and behavioral skills required to become successful managers and leaders.
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IBM
Aije Egwaikhide is a Data Scientist at IBM who holds a degree in Economics and Statistics from the University of Manitoba and a Post-grad in Business Analytics from St. Lawrence College, Kingston. She is currently pursuing her Masters's in Management Analytics at Queens University.
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.
Georgia Tech Language Institute
Education: M.A.T., Emory University. Amalia Stephens has developed and taught a wide variety of classes at the GA Tech Language Institute for more than seven years. She also taught English in the Fulton County Georgia Public School System and in Cairo, Egypt, and the Central African Republic. Prior to teaching, Amalia worked as a business writer in New York and Atlanta for newspapers, business publications, and private companies.
School of Information
Daniel Romero is an Assistant Professor with the School of Information at the University of Michigan. His main research interest is in the empirical and theoretical analysis of Social and Information Networks with a particular interest in understanding the mechanisms involved in network evolution, information diffusion, and user interactions on the Web.
IBM
Hima Vasudevan is a Data Scientist in the Digital Business Group at IBM. She is part of the Cognitive Class team and focuses on creating skills offerings and deliver learning curriculum for the Data Science and Data Engineering professions.
IBM Developer Skills Network
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. Joseph has been working for IBM since he completed his PhD.
IBM Developer Skills Network
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. Joseph has been working for IBM since he completed his PhD
Margaret Meloni is President of Meloni Coaching Solutions, Inc., a company devoted to helping you successfully navigate the human side of the project world. Margaret has supported project managers at organizations such as Occidental Petroleum, Northrop Grumman, Toyota Motor Credit, Southern California Edison, CalStart, and arc.
Computer Science
Polong is a Data Scientist at IBM, with a focus on data science advocacy and partnerships. He is a co-founder of a Data Science Bootcamp at IBM and currently leads Canada's largest meetup group for data science in Toronto.
IBM Skills Network
Rav Ahuja is a Global Program Director at IBM. Rav leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. He is the architect for the IBM Data Science Professional Certificate and instructor for the Databases & SQL for Data Science course on Coursera. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies.
IBM Watson IoT
Romeo Kienzler holds a M. Sc. (ETH) in Information Systems, Bioinformatics & Applied Statistics (Swiss Federal Institute of Technology). He has nearly two decades of experience in Software Enineering, Database Administration and Information Integration.
Ryan Ahmed is a professor who is passionate about education and technology. Ryan holds a Ph.D. degree in Mechanical Engineering from McMaster* University, with a focus on Mechatronics and Electric Vehicle (EV) control.
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 deep learning, machine learning and statistical modelling on large datasets.
IBM CODAIT
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.
Senior Developer Advocate with IBM Center for Open Data and AI Technologies, Svetlana has been a software engineer and technical lead for SPSS for many years. She works on open standards for machine learning model deployment PMML and ONNX.
IBM
