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Data Science Bootcamp with Python for Banking Professionals

BeginnerCourse

This is an in-person, multi-day, intensive Data Science Bootcamp by IBM Cognitive Class. Taught by data scientists at IBM, this hands-on bootcamp enables beginners to analyze, visualize, model data. This bootcamp is made available on a limited basis, through BNP-Paribas.

Language

  • English

Topic

  • Data Science

Skills You Will Learn

  • Python

Offered By

  • CognitiveClass

Estimated Effort

  • 6 hours

Platform

  • SkillsNetwork

Last Update

  • January 3, 2025
About this Course

About the Data Science Bootcamp for Banking Professionals

Welcome to the in-person, multi-day, intensive IBM Cognitive Class Data Science Bootcamp! This is a beginner-friendly, hands-on bootcamp, where you will learn the fundamentals of data science from IBM Data Scientists Joseph Santarcangelo, Ph.D. and Alex Aklson, Ph.D. You will learn how to use a popular programming language for data analysis and data visualization, dive into several machine learning algorithms and deep learning with TensorFlow.

Course Syllabus

  • Introduction to Data Science
  • Data Analysis with Python
  • Data Visualization with Python
  • Introduction to Statistics
  • Machine Learning (Classification)
  • Big Data (Spark)
  • Machine Learning (Clustering)
  • Introduction to Recommendation Systems
  • Text Mining
  • Introduction Deep Learning

General Information

  • This course is instructor-led.

    • Recommended skills prior to taking this course

    • Python for Data Science
    • Data Analysis with Python

    Bootcamp Instructors

    Dr. Joseph Santarcangelo, Data Science Bootcamp instructor

    Joseph Santarcangelo

    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.
    Dr. Alex Aklson, Data Science Bootcamp instructor

    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.