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DataSoSi empowers non-technical learners, especially in social sciences, to thrive in a data-driven world through accessible education, bridging gaps with AI and data skills.

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Foundation Campus: Self-paced Learning

Offers self-paced, structured business science and machine learning courses for beginners.

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AI Application Hub: Project-Based Learning

Focuses on solving real-world problems with AI while enhancing critical thinking and analytical skills.

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Mentorship Academy: Bootcamp

For fast-paced learners seeking mentorship, small class sizes, and real-time feedback to accelerate progress.

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Innovation Lab: Design Thinking in Data Science

Applies human-centered problem-solving to business challenges with machine learning.

ProCert: Professional Data Science Certification Pathway

Offers a structured path to subject-specific data science certifications through hands-on, project- based learning.

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Python for Data Science
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We’re just an email away. Reach out with questions, partnership inquiries or to learn more about our programs!

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Course Creator

Professor Mark Lokanan
Dr. Mark Lokanan

Professor at Royal Roads University
AI/ML Strategist, Vedia Cloud Analytics

Dr. Lokanan is a renowned interdisciplinary-trained machine learning expert in Canada, with a well-documented history of developing impactful AI-driven solutions across various industries. He specializes in developing and implementing predictive algorithms across various fields, including fraud detection, anti-money laundering compliance, and forecasting.

Dr. Lokanan’s expertise in deep learning models allows him to perform sentiment analysis on large volumes of textual data, helping organizations extract valuable insights from unstructured information. His skills in AI-driven solutions position him as a leading expert, consistently delivering innovative, data-driven strategies to solve critical business challenges.

Dr. Lokanan, with more than two decades of experience, is a seasoned expert in financial crime research and advisory. His AI-driven approach as a data scientist and machine learning engineer delves into fraud, regulatory, and anti-money laundering compliance

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LATEST ARTICLES

Learning Corner: Our Blogs

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Machine Learning vs. Money Laundering: How AI Is Changing the Game inMobile Money
  • 17 Jun, 2025

Money laundering has long been a shadowy process tucked away in complex financial networks. But as mobile money platforms explode...

Datascience
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Every Aspiring Data Scientist Needs to Master Exploratory Data Analysis
  • 12 Jun, 2025

EDA isn't a one-size-fits-all process. Four core types of EDA are typically used, and each plays a specific...

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