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ABOUT US

Learn Anytime, Solve Problems, and Think Critically with CiAI

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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  • Certification at Your Fingertips

Our Campuses

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Foundation Campus: Self-paced Learning

The Foundation Campus provides introductory courses designed for students who want to develop core knowledge at their own pace.

This campus offers a structured yet flexible learning environment, allowing students to explore essential concepts and fundamental skills across various disciplines.

It is deal for beginners or individuals seeking to refresh and strengthen their foundational understanding.

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AI Application Hub: Project-Based Learning

Unlike most courses, this program focuses on applying AI to real-world challenges while enhancing critical thinking and analytical skills.

This hub engages learners in tackling real-world challenges, using research tools, collaboration, and iterative methods to develop innovative solutions.

It is designed for professionals to enhance problem-solving and critical thinking in real-world contexts.

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Mentorship Academy: Bootcamp

Intensive, mentor-led learning experiences designed to build expertise through immersive bootcamps.

This program is designed for learners who excel in fast-paced environments and value close guidance. Students benefit from mentorship, small class sizes, and real-time feedback to accelerate their progress.

It is perfect for individuals seeking a fast-track learning approach or a structured, guided path to mastery.

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Innovation : Design Thinking in Data Science

A campus dedicated to applying human-centered, creative problem-solving frameworks to data science challenges.

This lab cultivates empathy, creativity, and collaboration, teaching students to identify challenges, ideate solutions, and prototype insights using design thinking.

It is ideal for learners who want to approach data science with a blend of analytical rigor and creative problem-solving, focusing on real-world impact and usability.

ProCert: Professional Data Science Certification Pathway

The Professional Certificate Lab offers a pathway to earn prestigious subject-specific data science certifications. Students engage in hands-on, real-world projects, applying their skills practically in areas such as HR, Accounting, Finance, Strategy, Healthcare, Operations, Management, Fraud Analytics, and more.

This program is designed for learners who want to pursue a professional certification track. After completing one of the foundational certificates, students’ progress toward accredited professional certifications through immersive, project-based learning. The curriculum emphasizes industry-relevant challenges, critical thinking, and problem-solving, equipping students to excel in their chosen domains.

Best suited for students seeking a structured professional certification pathway, combining practical, project-based experience with recognized credentials to demonstrate expertise and enhance their career prospects.

POPULAR COURSES

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INSTRUCTOR

Course Instructor

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

He’s also the CEO of Vedia Cloud Analytics (www.vedia.ca), an AI company leading research and innovation in data analytics and artificial intelligence with both industry and government institutions.

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LATEST ARTICLES

Learning Corner: Articles by Our Instructors

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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...

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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Courses
Data Science
  • 16 Nov, 2024

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