Empower your future with CiAI—your gateway to mastering skills that matter in today’s data-driven world
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.
Offers self-paced, structured business science and machine learning courses for beginners.
Focuses on solving real-world problems with AI while enhancing critical thinking and analytical skills.
For fast-paced learners seeking mentorship, small class sizes, and real-time feedback to accelerate progress.
Applies human-centered problem-solving to business challenges with machine learning.
Explore foundational analytics methods to predict trends and recommend actions.
Enroll NowLearn how to collect, model, and visualize business data for decision-making..
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Learn how to design effective prompts for AI systems, including large language models, to generate reliable and relevant outputs.
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Understand statistical reasoning, p-values, confidence intervals, and how to apply hypothesis testing to make data-driven decisions.
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This cognitive science–based framework empowers students to be well-rounded data scientists—not just proficient in code, but also in ethics, communication, teamwork, and innovation.
By aligning with an epistemology, ontology, and phenomenology of learning, the framework bridges technical fluency with human insight.
Students learn to interrogate data, question assumptions, control biases, and make evidence-based decisions.
Focuses on translating complex findings into clear narratives for diverse audiences through visualization and storytelling.
Drives exploration and innovation. Students explore new tools, ask “why” questions, experiment with data, and foster lifelong learning habits.
Emphasizes teamwork, shared code, version control, and cross-disciplinary communication. Builds collective intelligence in solving complex problems.
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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
Money laundering has long been a shadowy process tucked away in complex financial networks. But as mobile money platforms explode...
EDA isn't a one-size-fits-all process. Four core types of EDA are typically used, and each plays a specific...
