Foundation Campus: Self-paced Learning
Build your core in data science and machine learning — at your own pace.
Foundation Campus: Build Your Data & AI Fundamentals
The Foundation Campus is designed for learners who are new to data science, AI, and analytics. Whether you’re from a non-technical background or looking to strengthen your core competencies, this campus offers self-paced learning to help you develop essential skills in a supportive, flexible environment.
Courses in this campus are carefully crafted to introduce key concepts in:
- Data Science – including data literacy, decision-making frameworks, and business
fundamentals. - Machine Learning Foundations– covering statistics, data exploration, Python
programming, and introductory modeling techniques.
What You will Learn:
- Core tools and techniques: Python, SQL, Excel, Power BI, Tableau
- Data fundamentals: Data literacy, visualization, hypothesis testing
- Foundational AI & ML: Applied machine learning, generative AI, predictive techniques
- Practical application: Storytelling with data, prompt engineering, real-world use cases
Ideal For:
- Beginners in data and AI
- Social science, business, and humanities students
- Professionals looking to transition into data-driven roles
- Anyone who wants to learn at their own pace without prior coding experience
The certificates and badges offered under the Foundation Campus are:
Certificates (Full-Length Courses)
These are in-depth, self-paced programs that provide comprehensive training and award a DataSoSi Certificate of Completion.
• Business Intelligence: Turning Data into Decisions
Learn how to collect, model, and visualize business data for decision-making..
• Data Analytics: Predictive and Prescriptive Techniques
Explore foundational analytics methods to predict trends and recommend actions.
• AI-Powered Data Science: Machine Learning in Action
Get hands-on with core ML techniques used in real-world applications.
• Generative AI and Machine Learning with Azure
- Generative AI and Machine Learning with Azure
Understand how to apply generative AI tools using Microsoft Azure ecosystems.
Digital Badges (Skills-Based Micro-Credentials)
These are short, focused modules that help learners build applied data skills. Each badge demonstrates mastery of a specific tool or technique.
• Excel for Data Analytics
Learn to clean, organize, and analyze data using advanced Excel functions, including pivot tables, charts, and formulas.
• Power BI for Data Analytics
Gain hands-on experience creating interactive dashboards and visual reports using Microsoft's business intelligence platform.
• Tableau for Data Analytics
Learn to visualize complex datasets and uncover insights using Tableau's drag-and-drop interface and storytelling features.
• Data Visualization & Storytelling
Understand how to present data effectively using visual design principles and narrative techniques to drive insight and impact.
• Mastering Data Literacy
Build foundational skills in understanding, interpreting, and questioning data in a critical and informed way.
• Python for Data Science
Learn Python basics with a focus on data structures, libraries like Pandas and NumPy, and real-world data manipulation.
• SQL for Data Science
Develop skills in querying, filtering, joining, and aggregating data using SQL to explore and analyze datasets.
• Hypothesis Testing
Understand statistical reasoning, p-values, confidence intervals, and how to apply hypothesis testing to make data-driven decisions.
• Prompt Engineering
Learn how to design effective prompts for AI systems, including large language models, to generate reliable and relevant outputs.
