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Foundation Campus: Self-paced Learning
Build your core in data science and machine learning β 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 β including data literacy, decision-making frameworks, and business
fundamentals. - Machine Learning Foundationsβ 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.
β’ Business Intelligence: Turning Data into Decisions
Learn how to collect, model, and visualize business data for decision-making..
β’ Data Analytics: Predictive and Prescriptive Techniques
Explore foundational analytics methods to predict trends and recommend actions.
β’ AI-Powered Data Science: Machine Learning in Action
Get hands-on with core ML techniques used in real-world applications.
β’ 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.
β’ Excel for Data Analytics
Learn to clean, organize, and analyze data using advanced Excel functions, including pivot tables, charts, and formulas.
β’ Power BI for Data Analytics
Gain hands-on experience creating interactive dashboards and visual reports using Microsoft's business intelligence platform.
β’ Tableau for Data Analytics
Learn to visualize complex datasets and uncover insights using Tableau's drag-and-drop interface and storytelling features.
β’ Data Visualization & Storytelling
Understand how to present data effectively using visual design principles and narrative techniques to drive insight and impact.
β’ Mastering Data Literacy
Build foundational skills in understanding, interpreting, and questioning data in a critical and informed way.
β’ Python for Data Science
Learn Python basics with a focus on data structures, libraries like Pandas and NumPy, and real-world data manipulation.
β’ SQL for Data Science
Develop skills in querying, filtering, joining, and aggregating data using SQL to explore and analyze datasets.
β’ Hypothesis Testing
Understand statistical reasoning, p-values, confidence intervals, and how to apply hypothesis testing to make data-driven decisions.
β’ Prompt Engineering
Learn how to design effective prompts for AI systems, including large language models, to generate reliable and relevant outputs.
Popular Courses
Data Analytics: Predictive and Prescriptive Techniques
$17.29
Explore foundational analytics methods to predict trends and recommend actions.
- 0 Lessons
- 0 Students
Business Intelligence: Turning Data into Decisions
$17.29
Learn how to collect, model, and visualize business data for decision-making..
- 0 Lessons
- 0 Students
Prompt Engineering
$17.29
Learn how to design effective prompts for AI systems, including large language models, to generate reliable and relevant outputs.
- 0 Lessons
- 0 Students
Hypothesis Testing
$17.29
Understand statistical reasoning, p-values, confidence intervals, and how to apply hypothesis testing to make data-driven decisions.
- 0 Lessons
- 0 Students
Mastering Data Literacy
$17.29
Build foundational skills in understanding, interpreting, and questioning data in a critical and informed way. Β Build foundational skills in...
- 0 Lessons
- 0 Students
Data Visualization & Storytelling
$17.29
Understand how to present data effectively using visual design principles and narrative techniques to drive insight and impact.
- 0 Lessons
- 0 Students
Excel for Data Analytics
$17.29
Learn to clean, organize, and analyze data using advanced Excel functions, including pivot tables, charts, and formulas.
- 0 Lessons
- 0 Students
Generative AI and Machine Learning with Azure
$17.29
Understand how to apply generative AI tools using Microsoft Azure ecosystems.
- 0 Lessons
- 0 Students









