Data Science & Analytics Program
Accelerate your career by choosing the path that fits your goals:
Complete our Data Analytics Certificate in just 6 months, or extend your studies to earn a comprehensive Data Science Certificate in 1 year.
Apply for the next round of admissions
Open Enrollment
Data Insight welcomes motivated candidates to apply at any time for its fully funded Data Science & Analytics Program—no application deadline, just your commitment to learning and growth.
Our Commitment
The Data Science & Analytics Program embodies Data Insight’s pledge to train the next generation of data professionals. By covering foundational programming, statistics, and machine learning skills, we ensure every fellow, regardless of background, gains the expertise to excel in today’s data-driven world.
Vision & Impact
We believe that talent exists everywhere, even where opportunity is scarce. That’s why our program’s vision is to equip economically marginalized yet academically exceptional individuals worldwide with the tools to transform data into insight—and in doing so, build more equitable access to the data profession.
Key Highlights
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Fully funded: No tuition or fees; focus solely on learning
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Inclusive mission: Scholarships awarded based on resilience and academic excellence, not financial means
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Global reach: Online delivery connects learners across time zones
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Career focus: Project-based curriculum with real-world datasets and mentorship
Ready to start? Visit our scholarship application page to begin your journey today.
Program Overview
In a world powered by data, organizations need professionals who can turn raw information into clear, actionable insights. Our Data Science & Analytics Program gives you the hands-on experience to become one of those professionals. Through a blend of expert-led online instruction and project-based learning, you’ll:
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Master Python programming for data collection, cleaning, and analysis.
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Explore statistical methods to uncover trends and relationships.
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Build and deploy machine learning models that drive real-world business decisions.
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Develop strong communication skills to present findings with clarity and impact.
Whether you’re aiming to launch your career as a Data Analyst in six months or continue on to a full Data Science credential in one year, Data Insight’s flexible, online format ensures you can learn at your own pace—wherever you are.
The Data Scientist & Analytics Program couples expert-crafted coursework with immersive, real-world projects to build both your technical prowess and professional portfolio.
Course Highlights
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Programming in Python
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Python for Data Science
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Shell for Data Science
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Git/GitHub for Data Science
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Data Science Toolbox
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Importing Data in Python
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Data Cleaning
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Pandas Foundations
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Data Manipulation
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Data Analysis
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Data Visualization
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SQL for Data Science
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Statistical Thinking
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Machine Learning
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Supervised Learning
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Unsupervised Learning
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Neural Networks
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Deep Learning
Courses are developed in collaboration with data science leaders from both industry and academia, ensuring you learn current best practices and tools.
The curriculum begins with programming fundamentals—Python, shell scripting, and version control—and progresses through data ingestion, cleaning, and manipulation workflows.
You’ll master the Data Science Toolbox and Pandas foundations before moving into deeper analytical techniques such as statistical thinking, data analysis, and visualization.
SQL for Data Science modules round out your data-access skills, equipping you to query and aggregate large datasets efficiently.
Advanced machine learning topics—including supervised and unsupervised learning, neural networks, and deep learning—prepare you to build and deploy predictive models.
Projects
Throughout the program, you’ll complete 8 practical, course-based projects that reinforce each module’s core concepts. These hands-on exercises use real datasets to mirror the challenges faced by working data professionals.
To culminate your learning, you’ll undertake 2 applied capstone projects, applying end-to-end data science workflows from problem formulation through model deployment.
By the program’s end, you’ll have a robust portfolio demonstrating your ability to solve complex, real-world problems.
Time Commitment
The Data Science & Analytics Program requires you to invest 20 hours per week in interactive online learning and hands-on projects.
Program Duration
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Certificate in Data Analytics: Complete core courses and projects in 6 months.
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Certificate in Data Science: Extend your learning for a full 12-month deep dive.
Certification
Upon successful completion of all courses and projects, you’ll earn a professional certificate from Data Insight, affirming your proficiency in data science workflows and tools. See the sample certificate.
Scholarship Requirements
Participation is open exclusively to recipients of Data Insight scholarships. Each scholarship covers your application, tuition, program support services, and certificate fees. To qualify, applicants must:
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Demonstrate genuine interest in data science—both in writing and in interviews.
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Show that financial need has previously limited their educational opportunities.
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Provide evidence of academic resilience and excellence despite economic hardship.
Apply for a Data Science & Analytics Scholarship
Application Timeline
We accept applications year-round on a rolling basis. Submit your materials at any time, and our admissions team will review them continuously until all seats are filled.
What to Expect
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Ongoing Evaluation: As soon as we receive your application, we’ll begin the review process—no waiting for a deadline window.
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Seat Availability: Once our cohort is full, we’ll pause new admissions until the next intake opens.
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Notification of Decision: All admitted candidates will be notified by email and announced on this page.
Ready to take the next step? Apply now to start your journey.
Program Director
Lead Scientist at AAi Research Lab
Current Scholarship Recipients
Past Scholarship Recipients
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