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Data Foundations

Data Foundations is a two-week, beginner-friendly course designed to equip learners with the fundamental skills to understand and interpret data in today's exponentially growing data-driven world. This course delves into the realms of data types, collection, analysis, and effective communication of insights, with a particular emphasis on practical applications in Microsoft Excel. Participants will not only explore essential statistical concepts but also the art of data storytelling and visualization, making it a comprehensive introductory journey into data science and data literacy.

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Aishwarya Srinivasan
Data Scientist - Google Cloud AI
Real-world projects that teach you industry skills
Learn alongside a small group of your professional peers
Part-time program with 2 live events per week
Next Cohort
January 22, 2024
2 weeks
US$ 200
or included with membership
Space is limited

Course taught by expert instructors

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Aishwarya Srinivasan

Data Scientist - Google Cloud AI

Aishwarya is a Data Scientist at Google Cloud AI Services team, working on building solutions using Large Language Models and Generative AI capabilities, and building machine learning solutions for customer use cases leveraging core Google Cloud AI platform and services. She holds a post-graduate in Data Science from Columbia University. She is an ambassador for Women in Data Science community and an advocate for Responsible AI Practices. She has over 430,000 followers on LinkedIn and actively organizes events and conferences to inspire budding data scientists. She is an ardent reader and has contributed to the scholastic community. She has been spotlighted as a LinkedIn Top Voice for Data Science and AI, which features Top 10 Machine Learning influencers across the world.

The course

Learn and apply skills with real-world projects.

Who is it for?
  • Professionals at any level who are seeking to explore a career trajectory in data analysis or data science

  • Basic familiarity with Microsoft Excel or Google Sheets

Not ready?

Try these prep courses first

  • Making sense of the numbers—what they mean and why they matter
  • Introduction to analytical workloads
  • Descriptive statistics
  • Dealing with outliers
  • Complete a comprehensive data analysis for a retail food company, including salesperson efficiency, product performance, and location analysis.
  • Basics of data storytelling
  • Introduction to visualization in spreadsheets
  • Communicating data insights
  • Data cleaning
  • Exploratory data analysis
  • Hypothesis testing
  • Apply hypothesis testing frameworks to analyze the effects of marketing efforts on sales performance.

A course you'll actually complete. AI-powered learning that drives results.

AI-powered learning

Transform your learning programs with personalized learning. Real-time feedback, hints at just the right moment, and the support for learners when they need it, driving 15x engagement.

Live courses by leading experts

Our instructors are renowned experts in AI, data, engineering, product, and business. Deep dive through always-current live sessions and round-the-clock support.

Practice on the cutting edge

Accelerate your learning with projects that mirror the work done at industry-leading tech companies. Put your skills to the test and start applying them today.

Flexible schedule for busy professionals

We know you’re busy, so we made it flexible. Attend live events or review the materials at your own pace. Our course team and global community will support you every step of the way.


Completion certificates

Each course comes with a certificate for learners to add to their resume.

Best-in-class outcomes

15-20x engagement compared to async courses

Support & accountability

You are never alone, we provide support throughout the course.

Get reimbursed by your company

More than half of learners get their Courses and Memberships reimbursed by their company.

Hundreds of companies have dedicated L&D and education budgets that have covered the costs.


Frequently Asked Questions

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