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FutureStream: Data Science | Data Science Fundamentals

What’s the difference between a data analyst, a data scientist, and a data expert? A data analyst will tell you what happened, a data scientist will explain why, and a data expert, well, they’ll just tell you the probability of someone asking that question! Welcome to our insightful, future-forward foundational course in data science in which you will play all these roles to tell stories with data. Designed for high schoolers (Grades 9-12), this course will teach you how to collect, analyse, visualise and draw predictions to transform raw data into intelligence. Craft compelling stories from the vast tapestry of data science, as you learn about the importance of data in various contexts and engage in real-world projects using open data sets. Join us and unlock the power to turn data into your storytelling adventure.

This course is for high schoolers (Grades 9-12) who aspire to become adept digital storytellers, by crafting compelling narratives, writing impactful scripts, and creating digital stories that speak to a wide variety of audiences.

 

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Dates Eligibility Fees 
Application deadline- May 4, 2024

 

Course dates– Sat, May 18, 2024- Sun, June 9, 2024

16 Live Teaching Hours over 4 weekends (11AM- 1PM on Saturdays & Sundays).

  • High schoolers studying in grades 9- 12 as on the course commencement date in May, 2024.
  • Students from India and abroad can apply.
  • Students from all boards can apply.
  • Prerequisites: High level of proficiency in written and verbal English communication.
  • You will be required to submit your latest marksheet in the application form.
Rs 22,000/- +GST
*Refer to fees section of website for inclusions & exclusions

Who is this course for?

This course is for high school students (Grades 9-12) seeking to master data science fundamentals to make informed data-driven decisions. It is also ideal for high schoolers considering pursuing data science for their higher education.

Prerequisites: High proficiency in written & spoken English. You will be required to submit your latest mark sheet in the application form. While the course is open for all students some knowledge of programming languages would be beneficial.

What’s in it for me?

  • Understanding Data Science: Presentation of data science applications in various contexts
  • Foundational Aspects: Learning about data preliminaries and techniques for effective data analysis
  • Project-Based Learning: Hands-on projects with data sets on open platforms
  • Presentations with Data: Articulate and present insights obtained from data in a visually elucidatory manner
  • Expert Feedback: Receive invaluable critiques and insights from seasoned faculty and industry experts

What do I take away?

By the end of the course, you will:

  • Have in-depth knowledge of what Data Science involves and why it is one of the most promising career fields
  • Understand diverse types of data- structured, unstructured, and mixed
  • Learn how data tells stories through concepts of data representation, grouping, spotting trends
  • Gain knowledge of basic tools and platforms for data analysis
  • Learn how to present a data journey   
  • Practice data-driven decision making

 

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Faculty

Session outline

Week 1 Week 2 Week 3 Week 4
Lecture module Understanding Your Data: Attributes, Entities and Missing Data

 

Analyse to Gain Insights – Statistical Properties, Notions of Similarity Predictive Analysis – Prediction, Classification, Clustering

 

Visualising Data – Storytelling with Data and Contextualizing Insights
Project module Project 1 – Analyse and Categorise Data Project 2 – Presenting Insights by Grouping Data Project 3 – Identify & Present Trends and Patterns Project 4- Your Data Story – Individual Data Analysis and Presentation

Grading, Assessments & Certification

All Ashoka Horizons courses offer a certificate on satisfactory completion of the course. The 3 components of student assessment are-

  • Weekly Projects 1,2,3 – 30%
  • In-class participation and attendance – 30%
  • Final Personal Project & Presentation (week 4) – 40%

Class participation will be assessed based on your active engagement in live sessions, contributions to discussion forums, and involvement in Teaching Fellow-led activities. Letters of Appreciation will be issued for select students based on exceptional performance in the course.

 

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IT Requirements

This course is administered through an online platform. Students are expected to have a foundational understanding of computer usage, including but not limited to sending emails and conducting Internet searches. Consistent access to the Internet and a computer that aligns with the recommended minimum specifications are also requisite for participation in the course.

 

Small cohorts. Apply early to secure your seat.

Study at Ashoka

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