Data Analytics

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Data Analytics and Computer Science

An advanced course in Data Analytics and Data Visualisation with special emphasis on basic data science fundamental for the students with a good understanding of mathematics and analytical skills. The Computer Science course in line with NCERT guideline for academic support for students studying in grade 11 & 12

Data Analytics Grade 10+

Data Analytics is the science of analyzing data to convert information to useful knowledge. This knowledge could help us understand our world better, and in many contexts enable us to make better decisions. This course seeks to present data analytic techniques.​
Module 1: 20 sessions in 6 months

  • ​Taxonomy of Data Analytics
  • What is Big Data
  • Descriptive Statistics
  • Clustering Techniques
  • Clustering Validation
  • Frequent Itemsets
  • Association Rules
  • Support and Confidence
  • Module 2: 20 sessions in 6 months
  • Data Quality & Pre-processing
  • Data Transformation
  • Descriptive Analytics
  • Regression
  • Predictive Performance Estimation
  • Binary Classification
  • Predictive Analytics
  • CRISPDM Methodology
  • Data Visualization Grade 10+

    While technology has increased access to and proficiency in tools to work with data, there remain gaps in capabilities. Anyone can put some data in Excel and create a graph, but the tools don’t know what that story is. Hence it actually may become extremely difficult to communicate something to someone using data. These sessions will focus on how to enable students to shift from simply showing data to storytelling with data.
    Module 1: 20 sessions in 6 months

  • ​Exploratory vs. explanatory analysis
  • Who, what, and how
  • Storyboarding
  • Cognitive load
  • Decluttering: step‐by‐step
  • Module2: 20 sessions in 6 months
  • Lessons in storytelling
  • Focus your audience’s attention
  • Think like a designer
  • Affordances
  • Accessibility
  • Aesthetics
  • Computer Science Grade 11 & Grade 12

    Academic support for Grade 11 & 12 students studying computer science as per NCERT syllabus
    Topics covered

  • Data Structure - Stack, Queue, Searching & Sorting techniques
  • Database - understanding data, database concepts, and relational database management systems using MySQL
  • Data definition, data manipulation, and data querying using a structured query language
  • Programming - File & exception handling in Python
  • Network and Communication - computers networks, devices, topologies, Internet, Web and IoT, DNS
  • Data transmission channel, media; protocols, mobile communication
  • Security - Introduction to network and Internet security, threats & prevention