Intermediate

Data Science

The Data Science course for Class 9 (CBSE) is designed to introduce students to the core concepts of data science, focusing on the processes of collecting, analysing, and visualizing data to address problems and make informed decisions. The course highlights the role of data in our daily lives, helping students distinguish between data and information, as well as understanding concepts like data footprints, data loss, and recovery. Students will gain knowledge of various data collection methods, the different types of data, and sources, including Big Data. The curriculum also emphasizes key data visualization techniques such as histograms, shape-based plots, and multi-variable charts.

4.5/5

1000+ Students

Intermediate

English

School

₹ 1500/class

₹ 3000/class

Free Query?

₹1200/class

₹2500/class

Free Query?

Course Description

The Data Science course for Class 9 (CBSE) introduces students to the fundamentals of data science, focusing on how data is collected, analysed, and used to solve problems. It begins by explaining the difference between data and information, and explores concepts like the DIKW model (Data, Information, Knowledge, Wisdom), illustrating how data evolves into meaningful insights. Students learn about various data types, data collection methods, and the significance of Big Data.

Overall, this course prepares students with foundational knowledge in data science, equipping them for future academic and professional opportunities in technology.

What students will learn?

Understanding data and its difference from information
Exploring data footprints, data loss, and recovery
Learning data collection methods and types of data
Understanding sources of data, including Big Data
Mastering data visualization techniques (histograms, charts, multi-variable plots)
Learning ethical guidelines in data science (privacy, data governance)
Exploring AI-based applications of data science
Developing critical thinking and problem-solving skills through hands-on projects

* What is Data?

* Data vs. Information

* Data, Information, Knowledge, Wisdom (DIKW Model)

* How Data Influences Our Lives

* What Are Data Footprints?

* Data Loss and Recovery

* Introduction to Data Collection

* What is Data Collection?

* Variables in Data

* Types of Data

* Sources of Data

* What is Big Data?

* Questioning Your Data

* Univariate and Multivariate Data

* Introduction to Data Visualization

* Importance of Data Visualization

* Plotting Data

* Histograms

* Use of Shapes in Data Visualization

* Use of Single and Multi-Variable Plots

* Introduction to Ethics in Data Science

* Ethical Guidelines Around Data Analysis

* The Need for Ethical Guidelines

* Goals of Ethical Guidelines

* Data Governance Framework

* The Need to Govern Data

* Goals of Data Governance

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₹ 1200/class

₹ 2500/class

Free Query?

Course Includes

Lectures

10 Classes

Duration

N/A Hours

Level

Beginner

Language

English

Certificate

Yes

School

₹ 1500/class

₹ 3000/class

Free Query?

Course Includes

Lectures

10 Classes

Duration

N/A Hours

Level

Beginner

Language

English

Certificate

Yes

Requirements

Learning Path

Beginner

Intermediate

Advanced

Master

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