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Data Science-Foundation
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
27 Classes
(12 Weeks)
Available Coaching Centers:
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Intermediate
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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Course Includes
Lectures
27 Classes
Duration
12 Weeks
Level
Intermediate
Language
English
Certificate
Yes
Available Coaching Centers:
No coaching centers found in this location. Please try another area.
Course Includes
Lectures
10 Classes
Duration
N/A Hours
Level
Beginner
Language
English
Certificate
Yes
What you need/Requirement
Internet
You need a working internet connection to watch videos, join online classes, and get help when needed.
Laptop/PC
A personal computer is essential for hands-on practice and project work.
Browser
A web browser like Chrome or Firefox is needed to open learning websites and access course content online.
Learning Path
Beginner
Intermediate
Advanced
Master
CERTIFICATION
Earn Valuable Credentials
and Lead with a Competitive Edge.
🛡️
Certificate and Recognition That Validates Your Skills
Our curriculum is meticulously designed in collaboration with industry leaders to ensure every skill you acquire is not just current, but in high demand.
🔗
Get Mentorship From Top 1 % Industry Experts
Our mentors are seasoned professionals and thought leaders who provide unparalleled guidance and personalized feedback.
🧑🎓
Network For Lifelong Success
Our vibrant community of professionals offers continuous support, mentorship, and a platform for lifelong career acceleration.
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Class 9 - Robotics and Artificial Intelligence
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