Data Science 11
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Welcome!
Data Science for CBSE Class 11 is a 100-mark subject covering topics like Ethics in Data Science, Assessing Data, Forecasting, Randomization, and an Introduction to R Studio, along with Employability Skills. The assessment includes a 50-mark theory exam and a 50-mark practical exam to evaluate students’ knowledge and skills.
Prerequisites
Prerequisites for learning Data Science in CBSE Class 11 include a foundational understanding of mathematics, particularly statistics, basic computer skills, and logical reasoning. Familiarity with data handling concepts and a basic grasp of programming languages, especially R or Python, is beneficial.
Learning Objectives
The learning objectives of Data Science for CBSE Class 11 are to equip students with skills in data analysis, forecasting, and ethical data use. Students will learn to assess data quality, apply randomization techniques, and use R Studio for practical data science applications.
Course Overview
- Understanding ethical considerations in data handling
- Privacy, confidentiality, and data security
- Addressing bias and fairness in data-driven decisions
- Responsible use of data in society
- Methods for collecting and cleaning data
- Evaluating data quality and accuracy
- Identifying patterns and trends through exploratory data analysis (EDA)
- Visualizing data to draw meaningful insights
- Introduction to time series forecasting
- Techniques for predicting future trends based on historical data
- Applications of forecasting in real-world scenarios
- Hands-on examples using data sets
- Importance of randomization in data science
- Techniques for generating random samples
- Avoiding bias in data collection and analysis
- Applications of randomization in experiments and surveys
- Overview of R programming language and R Studio environment
- Basic syntax, data structures, and functions in R
- Importing and manipulating data in R
- Hands-on exercises using R Studio for data analysis
- Communication Skills
- Self-management Skills
- Information and Communication Technology Skills
- Entrepreneurial Skills
Green Skills
Practical File/ Student Portfolio 20 Marks
Practical Examination 20 Marks
Viva Voce 10 Marks
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Placement Assistance
Placement assistance offered for a successful career.
Membership
Membership provided until the final examination.
Personalized Attention
Personalized attention provided to each student.
Get Course Certificate
Certificate awarded upon completion of the course.
Monthly Tests
Regular monthly test series for progress evaluation.
Latest CBSE Syllabus
Training modules aligned with the latest CBSE syllabus.
Frequently Asked Questions
It includes topics like data ethics, assessing data, forecasting, randomization, and using R Studio.
Basic programming knowledge, especially in R or Python, is helpful but not mandatory
Projects involve data collection, analysis, and forecasting using tools like R Studio.
The exam consists of a 50-mark theory paper and a 50-mark practical exam.
You’ll gain data handling, analysis, forecasting, and programming skills.
Data Science skills are highly valuable for careers in technology, analytics, and business intelligence.
