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Data Science Foundations

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Course Description

Data Science is an interdisciplinary field that focuses on extracting meaningful insights and knowledge from large volumes of structured and unstructured data. It combines concepts from statistics, mathematics, programming, and domain knowledge to analyze data and support data-driven decision making. The subject Data Science Foundations introduces students to the fundamental concepts, tools, and techniques used in the field of data science. It provides an understanding of data collection, data preprocessing, exploratory data analysis, visualization, and basic predictive modeling.

Advanced Credit Program

Course Objectives

  • Understand the Basics of Data Science,Gain Practical Experience with Python
  • Learn Data Handling Techniques
  • Create Simple Data Visualizations,Apply Knowledge in a Hands-on Activity
  • Encourage Self-Learning and Exploration
Advanced Credit Program

Course Outcomes

  • CO1: Define key concepts of Data Science, including data analysis, data visualization, and machine learning.
  • CO2: Explain the real-world applications of Data Science across different industries.
  • CO3: Demonstrate the use of Python for basic programming tasks, including variable operations and simple function creation.
Advanced Credit Program

Day Wise Schedule

Day

Topic

Sub-Topic No.

Sub-Topic Title

Detailed Contents

Day 1

Introduction to Data Science and Python

1.1

What is Data Science?

Definition, purpose, real-world examples

1.2

Components of a Data Science

Difference between:Data Science vs AI vs ML vs Analytics

1.3

Real-world applications

Healthcare, Finance, Education etc

1.4

Data Science vs AI

Data Science vs AI vs ML vs Generative AI. How AI systems learn from data

1.5

Introduction to Python

Bandwidth, latency, throughput

Day 2

Role of AI in Data Handling
Introduction to Conditional statements in Python

2.1

Importance of Data Quality in AI

Why AI fails with bad data
Role of data in training AI models

2.2

Bias in Datasets and Its Impact on AI

Bias introduced through datasets,

2.3

Data Collection and Data Preprocessing

Data collection and preprocessing,
Secondary Data Collection Methods,

2.4

Control Flow and Decision Making in Python

CONTROL FLOW, LOOPS, Conditionals: Boolean values and operators,

Day 3

Handling Data & Conditional statements in Python

3.1

Importance of Data Cleaning and Data Integration

Data cleaning,Data integration

3.2

Feature Engineering as a Way to Teach AI Models

Data Methods of Data Cleaning,
Garbage in → Garbage out in AI
Feature engineering as “teaching” the AI
Human judgment vs automated preprocessing

3.3

Use of Conditionals and Iteration in Python Programs

conditional (if) alternative (if-else) chained conditional (if-elif-else) Iteration: while, for

Day 4

Data Reduction, Model Interpretation, Data Visualization, and Python Functions in AI

4.1

Data Reduction Improves Efficiency

Data reduction: Various types of Data Reduction.
Learning Models Visualization as explainable AI

4.2

Storytelling with Data Supports Better Decision Making

AI decisions must be interpretable
Storytelling with data ,

4.3

Functions and Control Statements Improve Program Structure

Break,continue. FUNCTIONS Implementing these Python components with examples.

Day 5

Functions in Python and Fundamentals of Machine Learning in AI

5.1

Functions and Program Flow in Python

Functions ---- function and its use , flow of execution,
parameters and arguments.

5.2

Role of Machine Learning as the Core of AI

ML as the core of AI
Supervised learning as “learning with a teacher”

5.3

Model Evaluation and Fairness in AI Systems

Model evaluation & fairness

Day 6

Case Study / Hands-on Practice /Simulations

Reference Books

  • Shah, Chirag. A Hands-On Introduction to Data Science. United Kingdom, Cambridge University Press, 2020.
  • Géron, A. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. O’Reilly Media, 3rd Edition, 2022.
  • James, G., Witten, D., Hastie, T., & Tibshirani, R. An Introduction to Statistical Learning. Springer, 2nd Edition, 2021.
  • Lin, Johnny Wei-Bing, et al. An Introduction to Python Programming for Scientists and Engineers. India, Cambridge University Press, 2022.

Mentor Details

Know your Mentor

Contact Number

Email Id

Teaching Experience (in Yrs.)

Dr. Preet Kamal

8872204800

preet.e15857@cumail.in

20yrs

What Students say about the Program


The Advanced Credit Program at Chandigarh University has been a game-changer for my academic journey. It gave me the flexibility to accelerate my studies while exploring subjects in greater depth. The curriculum is structured, industry-relevant, and supported by faculty who genuinely want students to grow. What I appreciated most was how the program helped me build confidence—both academically and professionally—by encouraging higher-level thinking and self-discipline. This program doesn’t just add credits; it adds real value to your learning experience and future opportunities.

Mohammad Fahad Siddique
Applied Data Analytics for Business Decisions

Completing the Introduction to AI course with ACP was a game-changer for my career. The curriculum was incredibly well-structured, providing a clear path from foundational concepts to practical applications like Machine Learning and Natural Language Processing. I especially appreciated the hands-on projects, which allowed me to build my first functional AI model. This course didn't just teach me about AI; it gave me the confidence and skills to actively pursue opportunities in one of the world's most exciting and fastest-growing fields. I highly recommend ACP to anyone looking to make a meaningful pivot into technology!

Jaswanth Chidirala
Introduction to AI

The Advanced Credit Program at Chandigarh University has played a transformative role in my academic journey. It offered the flexibility to fast-track my studies while allowing me to delve deeper into key subjects. The well-structured, industry-focused curriculum, combined with the constant support of dedicated faculty, truly enhanced my learning experience. What stood out the most was how the program boosted my academic and professional confidence by promoting critical thinking and self-discipline. This program goes beyond earning extra credits—it meaningfully enriches learning and opens doors to future opportunities.

Shivam
Programming in Python

The Advanced Credit Program at Chandigarh University has been an enriching part of my academic journey. It gave me the flexibility to accelerate my studies without compromising on learning quality. The curriculum is well-structured and closely aligned with industry requirements. Faculty members are supportive and always encourage deeper understanding. The program helped me develop critical thinking and self-discipline. Overall, it added real value to my academic and professional growth.

Danveer Singh
Digital Banking and Fintech essentials

Being a part of the Advanced Credit Program allowed me to explore subjects beyond the regular curriculum. The flexibility offered by the program helped me manage my time efficiently while learning advanced concepts. The industry-relevant content kept me engaged and motivated throughout. Faculty guidance played a crucial role in my learning process. This program significantly boosted my academic confidence. It has positively impacted my future career outlook.

Vivek
Ethical Hacking

The Advanced Credit Program at Chandigarh University provided a perfect blend of academic rigor and flexibility. It enabled me to fast-track my education while gaining in-depth subject knowledge. The structured curriculum ensured clarity and consistency in learning. Faculty members were approachable and supportive at every step. The program enhanced my analytical and problem-solving skills. It truly prepared me for higher academic and professional challenges.

Saanvi Goyal
Basics of Taxation and GST

What I appreciated most about the Advanced Credit Program was its focus on quality learning. The program encouraged independent thinking and a disciplined approach to academics. The industry-oriented curriculum helped me understand real-world applications. Faculty support made complex concepts easier to grasp. I gained confidence in both academic and professional settings. This program goes beyond credits and adds meaningful learning value.

Shivam Singh
Data Visualization using Power BI

The Advanced Credit Program has played an important role in shaping my academic journey. It offered me the opportunity to learn at an advanced level while maintaining flexibility. The curriculum is thoughtfully designed to meet current industry standards. Faculty mentorship helped me stay motivated and focused. The program improved my critical thinking abilities. It has been a valuable addition to my overall learning experience.

Archi
Data Science

Participating in the Advanced Credit Program was a rewarding experience. It allowed me to strengthen my subject knowledge and progress academically at a faster pace. The structured coursework ensured a smooth learning process. Faculty members provided constant support and guidance. The program helped me build confidence and self-discipline. It has greatly contributed to my academic and professional development.

Sneha Kumari
Introduction to Machine Learning

The Advanced Credit Program at Chandigarh University enhanced my learning experience in many ways. The flexibility of the program helped me balance academics effectively. The curriculum is relevant, practical, and well-organized. Faculty encouragement pushed me to think beyond textbooks. I developed a more analytical and confident mindset. This program truly prepares students for future opportunities.

Payal Kumari
Introduction to Blockchain Technology

Through the Advanced Credit Program, I gained exposure to advanced academic concepts and practical learning. The program structure allowed me to manage my studies efficiently. Industry-focused content made the learning experience more meaningful. Faculty support ensured clarity and continuous improvement. The program helped me develop professional confidence. It added significant value to my academic profile.

Seerat
Coding

The Advanced Credit Program has been a transformative academic experience for me. It encouraged deeper learning and a disciplined study approach. The curriculum is designed to meet industry expectations. Faculty members played a key role in guiding and motivating students. The program strengthened my analytical and problem-solving skills. It has positively influenced my career readiness.

Yogendra Kushwaha
Basics of Java Programming

Enrolling in the Advanced Credit Program at Chandigarh University was a great decision. The program allowed me to earn credits faster while focusing on quality education. The structured and industry-relevant curriculum enhanced my understanding of key subjects. Faculty guidance was consistent and supportive. I gained confidence in my academic and professional abilities. This program truly adds long-term value to a student’s journey.

Paras Thakur
Introduction to Robotics

The Advanced Credit Program at Chandigarh University has been a truly transformative part of my academic journey. It provided the flexibility to accelerate my studies while exploring subjects in greater depth. The curriculum is well-structured, industry-focused, and aligned with practical learning needs. Continuous guidance and support from dedicated faculty enhanced the overall learning experience. The program encouraged critical thinking and a disciplined approach to academics. It significantly boosted my academic and professional confidence. This program adds real value by preparing students for future opportunities beyond extra credits.

Astha Chauhan
Basics of Microsoft Excel

The Advanced Credit Program at Chandigarh University has had a meaningful impact on my academic growth. It allowed me to progress faster while gaining a deeper understanding of important subjects. The industry-oriented and well-organized curriculum ensured practical and relevant learning. Faculty members were consistently supportive and approachable throughout the program. The program fostered critical thinking, self-discipline, and independent learning. It helped strengthen both my academic foundation and professional confidence. Overall, this program goes beyond credits by creating long-term academic and career value.

Sumanpreet Kaur
Social Media Marketing