IIT Kanpur Certificate Program on Python & QISKIT
for Data Science, Data Analytics, Machine Learning and Quantum Computing
                                      1^st March to 27^th March 2026

      Organized by Prof. Aditya K. Jagannatham, EE Department, IIT Kanpur

Below is the detailed day-to-day & slot-wise program with Lecture Modules & Hands-On Coding Sessions for the IIT KANPUR Certificate Program on Python & QISKIT for Data Science, Data Analytics, Machine Learning and Quantum Computing from 1^st to 27^th March 2026

	1st March, 2026
12:00 PM - 01:00 PM	Zoom Test Session and PYTHON check
	Week-1
	2th March, 2026
6:00 PM - 7:30 PM	Module 1: Data Science Project 1: Introduction to Programming in PYTHON  •   Data Types  •   Lists  •   Tuple objects  •   Dictionary objects
7:30 PM - 8:00 PM	Break
8:00 PM - 9:15 PM	Lecture 1: Introduction to Data Science  •   Descriptive Statistics  •   Data Representation
	3rd March, 2026
6:00 PM - 7:30 PM	Project 2: PANDAS Package in PYTHON for Data Analysis  •   Data Wrangling  •   Data Summary  •   Missing Values  •   Data Slicing  •   ILOC and LOC  •   Data Filtering  •   Logical Operations  •   Column Operations
7:30 PM - 8:00 PM	Break
8:00 PM - 9:15 PM	Lecture 2: Basics of Statistical Analysis for Data Science  •   Statistical Quantities  •   Quartiles  •   Interquartile Range (IQR)  •   Five Number Summary
	4th March, 2026
-	Break Day
	5th March, 2026
6:00 PM - 7:30 PM	Lecture 3: Probabilistic Data Analysis  •   Random Variables  •   Probability Density functions  •   Cumulative Distributions
7:30 PM - 8:00 PM	Break
8:00 PM - 9:15 PM	Lecture 4: Matrix Representations and Computations for Data Analytics  •   Inner Products  •   Orthogonality  •   Equation Systems  •   Matrix Inversion
	6th March, 2026
6:00 PM - 7:30 PM	Project 3: PYTHON NUMPY Package for Highspeed Numerical Computation and Random Data Analytics Array Creation  •   Matrix Manipulations  •   Data and Logical operations  •    Histogram Visualization
7:30 PM - 8:00 PM	Break
8:00 PM - 9:15 PM	Module 2: Data Analytics Project 4: PYTHON Seaborn Package for Analytics  •   Histograms  •   Scatter Plot  •   Multiple Views  •   Boxplot  •   Violin Plots  •   Swarm Plots  •   Contour Plots  •   Strip Plots  •   Hex Plot  •   KDE and Gaussian Fit
	Week-2
	9th March, 2026
6:00 PM - 7:30 PM	Lecture 5: Matrix Decompositions for Data Analytics  •   Eigenvalue Properties  •   Special Matrices  •   Singular Value Decomposition (SVD)  •   Properties of SVD
7:30 PM - 8:00 PM	Break
8:00 PM - 9:15 PM	Test prep 1: Test preparation 1  •   Interview problem solving session  •   Solution discussion
	10th March, 2026
6:00 PM - 7:30 PM	Module 3: Machine Learning Lecture 6: Principal Component Analysis (PCA)  •   Data Compression  •   Principal Directions  •   Covariance Estimation  •   From SVD to PCA
7:30 PM - 8:00 PM	Break
8:00 PM - 9:15 PM	Project 5: PYTHON for Data Visualization using Matplotlib and Matrix Decompositions  •   Matplotlib package and PYTHON plots  •   Subplots  •   Barplots  •   Scatterplot  •   Matrix inversion  •   Determinant computation  •   Matrix rank  •   Eigenvalue/ eigenvector computation  •   Singular Value Decomposition
	11th March, 2026
-	Break Day
	12th March, 2026
6:00 PM - 7:30 PM	Lecture 7: Linear Regression and Prediction for Business Analysis  •    Linear Regression  •   Multiple Regressors  •   Regression Coefficient Estimation  •   Pseudoinverse  •   Regression Coefficient Computation
7:30 PM - 8:00 PM	Break
8:00 PM - 9:15 PM	Project 6: PYTHON Project in PCA using IRIS Dataset  •   PCA fit  •   Sklearn Datasets  •   Matplotlib
	13th March, 2026
6:00 PM - 7:30 PM	Lecture 8: Logistic Regression-Based Machine Learning  •   Logistic function  •   Probabilities  •   Likelihood and ML  •   Logistic Regression Metrics  •   Confusion Matrix
7:30 PM - 9:30 PM	Break
8:00 PM - 9:15 PM	Project 7: Regression Analysis using the IRIS Dataset  •   SKLearn  •   Linear Model  •    IRIS Features Project 8: Regression Modeling of House Prices using Boston Housing Dataset  •   Test-Train split  •   Boston Dataset Features  •   MSE/ RMSE  •   Regression Plot
	Week-3
	16th March, 2026
6:00 PM - 7:30 PM	Lecture 9: Data Clustering for Machine Learning  •   K-Means Algorithm  •   Centroid Selection  •   Cluster Assignment  •   Elbow Method  •   Silhouette Score
7:30 PM - 8:00 PM	Break
8:00 PM - 9:15 PM	Project 9: SCIKIT Package for Logistic Regression using Purchase/ Shopping Data for Social Network Ads  •   Purchase Dataset Features  •   Logistic Regression Fit  •   Confusion Matrix Display  •   Data Scaling
	17th March, 2026
6:00 PM - 7:30 PM	Module 4: Quantum Computing Lecture 10: Introduction to Qubits  •   Superposition States  •   Quantum Gates  •   Pauli X  •   Pauli Z  •   Hadamard Gate  •   Quantum Circuits
7:30 PM - 8:00 PM	Break
8:00 PM - 9:15 PM	Project 10: Data Clustering Analysis using PYTHON  •   K-Means Algorithm  •   Optimal Number of Clusters  •   Elbow Method  •   Silhouette Score
	18th March, 2026
-	Break Day
	19th March, 2026
6:00 PM - 7:30 PM	Lecture 11: Introduction to Multiple Qubit Systems  •   Tensor Product  •   CNOT Gate  •   Bell States  •   Entanglement
7:30 PM - 8:00 PM	Break
8:00 PM - 9:15 PM	Lecture 12: Quantum teleportation  •   EPR (Einstein, Podolsky, and Rosen) Pair  •   Alice-Bob Teleportation Protocol  •   State Transformations
	20st March, 2026
6:00 PM - 7:30 PM	Project 11: Qiskit for Simulation and visualization of Qubits  •   Simulation of Quantum Gates  •   Hadamard Gate  •   Qiskit Primitives  •   Sampler  •   Multiple Qubit Quantum circuits  •   CNOT Gate
7:30 PM - 8:00 PM	Break
8:00 PM - 9:15 PM	Project 12: Simulation of Quantum teleportation in Qiskit  •   Quantum Circuit for Teleportation
	Week-4
	23rd March, 2026
6:00 PM - 7:30 PM	Distinguished Guest Lecture 1: Dr. Aditya Kanade, Senior principal researcher, Microsoft Research India
7:30 PM - 8:00 PM	Break
8:00 PM - 9:15 PM	Lecture 13: Quantum computation: Deutsch Algorithm  •   Binary functions  •   Constant/ Balanced  •   Oracle Functions  •   Phase Kickback
	24th March, 2026
06:00 PM - 7:30 PM	Test Prep 2: Test preparation 2  •   Interview problem solving session  •   Solution discussion
7:30 PM - 8:00 PM	Break
8:00 PM - 9:15 PM	Project 13: Simulation of Deutsch Algorithm in Qiskit  •   Deutsch Circuit  •   Qiskit Simulator
	25th March, 2026
-	Break Day
	26th March, 2026
6:00 PM - 7:30 PM	Distinguished Guest Lecture 2: Dr. Dhinakaran Vinayagamurthy, Quantum Innovation Center Lead, IBM Quantum
7:30 PM - 8:00 PM	Break
8:00 PM - 9:15 PM	Lecture 14: Bernstein Vazirani Algorithm  •   Quantum computation  •   Classical versus Quantum Solution  •   BV Circuit and Analysis
	27th March, 2026
6:00 PM - 7:30 PM	Lecture 15: Grover Algorithm  •   Superposition  •   Grover Diffusion Operations  •   Complexity
7:30 PM - 8:00 PM	Break
8:00 PM - 9:15 PM	Project 14: Simulation of Vazirani Algorithm in Qiskit  •   QASM Simulator  •   AER  •   BV Circuit Project 15: Simulation of Grover's Algorithm in Qiskit  •    Quantum Oracle  •   Grover Diffusion Circuit