About Instructor
Hello everyone, my name is Kashyap Agarwal and I will be your instructor for this course. I am excited to be here and to have this opportunity to disseminate knowledge in this field. I am looking forward to getting to know each and every one of you through the course. A core team member of the Consulting and Analytics Club, IITG, I have 3 years of experience and have spent the past few years teaching and mentoring students. I am passionate about the field and hope to instill the same passion in all of you. I am committed to creating a supportive and engaging learning environment for all of my students, and I am always available to help you succeed. I look forward to getting to know each and every one of you over the 4 weeks.
Introduction to Python and Python Libraries for Analytics
Overview of Python and its applications in data analysis
Basic Python programming concepts such as variables, data types, loops, and functions
Introduction to NumPy, Pandas, and Matplotlib libraries
Machine Learning Algorithms in Python
Introduction to supervised and unsupervised learning
Linear regression, logistic regression, and k-nearest neighbours' algorithms
Decision trees and random forests algorithms
Hands-on practice building machine learning models in Python
Model Tuning and Evaluation
Techniques for evaluating model performance, such as cross-validation and ROC analysis
Hyperparameter tuning with Grid Search and Random Search
Ensembling techniques, such as bagging and boosting
Best practices for model selection and deployment
Tree-Based Algorithms in Python
Introduction to Gradient Boosting and XGBoost
Understanding the concepts of Boosting and Shrinkage
Hands-on practice building tree-based models in Python
Application of tree-based models in real-world scenarios, such as fraud detection and customer segmentation
Testimonials
What are they saying
Jena Karlis
As someone who had no prior experience with Python, I was a bit intimidated by the idea of an analytics course. However, the instructor did an excellent job of breaking down the concepts and making them accessible to everyone. The hands-on exercises and assignments were challenging but achievable, and I appreciated the feedback and support I received from the instructor. I found the tree-based algorithms section particularly fascinating and helpful in my work. I highly recommend this course to anyone looking to enhance their analytics skills
Rakesh
This summer analytics course was one of the best investments I've made in my career. The instructor was extremely knowledgeable and provided hands-on guidance and support throughout the course. I appreciated the mix of lectures and hands-on exercises, which helped me solidify my understanding of the concepts. The course structure was well-organized, and the online platform provided easy access to the tools and resources needed for the course. I feel much more confident in my data analysis skills now, and I'm excited to apply what I've learned in my work
Ritwij
I've taken several online analytics courses in the past, and this one was by far the best. The instructor was engaging and knowledgeable, and the course content was relevant and up-to-date. I appreciated the focus on practical applications of the concepts, and the emphasis on using real-world datasets. The online platform was user-friendly and provided all the tools and resources needed for the course. I feel much more confident in my ability to build and evaluate machine learning models after completing this course. Thank you!"