Post Graduate Program in Data Science 

Induction Class for Caltech Post Graduate Program in Data Science
Welcome to this PG in Data Science, in collaboration with Caltech CTME and IBM, which will help you become an expert in the data science domain.
PGC DS- Programming Refresher
Acquire proficiency in both procedural and object-oriented programming.
Recognize the advantages and benefits of using Python as a programming language.
Install Python and its integrated development environment.
Familiarize yourself with the Jupyter Notebook and its hands-on applications.
Implement Python identifiers, indentations, and comments effectively.
Understand Python's data types, operators, and string functions.
Learn about the various types of loops in Python.
Describe methods, attributes, and access modifiers in Python.

PGC DS- SQL
Attain a thorough grasp of databases and their interconnections.
Gain proficiency in utilizing popular query tools and handling SQL commands.
Learn managing databases efficiently, covering transactions, table creation, and utilizing views.
Comprehend and successfully execute stored procedures for the execution of complex operations.
Explore a range of SQL functions, including those related to strings, mathematics, date and time, and pattern matching.
Grasp the functions related to user access control to ensure the security of databases.

PGC DS- Applied Data Science with Python
Learn phases of data preparation, model construction, and assessment.
Develop a solid grasp of NumPy and its hands-on applications, encompassing array indexing and slicing techniques.
Elaborate on the null hypothesis and the alternative hypothesis within the context of hypothesis testing.
Examine various hypothesis tests, including the Z-test, T-test, and ANOVA.
Engage with pandas' core data structures, namely Series and DataFrame.
Leverage pandas for tasks.
Generate compelling visualizations using libraries like Matplotlib, Seaborn, Plotly, and Bokeh.

PGC DS- Machine Learning
Scrutinize the machine learning pipeline and attain a thorough comprehension of the essential processes integral to machine learning operations
Investigate both supervised and unsupervised learning techniques.
Detect and generate correlation maps to explore the relationships between variables.
Enumerate various types of classification algorithms and grasp their specific hands-on applications.
Explore assorted ensemble modeling methods, such as bagging, boosting, and stacking.
Construct a recommendation system utilizing PyTorch.

PGC DS - Deep Learning Specialization
Deploy deep learning model with AI/ML frameworks.
Explore the fundamental concepts and real-world applications of deep learning.
Ascertain the difference between deep learning vs. machine learning.

PGC DS - Generative AI Literacy
Supervised & Unsupervised Learning
Transformers
Generative Adversarial Network(GAN)
OpenAI Playground 

PGC DS - Generative AI for Data Professionals
Explore generative AI's role in data science
Learn about the applications of Gen AI across industries
Overcome lifecycle challenges of generative AI
Leverage Gen AI to understand data and build models

PGC DS - Prompt Engineering Essentials - IBM

PGC DS - Data Science Capstone Project
The data science and Gen AI capstone project provides an opportunity to apply the skills you acquired during this program. With the guidance of dedicated mentors, you will address a real-world, industry-aligned data science problem. This comprehensive project covers data processing, model building, and reporting business results and insights. It’s the final step in your learning journey and enables you to demonstrate your data science skills and knowledge to employers.
Electives:
PGC DS - Academic Masterclass by Caltech
PGC DS - Industry Masterclass
PGC DS- Data Storytelling using PowerBI
PGC DS - Generative AI Essentials - IBM
PGC DS - Generative AI Skills for Data Scientists - IBM
PGC DS - Natural Language Processing