Version control using Git and GitHub

Creating and collaborating on branches

Data warehousing concepts

Basic SQL querying

Relational databases and advanced SQL

Documenting and graphing databases

Creating BI reports with Tableau

Python foundations

User-defined functions and defining classes

Manipulating data using Pandas and NumPy

Exploratory data analysis

Probability distribution

ANOVA

Chi-squared tests and hypothesis testing

Modeling overview

Training and evaluating models

Cluster analysis and linear, logistic, and decision-tree modeling

Parallelizing python code

Deploying models

Writing fast web-scrapers

Basic backend dev for machine learning

Using ec2 to deploy

Deploying ML pipeline in cloud

Introduction to neural networks: gradient descent, forward pass, and backpropagation

Using PyTorch to build neural networks

Convolutional neural networks and transfer learning

Understanding long short-term memory networks, recurrent neural networks, and word embedding

Working with bert based models

Using generative models: GPT4 (ChatGPT)

Work on a real-world industry project and get first-hand experience of what it means to create business insights from data using the skills acquired in this curriculum