Course Content
Introduction to Data Science and Python
Data Wrangling and Analysis
Advanced Pandas Operations SQL for Data Analysis
Statistics and Probability
Supervised Learning Models
Unsupervised Learning Models
Module 1: Introduction to Deep Learning
Module 2: Neural Networks
Module 3: Deep Learning for NLP
Module 4: Convolutional Neural Networks (CNNs)
Session 1: Flask for Web Applications
Session 2: Python Web Scraping
Session 3: Docker Basics
Session 4: Azure Integration
Session 5: MongoDB Integration
Data Scientist Course Projects Outline