Introduction
Session 1: Introduction to Business and Analytics
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Prerequisites: Why Master Strings? Unleash Text Power! (24:56)
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Prerequisites: Lists Unpacked: What Can They Do? (15:56)
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Prerequisites: Tuples: Why Are They Immutable? (10:54)
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Prerequisites: Sets: Why Unique Matters? (10:54)
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Prerequisites: Dictionaries: Why Key-Value Pairs? (10:05)
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Workshop (71:51)
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Quiz
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Coding Quest
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Resources
Session 2: Project: Mini Capstone on Python Basics
Session 3: Developing Python Applications with Numpy
Session 4: Introduction to AWS for Data Analytics
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Prerequisites: Pandas (53:31)
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Prerequisites: Intro to AWS (18:10)
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Prerequisites: Starting with AWS: Free Tier Account Setup (2:33)
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Prerequisite: Effortless S3 Bucket Setup (7:25)
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Prerequisite: Setting Up Your First AWS RDS Instance: A Step-by-Step Guide (7:35)
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Prerequisite: Mastering AWS RDS: Connecting via Client (6:57)
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Prerequisite: Quick Start Guide: Setting Up AWS SageMaker for Machine Learning (8:16)
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Prerequisite: Integrating AWS S3 with SageMaker Jupyter Notebooks - Part 1 (17:32)
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Prerequisite: Integrating AWS S3 with SageMaker Jupyter Notebooks - Part 2 (5:40)
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Prerequisite: Connecting to RDS from AWS SageMaker Jupyter Notebook (6:46)
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AWS Architecture
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Workshop (10:34)
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Resources
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Quiz
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Coding Quest
Session 5: Harnessing AWS for Big Data: PySpark and SQL Deep Dive
Session 6: Azure Integration Deep Dive: From Setup to Data Insights
