Here is the course outline:
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Introduction to Data Science
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Client Brief & Data Science Ecosystem
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Data Acquisition & Preparation
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Exploratory Data Analysis
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EDA & Data Visualization
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Bike Sharing Demand
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Client Project Review (Round 1)
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Data Cleaning
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Data Manipulation Using Pandas
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Data Manipulation Using Pandas - Part 2
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Masterclass or Part 1 Recap
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Practical EDA : The Titanic (Mini-project)
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Revision & Feedback Session
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Introduction to Databases using MySQL
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Understanding and Using SQL - Part 1
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Working with SQL - Part 2
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Machine Learning Principles
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Working with Machine Learning
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Client Brief Review & Portfolio Presentation
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End of Level Review
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