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Grokking Data Science– Developer Discount
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What will you learn from this course?
1. Python Fundamentals for Data Science
- Creating the Workspace – Jupyter Notebooks
- Python Libraries
- Learning NumPy – An Introduction
- NumPy Basics – Creating NumPy Arrays and Array Attributes
- NumPy Basics – Array Indexing and Slicing
2. The Fundamentals of Statistics
- Statistical Features – Basics
- Statistical Features – Working With Box Plots
- Basics of Probability
3. Machine Learning 101
- Understanding Machine Learning
- Types of Machine Learning Algorithms
4. End-to-End Machine Learning Project
- Kaggle Challenge – Exploratory Data Analysis
- Kaggle Challenge – Data Preprocessing
5. The Real Talk
- How to Get That High-Paying Job
- Imposter Syndrome
- Final Thoughts