The Data Science Bootcamp in Python

Description

In this course, you’ll learn how to get started in data science. You don’t need any prior knowledge in programming. We’ll teach you the Python basics you need to get started.  Here are the items we’ll cover in this course

• The Data Science Process
• Python for Data Science
• NumPy for Numerical Computation
• Pandas for Data Manipulation
• Matplotlib for Visualization
• Seaborn for Beautiful Visuals
• Plotly for Interactive Visuals
• Introduction to Machine Learning
• Dask for Big Data
• Deep Learning & Next Steps

For the machine learning section here are some items we’ll cover :

• How Algorithms Work
• Advantages & Disadvantages of Various Algorithms
• Feature Importances
• Metrics
• Cross-Validation
• Fighting Overfitting
• Hyperparameter Tuning
• Handling Imbalanced Data

Who this course is for:

• People who would like to get started with data science without any prior knowledge

What you’ll learn

• Python for Data Science
• The Data Science Process
• NumPy for Numerical Computation
• Pandas for Data Manipulation
• Matplotlib for Visualization
• Seaborn for Beautiful Visuals
• Plotly for Interactive Visuals
• Introduction to Machine Learning
• Dask for Big Data
• LightGBM
• XGBoost
• CatBoost
• Linear Regression
• Logistic Regression
• Decision Trees
• Random Forest

HOMEPAGE – https://www.udemy.com/course/data-science-bootcamp-in-python/

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