Docker Mastery: with Kubernetes +Swarm from a Docker Captain

Learn about Data Science and Machine Learning with Python! Including Numpy, Pandas, Matplotlib, Scikit-Learn and more!

Created by: Jose Portilla
Head of Data Science at Pierian Training

Created by: Pierian Training
Data Science and Machine Learning Training

What Will I Learn?

• You will learn how to use data science and machine learning with Python.
• You will create data pipeline workflows to analyze, visualize, and gain insights from data.
• You will build a portfolio of data science projects with real world data.
• You will be able to analyze your own data sets and gain insights through data science.
• Master critical data science skills.
• Understand Machine Learning from top to bottom.
• Replicate real-world situations and data reports.
• Learn NumPy for numerical processing with Python.
• Conduct feature engineering on real world case studies.
• Learn Pandas for data manipulation with Python.
• Create supervised machine learning algorithms to predict classes.
• Learn Matplotlib to create fully customized data visualizations with Python.
• Create regression machine learning algorithms for predicting continuous values.
• Learn Seaborn to create beautiful statistical plots with Python.
• Construct a modern portfolio of data science and machine learning resume projects.
• Learn how to use Scikit-learn to apply powerful machine learning algorithms.
• Get set-up quickly with the Anaconda data science stack environment.
• Learn best practices for real-world data sets.
• Understand the full product workflow for the machine learning lifecycle.
• Explore how to deploy your machine learning models as interactive APIs.

Requirements

• Basic Python Knowledge (capable of functions)

Target audience

• Beginner Python developers curious about Machine Learning and Data Science with Python