Course Python for Data Science and Machine Learning Bootcamp

Course Python for Data Science and Machine Learning Bootcamp – Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more!


Language: English

Platform: Udemy



What you´ll learn

  • Use Python for Data Science and Machine Learning
  • Use Spark for Big Data Analysis
  • Implement Machine Learning Algorithms
  • Learn to use NumPy for Numerical Data
  • Learn to use Pandas for Data Analysis
  • Learn to use Matplotlib for Python Plotting
  • Learn to use Seaborn for statistical plots
  • Use Plotly for interactive dynamic visualizations
  • Use SciKit-Learn for Machine Learning Tasks
  • K-Means Clustering
  • Logistic Regression
  • Linear Regression
  • Random Forest and Decision Trees
  • Natural Language Processing and Spam Filters
  • Neural Networks
  • Support Vector Machines



  • Some programming experience
  • Admin permissions to download files



Are you ready to start your path to becoming a Data Scientist!

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems!

This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

We’ll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:

  • Programming with Python
  • NumPy with Python
  • Using pandas Data Frames to solve complex tasks
  • Use pandas to handle Excel Files
  • Web scraping with python
  • Connect Python to SQL
  • Use matplotlib and seaborn for data visualizations
  • Use plotly for interactive visualizations
  • Machine Learning with SciKit Learn, including:
  • Linear Regression
  • K Nearest Neighbors
  • K Means Clustering
  • Decision Trees
  • Random Forests
  • Natural Language Processing
  • Neural Nets and Deep Learning
  • Support Vector Machines
  • and much, much more!


Who is the target audience?

  • This course is meant for people with at least some programming experience


Course content:

  • Course Introduction
  • Environment Set-Up
  • Jupyter Overview
  • Python Crash Course
  • Python for Data Analysis – NumPy
  • Python for Data Analysis – Pandas
  • Python for Data Analysis – Pandas Exercises
  • Python for Data Visualization – Matplotlib
  • Python for Data Visualization – Seaborn
  • Python for Data Visualization – Pandas Built-in Data Visualization
  • Python for Data Visualization – Plotly and Cufflinks
  • Python for Data Visualization – Geographical Plotting
  • Data Capstone Project
  • Introduction to Machine Learning
  • Linear Regression
  • Cross Validation and Bias-Variance Trade-Off
  • Logistic Regression
  • K Nearest Neighbors
  • Decision Trees and Random Forests
  • Support Vector Machines
  • K Means Clustering
  • Principal Component Analysis
  • Recommender Systems
  • Natural Language Processing
  • Big Data and Spark with Python
  • Neural Nets and Deep Learning


Udemy Instrutor - Jose Portilla
Jose Portilla (Data Scientist)

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