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  • Main Page
  • Career Tracks
    • Data Scientist with Python
      • Untitled
    • Machine Learning Scientist with Python
  • Courses
    • Courses
      • Supervised Learning with scikit-learn
      • Unsupervised Learning in Python
      • Linear Classifiers in Python
      • Machine Learning with Tree-Based Models in Python
      • Extreme Gradient Boosting with XGBoost
      • Cluster Analysis in Python
      • Dimensionality Reduction in Python
      • Preprocessing for Machine Learning in Python
      • Machine Learning for Time Series Data in Python
      • Feature Engineering for Machine Learning in Python
      • Model Validation in Python
        • Basic Modeling in scikit-learn
        • Validation Basics
        • Cross Validation
        • Selecting the best model with Hyperparameter tuning.
      • Skill Assessment
      • Machine Learning Fundamentals in Python
      • Introduction to Natural Language Processing in Python
      • Feature Engineering for NLP in Python
      • Introduction to TensorFlow in Python
      • Introduction to Deep Learning in Python
      • Introduction to Deep Learning with Keras
        • 1. Introducing Keras
        • Chapter2
      • Introduction to Deep Learning with Keras
      • Advanced Deep Learning with Keras
      • Image Processing in Python
      • Image Processing with Keras in Python
      • Hyperparameter Tuning in Python
      • Introduction to PySpark
      • Machine Learning with PySpark
      • Winning a Kaggle Competition in Python
  • Untitled
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NextData Scientist with Python

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Career Tracks

Python

[Data Analyst]()

Open the door to becoming a data analyst. Master popular libraries like NumPy and gain the skills you need to prepare, analyze, and present data.

62 hours 16 courses

[]()

From data manipulation to machine learning, you'll gain the career-building Python skills you need to succeed in the exciting field of data science!

88 hours 23 courses

[Python Programmer]()

From data manipulation to unit testing, gain the career-building skills you need to succeed as a Python programmer. No prior coding experience needed.

63 hours 16 courses

[]()

A machine learning scientist researches new approaches and builds machine learning models.

93 hours 23 courses

[Data Engineer]()

Gain the in-demand data engineering skills businesses are looking for and learn how to efficiently ingest, manage, and warehouse data.

95 hours 25 courses

https://www.datacamp.com/tracks/data-analyst-with-python
Data Scientist
https://www.datacamp.com/tracks/data-scientist-with-python
https://www.datacamp.com/tracks/python-programmer
Machine Learning Scientist
https://www.datacamp.com/tracks/machine-learning-scientist-with-python
https://www.datacamp.com/tracks/data-engineer-with-python