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Coursera

Applied Data Science with Python Specialization:

  1. Introduction to Data Science in Python
  2. Applied Plotting, Charting & Data Representation in Python
  3. Applied Machine Learning in Python
  4. Applied Text Mining in Python
  5. Applied Social Network Analysis in Python

IBM Data Science Professional Certificate

  1. What is Data Science
  2. Open Source tools for Data Science
  3. Data Science Methodology
  4. Python for Data Science
  5. Databases and SQL for Data Science
  6. Data Visualization with Python
  7. Data Analysis with Python
  8. Machine Learning with Python
  9. Applied Data Science Capstone

Advanced Data Science with IBM

  1. Fundamentals of Scalable Data Science
  2. Advanced Machine Learning and Signal Processing
  3. Applied AI with DeepLearning
  4. Advanced Data Science Capstone

Genomic Data Science

  1. Introduction to Genomic Technologies
  2. Genomic Data Science with Galaxy
  3. Python for Genomic Data Science
  4. DNA Sequencing
  5. Command Line Tools for Genomic Data Science
  6. Bioconductor for Genomic Data Science
  7. Statistics for Genomic Data Science
  8. Genomic Data Science Capstone

Executive Data Science

  1. Data Science Course
  2. Build Data Science Team
  3. Managing Data Analysis
  4. Real Life Data Science
  5. Executiva Data Science Capstone

Deep Learning Specialization

  1. Neural Networks and Deep Learning
  2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
  3. Structuring Machine Learning Projects
  4. Convolutional Neural Networks
  5. Sequence Models

Advanced Machine Learning Specialization

  1. Introduction to Deep Learning
  2. How to Win a Data Science Competition: Learn from Top Kagglers
  3. Bayesian Methods for Machine Learning
  4. Practical Reinforcement Learning
  5. Deep Learning in Computer Vision
  6. Natural Language Processing
  7. Addressing Large Hadron Collider Challenges by Machine Learning

Statistics with Python

  1. Understanding and Visualizing Data with Python
  2. Inferential Statistical Analysis with Python
  3. Fitting Statistical Models to Data with Python

Obs.: You can enroll for free in each course clicking in "participate as listener".

Cognitiveclass.ai

  1. Introduction to Data Science
  2. Data Science Tools
  3. Data Science Methodology
  1. Python for Data Science
  2. Data Analysis with Python
  3. Data Visualization with Python
  1. Deep Learning Fundamentals
  2. Deep Learning with TensorFlow
  3. Accelerating Deep Learning with GPU

edX

  1. Python for Data Science
  2. Probability and Statistics in Data Science using Python
  3. Machine Learning Fundamentals
  4. Big Data Analytics Using Spark
  1. Artificial Intelligence
  2. Machine Learning
  3. Robotics
  4. Animation and CGI Motion
  1. Algorithmic Design and Techniques
  2. Data Structures Fundamentals
  3. Graph Algorithms
  4. NP-Complete Problems
  5. String Processing and Pattern Matching Algorithms
  6. Dynamic Programming: Applications In Machine Learning and Genomics
  7. Graph Algorithms in Genome Sequencing
  8. Algorithms and Data Structures Capstone
  1. Statistical Thinking for Data Science and Analytics
  2. Machine Learning for Data Science and Analytics
  3. Enabling Technologies for Data Science and Analytics: The Internet of Things
  1. Probability - The Science of Uncertainty and Data
  2. Data Analysis in Social Science—Assessing Your Knowledge
  3. Fundamentals of Statistics
  4. Machine Learning with Python: from Linear Models to Deep Learning

***Obs: You can audit the courses for free if you don't want a certificate.

Others