| 1 |
The Data Scientist’s Toolbox |
Johns Hopkins University |
Coursera |
|
R, RStudio, Git, Markdown |
| 2 |
R Programming |
Johns Hopkins University |
Coursera |
|
R, RStudio |
| 3 |
Complete Python Bootcamp |
Jose Portilla |
Udemy |
|
Python Programming |
| 4 |
Open Source tools for Data Science |
IBM Professional Certificate |
Coursera |
|
R, RStudio, Git, IBM Watson Studio, Jupyter Notebooks, APIs, SSH (Secure Shell) |
| 5 |
What is Data Science |
IBM Professional Certificate |
Coursera |
|
Data Science domains, Big Data basics, Applications of Data Science |
| 6 |
Data Science Methodology |
IBM Professional Certificate |
Coursera |
|
Data Science/Machine Learning Project lifecycle |
| 7 |
Data Analysis with Python |
IBM Professional Certificate |
Coursera |
|
Python, Data Preprocessing, Data Modelling, Exploratory Analysis, ANOVA (Analysis of Variance), Model Development for Regression & Classification, Pipelines |
| 8 |
How Google does Machine Learning |
Google Cloud |
Coursera |
|
Machine Learning in Google Products, Google Cloud Platform (BigQuery, Cloud Datalab, AI Platform Notebooks, Machine Learning APIs) |
| 9 |
Google Cloud Platform Fundamentals: Core Infrastructure |
Google Cloud |
Coursera |
|
Google Cloud Platform core services, Identity and Access Management (IAM), Compute Engine, GCP storage services, Google Cloud Machine Learning Platform |
| 10 |
Getting Started with AWS Machine Learning |
Amazon Web Services |
Coursera |
|
Machine Learning, AWS AI Services - Computer Vision (Rekognition, Deeplens) & NLP (Comprehend, Translate, Transcribe), Amazon Sagemaker |
| 11 |
AWS Computer Vision: Getting Started with GluonCV |
Amazon Web Services |
Coursera |
|
Python, AWS Machine Learning stack, Apache MXNet, Gluon, GluonCV |
| 12 |
Deep Learning A-Z: Hands-On Artificial Neural Networks |
SuperDataScience |
Udemy |
|
Python, Deep Learning, ANN, CNN, RNN, LSTM, SOM, Boltzmann Machine, AutoEncoder |
| 13 |
Natural Language Processing with Classification and Vector Spaces |
Deeplearning.ai |
Coursera |
|
Python, Text Data Preprocessing, Sentiment Analysis (Logistic Regression & Naïve Bayes), Vector Space models |
| 14 |
Natural Language Processing with Probabalistic Models |
Deeplearning.ai |
Coursera |
|
Python, Part of Speech tagging, Hidden Markov models, Viterbi algorithm, N-grams, Word embeddings, Continuous bag of words (CBOW) model |
Photo credit: Skltwn