AWS Certified Machine Learning – Specialty
Google Machine Learning Immersion - Advanced Solutions Lab (One month full-time in person training)
Hortonworks HDP Certified Spark Developer
Udacity Deep Learning Nanodegree

Tableau Desktop 10 Qualified Associate

Deep Learning Coursera Specialization by Andrew Ng

Neural Networks and Deep Learning

Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization

Structuring Machine Learning Projects

Convolutional Neural Networks

Sequence Models

Machine Learning with TensorFlow on Google Cloud Platform

How Google does Machine Learning

Launching into Machine Learning

Intro to TensorFlow

Feature Engineering

Art and Science of Machine Learning

Complete Guide to TensorFlow for Deep Learning with Python

Machine Learning

BerkeleyX: CS100.1x Intro to Big Data with Apache Spark

BerkeleyX: CS190.1x Scalable Machine Learning with Apache Spark

BerkeleyX: CS120x Distributed Machine Learning with Apache Spark

BerkeleyX: CS105x Introduction to Apache Spark

BerkeleyX: Big Data

Building Recommendation Engines with PySpark

Python Programming Track from Datacamp

Practical Machine Learning

MITx - 6.00.1x Intro to Computer Science and Programming Using Python

Developing Data products

DAT201x: Querying with Transact-SQL

Programming

Reproducible Research

The Data Scientist’s Toolbox

Getting and Cleaning Data

Regression Models

MITx: 15.071x The Analytics Edge

HTML5

Statistical Inference

Exploratory Data Analysis

Tableau 9 For Data Science: REAL-Life Data Science Exercises

Tableau for Beginners - Get Certified Accelerate Your Career

Tableau 9 Advanced Training: Master Tableau for Data Science

Text Mining, Scraping and Sentiment Analysis with R

Data Visualization and Communication with Tableau

Bayesian Statistics: From Concept to Data Analysis (with Honors)

Supervised Learning with scikit-learn

Pandas Foundations

Merging Dataframes with Pandas

Manipulating Dataframes with Pandas

Cleaning Data in Python

Importing Data in Python (Part 1)

Importing Data in Python (Part 2)

Python Data Science Toolbox (Part 1)

Intermediate Python for Data Science

Intro to Python for Data Science

Machine Learning Toolbox

Data Analysis in R, the data.table Way

Joining data in R with dplyr

Writing Functions in R

Complete Elasticsearch Masterclass with Logstash and Kibana

Spark and Python for Big Data with PySpark

Certificate in QlikSense Analytics Development

HDPCD:Spark using Python (pyspark)

Extreme Gradient Boosting with XGBoost

Unsupervised Learning in Python

Introduction to Databases in Python

Machine Learning with Tree-Based Models in R