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I am a huge proponent of lifelong learning; here is a repo some of the courses I took.

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makism/lifelong-learning

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Microsoft Azure Data Engineering Associate (DP-203) Professional Certificate

Name Credential
1 Microsoft Azure for Data Engineering link / repo file
2 Data Storage in Microsoft Azure link / repo file
3 Data Integration with Microsoft Azure Data Factory link / repo file
4 Introduction to Microsoft Azure Synapse Analytics link / repo file
5 Data Warehousing with Microsoft Azure Synapse Analytics link / repo file
6 Data Engineering with MS Azure Synapse Apache Spark Pools link / repo file
7
8 Microsoft Azure Databricks for Data Engineering link / repo file
9
10

Coursera

Name Issuing Organization Credential
Practical Data Science Specialization deeplearning.ai & AWS link / repo file
Deep Learning Specialization Coursera & deeplearning.ai link / repo file
DeepLearning.AI TensorFlow Developer Professional Certificate Coursera & deeplearning.ai link / repo file
IBM AI Engineering Professional Certificate Coursera & IBM link / repo file
Data Engineering, Big Data, and Machine Learning on GCP Specialization Coursera & Google Cloud link / repo file
Machine Learning with TensorFlow on Google Cloud Platform Coursera & Google Cloud link / repo file
Apache Spark (TM) SQL for Data Analysts Coursera & databricks link / repo fle

Udacity

Name Issuing Organization Credential Projects Repo
Data Engineering Nanodegree Udacity link / repo file udacity-dataengineer-nanodegree

Udemy

Name Credential
Complete Tensorflow 2 and Keras Deep Learning Bootcamp link / repo file
Unsupervised Machine Learning Hidden Markov Models in Python link / repo file
Spark and Python for Big Data with PySpark link / repo file
Taming Big Data with Apache Spark and Python - Hands On! link / repo file
The Data Science Course 2020: Complete Data Science Bootcamp link / repo file
Deployment of Machine Learning Models link / repo file
Tensorflow 2.0: Deep Learning and Artificial Intelligence link / repo file
Go: The Complete Developer's Guide (Golang) link / repo file
Acing the Machine Learning Engineering Interview link / repo file
Microservices Architecture - The Complete Guide link / repo file
Learn How To Code: Google's Go (golang) Programming Language link / repo file
Graph Neural Network - From Graph Representation Learning to Graph Neural Network (Complete Introductory Course to GNN) link / repo file

datacamp

Name Credential
Supervised Learning with scikit-learn link / repo file
Unsupervised Learning in Python link / repo file
Linear Classifiers in Python link / repo file
Machine Learning with Tree-Based Models in Python link / repo file
Extreme Gradient Boosting with XGBoost link / repo file
Cluster Analysis in Python link / repo file
Dimensionality Reduction in Python link / repo file

Neo4j

Name Credential
Overview of Neo4j 4.x repo file
Querying with Cypher in Neo4j 4.x repo file
Creating Nodes and Relationships in Neo4j 4.x repo file

Databricks

Name Credential
Introduction of Unified Data Analytics with Databricks link / repo file
Getting Started with Apache Spark SQL link / repo file
ETL Part 1: Data Extraction link / repo file
ETL Part 2: Tranformations and Loads link / repo file
ETL Part 3: Production link / repo file
MLFlow: Managing the Machine Learning Lifecycle link / repo file
Structured Streaming link / repo file

Suspended

Name Issuing Organization Reason
Machine Learning Scientist with Python Datacamp
Python for Data Structures, Algorithms, and Interviews! Udemy Used only as a refresher.
Master the Coding Interview: Data Structures + Algorithms Udemy Used only as a refresher.
Java Programming Masterclass for Software Developers Udemy Used only as a refresher.
Apache Beam - A Hands-On course to build Big data Pipelines Udemy Don't have the extra time to put into this course.
Machine Learning Engineer Nanodegree Udacity Too expensive.

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I am a huge proponent of lifelong learning; here is a repo some of the courses I took.

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