A list of my accomplishments thus far.
- Analyzing your data with Amazon Redshift
- AWS Cloud Practitioner (CLF-C01) Certification Preparation for AWS
- Terraform Associate Certication Exam Preparation
- Start Modelling Data with Amazon SageMaker
- The Infrastructure Developer's Guide to Terraform: AWS Edition
- Introduction to Kubernetes
- DP-100 Exam Prep: Designing and Implementing a Data Science Solution on Azure
- Getting Started With NGINX
- Introduction to Ansible
- Introduction to Azure Machine Learning
- Combining DevOps Tools at Scale-Jenkins, SonarQube, Artifactory, Splunk and Jira
- Fundamentals of AWS
- Computer Vision Basics
- Convolutional Neural Networks
- Deep Learning
- Exploratory Data Analysis for Machine Learning
- Improving Deep Neural Networks Hyperparameter
- Neural Networks and Deep_Learning
- Sequence Models
- SQL for Data Science
- Structuring Machine Learning Projects
- Supervised Machine Learning Regression
- Data Engineer with Python
- Cleaning Data with PySpark
- Big Data Fundamentals with PySpark
- Introduction to Scala
- Database Design
- Introduction to MongoDB in Python
- Introduction lational Databases in SQL
- Building Data Engineering Pipelines in Python
- Data Processing in Shell
- Introduction to Airflow in Python
- Introduction to AWS Boto in Python
- Introduction to Bash Scripting
- Introduction to PySpark
- Introduction to Shell
- Introduction to SQL
- Linear Classifiers in Python
- Machine Learning for Everyone
- Machine Learning with Tree-Based Model in Python
- Parallel Programming with Dask in Python
- Streamlined Data Ingestion with pandas
- Supervised Learning with scikit-learn
- Unsupervised Learning in Python
- Creating PostgreSQL Databases
- Data Engineering for Everyone
- Image Processing in Python
- Introduction to Data Engineering