- IBM Data Science ✅
- IBM Data Analyst ✅
- IBM Data Engineer ✅
- IBM Data Warehouse ✅
- IBM NoSQL & Big Data ✅
- IBM DevOps ⏳ (see progress below)
- IBM Full-Stack Cloud Native ⏳ (see progress below)
- Data Warehouse ✅
- Introduction to Data Engineering [91.20%]
- Introduction to Relational Databases (RDBMS) [91.70%]
- Databases and SQL for Data Science with Python [98.84%]
- Hands-on Introduction to Linux Commands and Shell Scripting [94%]
- Relational Database Administration (DBA) [95.80%]
- ETL and Data Pipelines with Shell, Airflow and Kafka [94%]
- Getting Started with Data Warehousing and BI Analytics [94%]
- NoSQL, Big Data and Spark ✅
- Introduction to NoSQL Databases [94%]
- Introduction to Big Data with Spark and Hadoop [94.3%]
- Data Engineering and Machine Learning using Spark [100%]
- Data Engineering ✅
- Introduction to Data Engineering [91.20%]
- Python for Data Science, AI & Development [94.60%]
- Python Project for Data Engineering [100%]
- Introduction to Relational Databases (RDBMS) [91.70%]
- Databases and SQL for Data Science with Python [98.84%]
- Hands-on Introduction to Linux Commands and Shell Scripting [94%]
- Relational Database Administration (DBA) [95.80%]
- ETL and Data Pipelines with Shell, Airflow and Kafka [94%]
- Getting Started with Data Warehousing and BI Analytics [94%]
- Introduction to NoSQL Databases [94%]
- Introduction to Big Data with Spark and Hadoop [94.3%]
- Data Engineering and Machine Learning using Spark [100%]
- Data Engineering Capstone Project [99%]
- Data Science ✅
- What is Data Science? [97.50%]
- Tools for Data Science [97.91%]
- Data Science Methodology [96.50%]
- Python for Data Science, AI & Development [94.60%]
- Python Project for Data Science [100%]
- Databases and SQL for Data Science with Python [98.84%]
- Data Analysis with Python [97%]
- Data Visualization with Python [97.91%]
- Machine Learning with Python [95%]
- Applied Data Science Capstone [97%]
- Data Analyst ✅
- Introduction to Data Analytics [86%]
- Excel Basics for Data Analysis [100%]
- Data Visualization and Dashboards with Excel and Cognos [97%]
- Python for Data Science, AI & Development [94.60%]
- Databases and SQL for Data Science with Python [98.84%]
- Python Project for Data Science [100%]
- Data Analysis with Python [97%]
- Data Visualization with Python [97.91%]
- IBM Data Analyst Capstone Project [89%]
- DevOps and Software Engineering ⏳
- Introduction to DevOps [98.5%]
- Introduction to Cloud Computing [100%]
- Introduction to Agile Development and Scrum [96%]
- Hands-on Introduction to Linux Commands and Shell Scripting [94%]
- Getting Started with Git and GitHub [100%]
- Python for Data Science, AI & Development [94.60%]
- Introduction to Containers with Docker, Kubernetes and OpenShift [96.84%]
- Full-Stack Cloud Native Software Developer ⏳
- Introduction to Cloud Computing [100%]
- Getting Started with Git and GitHub [100%]
- Introduction to Containers with Docker, Kubernetes and OpenShift [96.84%]
- Python for Data Science, AI & Development [94.60%]
- Data Visualization and Communication with Tableau [85.98%] ✅
Some Courses are appeared in more than one learning path.