Data Mastery
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Data Analyst
Data Engineer
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25 results
GenAI-Based Development
Increase your productivity with GenAI tools like ChatGPT, OpenAI Codex and GitHub Copilot
6-8 hours
LLM Fundamentals
Learn to build AI-powered applications using Large Language Models
6-8 hours
Agentic AI Fundamentals
Master building AI agents that can reason, plan and interact with their environment
6-8 hours
Data Project Management
Roles, responsibilities and creating a solid data project plan
6-8 hours
Python Fundamentals
Lay a solid foundation in Python to unlock its potential across various applications
12-16 hours
Git & Software Development
Advance your Python skills with version control for professional software development
6-8 hours
Data Analysis with Pandas
Master data manipulation and analysis with Pandas to extract insights from data
6-8 hours
Machine Learning
Explore machine learning theories and apply them using Python and sklearn
6-8 hours
SQL Fundamentals
Databases are central to any professional data role, and the language of databases is SQL
6-8 hours
Python Data Visualisation
Create compelling data visualizations with Python to tell stories with your data
6-8 hours
Power BI Fundamentals
Design and publish your data in professional dashboards with Power BI
6-8 hours
Power BI Data Modelling
Implement a data model for creating efficient and scalable Power BI dashboards
6-8 hours
Power BI Engineering
Master Power BI features like security, data refresh scheduling and deployment
12-16 hours
Docker Fundamentals
Containerize your applications for consistent and scalable deployments
6-8 hours
Terraform Fundamentals
Automate Azure cloud infrastructure provisioning with Infrastructure as Code using Terraform
6-8 hours
Python APIs with FastAPI
Build modern, high-performance APIs with Python using FastAPI
6-8 hours
Python Web Apps
Use the Streamlit Python package to develop and deploy an interactive web app
6-8 hours
Azure Fundamentals
Using your laptop will only get you so far, at some point it is time to reach for the cloud
12-16 hours
DevOps & CI/CD
Improve your dev life quality by automating deployment, tests and code checks
6-8 hours
Machine Learning Operations
DevOps for Machine Learning. Automate the manual steps involved in the ML lifecycle
6-8 hours
Databricks & PySpark
Harness the power of Big Data using Databricks and PySpark for large-scale data processing and analysis
6-8 hours
ETL pipelines & Orchestration
Build automated data pipelines to extract, transform, and load data at scale
6-8 hours
Advanced Python Development
Become a Python power user with advanced development techniques
12-16 hours
Test-Driven Development
Ensure the reliability of your code by writing tests with Pytest
6-8 hours
MLOps - Model Monitoring & Drift
In a changing world, models should change too. Learn to detect when it is time to retrain
6-8 hours
