Data Mastery
Home
How it works
Modules
Pricing
Mode
Learning Modules
All Roles
Data Analyst
Data Engineer
Data Scientist
20 results
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
GenAI-Based Development
Increase your productivity with GenAI tools like ChatGPT and Copilot
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
Data pipelines - ETL
Extract, transform and load data to the database using Python and SQL
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 lifecylce
6-8 hours
Big Data & PySpark
Harness the power of Big Data with PySpark for large-scale data processing and analysis
6-8 hours
Python - Working with APIs
Master the art of interacting with APIs using Python and requests
6-8 hours
Data Pipelines - Orchestration
Elevate your data engineering skills with advanced ETL pipelines and orchestration
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 with 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
