Certifications

Project Management Professional (PMP)®

Google Project Management Certificates: Foundations of Project Management | Project Initiation: Starting a Successful Project | Project Planning: Putting It All Together | Project Execution: Running the Project | Agile Project Management. 

Azure: Data integration at scale with Azure Data Factory or Azure Synapse Pipeline | Build data analytics solutions using Azure Synapse serverless SQL pools.

Azure Machine Learning: Create machine learning models | Deploy and consume models with Azure Machine Learning | Train and manage a machine learning model with Azure Machine Learning | Manage and review models in Azure Machine Learning | Experiment with Azure Machine Learning | Optimise model training with Azure Machine Learning | Train models with scripts in Azure Machine Learning | Explore and configure the Azure Machine Learning workspace.

Azure Databricks: Build machine learning solutions using Azure Databricks | Implement a Data Engineering Solution with Azure Databricks | Implement a Data Analytics Solution with Azure Databricks.

Fabric: Get started with Microsoft Fabric.

Power BI: Model data with Power BI | Use DAX in semantic models | Prepare data for analysis with Power BI | Design Effective Reports in Power BI | Manage and Secure Power BI. 

R: R Programming in Data Science: High Volume Data.

Python: Learning Python | Learning the Python 3 Standard Library | Python for Data Visualization | Python Data Analysis | Python for Data Science Tips, Tricks & Techniques | Python Essential Libraries | Python Object-Oriented Programming | Python: XML, JSON, and the Web | Advanced Python | Learning Python with PyCharm | pandas for Data Science | Advanced Pandas | Hands-On Data Science: 3 Sales Analysis in Python | Python Data Structures: Linked Lists | Learning Python Generators | Text Analytics and Predictions with Python Essential Training | Python: Working with Predictive Analytics | Python: Programming Efficiently | Data Ingestion with Python | Python Code Challenges | Using Python for Automation | Python for Data Science Essential Training Part 1&2 | Data Science Foundations: Python Scientific Stack | OpenCV for Python Developers | Advanced NoSQL for Data Science.

SQL: Learning SQL Programming | Advanced SQL for Data Scientists | Advanced SQL: Logical Query Processing, Part 1 | Advanced SQL – Window Functions | Advanced SQL for Data Science: Time Series | SQL: Data Reporting and Analysis | SQL Essential Training | SQL for Exploratory Data Analysis Essential Training | Microsoft SQL Server 2019 Essential Training | SQL Server: Triggers Stored Procedures and Functions | MySQL for Advanced Analytics: Tips, Tricks, & Techniques | Advanced SQL for Application Development | Querying Microsoft SQL Server 2019 | SQL Tips, Tricks, & Techniques | Designing Database Solutions for SQL Server 2016 | Advanced SQL for Query Tuning and Performance Optimization | SQL Server 2016: Administer a Database Infrastructure | Azure Data Studio Essential Training | SQL Server: Reporting Services | Advanced SQL for Data Scientists.

Data Science (and ML): A Day in The Life of a Data Scientist | Data Science Foundations: Data Mining | Applied Machine Learning: Foundations | Applied Machine Learning: Algorithms | Building a Recommendation System with Python Machine Learning & AI | Business Analytics: Forecasting with Trended Baseline Smoothing | Machine Learning for Marketing: Essential Training | NLP with Python for Machine Learning Essential Training.

Azure and Databricks: Azure: Train deep learning models in Azure Databricks | Azure: Explore and configure the Azure ML workspace | Azure: Experiment with Azure ML | Azure ML: Optimize model training with Azure Machine Learning | Azure: Manage and review models in Azure ML | Azure: Deploy and consume models with Azure ML | Azure: Understanding the Big Picture | Azure Administration: Implement and Manage Storage | Azure ML Development: 2 Learning ML Studio | Azure ML Development: 3 Deploying and Managing Models | Azure Spark Databricks Essential Training | Big Data Analytics with Hadoop and Apache Spark | Azure Data Studio Essential Training | Microsoft Azure: Active Directory.

Deep Learning: Building Deep Learning Applications with Keras 2.0 | Functional Programming with Python | Neural Networks and Convolutional Neural Networks Essential Training | Accelerating TensorFlow with the Google Machine Learning Engine.

Spark: Introduction to Spark SQL and DataFrames | Apache Spark Deep Learning Essential Training | Apache Spark Essential Training | Spark for Machine Learning & AI | Apache PySpark by Example | Cloud Hadoop: Scaling Apache Spark.

BI: Using Power BI with Excel | Excel Business Intelligence: Power Query | Excel Business Intelligence: Data Modelling 101 | Excel Business Intelligence: Power Pivot and DAX | Tableau Essential Training | Power BI Essential Training | Learning Power BI Desktop | Power BI Top Skills | Power BI for Marketers | Power BI Data Modelling with DAX | Advanced Microsoft Power BI.

JavaScript: JavaScript Essential Training | React.js Essential Training | React.js: Building an Interface | React Hooks.

AWS: Introduction to AWS for Non-Engineers: Security, Core Services, Billing and Pricing | Machine Learning Data Readiness.

Adobe Premiere Pro Premiere Pro 2020 Essential Training | Premiere Pro: Mastering Effects and Transitions | Premiere Pro Guru: Fixing Video Colour and Exposure Problems | Premiere Pro for Self-Taught Editors | Premiere Pro Guru: Audio Finishing Techniques | Premiere Pro Quick Tips.

Remote Sensing: QGIS & Google Earth Engine for Environmental Applications | Map Academy: Get mapping quickly with QGIS | Map Academy: Taking QGIS to the next level | Remote Sensing in QGIS: Basics of Satellite Image Analysis; Satellite Remote Sensing Data Bootcamp with Opensource Tools.

AI and Computer Vision: Python for Computer Vision with OpenCV and Deep Learning.

Web Development: Bootstrap 5 - The Complete Guide Step by Step | The Web Developer Bootcamp | Python Django - The Practical Guide | Python Djan