This is an intensive and practical 2-day course where you will “Learn by Doing”. The goal is not to make you experts in data analysis and/or data analytics, but to build your confidence and foundational competence in collecting, analysing, and working with data.
The course follows the process of; data collection, cleaning, brainstorming solutions for data analysis, and experimenting with different data analysis tools that should enable you to comfortably provide insights within your organisation that enable decision making.
The following are the overall learning objectives:
- Why Data is critical for your organisation;
- Understanding Data Analysis vs. Data Analytics;
- Identifying different data types and structures;
- Understanding the importance and methods of data cleaning;
- Performing basic Exploratory Data Analysis (EDA); and
- Visualising, Communicating, and Reporting Analysed Data.
Level up your data game with our "Data Engineering on Microsoft Azure" course! This five-day immersive experience is designed for today’s tech-savvy professionals who want to master the art of turning raw data into powerful, actionable insights. Whether you’re working with structured, unstructured, or streaming data, you’ll learn to harness the full potential of Azure’s cutting-edge tools to build robust data processing pipelines.
Dive into hands-on sessions where you'll get to flex your skills in SQL, Python, and Scala, while exploring Azure Data Factory, Synapse Analytics, and more. From designing modern data architectures to troubleshooting real-world challenges, this course is all about giving you the practical know-how to create high-performing, secure, and scalable data solutions. By the end of the week, you'll not only be prepared to ace the DP-203 exam but also ready to take your data engineering expertise to the next
This 5-day intense course equips you with the skills to master Azure's powerful data science tools, focusing on designing, deploying, and managing machine learning models in real-world scenarios. You’ll gain hands-on experience in setting up a robust Azure Machine Learning environment, training and fine-tuning models, and implementing scalable pipelines that deliver reliable results.
Whether you're preparing models for deployment or managing their lifecycle, this course ensures you have the expertise to handle the full spectrum of data science tasks on Azure, making you a valuable asset in the data-driven world.
Step into the world of AI innovation with this 5-day life-changing course! The entire experience equips Azure AI engineers with the tools to craft intelligent solutions that harness the power of Azure Cognitive Services. From planning and deploying AI services to fine-tuning models for image processing, natural language understanding, and conversational AI, this course is your gateway to mastering the end-to-end development of cutting-edge AI systems.
Whether you're orchestrating complex data flows or building responsive bots, you'll emerge ready to shape the future of AI on Azure.
Data Science Practitioners take custody of data and make the data available in a structured form for the Data Scientist to use. They support the data life cycle by collecting, transforming, and analysing data, and communicating results in order to solve elementary business problems. They transform data into robust, comprehensive data sets, aligned with the problem identified in the statement of work and ready for storage.
This course is the first in a 2-course series that will prepare you for the PCEP - Certified Entry-Level Python Programmer and PCAP: Certified Associate in Python Programming certification exams.
The main goal of the course is to guide you from a state of complete programming illiteracy to a level of programming knowledge which allows you to design, write, debug, and run programs encoded in the Python language, and to understand the basic concepts of software development technology.
The course will prepare you for jobs and careers connected with widely understood software development, which includes not only creating the code itself as a junior developer, but also computer systems design and software testing.
This course is the second in a 2-course series that will prepare you for the PCAP: Certified Associate Python Programmer certification exam.
The course picks up where Python Essentials - Part 1 leaves off. Its main goal is to teach you the skills related to the more advanced aspects of Python programming, including modules, packages, exceptions, file processing, as well as with general coding techniques and object-oriented programming (OOP).
The course is recommended for aspiring developers who are interested in pursuing careers connected with Software Development, and Security, Networking, and the Internet of Things (IoT).