This course is designed for anyone working with a large amount of data who is wishing to analyse it and create eye catching visualisations. Participants will get hands-on experience learning key skills and concepts using example data based on real world scenarios.
Overview
This course is designed for anyone working with a large amount of data who is wishing to analyse it and create eye catching visualisations. Participants will get hands-on experience learning key skills and concepts using example data based on real world scenarios.
Prerequisites
The student should be familiar with Excel and the concepts of datasets and basic reporting. Please note that this course is not suitable for inexperienced Excel or database users.
We have more than twenty five years experience of delivering high quality training courses, and our methods work for our clients and for ourselves. Our win-win philosophy adds real value to the organisations and people we train.
Connect to your data from multiple sources and graphically represent in report format. Refresh the data, accessing the most up to date information, trends, performance and KPI data. Filter and drill down into the data to get the most from information in your organisation.
The Apache™ Hadoop® project is an open-source software project that develops reliable, scalable, distributed computing. The Apache Hadoop software library is a framework. It provides fast and secure storage and retrieval of large data sets.
This 1-day workshop is a one-stop shop to learning how you can transform your report, insights, or marketing messages into a visual product; easy to understand, and quick to share.
Explore the role of big data in AI, the relationship between data and information, big data frameworks (including Hadoop), applicable solutions and the processes and techniques used.
This 5-day course is ideal for people who are currently working as software engineers with data, or in business intelligence, looking for a level-up to the next stage of large data analysis skills and contemporary patterns of Data Science.
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