This instructor-led, live training in 台灣 (online or onsite) is aimed at beginner-level data engineers, analysts, and scientists who wish to understand how to use dbt Cloud to manage their data warehousing and transformation projects in the cloud.
By the end of this training, participants will be able to:
Create and manage projects on dbt Cloud.
Use the dbt Cloud interface to schedule and run data transformations.
This instructor-led, live training in 台灣 (online or onsite) is aimed at data engineers and analysts who wish to learn beginner to intermediate-level knowledge of using AWS Glue to set up a data pipeline.
By the end of this training, participants will be able to:
This instructor-led, live training in 台灣 (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.
By the end of this training, participants will be able to:
Perform data analysis using Python, R, and SQL.
Create insights through data visualization with Tableau.
Make data-driven decisions for business operations.
This instructor-led, live training in 台灣 (online or onsite) is aimed at analysts who wish to use TM1 to analyze and customize reports and templates for data in a database.
By the end of this training, participants will be able to:
Learn how to analyze data using IBM Planning Analytics.
Create custom views of the data in a database.
Build reports and forms that communicate with TM1.
This instructor-led, live training in 台灣 (online or onsite) is aimed at data analysts and data scientists who wish to use the MongoDB Aggregation Framework to perform data analysis while simplifying complex operations and aggregation pipelines.
By the end of this training, participants will be able to:
Install and configure MongoDB for data analysis.
Understand the concepts and stages of the MongoDB Aggregation Framework.
Learn about the basic structure, syntax, and operations for aggregation.
Learn how to handle advanced operations in aggregation.
Apply some optimization tools and techniques to improve aggregation performance.
This instructor-led, live training in 台灣 (online or onsite) is aimed at developers and system administrators who wish to learn and use Sisense for big data manipulation and visualization.
By the end of this training, participants will be able to:
Learn the fundamental concepts of Sisense and how it works.
Create a Sisense dashboard to visualize big data and execute data-driven business decisions.
Merge and manage data from multiple sources.
Utilize Sisense for quick data manipulation and visualization.
This instructor-led, live training in 台灣 (online or onsite) is aimed at intermediate to advanced-level data architects who wish to learn skills for installing, configuring, managing, and maintaining a Tableau server.
By the end of this training, participants will be able to:
Have an in-depth understanding of the Tableau Server architecture.
Understand Tableau Server processes and functions.
User Tableau Server to automate tasks.
Configure and manage the Tableau Server.
Set up Tableau Server for high availability and scalability.
This instructor-led, live training in 台灣 (online or onsite) is aimed at business professionals who wish to learn intermediate-level skills for managing organizational charts using OrgPlus 6.
By the end of this training, participants will be able to:
Handle large data sets with sophisticated formatting tools.
Create data visualization reports and directories.
Use OrgPlus printing, exporting, and publishing features.
This instructor-led, live training in 台灣 (online or onsite) is aimed at data analysts or anyone who wishes to use AWS QuickSight data analysis and visualization.
By the end of this training, participants will be able to:
Understand the basic concepts of AWS QuickSight.
Use AWS QuickSight to create data analysis, reports, and insights.
Use AWS to create relationships between data for enhanced analysis.
Learn different types of visualizations in understanding data.
This instructor-led, live training in 台灣 (online or onsite) is aimed at data scientists and developers who wish to use and integrate SQL, Python, and Tableau to perform complex data analysis, processing, and visualization.
By the end of this training, participants will be able to:
Set up the necessary environment to perform data analysis with SQL, Python, and Tableau.
Understand the key concepts of software integration (data, servers, clients, APIs, endpoints, etc.).
Get a refresher on the fundamentals of Python and SQL.
Perform data pre-processing techniques in Python.
Learn how to connect Python and SQL for data analysis.
Create insightful data visualizations and charts with Tableau.
This instructor-led, live training in 台灣 (online or onsite) is aimed at beginner to intermediate-level business analysts, data analysts, and developers who wish to learn the fundamentals of DAX in Power BI.
By the end of this training, participants will be able to:
Have a comprehensive understanding of Data Analysis Expressions (DAX) in Power BI.
Create custom calculations and expressions in Power BI for analyzing data and deriving insights.
This instructor-led, live training in 台灣 (online or onsite) is aimed at beginner to advanced-level MicroStrategy architects who wish to develop schemas, change management, and use modeling tools to manage the development cycle of MicroStrategy apps.
By the end of this training, participants will be able to:
Fully understand the concepts and architecture of data warehousing.
Understand how to use analytics, desktop objects, and schemas.
This instructor-led, live training in 台灣 (online or onsite) is aimed at data scientists and data analysts who wish to learn how to use each tool in the developer tool palette in Alteryx Designer.
By the end of this training, participants will be able to:
Learn to use and configure all the tools in the developer tab.
Design efficient workflows in Alteryx using the dynamic, validation, and testing tools.
Learn how to use API tools to download and parse web data.
Use Alteryx scripting tools, including Python and R.
This instructor-led, live training in 台灣 (online or onsite) is aimed at intermediate-level data analysts who wish to learn and utilize the advanced features and components of Grafana for data visualization and analysis.
By the end of this training, participants will be able to:
Gain an in-depth understanding of advanced Grafana concepts and components.
Leverage template variables and dynamic dashboards for enhanced data visualization.
Use Grafana Query Language for complex queries.
Learn best practices for scaling Grafana, optimizing performance, and ensuring high availability.
This instructor-led, live training in 台灣 (online or onsite) is aimed at data analysts who wish to perform product and user analysis using Mixpanel.
By the end of this training, participants will be able to:
Learn how to use Mixpanel as a web analytics tool.
Understand the Mixpanel concepts and implementation.
This instructor-led, live training in 台灣 (online or onsite) is aimed at analysts who wish to use Matomo to perform web analytics tasks such as generating a detailed report on the usage of a website.
By the end of this training, participants will be able to:
Understand how Matomo works in analyzing web data.
Learn how data is collected and tracked with Matomo.
This instructor-led, live training in 台灣 (online or onsite) is aimed at developers who wish to learn how Datadog works in monitoring servers, databases, and cloud-based applications and services.
By the end of this training, participants will be able to:
Learn and understand how the Datadog monitoring tool works.
Understand the Datadog core concepts and features.
Configure Datadog for infrastructure monitoring and account management.
Use Datadog Application Performance Monitoring (APM) and continuous profiling.
This instructor-led, live training in 台灣 (online or onsite) is aimed at intermediate-level systems administrators who wish to learn and utilize the advanced features and components of Nagios for IT monitoring.
By the end of this training, participants will be able to:
Understand Nagios architecture, components, and advanced monitoring strategies.
Implement advanced service monitoring and extend Nagios functionality.
This instructor-led, live training in 台灣 (online or onsite) is aimed at data scientists and developers who wish to set up, deploy, and manage data analytics solutions using Databricks.
By the end of this training, participants will be able to:
Set up and configure Databricks.
Understand how Databricks and Apache Spark work together.
Learn how to load and transform data in Databricks.
This instructor-led, live training in 台灣 (online or onsite) is aimed at data analysts or anyone who wishes to use SPSS Modeler to perform data mining activities.
By the end of this training, participants will be able to:
Understand the fundamentals of data mining.
Learn how to import and assess data quality with the Modeler.
Develop, deploy, and evaluate data models efficiently.
R is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students. It covers language fundamentals, libraries and advanced concepts. Advanced data analytics and graphing with real world data.
Audience
Developers / data analytics
Duration
3 days
Format
Lectures and Hands-on
Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to questions:
What has happened?
processing and analyzing data
producing informative data visualizations
What will happen?
forecasting future performance
evaluating forecasts
What should happen?
turning data into evidence-based business decisions
optimizing processes
The course itself can be delivered either as a 6 day classroom course or remotely over a period of weeks if preferred. We can work with you to deliver the course to best suit your needs.
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Course Discounts
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