
Online or onsite, instructor-led live Business intelligence (BI) training courses demonstrate through hands-on practice how to understand, plan and implement BI within an organization.
BI training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Business Intelligence trainings in the Philippines can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
I genuinely was benefit from working with DAX and reporting.
Marine Benefits, Inc.
Course: Power BI for Business Analysts
The last part which is security.
Marine Benefits, Inc.
Course: Power BI for Business Analysts
I really enjoyed the training exercise.
Edward Dan Dree Manalad - Marine Benefits, Inc.
Course: Power BI for Business Analysts
Trainer is refined, he was able to play around with our data using his vast knowledge of the course, despite the 0 background with our work.
Mc Gyver Pascua - Sykes Asia, Inc.
Course: Power BI
I enjoyed the experience in learning Power BI.
Sykes Asia, Inc.
Course: Power BI
I liked the preparation of the raw data before layout.
Ayie Delos Santos - Sykes Asia, Inc.
Course: Power BI
I like most the DAX function topic as well as the Trainer's eagerness to resolved inappropriate output, he speak based on his audience level of understanding.
Anabelle Anore - Sykes Asia, Inc.
Course: Power BI
I enjoyed the about the actual application of the lectures provided by the Jonathan.
Sykes Asia, Inc.
Course: Power BI
I mostly enjoyed the very lively and ease.
Rey Jasper Matias - Sykes Asia, Inc.
Course: Power BI
In terms of product knowledge, he’s really knowledgeable and very open to answer questions.
Cherry Espinili - Infinit-O Manila
Course: Tableau Fundamentals
I mostly was benefit from the exercises and sample cases.
Ann Olano - Infinit-O Manila
Course: Tableau Fundamentals
Everything
Sykes Asia Inc.
Course: Power BI
training itself
John Denver Virtucio - Sykes Asia Inc.
Course: Power BI
The knowledge of trainor about the tool.
Kendrick Bacani - Thakral One Inc.
Course: Data analysis with Tableau
Training exercises and hands on practice.
Thakral One Inc.
Course: Data analysis with Tableau
The training is very informative and interactive in terms of the hands-on activities.
John Marnel San Pedro - Thakral One Inc.
Course: Data analysis with Tableau
The training is very informative and interactive in terms of the hands-on activities.
John Marnel San Pedro - Thakral One Inc.
Course: Data analysis with Tableau
Exercises
Verna Villo - Thakral One Inc.
Course: Data analysis with Tableau
All the information and details he shared about Tableau and the examples he showed us as well
Thakral One Inc.
Course: Data analysis with Tableau
The way he sure that each trainee understand each process.
Thakral One Inc.
Course: Data analysis with Tableau
Karthik speaks very clear and provides good examples. He tackled end-to-end things about Tableau and make sure that everyone understands the lesson.
Carmela Ursua - American Power Conversion
Course: Tableau Fundamentals
The course outline itself is structured very well. Even those who don't have idea with the subject can still follow.
Ian Benedict Almeida - American Power Conversion
Course: Tableau Fundamentals
The exercises, because we can already apply what have been taught to us.
American Power Conversion
Course: Tableau Fundamentals
all aspect with the introduction of connecting R programming and mySQL
Ailene Gonzaga - American Power Conversion
Course: Tableau Fundamentals
I really liked the dax.
Chris Amaza - Marine Benefits, Inc.
Course: Power BI for Business Analysts
Dax
Kristian Paul Lugtu - SYKES ASIA INC
Course: Power BI
NA
SYKES ASIA INC
Course: Power BI
Business Intelligence Subcategories in the Philippines
Business Intelligence Course Outlines in the Philippines
- 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.
- 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.
- 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.
- 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.
- Understand the principles of data analysis, objectives of data analysis, and approaches for data analysis.
- Use DAX formulas in Power BI for complex calculations.
- Create and use visualizations and charts for particular analysis cases.
- Import with Power View to move from Excel based Power BI to independent Power BI.
- Create, curate, and interactively explore an enterprise data lake
- Access business intelligence data warehouses, transactional databases and other analytic stores
- Use a spreadsheet user-interface to design end-to-end data processing pipelines
- Access pre-built functions to explore complex data relationships
- Use drag-and-drop wizards to visualize data and create dashboards
- Use tables, charts, graphs, and maps to analyze query results
- Data analysts
- Part lecture, part discussion, exercises and heavy hands-on practice
- Mobile devices and applications
- Cloud services
- Social business technologies and networking
- Big Data and analytics
- Introduction to Big Data-what is 4Vs (volume, velocity, variety and veracity) in Big Data- Generation, extraction and management from Telco perspective
- How Big Data analytic differs from legacy data analytic
- In-house justification of Big Data -Telco perspective
- Introduction to Hadoop Ecosystem- familiarity with all Hadoop tools like Hive, Pig, SPARC –when and how they are used to solve Big Data problem
- How Big Data is extracted to analyze for analytics tool-how Business Analysis’s can reduce their pain points of collection and analysis of data through integrated Hadoop dashboard approach
- Basic introduction of Insight analytics, visualization analytics and predictive analytics for Telco
- Customer Churn analytic and Big Data-how Big Data analytic can reduce customer churn and customer dissatisfaction in Telco-case studies
- Network failure and service failure analytics from Network meta-data and IPDR
- Financial analysis-fraud, wastage and ROI estimation from sales and operational data
- Customer acquisition problem-Target marketing, customer segmentation and cross-sale from sales data
- Introduction and summary of all Big Data analytic products and where they fit into Telco analytic space
- Conclusion-how to take step-by-step approach to introduce Big Data Business Intelligence in your organization
- Network operation, Financial Managers, CRM managers and top IT managers in Telco CIO office.
- Business Analysts in Telco
- CFO office managers/analysts
- Operational managers
- QA managers
- Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation
- Implement industrial big data storage and processing solutions for data analysis
- Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation
- Law Enforcement specialists with a technical background
- Part lecture, part discussion, exercises and heavy hands-on practice
- Install and configure Pentaho Open Source BI Suite Community Edition (CE)
- Understand the fundamentals of Pentaho CE tools and their features
- Build reports using Pentaho CE
- Integrate third party data into Pentaho CE
- Work with big data and analytics in Pentaho CE
- Programmers
- BI Developers
- Part lecture, part discussion, exercises and heavy hands-on practice
- To request a customized training for this course, please contact us to arrange.
- Install and configure SSAS
- Understand the relationship between SSAS, SSIS, and SSRS
- Apply multidimensional data modeling to extract business insights from data
- Design OLAP (Online Analytical Processing) cubes
- Query and manipulate multidimensional data using the MDX (Multidimensional Expressions) query language
- Deploy real-world BI solutions using SSAS
- BI (Business Intelligence) professionals
- Data Analysts
- Database and data warehousing professionals
Format of the Course
- Interactive lecture and discussion
- Lots of exercises and practice
- Hands-on implementation in a live-lab environment
- This training is based on the latest version of Microsoft SQL Server and SSAS.
- To request a customized training for this course, please contact us to arrange.
- Improve business reports using IRISXtract.
- Use IRISPowerscan to file documents automatically.
- Process purchase orders, accounts payable, automate email extraction, and more with solution packages.
- Apply Qlik Sense in data science.
- Use and navigate the Qlik Sense interface.
- Build a data literate workforce with AI interaction.
- Create a data-driven enterprise with Qlik Sense.
- Install and configure QlikView
- Transform data from various sources through QlikView scripting
- Build data models with QlikView
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
- To request a customized training for this course, please contact us to arrange.
- Install and configure QlikView
- Transform data from various sources through QlikView scripting
- Build data models with QlikView
- Part lecture, part discussion, exercises and heavy hands-on practice
- To request a customized training for this course, please contact us to arrange.
- Integrate Tableau and Python using TabPy API
- Use the integration of Tableau and Python to analyze complex business scenarios with few lines of Python code
- Developers
- Data scientists
- Part lecture, part discussion, exercises and heavy hands-on practice
- Install and configure Tableau (Desktop, Server, Online.)
- Understand the fundamentals of developing with Tableau.
- Create and publish data visualizations and interactions with Tableau.
- Use Tableau's developer tools and APIs to customize and extend the capabilities of Tableau for their organization.
- Connect to your data.
- Edit and save a data source.
- Understand Tableau terminology.
- Use the Tableau interface / paradigm to effectively create powerful visualizations.
- Create basic calculations including basic arithmetic calculations, custom aggregations and ratios, date math, and quick table calculations.
- Represent your data using the following visualization types:
- Cross tabs
- Geographic maps
- Heat maps
- Tree maps
- Pie charts and bar charts
- Dual axis and combined charts with different mark types
- Highlight Tables
- Scatter Plots
- Build dashboards to share visualizations.
- Implement Tableau analytics with R.
- Return values to Tableau with learning algorithms in R.
- Structure and visualize R functions in Tableau.
- Make data driven decisions for business operations.
- Connect to your data.
- Edit and save a data source.
- Understand Tableau terminology.
- Use the Tableau interface / paradigm to effectively create powerful visualizations.
- Create calculations including arithmetic calculations, custom aggregations and ratios, date math, and table calculations.
- Represent your data using different visualization types.
- Build dashboards to share visualizations.
- Install and configure Tableau Server.
- Set up users, roles and permissions to get a team up and running.
- Access various data sources, manage content and access to the content by users.
- Automate administrative tasks, including monitoring and log management.
- Deploying Tableau Server to cluster.
- Install Tableau Prep.
- Understand and implement a Data Science Workflow.
- Read data from a variety of sources, such as Excel and databases.
- Prepare, shape and sample data for analysis in Tableau Desktop.
- Explore and validate data.
- Create and publish Tableau Prep flows.
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