
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 India can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Testimonials
Level of detail and willingness to answer questions
Nozithelo Ncube, Vodacom
Course: Big Data Business Intelligence for Telecom and Communication Service Providers
All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.
Mathipa Chepape - Nozithelo Ncube, Vodacom
Course: Big Data Business Intelligence for Telecom and Communication Service Providers
All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.
Mathipa Chepape - Nozithelo Ncube, Vodacom
Course: Big Data Business Intelligence for Telecom and Communication Service Providers
Understanding big data beter
Shaune Dennis - Nozithelo Ncube, Vodacom
Course: Big Data Business Intelligence for Telecom and Communication Service Providers
pues lo sencillo de la herramienta
Viviana González Moreno, Seguros Banorte
Course: Business Intelligence with SSAS
The pratcice option and the involving participants in solving the tasks
BAT Pécsi Dohánygyár Ltd
Course: Power BI Dashboards
Data sources and tasks were really creative and interesting.
BAT Pécsi Dohánygyár Ltd
Course: Power BI Dashboards
It was very interatctive, and a load of things to learn
BAT Pécsi Dohánygyár Ltd
Course: Power BI Dashboards
New knowledge. :-)
BAT Pécsi Dohánygyár Ltd
Course: Power BI Dashboards
Trainers are very knowledgeable, and patient in ensuring students could follow the lecture.
Trudy Staples Girardin - Indigenous Services Canada
Course: Power BI Dashboards
I felt like we saw the whole spectrum of what Power BI can do. The trainers were super knowledgeable and so patient with our group.
Angela Murphy - Indigenous Services Canada
Course: Power BI Dashboards
I learned a lot about Power BI and how to integrate the excel into it. I also enjoyed learning all different filters, visualizations and information that can be created.
Krystina Merkley - Indigenous Services Canada
Course: Power BI Dashboards
I found the two instructors extremely knowledgeable, personable and respectful, great guys.
Bruce Pickett - Indigenous Services Canada
Course: Power BI Dashboards
o conteúdo em si que foi ensinado.
Edivaldo Gonçalves Cordeiro, Imdepa Rolamentos
Course: Qlik Sense for Data Science
Do aprendizado, conseguir colocar em prática os exercícios propostos.
Samanta - Edivaldo Gonçalves Cordeiro, Imdepa Rolamentos
Course: Qlik Sense for Data Science
Younes is a great trainer. Always willing to assist, and very patient. I will give him 5 stars. Also, the QLIK sense training was excellent, due to an excellent trainer.
Dietmar Glanninger - BMW
Course: Qlik Sense for Data Science
The way he sure that each trainee understand each process.
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 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
Training exercises and hands on practice.
Thakral One Inc.
Course: Data analysis with Tableau
The knowledge of trainor about the tool.
Kendrick Bacani - Thakral One Inc.
Course: Data analysis with Tableau
Ability to direct the content covered to suit individual needs
Stefan Wroblewski - Tech NorthWest Skillnet
Course: Tableau Advanced
Ability to direct the content covered to suit individual needs
Stefan Wroblewski - Tech NorthWest Skillnet
Course: Tableau Advanced
Instructor was very good.
Tech NorthWest Skillnet
Course: Tableau Advanced
The number of working examples.
Sharon Clarke - Tech NorthWest Skillnet
Course: Tableau Advanced
The number of working examples.
Sharon Clarke - Tech NorthWest Skillnet
Course: Tableau Advanced
Learning the different ways to present data
Katie Matthews - Quofox GmbH
Course: Tableau Advanced
All good
Tabreed
Course: Tableau Advanced
The learnings on parameters are great
JPMorgan Chase Bank, N.A – Philippine Global Service Center
Course: Tableau Advanced
all the materials and how the trainer teach
Ma Rowenaliz Gayoma - JPMorgan Chase Bank, N.A – Philippine Global Service Center
Course: Tableau Advanced
I liked that the trainer could see all desktops and could see if anyone was struggling it was a great interactive training.
Claire - Bernie Carlin, Tech Northwest Skillnet
Course: Tableau Fundamentals
Although a lot of information was presented, it was presented in a way where we could take learning from it, everything was well explained.
Donna - Bernie Carlin, Tech Northwest Skillnet
Course: Tableau Fundamentals
Thought it was a very good course.. Im a beginner and everything explained perfectly and at a good pace.
Noreen Gallagher - Elaine Rodger, Tech Northwest Skillnet
Course: Tableau Fundamentals
I liked how we could work alongside instructor within our own VM. This kept us engaged
Michelle Ahern - Elaine Rodger, Tech Northwest Skillnet
Course: Tableau Fundamentals
Very hands on approach to learning Approachable and well informed on the course materials. structured approach to training.
Deepika Vasudevan - Elaine Rodger, Tech Northwest Skillnet
Course: Tableau Fundamentals
Trainer was knowledgable and friendly, and did well to balance exercises and demonstrations. He was also good at assisting those who were struggling/needed any help with tasks.
Alan O'Reilly - Elaine Rodger, Tech NorthWest Skillnet
Course: Tableau Fundamentals
Virtual desktop sharing.
Elaine Rodger, Tech NorthWest Skillnet
Course: Tableau Fundamentals
Kostas kept the pace going thorughout.
Lloyd Carr - Elaine Rodger, Tech NorthWest Skillnet
Course: Tableau Fundamentals
Costas was fluid in his approach to training. He started at the why and gave really understanding and then application. He was really easy to understand and always answered questions really well.
Zara O'Gorman - Elaine Rodger, Tech NorthWest Skillnet
Course: Tableau Fundamentals
Trainer was great and very patient with us. Anything we asked, he explained very well. He shared is VM and we were able to follow his direction on using Tableau by seeing what he was doing. it was a great help to me.
Ciera McCarron Toland - Elaine Rodger, Tech NorthWest Skillnet
Course: Tableau Fundamentals
loved the hands on exercises and that the trainer walked us through how to do them and helped anyone that was having an issue. He made excellent use of the training room functionality and actually watched everyones progress.
Jill Schmaedeke - Elaine Rodger, Tech NorthWest Skillnet
Course: Tableau Fundamentals
Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.
Julia Kuczma - Julia Kuczma, DLA Piper GSC Poland Sp. z o.o.
Course: Tableau Intermediate Training Course
Statistics and Array manipulation, Khobeib was able to spend time working through specific analytical questions with us and demonstrate custom calculations and solutions to our questions. Khobeib was also able to adjust the training to our pace and level of understanding. Having worked with data for some time some of the intermediate level core subjects were not required. To his credit Khobeib took this on board and moved through the contents at a speed relevant to our knowledge and understanding.
Department of Home Affairs
Course: Tableau Intermediate Training Course
Su paciencia y forma de transmitir el conocimiento
Estefania - Ruth Elizabeth Rodriguez Escamilla, si
Course: Tableau Fundamentals to Advanced
The Practice, I created a dashboard is super easy, once time understand the subjects.
Luis Fernando - Ruth Elizabeth Rodriguez Escamilla, si
Course: Tableau Fundamentals to Advanced
Hand's on exercise under the control of trainer. All attendees were thus highly encouraged to participate.
Gerard Suissa - Brown-Forman France
Course: Tableau Fundamentals to Advanced
The trainer answered all of my questions and gives us a walkthrough.
Mark Xavier Rimas - AIGSS- BPI
Course: Tableau Fundamentals to Advanced
Almost every topic we had the chance to do it ourselves and that really help us learn it easier
AIGSS- BPI
Course: Tableau Fundamentals to Advanced
Plenty of exercise to do to better understand the topic.
AIGSS- BPI
Course: Tableau Fundamentals to Advanced
Business Intelligence Subcategories in India
Business Intelligence Course Outlines in India
- Learn how Python can be integrated into Power BI for data analysis.
- Use Python scripts to load, clean, and preprocess data within the Power BI environment.
- Enhance data visualization capabilities by creating custom and interactive visualizations using Python.
- Acquire advanced data analysis skills using Python.
- 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.
- 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.
- 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.
- 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.
- Learn best practices to optimize DAX performance.
- Fully understand the concepts and architecture of data warehousing.
- Understand how to use analytics, desktop objects, and schemas.
- Build and maintain MicroStrategy projects.
- 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.
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