Business Intelligence Training Courses in India

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Business Intelligence Training Courses

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.

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Business Intelligence Subcategories in India

Power BI Training CoursesPower BI
Tableau Training CoursesTableau
JasperReports Training CoursesJasperReports
Apache Superset Training CoursesApache Superset
MicroStrategy Training CoursesMicroStrategy
Splunk Training CoursesSplunk
Apache Druid Training CoursesApache Druid
Dashbuilder Training CoursesDashbuilder
SAS Training CoursesSAS
Stata Training CoursesStata
Alteryx Training CoursesAlteryx
IBM Cognos Training CoursesIBM Cognos
Google Sheets Training CoursesGoogle Sheets
QlikView Training CoursesQlikView
Metabase Training CoursesMetabase
Redash Training CoursesRedash
Pentaho Training CoursesPentaho

Business Intelligence Course Outlines in India

Course Name
Duration
Overview
Course Name
Duration
Overview

Data Analytics with Python in Power BI

28 hours
This instructor-led, live training in India (online or onsite) is aimed at expert-level data analysts who wish to leverage Python's data analysis capabilities within Power BI, enhancing their ability to analyze and visualize data effectively. By the end of this training, participants will be able to:
  • 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.

Sisense Business Intelligence

14 hours
This instructor-led, live training in India (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.

Tableau Server for Architects

14 hours
This instructor-led, live training in India (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.

AWS QuickSight

14 hours
This instructor-led, live training in India (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.

Data Analysis with SQL, Python, and Tableau

14 hours
This instructor-led, live training in India (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.

Power BI DAX Fundamentals

21 hours
This instructor-led, live training in India (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.
  • Learn best practices to optimize DAX performance.

MicroStrategy for Architects

14 hours
This instructor-led, live training in India (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.
  • Build and maintain MicroStrategy projects.

Alteryx Advanced

14 hours
This instructor-led, live training in India (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.

Excel to Power BI

7 hours
This instructor-led, live training in India (online or onsite) is aimed at data analysts who wish to learn techniques for preparing data in Excel, then visualizing it in Power BI. By the end of this training, participants will be able to:
  • 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.

Datameer for Data Analysts

14 hours
Datameer is a business intelligence and analytics platform built on Hadoop. It allows end-users to access, explore and correlate large-scale, structured, semi-structured and unstructured data in an easy-to-use fashion. In this instructor-led, live training, participants will learn how to use Datameer to overcome Hadoop's steep learning curve as they step through the setup and analysis of a series of big data sources. By the end of this training, participants will be able to:
  • 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
Audience
  • Data analysts
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice

Business Intelligence in MS SQL Server 2008

14 hours
Training is dedicated to the basics of create a data warehouse environment based on MS SQL Server 2008. Course participant gain the basis for the design and construction of a data warehouse that runs on MS SQL Server 2008. Gain knowledge of how to build a simple ETL process based on the SSIS and then design and implement a data cube using SSAS. The participant will be able to manage OLAP database: create and delete database OLAP Processing a partition changes on-line. The participant will acquire knowledge of scripting XML / A and MDX.

Big Data Business Intelligence for Govt. Agencies

35 hours
Advances in technologies and the increasing amount of information are transforming how business is conducted in many industries, including government. Government data generation and digital archiving rates are on the rise due to the rapid growth of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals. As digital information expands and becomes more complex, information management, processing, storage, security, and disposition become more complex as well. New capture, search, discovery, and analysis tools are helping organizations gain insights from their unstructured data. The government market is at a tipping point, realizing that information is a strategic asset, and government needs to protect, leverage, and analyze both structured and unstructured information to better serve and meet mission requirements. As government leaders strive to evolve data-driven organizations to successfully accomplish mission, they are laying the groundwork to correlate dependencies across events, people, processes, and information. High-value government solutions will be created from a mashup of the most disruptive technologies:
  • Mobile devices and applications
  • Cloud services
  • Social business technologies and networking
  • Big Data and analytics
IDC predicts that by 2020, the IT industry will reach $5 trillion, approximately $1.7 trillion larger than today, and that 80% of the industry's growth will be driven by these 3rd Platform technologies. In the long term, these technologies will be key tools for dealing with the complexity of increased digital information. Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured. But accomplishing these feats takes far more than simply accumulating massive quantities of data.“Making sense of thesevolumes of Big Datarequires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information,” Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog. The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it. The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge. Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.). Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through résumés to connect job candidates with hiring managers.

Big Data Business Intelligence for Telecom and Communication Service Providers

35 hours
Overview Communications service providers (CSP) are facing pressure to reduce costs and maximize average revenue per user (ARPU), while ensuring an excellent customer experience, but data volumes keep growing. Global mobile data traffic will grow at a compound annual growth rate (CAGR) of 78 percent to 2016, reaching 10.8 exabytes per month. Meanwhile, CSPs are generating large volumes of data, including call detail records (CDR), network data and customer data. Companies that fully exploit this data gain a competitive edge. According to a recent survey by The Economist Intelligence Unit, companies that use data-directed decision-making enjoy a 5-6% boost in productivity. Yet 53% of companies leverage only half of their valuable data, and one-fourth of respondents noted that vast quantities of useful data go untapped. The data volumes are so high that manual analysis is impossible, and most legacy software systems can’t keep up, resulting in valuable data being discarded or ignored. With Big Data & Analytics’ high-speed, scalable big data software, CSPs can mine all their data for better decision making in less time. Different Big Data products and techniques provide an end-to-end software platform for collecting, preparing, analyzing and presenting insights from big data. Application areas include network performance monitoring, fraud detection, customer churn detection and credit risk analysis. Big Data & Analytics products scale to handle terabytes of data but implementation of such tools need new kind of cloud based database system like Hadoop or massive scale parallel computing processor ( KPU etc.) This course work on Big Data BI for Telco covers all the emerging new areas in which CSPs are investing for productivity gain and opening up new business revenue stream. The course will provide a complete 360 degree over view of Big Data BI in Telco so that decision makers and managers can have a very wide and comprehensive overview of possibilities of Big Data BI in Telco for productivity and revenue gain. Course objectives Main objective of the course is to introduce new Big Data business intelligence techniques in 4 sectors of Telecom Business (Marketing/Sales, Network Operation, Financial operation and Customer Relation Management). Students will be introduced to following:
  • 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
Target Audience
  • 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

Big Data Business Intelligence for Criminal Intelligence Analysis

35 hours
Advances in technologies and the increasing amount of information are transforming how law enforcement is conducted. The challenges that Big Data pose are nearly as daunting as Big Data's promise. Storing data efficiently is one of these challenges; effectively analyzing it is another. In this instructor-led, live training, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results. By the end of this training, participants will be able to:
  • 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
Audience
  • Law Enforcement specialists with a technical background
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice

Pentaho Open Source BI Suite Community Edition (CE)

28 hours
Pentaho Open Source BI Suite Community Edition (CE) is a business intelligence package that provides data integration, reporting, dashboards, and load capabilities. In this instructor-led, live training, participants will learn how to maximize the features of Pentaho Open Source BI Suite Community Edition (CE). By the end of this training, participants will be able to:
  • 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
Audience
  • Programmers
  • BI Developers
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
  • To request a customized training for this course, please contact us to arrange.

Business Intelligence with SSAS

14 hours
SSAS (SQL Server Analysis Services), is a Microsoft SQL Server transactional processing (OLAP) and data mining tool for analyzing data across multiple databases, tables or files. The semantic data models provided by SSAS are used by client applications such as Power BI, Excel, Reporting Services, and other data visualization tools. In this instructor-led, live training (onsite or remote), participants will learn how to use SSAS to analyze large volumes of data in databases and data warehouses. By the end of this training, participants will be able to:
  • 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
Audience
  • 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
Course Customization Options
  • 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.

Power BI Dashboards

14 hours
Learn how to Get & Transform Data to Prepare Interactive Dashboards Power BI is one of the most popular Data Visualization tool, and a Business Intelligence Tool. Power BI is a collection of data connectors, apps, and software services, which are used to get data from different source, transforms data, and produce beautiful reports. Power BI also allows you to publish them for your organization so that you can access them using mobiles, tablets etc. In this Power BI Tutorial, we will show you the step by step approach to connect with multiple data sources, data transformations, and creating reports like charts, tables, matrix, maps, etc  

IRIS: Document Classification and Data Capture

7 hours
This instructor-led, live training in India (online or onsite) is aimed at content managers who wish to optimize and update company content with IRIS. By the end of this training, participants will be able to:
  • Improve business reports using IRISXtract.
  • Use IRISPowerscan to file documents automatically.
  • Process purchase orders, accounts payable, automate email extraction, and more with solution packages.

Qlik Sense for Data Science

14 hours
This instructor-led, live training in India (online or onsite) is aimed at data analysts and web developers who wish to develop associative models in Qlik Sense. By the end of this training, participants will be able to:
  • 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.

QlikView Server Administration

14 hours
QlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making. In this instructor-led, live training, participants will learn how to start developing with QlikView. By the end of this training, participants will be able to:
  • Install and configure QlikView
  • Transform data from various sources through QlikView scripting
  • Build data models with QlikView
Format of the Course
  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.

Qlik: Advanced Topics in Design and Development

14 hours
QlikView is a platform that provides organizations self-service business intelligence. QlikView's clean, straightforward, and simple interfaces allow users to easily analyze data and use data discoveries to support decision making. In this instructor-led, live training, participants will learn how to start developing with QlikView. By the end of this training, participants will be able to:
  • Install and configure QlikView
  • Transform data from various sources through QlikView scripting
  • Build data models with QlikView
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Course Customization Options
  • To request a customized training for this course, please contact us to arrange.

Data analysis with Tableau

14 hours
Tableau helps people see and understand data.

Visual Reporting and Analysis with Tableau

14 hours
This instructor-led, live training in India (online or onsite) is aimed at beginner to intermediate-level data scientists and analysts who wish to learn how to utilize Tableau tools for data visualization and analysis. By the end of this training, participants will be able to: Connect multiple sources of data. Create basic data visualizations. Use basic to advanced calculations for data analysis. Learn best practices for using graphs and visualizations.

Tableau Advanced

14 hours
Tableau helps people see and understand data.

Data Analysis with Tableau and Python

14 hours
Tableau is a business intelligence and data visualization tool. Python is a widely used programming language which provides support for a wide variety of statistical and machine learning techniques. Tableau's data visualization power and Python's machine learning capabilities, when combined, help developers rapidly build advanced data analytics applications for various business use cases. In this instructor-led, live training, participants will learn how to combine Tableau and Python to carry out advanced analytics. Integration of Tableau and Python will be done via the TabPy API. By the end of this training, participants will be able to:
  • 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
Audience
  • Developers
  • Data scientists
Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice

Tableau for Developers

21 hours
In this instructor-led, live training in India, participants will learn how to extend the capabilities of Tableau to fit the specific needs of their organization. By the end of this training, participants will be able to:
  • 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.

Tableau Fundamentals

14 hours
This is a Tableau user beginners course; it is intended for anyone who is looking to work with data and is designed to help you use the main functions in Tableau. During the course you will be able to:
  • 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.

Tableau Intermediate Training Course

14 hours
Tableau helps people see and understand data.

Data Science with Tableau and R Programming

14 hours
This instructor-led, live training in India (online or onsite) is aimed at data scientists who wish to program in R for Tableau. By the end of this training, participants will be able to:
  • 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.

Tableau Fundamentals to Advanced

28 hours
This instructor-led, live training in India (online or onsite) is aimed at data analysts and data scientists who wish to search, analyze, and visualize data using Tableau. By the end of this training, participants will be able to:
  • 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.

Last Updated:

Upcoming Business Intelligence Courses in India

Data Analysis with SQL, Python, and Tableau

2023-10-11 09:30
Kolkata, City Center - Classroom T1
14 hours

Tableau Server for System Administrators

2023-10-25 09:30
Kolkata, City Center - Classroom T1
28 hours

Data Science with Tableau and R Programming

2023-11-08 09:30
Kolkata, City Center - Classroom T1
14 hours

Tableau Fundamentals to Advanced

2023-11-22 09:30
Kolkata, City Center - Classroom T1
28 hours

Data Science with Tableau and R Programming

2023-12-06 09:30
Kolkata, City Center - Classroom T1
14 hours

Data Analysis with SQL, Python, and Tableau

2023-12-20 09:30
Kolkata, City Center - Classroom T1
14 hours

Tableau Server for System Administrators

2024-01-03 09:30
Kolkata, City Center - Classroom T1
28 hours

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