Data Analysis Training Courses in India

Data Analysis Training Courses

Online or onsite, instructor-led live Data Analysis (Analysis of Data or Data Analytics) training courses demonstrate through discussion and hands-on practice the programming languages and methodologies used to perform Data Analysis.

Data Analysis 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. India onsite live Data Analysis trainings can be carried out locally on customer premises or in NobleProg corporate training centers.

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Data Analysis Course Outlines in India

Course Name
Duration
Overview
Course Name
Duration
Overview
21 hours
Overview
This course has been created for business analysts who want to use BPMN 2.0 extensively in their projects.

It focuses on practical aspects of all BPMN 2.0 specification as well as implementations of common patterns.

It is a series of short lectures followed by exercises: the delegates will have a problem described in English, and will have to create a proper diagram for each problem. After that, the diagrams will be discussed and assessed by the group and the trainer.

This course doesn't cover execution part of BPMN, it focuses on analysis and process design aspects of BPMN 2.0.
14 hours
Overview
There are plenty of tried and tested patterns widely available to everyone. Sometimes it is a matter of changing the names and implementing the pattern in a specific technology. It can save hundreds of hours, which otherwise would be spent on design and testing. Training Goals This course has two goals: first, it allows you to reuse widely-known patterns, second, it allows you to create and reuse patterns specific to your organization. It helps you to estimate how patterns can reduce costs, systematize the design process and generate a code framework based on your patterns. Audience Software designers, business analysts, project managers, programmers and developers as well as operational managers and software division managers. Course Style The course focuses on use cases and their relationship with a specific pattern. Most of the examples are explained in UML and in simple Java examples (the language can change if the course is booked as a closed course). It guides you through the sources of the patterns as well as showing you how to catalogue and describe patterns which can be reused across your organization.
14 hours
Overview
Audience

Analysts, researchers, scientists, graduates and students and anyone who is interested in learning how to facilitate statistical analysis in Microsoft Excel.

Course Objectives

This course will help improve your familiarity with Excel and statistics and as a result increase the effectiveness and efficiency of your work or research.

This course describes how to use the Analysis ToolPack in Microsoft Excel, statistical functions and how to perform basic statistical procedures. It will explain what Excel limitation are and how to overcome them.
28 hours
Overview
This course is designed for those wishing to learn the Python programming language. The emphasis is on the Python language, the core libraries, as well as on the selection of the best and most useful libraries developed by the Python community. Python drives businesses and is used by scientists all over the world – it is one of the most popular programming languages.

The course can be delivered using the latest Python version 3.x with practical exercises making use of the full power. This course can be delivered on any operating system (all flavours of UNIX, including Linux and Mac OS X, as well as Microsoft Windows).

The practical exercises constitute about 70% of the course time, and around 30% are demonstrations and presentations. Discussions and questions can be asked throughout the course.

Note: the training can be tailored to specific needs upon prior request ahead of the proposed course date.
21 hours
Overview
Summary:

A business/systems analyst solves business problems by designing information systems which execute the strategy defined by the business. These IT solutions generally achieve one of the following goals for the business: implement a new business process, increase efficiency and productivity of existing business processes, or reduce operating costs of existing processes.

This course is intended for Business Analysts including those who may want to go on and prepare for an IIBA Certification (CCBA or CBAP) and is consistent with the framework outlined by the BABOK® Version 3.0

Objectives:

- Identify the critical principles, activities, tasks, and techniques outlined in the BABOK® V3.0
- Understand the core knowledge areas, activities, tasks, deliverables, and their relationships:

Key Definitions:

BABOK® (Business Analysis Body of Knowledge) Standard for practice of business analysis and serving as a framework describing the tasks that must be performed.

CCBA® (Certified of Competency in Business Analysis) A certification offered through the International Institute of Business Analysis (IIBA) requiring passing a test based on the BABOK® only after application approval which is based on education and experience.

CBAP®(Certified Business Analysis Professional) A certification offered through the International Institute of Business Analysis (IIBA) requiring passing a test based on the BABOK® only after application approval which is based on education and experience.
21 hours
Overview
A business/systems analyst solves business problems by designing information systems which execute the strategy defined by the business. These IT solutions generally achieve one of the following goals for the business: implement a new/novel business process, increase efficiency and productivity of existing business processes, or reduce operating costs of existing processes.

This course is intended for those who are moving into the Business Analysis profession and who may, after any pre-requisites are met, be interested in taking the CBAP certification examination by IIBA (www.iiba.org).

Who should attend?

- Entry-level IT Business Analysts
- Self-taught IT Business Analysts wanting to fill in the gaps and put all the pieces together
- Systems Analysts and programmers interested in expanding their role into the business area
21 hours
Overview
The course will cover how to:

- Select, organise and implement a business re-engineering project
- Achieve competitive advantage by capitalising on technology and the use of UML tools
- Maximise customer satisfaction by matching process design to customer needs
- Identify typical symptoms of business process dysfunction
- Redesign workflow and structure successfully within the business
- Ensure the best practice through the application of business patterns
21 hours
Overview
This course will show you how to:

- Perform key functions of the business analyst by applying a solid business analysis framework
- Conduct a business needs analysis to elicit stakeholder requirements
- Apply business analysis techniques to identify key problems and potential opportunities in your enterprise
- Create effective requirements and communication plans
- Analyse and specify requirements using industry best practices
- Manage solution assessment and validation
14 hours
Overview
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.
35 hours
Overview
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.
35 hours
Overview
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
21 hours
Overview
This course covers the installation, planning and configuration of Nagios Core

The level of this course is Intermediate
63 hours
Overview
This course demonstrates through hands-on practice the fundamentals and applications of software engineering, requirements engineering and testing.
7 hours
Overview
Participant Profiles

CxO, Operation Managers, Enterprise Architects, Business and System Analysts and Designers

Objective

This introduction seminar provides you with an overview of the digital business models, business and enterprise architecture frameworks as well as methodologies that organizations are trying to focus on to increase their business agility facing disruptions of the digital age.

In particular, this seminar aims at helping you to understand frameworks and reference architectures that are used worldwide to align digital business models and IT system architectures with the changing competitive landscape.
14 hours
Overview
Objective:

Helping Business Analysts to understand how to efficiently model and validate their business processes and resources in order to increase business agility of their organization on the basis of their target architecture and changing market needs.

This 2 day training course aims at helping delegates to learn how to model their business processes and resources in order to adapt them to changes of their goals, strategies and impacted capabilities as part of the target architecture. On the basis of the key elements of business performance (strategies, tactics, KPI, business capabilities, etc...), delegates learn there how to elaborate a vision centric business process and resource cartography. Then, only using the appropriate BPMN and UML notation adapted to their language, they understand how to adapt them to changing strategies, tactics and policies.
21 hours
Overview
Objective:

This training course aims at helping product managers, products owners, business analysts, system architects and developers understand how to efficiently Manage Requirements on the basis of the product vision till guiding developers accurately in implementing them.

More in detail, this course aims at assisting product managers in better defining the value propositions of their products on the basis of strategies and stakeholder needs. Business Analysts and product owners understand how to describe requirements of the product backlog then discover appropriate epics and user stories of the system while contributing to the required value creation. Along interactive case study exercises, participants learn how to describe in detail such requirements in order to validate correct understanding of needs and prepare system acceptance tests. Thus, only using a very common and productive UML profile, they learn to structure requirements in order to communicate efficiently with architects and developers through an iterative requirement gathering process.

Audience:

- Product Managers
- Product Owners
- Business Analysts
- Anyone interetsted in the Requirements Management Process
14 hours
Overview
Objective:

Helping Technical Analysts and Designers to understand how to go through software implementation of the requirements, ensuring traceability between business specifications and the software code.

This 2 day training course aims at assisting technical analysts and designers in designing specifications described by the business analysts. After transformation into software component representations, the resulting system components trace system requirements toward software component structures.

Finally, these technical specifications are implemented in software code and tested upon component basis. The resulting software components provide good level of reactivity to changes as they allow to trace separately toward the implementation level the system behaviours layer by layer (from the user interfaces toward business objects layer through the application components where the usage choices of the actors are stored.
35 hours
Overview
The 5-day course demonstrates through hands-on practice the fundamentals of Nagios.
14 hours
Overview
Audience:

Delegates who have an interest in Process Modelling will benefit from attending this business process modeling notation training course including:

- Business and Process Analysts
- Process Designers and Implementers
- Project and Programme Managers
- Anyone involved with business change and transformation.
21 hours
Overview
This course focuses on holistic, structured approaced to finding bottle necks and optimizing business processes.

It is a practical workshop where participants will be given examples and later will need to solve similar cases during team exercises.

- Using the company experience in process management in other banks / sectors to illustrate the presentation
- Introducing the participants to the different process methodologies (Lean, SIX Sigma) but not full of theory about those methodologies (aim of this training is not to pass the Lean or Six Sigma certifications but to get an awareness of different methodologies to see how we can use part of it in our daily activity)
- The presentation should be oriented mostly on business issues (and not pure IT processes)
14 hours
Overview
Tableau helps people see and understand data.
28 hours
Overview
Objective:

Delegates be able to analyse big data sets, extract patterns, choose the right variable impacting the results so that a new model is forecasted with predictive results.
21 hours
Overview
[R](http://www.r-project.org/) 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
21 hours
Overview
Apache Hadoop is the most popular framework for processing Big Data. Hadoop provides rich and deep analytics capability, and it is making in-roads in to tradional BI analytics world. This course will introduce an analyst to the core components of Hadoop eco system and its analytics

Audience

Business Analysts

Duration

three days

Format

Lectures and hands on labs.
14 hours
Overview
Tableau helps people see and understand data.
7 hours
Overview
This course covers how to use Hive SQL language (AKA: Hive HQL, SQL on Hive, HiveQL) for people who extract data from Hive
21 hours
Overview
This course has been created for anyone responsible for modelling processes in BPMN 2.0.

It focuses on practical aspects of all BPMN 2.0 specification as well as implementations of common patterns.

It is a series of short lectures followed by exercises: the delegates will have a problem described in English, and will have to create a proper diagram for each problem. After that, the diagrams will be discussed and assessed by the group and the trainer.

This course focuses on understand the BPMN diagrams but also covers basic part of the execution part of BPMN.
21 hours
Overview
Audience:

Business consultants, Business analysts, Project Managers, IT professionals.
14 hours
Overview
Tableau helps people see and understand data.
28 hours
Overview
This course is intended for engineers and decision makers working in data mining and knoweldge discovery.

You will learn how to create effective plots and ways to present and represent your data in a way that will appeal to the decision makers and help them to understand hidden information.

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