|Course or Certification Name||Category||Location||Mode of learning|
|Certificate Program in Data Visualisation||Data Visualization||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Introduction to GDPR: General Data Protection Regulation||IPR||Online self study|
|Data Visualization with Tableau||Tableau||Online self study|
|Big Data Sales Perspective||Sales Management||Online self study|
|Data Analytics with Microsoft Power BI||Data Visualization||Online self study|
|Data Visualization Essentials||Data Visualization||Online self study|
|Big Data Strategic Planning||Strategic Management||Online self study|
|Big Data Marketing Perspective||Digital Marketing||Online self study|
|Big Data - The Legal Perspective||Business Law||Online self study|
|Big Data Engineering Perspectives||Big Data||Online self study|
|Big Data Hadoop Administrator (Online Classroom-Flexi Pass)||Hadoop Administration||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|PG Program in Big Data Engineering||Big Data||Offline self study|
|PG Certificate Program in Big Data & Analytics||Big Data||Offline self study|
|Microsoft SQL Server Data Warehousing and Business Intelligence Overview||MS Sql Server Administration||Online self study|
|Human Resource Analytics by KPMG||HR Analytics||Classroom|
Learn to Tell A Story with Data - Learn to actuate a better understanding of data through visualization by applying Edward Tufte’s Design Principles, get hands on with R and Tableau - Tell a true story based on data. | Demystify Visual Communication - Learn the components, guidelines, data sources of a great visual communication. | Present Data Better - Whether statistical, (un)structured, or time series data, learn the right techniques of visualizing multidimensional data in 2D. | Get jobs in industries like telecom, e-commerce, manufacturing, advertising and media.
The General Data Protection Regulation (GDPR) is designed to balance the need for businesses’ and customers’ data information to flow freely, and the need to protect the rights of the individual. As a professional you need to be aware of the legal requirements of the GDPR so you can ensure your organisation is compliant. On this course you will get a thorough introduction to GDPR so you can grow your understanding of protecting personal data and be able to handle data in the digital economy appropriately.
Tableau is groundbreaking data visualization software that connects easily to nearly any data source. It allows for immediate insight by transforming data into visually appealing interactive visualizations called dashboards. This is achieved on the fly by way of an easy to use drag-and-drop interface. The goal of data visualization is to communicate information clearly and efficiently to users. In this course, you will learn your way around the Tableau interface, how to make data connections, and use parameters for filtering. This course uses Tableau 9.0. Tableau allows for immediate data transformations by using a drag-and-drop easy to use interface that builds and customizes the dashboards in seconds. Effective visualization helps users in analyzing and reasoning about data and evidence. In this course, you will learn about the top chart types, custom calculations, and dashboards. This course uses Tableau 9.0.
Big Data allows salespeople to adopt data-driven methodologies to target high-value prospects rather than relying on relationships and other soft factors to target and close business deals. In this course, you will learn the difference between big data and data science. You will take a look at different algorithms and technology accelerators.
Business intelligence boils down to knowing how to manage data to draw conclusions from otherwise meaningless information.
It is becoming more common to present data in a visual way to engage audiences with what the data is saying. To ensure the audiences understand what is being presented, effective data visualizations need to be created, and this all starts with knowing who your audience is and what your data is all about. In this course, you'll learn the essentials of creating great data visualizations and how to use different forms of data visualizations.
In order to adopt Big Data, senior leadership must be able to establish investment priorities, balance speed and cost, and ensure acceptance by the front line. But they must also build a plan based on data, analytic models, and tools. In this course, you will compare scaling up to scaling out, identify different analytical models, and learn how to secure funding for data initiatives.
Big data dramatically impacts all aspects of business culture. Companies need to evolve from their traditional methods and practices to be able to use big data to improve their organization. In this course we will examine the impacts of big data from the marketing perspective. we will look at how the mobile effect has changed marketing, how purchasing habits have changed and what impact datafying consumer behavior has done.
By proactively dealing with privacy issues, organizations can safely leverage Big Data while still retaining customers, and avoiding reputational harm, litigation, and regulatory scrutiny. In this course, you will examine privacy concerns, how data can be used ethically, and what to do about social media.
Big data is a term for data sets so large that traditional data processing applications can not be used to perform any sort of analysis. It is often semi structured or unstructured in form. There are a number of unique challenges that arise when companies begin to use big data. The least of which are the engineering concerns. This course will introduce some of those engineering challenges and describe how some companies have come up with solutions.
Big Data is a popular term nowadays and it refers to extremely large sets of data that can be analysed by organisations to reveal patterns, trends or behaviour patterns of customers or a certain demographic. Hadoop is a programming framework based on Java that helps in the processing of Big Data. Big Data Hadoop Administrators are associated with implementation and support of the Enterprise Hadoop environment. This Big Data Hadoop Administrator Certification course provides high-quality instruction-led training and is designed to ensure that the candidates are job ready. In addition to real-life industry projects, the course equips the learners with skills like provisioning, installing, configuring, monitoring, maintaining and securing Hadoop and Hadoop Eco system components. On the successful completion of this course, an experience certificate in Hadoop Administrator is provided.
The program aims to prepare aspirants for engineering/ development roles in the Big Data Industry. Learners who pursue this program will acquire the requisite skills in Computer Science and Data Engineering needed by the industry for the development of Big Data Applications. Additionally, learners will also acquire skills of technical Problem Solving
The program aims to prepare aspirants for Development/ Analytical roles in the Big Data industry. Learners who pursue this program will acquire the requisite skills in Computer Science and Data Engineering needed by the industry for the development of Big Data Applications. Additionally, learners will also acquire skills of technical problem-solving
As capabilities and capacities of modern computers continue to proliferate, data warehousing, and business intelligence more broadly, have become fundamental to maintaining business competitiveness. This course describes the concepts and methodologies involved in creating data warehouses and using them to extract business intelligence.
Human Resource Analytics is an intensive instructor-led three day course which is specifically designed and focused on applying the analytics techniques using R in the field of Human Resources for the students with HR specialisation. The main topics that are covered in HRA are Talent analytics, People analytics, Performance analytics and Recruitment Analytics. This course will hand hold the students from fundamentals of R programming, R syntax, variables and operators building till building data analytics models to perform the specific analysis.