|Course or Certification Name||Category||Location||Mode of learning|
|Microsoft SQL Server Data Warehousing and Business Intelligence Overview||MS Sql Server Administration||Online self study|
|Business Intelligence Concepts, Tools, and Applications||Data Visualization||Online self study|
|Data Warehousing for Business Intelligence Specialization||Data Visualization||Online self study|
|Data Visualization & Business Intelligence Expert||Data Visualization||Online self study|
|Microsoft Certified Solutions Expert - MCSE Business Intelligence||Mobile app development||Online self study|
|Vskills Certified Business Intelligence Professional||Business Analytics||Online self study|
|MCSE Business Intelligence : 70-466 Implementing Data Models and Reports with Microsoft SQL Server||MS Sql Server Administration||Online self study|
|Big Data Hadoop Expert Program - Online Classroom||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Big Data and Hadoop Developer Online Certification Training||Big Data||Online self study|
|SQL - MySQL for Data Analytics and Business Intelligence||MS Sql Server Administration||Online self study|
|Advanced Data Science for Practicing Business Analysts||Business Analytics||Classroom|
|Big Data Analytics and Artificial Intelligence (AI): Strategic and Actionable Insights||Big Data||Classroom|
|70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012||MS Sql Server Administration||Online self study|
|Analyzing and Visualizing Data with Power BI by Microsoft||Data Visualization||Online self study|
|Analytics & Data Science Master Subscription||Data Science||Online self study|
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.
The course gives an overview of how business intelligence technologies can support decision making across any number of business sectors. These technologies have had a profound impact on corporate strategy, performance, and competitiveness and broadly encompass decision support systems, business intelligence systems, and visual analytics. Modules are organized around the business intelligence concepts, tools, and applications, and the use of data warehouse for business reporting and online analytical processing, for creating visualizations and dashboards, and for business performance management and descriptive analytics.
This Specialization covers data architecture skills that are increasingly critical across a broad range of technology fields. You’ll learn the basics of structured data modeling, gain practical SQL coding experience, and develop an in-depth understanding of data warehouse design and data manipulation. You’ll have the opportunity to work with large data sets in a data warehouse environment to create dashboards and Visual Analytics. You will use of MicroStrategy, a leading BI tool, OLAP (online analytical processing) and Visual Insights capabilities to create dashboards and Visual Analytics. In the final Capstone Project, you’ll apply your skills to build a small, basic data warehouse, populate it with data, and create dashboards and other visualizations to analyze and communicate the data to a broad audience.
Data Visualisation refers to the representation of data and information in visual forms. Business intelligence (BI) is an umbrella term that includes the applications, infrastructure and tools, and best practices that enable access to and analysis of information to improve and optimize decisions and performance. | This course has been designed to provide the best learning methods in the industry so that candidates get to understand the essentials of data visualization and business intelligence | Designed professional experts, the course offers in-depth knowledge on how to create effective data visualizations and of the different forms of visualizations | The course also helps candidates get hands-on experience on some of the prominent tools like Tableau and QlikView | Upon completion of the course, a certificate is awarded
The Microsoft Certified Solutions Expert (MCSE) is a certification track that offers a wide range of programs designed to take your career to the next level. This MCSE: Business Intelligence course offers the skills and techniques needed to design, build and deploy SQL Server business intelligence (BI) solutions that deliver more data to more people across the organisation | This course provides quality learning modules designed by industry experts and is aligned with the MCSE: Business Intelligence exam syllabus | This course covers various topics like querying SQL Server 2012/14, administering SQL Server 2012/14 databases, implementing a data warehouse, implementing data models and designing business intelligence solutions | The candidates are awarded a certificate completion certification upon completion of the course
Vskills certification for Business Intelligence assesses the candidate for a company’s data analytics and business intelligence needs. The certification tests the candidates on various areas in business intelligence which includes knowledge of planning, designing, implementing and maintaining the organization’s data warehouse, data mining, data analytics and data intelligence for better decision making. "The certification is intended for professionals and graduates wanting to excel in their chosen areas. It is also well suited for those who are already working and would like to take certification for further career progression. | Earning Vskills Business Intelligence Professional Certification can help candidate differentiate in today's competitive job market, broaden their employment opportunities by displaying their advanced skills, and result in higher earning potential. "
Data modelling is the key to success in Business Intelligence (BI) and the cornerstone to building data warehouse applications.| This 70-466 Implementing Data Models and Reports with Microsoft SQL Server offers training to candidates to gain skills in reporting and analysis solutions for implementing data models and reports | Focussed on BI developers, the course provides high-quality online content developed by some of the prominent professionals in the industry | The course covers various topics like designing multidimensional models, implement and configure cubes, MDX queries, tabular data models and other related areas | A course-completion certification is awarded to the candidates
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. | Mastering Hadoop and related tools: The course provides you with an in-depth understanding of the Hadoop framework including HDFS, YARN, and MapReduce. | Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. | The ‘Impala-an Open Source SQL Engine for Hadoop’ is an ideal course package for individuals who want to understand the basic concepts of Massively Parallel Processing or MPP SQL query engine that runs on Apache Hadoop. On completing this course, learners will be able to interpret the role of Impala in the Big Data Ecosystem. | MongoDB Developer and Administrator certification from Simplilearn would equip you to master the skills to become MongoDB experienced professional. By going through this MongoDB training you would become job ready by mastering data modelling, ingestion, query and Sharding, Data Replication with MongoDB along with installing, updating and maintaining MongoDB environment. | Apache Kafka is an open source Apache project. It is a high-performance real-time messaging system that can process millions of messages per second. It provides a distributed and partitioned messaging system and is highly fault tolerant.
This course on Big Data and Hadoop Development is very useful to acquire knowledge and sharpen skills for Hadoop development. Comprising of introduction to the Big Data Eco System, its requirement in todays environment and its applications, it also focuses on Hadoop Architecture, MapReduce frameworks, initiating with installations along with discovering technologies such as Pig, Hive, HBase, ZooKeeper, Oozie, and Flume. For verifying the knowledge gain, the course consists of multiple assignments, quizzes and a project at the end. Professionals successfully concluding the project accomplishes the certifications
Become a proficient SQL user by writing flawless and efficient queries.|Prepare for SQL developer, Database administrator, Business Analyst, and Business Intelligence job opportunities|Gain theoretical insights about relational databases|Get maximum preparation for real-life database management|Work with a sophisticated real-life database throughout the course|Start using MySQL â?? the #1 Database Management System|Learn how to code in SQL|Create, design, and operate with SQL databases|Work with a sophisticated real-life database throughout the course
Necessity and success of use of analytics have led to the creation of analytics cell in most organizations dealing with data driven decision making. The subject being relatively new, there is acute shortage of formally qualified professionals for this field. Consequently, many of these working professionals have acquired their skills by on the job trial and error experience using software tools available in the organizations without any formal exposure to this complex subject. This restricts their understanding of the subject, often preventing them from utilizing the full potential of modern statistical and machine learning tools and techniques. A formal exposure to the theories and principles of the underlying methods they use would have significantly enhanced the quality of solutions they would otherwise deliver. Familiarity with emerging methods, tools and techniques beyond the limited options they are exploring would also add to their productivity. It will be an opportunity for such a group of professionals to familiarize themselves with state of the art theories and principles of analytics in action.
Big Data technologies have made it possible for companies to obtain newer and deeper insights into market behavior trends and preferences compared to what traditional analytics provided. With increase in the volume, variety and velocity of data being stored, collectively known as 3Vs, a large number of new data science techniques for carrying out predictive analytics on them have been developed. This program sensitizes participants on how companies can harness the potential of Big Data analytics to make more informed decisions, conduct various activities in radically different ways and create value and business growth. The program enables participants to diagnose business problems captured in structured and unstructured data, conduct in-depth analysis of the external as well as the internal environment and understand how best to generate strategic business insights that leverage Big Data analytics. It introduces participants to Big Data technologies like predictive analytics, information retrieval, Hadoop, MapReduce, etc. The program aims to raise awareness of participants about the challenges of leadership in visioning and managing Big Data projects and creating sustainable impact on a firm’s operations and performance.
This course is aligned with Microsoft Certified Solution Associate (MCSA): SQL Server 2012/2014, Microsoft Certified Solutions Expert (MCSE): Business Intelligence & Data Platform | Data warehouse also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis, and is considered a core component of business intelligence.| This 70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012 course provides the requisite training and knowledge for candidates to create and manage business intelligence solutions | The course covers various aspects of the profile like implementing data warehouse databases, extracting, transforming, and extracting data as part of an ETL solution, and data cleansing | With quality content designed by experts, the course awards candidates with a certification
Power BI is quickly gaining popularity among professionals in data science as a cloud-based service that helps them easily visualize and share insights from their organizations' data. | In this data science course, you will learn from the Power BI product team at Microsoft with a series of short, lecture-based videos, complete with demos, quizzes, and hands-on labs. You'll walk through Power BI, end to end, starting from how to connect to and import your data, author reports using Power BI Desktop, and publish those reports to the Power BI service. Plus, learn to create dashboards and share with business users--on the web and on mobile devices.
It is necessary to have expert analytics skills to become a high-valued professional in the Analytics & KPO industry. As the industry is evolving fast, professionals need to remain up-to-date with the latest technologies while being proficient in the popular ones. If you have a comprehensive skill set, you can get a chance to work with some of the top organisations in the industry. | This Analytics & Data Science Master Subscription course provides a holistic learning approach to candidates who want to become experts in the IT & Analytics industry. The course provides high-quality learning modules that cover major technologies and tools across multiple domains in the Analytics industry. | Some of the prominent course areas are Big data, Data Science, Machine Learning, Deep Learning, Power BI, Microsoft Excel, Data Modelling & more. | Candidates will have complete access to all the included courses for the whole course duration.