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"data entry operator" courses, certification and training

  1. Vskills Certified Data Entry Operator Government Certification

    Data Entry Operators have good typing and numeric entry skills, and they help companies in updating data into a computer system database. Vskills Certified Data Entry Operator course assesses the candidate’s ability to entry data as per the company’s requirements. This specially designed government-certified course helps the candidate to acquire the necessary technical skills for typing and entry through the usage of MS-Office software. It tests the candidate’s ability to ensure correct and fast entry.

    100 hoursOffline self studyIntermediate
    $ 121 Take this Course

    Data Entry, Operations

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  2. Test 22 TITLE3

    Core Java Developer Certification helps demonstrate the overall comprehension and expertise of an individual to pick up Java programming language.t

    45 Students
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  3. Big Data Hadoop Solutions Architect Masters Program

    Designed to make certain that you change into a Hadoop Architect master, Big Data Hadoop Masters Program is a structured learning program recommended by famous industry experts. This certification includes real life projects that let you work through technical challenges connected with Hadoop Administration. When you complete the requirement of the course, you will get master certificate from Naukri learning certifying that you have gained the knowledge of Big Data Hadoop Solutions Architect. You will get knowledge in designing, maintaining and deploying Hadoop clusters and Nosql database technologies.

    2953 Students
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  4. Big Data Hadoop Expert Program - Online Classroom

    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.

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  5. Big Data Hadoop Architect Masters Program

    Big Data Hadoop Architect Program is a certification course that would help you build strong skill set in areas like Hadoop Development, Real time processing using Spark, and NoSQL database technology and transform you into a Hadoop Architect Expert. You would also be gain practical experience by implementing real life industry projects in the required Hadoop technologies.

  6. Simplilearn Data Scientist Master's Program

    This Master’s Program provides training in the skills required to become a certified data scientist. You’ll learn the most in-demand technologies such as Data Science on R, SAS, Python, Big Data on Hadoop and implement concepts such as data exploration, regression models, hypothesis testing, Hadoop, and Spark.

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  7. Big Data Hadoop & Spark Developer

    Spark Core provides basic I/O functionalities, distributed task dispatching, and scheduling. Resilient Distributed Datasets (RDDs) are logical collections of data partitioned across machines. RDDs can be created by referencing datasets in external storage systems, or by applying transformations on existing RDDs. In this course, you will learn how to improve Spark's performance and work with Data Frames and Spark SQL. Spark Streaming leverages Spark's language-integrated API to perform streaming analytics. This design enables the same set of application code written for batch processing to join streams against historical data, or run ad-hoc queries on stream state. In this course, you will learn how to work with different input streams, perform transformations on streams, and tune up performance. MLlib is Spark's machine learning library. GraphX is Spark's API for graphs and graph-parallel computation. SparkR exposes the API and allows users to run jobs from the R shell on a cluster. In this course, you will learn how to work with each of these libraries.

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  8. Big Data Fundamentals

    The course covers the way team works in big data companies, some challenges and opportunities that big data offers. You will also learn how big data is driving organizational change and the main challenges companies face when trying to analyze massive data sets. Besides, some fundamental techniques like big data stack, data mining and stream processing. In this training program, you will come across a number of tools for working with big data. It also lets you learn the technique of storing, processing and deploying in an enterprise scenario. You will gain a deep knowledge of what insights big data can offer through hands-on experience with the tools used by big data experts. At the end of the course, you will have a better understanding of the different applications of big data in industry.

    3 HoursOnline self studyIntermediate
    $ 120 Take this Course

    Big Data, , Cloud Computing

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  9. Implementing Data Warehouse MS SQL 2012

    Designed for experts to judge their expertise and skills to achieve the technical tasks, Implementing Data Warehouse, It is one of the most sought-after certifications in the globe | The course provides candidates with the technical skills needed to design and implement a data warehouse | It also renders information on automating an ETL solution with the help of SQL Server Integration services | In the course, the candidates will be introduced to the main components of a data warehousing solution |Moreover, the course will help aspiring data professionals to prepare for exam 70-463 called as implementing a Data warehouse SQL Server 2012

    1488 Students
    Online self studyIntermediate
    $ 51 Take this Course

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  10. Big Data Hadoop Expert Program

    Big Data Hadoop Expert Program ensures that you transform into a Big Data Hadoop expert by acquiring core skill sets, including Hadoop Development and mastering data modelling, ingestion, query and Sharding, Data Replication with MongoDB. The program also equips you with relevant work experience by implementing real life industry projects in the requisite Hadoop technologies.

  11. Hadoop and Big Data for Absolute Beginners

    Our course has been designed from the ground up to help you become an expert in Big Data, Hadoop and EC2 instance. But it doesn’t stop there, you will learn a few other technologies as well that can help you master big data including HDFS architecture, Map Reduce, Apache Hive and even Apache Pig. | The course includes the right balance of theory meets practical, allowing you to understand the real-world implications of using these technologies. At the end of this course, you will have the knowledge as well as the confidence to start tackling big data projects. | Hadoop is the more popular solution to big data. This open-source software framework is dedicated to storage and processing of big data sets using the MapReduce programming model. What it basically does is split files into large blocks and distributes them across nodes in a cluster. It then transfers packaged code into nodes to process the data in parallel. This simplifies the process of sorting and processes data faster and more efficiently.

    Online self studyBeginner
    ₹ 500 Take this Course

    Big Data,

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  12. Big Data Hadoop Expert

    Spark Core provides basic I/O functionalities, distributed task dispatching, and scheduling. Resilient Distributed Datasets (RDDs) are logical collections of data partitioned across machines. RDDs can be created by referencing datasets in external storage systems, or by applying transformations on existing RDDs. In this course, you will learn how to improve Spark's performance and work with Data Frames and Spark SQL. Spark Streaming leverages Spark's language-integrated API to perform streaming analytics. This design enables the same set of application code written for batch processing to join streams against historical data, or run ad-hoc queries on stream state. In this course, you will learn how to work with different input streams, perform transformations on streams, and tune up performance. MLlib is Spark's machine learning library. GraphX is Spark's API for graphs and graph-parallel computation. SparkR exposes the API and allows users to run jobs from the R shell on a cluster. In this course, you will learn how to work with each of these libraries.

    Course Selling Partner
  13. Vskills Certified Big Data and Apache Hadoop Developer Government Certification

    Big Data extremely large data sets that may be analysed computationally to reveal patterns, trends, and associations. Apache Hadoop is an open source software platform which was born out of the need to process and handle Big Data. A Hadoop Developer has the same role as that of a software developer but the former has also analytical and problem solving skills associated with the Big Data domain. Vskills Certified Big Data and Apache Hadoop Developer course offers extensive training to the candidates on essential skills required to become a successful Hadoop Developer, Administrator or Data Scientist professionals in the field of Big Data. This government certification tests the candidates on various areas of Hadoop platform and Big Data. The prerequisite for taking this course is knowledge of object-oriented programming like Java.

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  14. Big Data - Post Graduate Program in Data Engineering Course

    Evolved and designed by veterans in the Analytics industry, this program prepares students and working professionals to start or improve upon a career in the growing Data and Analytics domain. A perfect blend of technology, Data science and business cases and insights, the program stands out as among the best in the world. | This is a career oriented program that covers all the key aspects of Data Engineering. A great feature is the flexibility in the program to assimilate and incorporate technology updates into the modules, on the fly. This program also comes with the benefit of Placement support from 361 Degree Minds though you would not have the need since opportunities galore when you do this program. | We follow world class adult and remote learning methodologies. This ensures that the learning outcome of the program meets individual aspirations as well as market / industry expectations. | This program also equips you with a thorough knowledge on various Big Data Technologies including Hadoop, R, Python, Spark, RDBMS tools and a wide range of Access tools.

    180 HoursOnline ClassroomIntermediate
    Enquire Now

    Big Data, Data Science, Machine Learning,

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  15. PG Diploma in Data Science (Classroom) - India's Most comprehensive & Affordable program

    IMS Proschool offers a comprehensive and yet affordable program in Data Science. The program has an employment-oriented approach and is based on a detailed research of companies’ requirements. It prepares Students for roles like Business Analyst, Data Analyst and Data Scientist and is available in full time and part time modes. | Data Analytics is the science of analyzing data to find out patterns that will be helpful in developing strategies. Its usage can be found in almost every industry. Following is an indicative list of roles you can play in the analytics industry - Data engineers, Data analysts, Data Scientists, Business Analysts, Machine Learning Developers & BIG Data Analysts

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