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"mongodb" courses, certification and training

  1. Software Engineer Master Program

    Simplilearn's Software Engineer Master’s Program will help you master skills like Java, Python, Amazon Web Services, Agile Scrum Foundations and DevOps tools like Git, Docker, Spring, Hibernate, MySQL, MongoDB, TypeScript, Angular. The course is packed with hands-on code analysis and real-world projects to help you prepare for the role of a Software Engineer. | The program provides access to high-quality eLearning content, simulation exams, and other resources that ensure you follow the optimal path to your dream role of Software Engineer.

    Online ClassroomIntermediate
    ₹ 25,959 40% OFF ₹ 15,575 Take this Course

    DevOps, Languages, Game development, , Production

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  2. PGP in Data Science

    The Full-Time Post Graduate Program in Data Science with ML and AI (Formerly known as PGP in Business Analytics) aims at equipping students with the tools, techniques and skills to enable a seamless absorption into the domain of Analytics and grow into the roles of Data Scientists.

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  3. Big Data Architect Master's Program

    Simplilearn’s Big Data Hadoop Architect Masters Program will help you master skills and tools like Cassandra Architecture, Data Model Creation, Database Interfaces, Advanced Architecture, Spark, Scala, RDD, SparkSQL, Spark Streaming, Spark ML,GraphX, Replication, Sharding, Scalability, Hadoop clusters, Storm Architecture, Ingestion, Zookeeper and Kafka Architecture. These skills will help you prepare for the role of a Big Data Hadoop architect | The program provides access to high-quality eLearning content, simulation exams, a community moderated by experts, and other resources that ensure you follow the optimal path to your dream role of data scientist

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  4. POST GRADUATE EXECUTIVE CERTIFICATE PROGRAM IN DATA SCIENCE & BIG DATA

    Post Graduate Executive Certificate Program in Data Science & Big Data is a professional programme that includes 90 hours of online and offline sessions. The programme follows experiential learning into data analytics to give the participants a hands-on experience for managing complex and challenging data sets. The participants can take up exercises and assignments on various software packages such as R, Big data tools and Tableau. Other important aspect of this experimental learning is that it is facilitated through plug-n-learn technology, which gives the flexibility to one can attend sessions from any location, on either mobile or desktop. The course covers topics like | Introduction to Analytics, Data Base and Mining | Data Science | Data Mining (Lab Work Using R and Spark) | Tools - Excellence in Analytics | Data Science Roadmap | Machine Learning (Using R and Python) | Data Visualization (Using Slash, Tableau and other tools) | Case Study

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