|Course or Certification Name||Category||Location||Mode of learning|
|Analytics & Data Science Master Subscription: 6 months||Data Science||Online self study|
|Software Masters Program- 200+ courses||Emerging Web Technologies||Online self study|
|PG Certification In Data Science & AI||Data Science||Classroom|
|Big Data - Post Graduate Program in Data Engineering Course||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|PG Diploma in Big Data Analytics (PG-DBDA)||Big Data||Classroom|
|Hadoop Administrator||Big Data||Online self study|
|Apache Kafka||Big Data||Online self study|
|Apache Spark Fundamentals||Big Data||Online self study|
|Big Data Architect Master's Program||Big Data||Noida , Delhi , Gurgaon , Chandigarh , Bangalore , Hyderabad , Chennai , Ernakulam||Online Classroom|
|Big Data Hadoop Training All in One||Big Data||Online self study|
|Artificial Intelligence Engineer Master's Program||Data Science||Online self study|
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.
Edvancer’s Post Graduate Certification In Data Science & Artificial Intelligence (PGC-DSAI) is a 6 month weekend classroom program for working professionals & freshers alike looking to start or make a switch into a data science & AI career. This program is one of the most comprehensive ones available in India and covers each and every aspect of this world of data science. It will equip you with all the technologies, conceptual knowledge and skillsets that you need to crack any data science & AI interview, transition into a career in this field and prosper in it. This is a course designed to get you a job in data science | Edvancer is India's leading data science training institute where we provide a range of courses on data science to all levels of learners. We have trained over 5,000 students and delivered over 10,00,000+ hours of learning. Our alumni work with some of India's top companies in data science and even globally. Our corporate clients include PwC, E&Y, L&T, HP, JP Morgan, Cognizant, Accenture, TCS, Microsoft etc
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.
Hadoop is an Apache Software Foundation project and open source software platform for scalable, distributed computing. Hadoop can provide fast and reliable analysis of both structured data and unstructured data. In this course you will learn about the design principles, the cluster architecture, considerations for servers and operating systems, and how to plan for a deployment. This learning path can be used as part of the preparation for the Cloudera Certified Administrator for Apache Hadoop (CCA-500) exam. | Apache Spark Fundamentals course introduces to the various components of the spark framework to efficiently process, visualize and analyze data. The course takes you through spark applications using Python, Scala and Java. You will also learn about the apache spark programming fundamentals like resilient distributed datasets and check which operations to be used to do a transformation operation on the RDD. This will also show you how to save and load data from different data sources like different type of files, RDBMS databases and NO-SQL. At the end of the course, you will explore effective spark application and execute it on Hadoop cluster to make informed business decisions.
Apache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. Professionals who are interested in big data or data analysis career can learn this tool. | This Apache Kafka course provides the candidates with the basic concepts and in-depth understanding of how to deploy it | The course also offers candidates skills on managing servers, data serialization and deserialization techniques, and strategies for testing Kafka | Designed by some of the best professionals in the industry, the course offers quality online learning modules | Upon successful completion, a certification is offered to the candidates
Apache Spark Fundamentals course introduces to the various components of the spark framework to efficiently process, visualize and analyze data. The course takes you through spark applications using Python, Scala and Java. You will also learn about the apache spark programming fundamentals like resilient distributed datasets and check which operations to be used to do a transformation operation on the RDD. This will also show you how to save and load data from different data sources like different type of files, RDBMS databases and NO-SQL. At the end of the course, you will explore effective spark application and execute it on Hadoop cluster to make informed business decisions.
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
Designed by industry experts to offer in-depth learning on Big data and Hadoop, this training program comes with real life projects and case studies| It renders you with in-depth knowledge and understanding of Hadoop framework encompassing Map Reduce, HDFS and yearn| The other topics included in this course are introduction to HBase Architecture, Hadoop Administration and maintenance and Hadoop Cluster setup| It further encompasses Hadoop testing, Hadoop administration, Hadoop analyst and Hadoop developer training | Candidates will also gain in-depth knowledge of pig and its components |Apart from this, one will get to learn spark SQL, transforming, querying and creating data frames
Becoming an Artificial Intelligence Engineer puts you on the path to an exciting, evolving career that is predicted to grow sharply into 2025 and beyond. Artificial intelligence and Machine Learning will impact all segments of daily life by 2025, with applications in a wide range of industries such as healthcare, transportation, insurance, transport and logistics and even customer service. The need for AI specialists exists in just about every field as companies seek to give computers the ability to think, learn and adapt |