Do you know that in next 3 years more than half of the data in this world will move to Hadoop? No wonder McKinsey Global Institute estimates shortage of 1.7 million Big Data professionals over next 3 years.
Considering this increasing gap in the demand and supply with the help of this Big Data Hadoop training, IT/ ITES professionals can bag lucrative opportunities and boost their career by gaining sought after Big Data Analytics skills. In this Big Data training attendees will gain practical skill set on Hadoop in detail, including its core and latest components, like HDFS, MapReduce, Pig, Hive, Impala HBase, Jasper, Sqoop, Flume, Oozie, Zoopkeeper, Spark and Storm. For extensive hands-on practice, in both Hadoop online training and classroom training candidates will get access to the virtual lab and several assignments and projects for Big Data certification. At end of the program candidates are awarded Big Data Certification on successful completion of projects that are provided as part of the training. Optionally, candidates can also appear for the Cloudera or Hortonworks Big Data Hadoop certification after this course.
A completely industry relevant Big Data Analytics training and a great blend of analytics and technology, making it quite apt for aspirants who want to develop Big Data Analytics skills and head-start in Big Data!
Course duration: 100 hours (Atleast 50 hours live training + Practice and Self-study, with ~8hrs of weekly self-study)
IT/ ITES, Business Intelligence, Database professionals/ computer science (or any other circuit branches) graduates who want to get into a Big Data Analytics/ Developer role.
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See our combo offers here.
|Course Duration||100 hours|
|Tools||Cloudera Hadoop quick start (CDH 5.4.1) and Apache Hadoop|
|Learning Mode||Live Training|
|Next Batch||22nd January, 2017|
Access to 48 hours of instructor led live classes of 16x3 hours each, spread over 8 weekends
Video recordings of the class sessions for self study purpose
Weekly assignment, refernce codes and study material in PDF format
Module wise case studies/ projects
Specially curated study material and sample questions for Big Data Certification (Developer/Analyst)
Career guidance and career support post the completion of some selected assignments and case studies
Don’t worry. You will always get a recording for the class in your inbox. Have a look at that and reach out to the faculty in case of doubts. All our live classes are recorded for self-study purpose and future reference, and these can also be accessed through our Learning Management System. Hence, in case you miss a class, you can refer to the video recording and then reach out to the faculty during their doubts clearing time or ask your question in the beginning of the subsequent class.
You can also repeat any class you want in the next one year after your course completion.
6 months post your course completion. If needed, you can also repeat any number of classes you want in the next one year after course completion.
Virtually the recordings are available to you for lifetime, but for judicious use of IT resources, the access to these recordings get deactivated post 6 months, which can be extended upon requests.
No. Our recordings can be accessed through your account on LMS or stream them live online at any point of time though.
Recordings are integral part of AnalytixLabs intellectual property by Suo Jure. The downloading/distribution of these recordings in anyway is strictly prohibited and illegal as they are protected under copyright act. Incase a student is found doing the same, it will lead to an immediate and permanent suspension in the services, access to all the learning resources will be blocked, course fee will be forfeited and the institute will have all the rights to take strict legal action against the individual.
The sharing of LMS login credentials is unauthorized, and as a security measure, if the LMS is accessed by multiple places, it will flag in the system and your access to LMS can be terminated.
Yes. All our course are certified. As part of the course, students get weekly assignments and module-wise case studies. Based on the selected assignments and case studies (atleast 70%), the certificate shall be awarded.
We follow a comprehensive and a self-sustaining system to help our students with placements. This is a win-win situation for our candidates and corporate clients. As a pre-requisite for learning validation, candidates are required to submit the case studies and project work provided as a part of the course (flexible deadline). Support from our side is continuous and encompasses help in profile building, CV referrals through our ex-students, HR consultants and companies directly reaching out to us.
We will provide guidance to you in terms of what are the right profiles for you based on your education and experience, interview preparation and conducting mock interviews, if required. The placement process for us doesn’t end at a definite time post your course completion, but is a long relationship that we will like to build.
No institute can guarantee placements, unless they are doing so as a marketing gimmick! It is on a best effort basis.
In professional environment, it is not feasible for any institute to do so, except for a marketing gimmick. For us, it is on a best effort basis but not time – bound – in some cases students reach out to us even after 3 years for career support.
Yes we have classroom option for Delhi-NCR candidates. However, most of our students end up doing instructor led live online classes, including those who join classroom in the beginning. Based on the student feedback, the learning experience is same both in classroom and instructor led live online fully interactive mode.
We provide both the options and for instructor led live online classes we use the gold standard platform used by the top universities across the globe. These video sessions are fully interactive and students can chat or even ask their questions verbally over the VoIP in real time to get their doubts cleared.
To attend the online classes, all you need is a laptop/PC with a basic internet connection. Students have often shared good feedback of attending these live classes through their data card or even their mobile 3G connection, though we recommend a basic broadband connection.
For best user experience, a mic-headphone is recommended to enhance the voice quality, though the laptop’s in-built mic works fine and you can ask your question over the chat as well.
Through the LMS, students can always connect with the trainer or even schedule one-to-one time over the phone or online. During the course we also schedule periodic doubts-clearing classes though students can also ask doubts of a class in the subsequent class.
LMS also has a discussion forum where a lot of your doubts might get easily answered.
Incase you are having a problem still, repeat the class and schedule one-to-one time with the trainer.
For all the courses, we also provide the recordings of each class for their self-reference as well as revision in case you miss any concept in the class. In case you still have doubts after revising through the recordings, you can also take one-to-one time with the faculty outside classes during. Furthermore, if students want to break their courses in different modules, they get one year time to repeat any of the classes with other batches.
Not for this course. The instalment options are available only for our courses which are atleast 3 months long.
It is recommended to have 64-bit operating system with minimum 8GB RAM so that the virtual lab can be installed easily
AnalytixLabs stands out from the crowd of vast analytics institutes mainly because of its practical and conceptual approach.The faculty is highly skilled with phenomenal industry experience which is displayed in every learning aspect.They would try their best to resolve every doubt you have. The course content and assignments are very well crafted which would help a lot securing a good job. AnalytixLabs is the right place if someone is looking to learn Analytics from scratch.- Prachi Khurana (Senior Associate Analyst at WNS Global Services)