Big Data Analytics Training
Big Data Analyst Salary
Learn about how much you can earn as a Big Data Analyst
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31,802+ EnrolledThere are no specific prerequisites required to learn Big Data. Any one can do big data courses.
30 Hours of Intensive Training on Big Data and its Frameworks
Industry Case Studies and Exercises for Enhanced Learning
Hands-On Training by Industry Experts
Gain Technical Expertise in Big Data Analytics
In-depth Questionnaires with Projects for Practice
Complimentary Access to 100+ e-Learning Courses
Big Data analytics is the process of gathering, managing, and analyzing large sets of data (Big Data) to uncover patterns and other useful information. These patterns are a minefield of information and analysing them provide several insights that can be used by organizations to make business decisions. This analysis is essential for large organizations like Facebook who manage over a billion users every day, and use the data collected to help provide a better user experience.
Similarly, LinkedIn provides its users with millions of personalized suggestions on a regular basis. LinkedIn does it with the help of components like HDFS features and MapReduce in Big Data Analytics. Big Data has thus become an indispensable part of technology and our lives; and big data analyses provides solutions that are quick and require reduced effort to generate. It is no wonder then that big data has spread like wild fire and so have the solutions for its analyses.
According to a recent McKinsey report the demand for ‘Big Data’ professionals could outpace the supply by 50 to 60 percent in the coming years, and U.S.-based companies will be looking to hire over 1.5 million managers and big data analysts with expertise on how big data can be applied. Big Data investments have also sky rocketed, with several top profile companies spending their resources on Big Data related research and hiring big data analysts to change their technology landscape.
An IBM listing states that the demand for data science and analytics is expected to grow from 3,64,000 to nearly 27,20,000 by 2020. According to a recent study done by Forrester, companies only analyze about 12% of the data at their disposal. 88% of the data is ignored, mainly due to the lack of analytics and repressive data silos. Imagine the market share of big data if all companies start analysing 100% of the data available to them. Hence the conclusion is that there is no time like now to start investing in a career in big data. It is paramount that developers upskill themselves with analytical skills and get ready to take a share of the big data career pie.
Big data analytics certification is growing in demand and is most relevant in data science today than in other fields. The field of data analytics is new and there are not enough professionals with the right skills. Hence, the credibility of big data analytics certification promises many growth opportunities for organizations as well as individuals in the booming field of data science.
Many big companies like Google, Apple, Adobe, and so on are investing in Big Data. Let’s take a look at the benefits of Big Data that organizations and individuals are experiencing:
Benefits for Individuals
An individual with Big Data analytics skills can make decisions more effectively
When the entire world is dependent on data, the Big Data Analyst profile plays a pivotal role in driving various businesses towards success. Now, let’s compare the salary of a Big Data Analyst in various countries in the following chart:
The above data can be compared more clearly through the following figure in order to compare the country-wise earning of a Big Data Analyst:
| Country Name | Currency | Salary (per annum) |
| India | Rupees (INR) | 4,14,628 |
| USA | Dollar ($) | 59,546 |
| UK | Pound Sterling (£) | 26,179 |
| Canada | Canadian Dollar (C$) | 55,004 |
The above data can be compared more clearly through the following figure in order to compare the country-wise earning of a Big Data Analyst:
(Fig: 1)
The above figure shows us that a Big Data Analyst based in the US earns a higher salary compared to the counterparts based in India, UK, and Canada. Now, let’s try to compare the salary earned by the Big Data Analysts across the globe based on experience through the following chart:
Country Name | Experience | Currency | Salary (per annum) |
India | Entry-level | Rupees (INR) | 3,21,470 |
Mid-career | 6,12,850 | ||
Experienced | 9,97,193 | ||
USA | Entry-level | Dollar ($) | 53,958 |
Mid-career | 66,347 | ||
Experienced | 68,510 | ||
UK | Entry-level | Pound Sterling (£) | 23,982 |
Mid-career | 30,226 | ||
Experienced | 33,202 | ||
Canada | Entry-level | Canadian Dollar (C$) | 49,325 |
Mid-career | 64,292 | ||
Experienced | 69,216 |
Now, let’s try to analyze the above data with the help of the following figure:
(Fig: 2)
In Fig:2, we can draw a clear comparison between the experience-wise salary that a Big Data Analyst earns in India, USA, UK, and Canada. The figure makes it clear that the highest salary for the profile is earned in the US by the experienced Big Data Analysts. Moreover, the above chart further enables you to make a clear distinction between entry-level, mid-career and experienced Big Data Analyst.
So, that was about the salaries that a Big Data Analyst earns based on the location and experience. But the major question that arises here is, which are the companies that pay the highest salaries in the above countries. The following table will help you to check the salary paid by the top companies in India:
| Company Name | Salary (in Rupees per annum) |
Tata Consultancy Services | 4,97,336 |
Cognizant Technology Solutions | 5,21,638 |
Accenture | 5,34,210 |
Tech Mahindra | 4,62,673 |
IBM | 4,30,624 |
Amazon | 5,84,937 |
Fig: 1 & 2 give us a clear picture of the fact that the earning of a Big Data Analyst is more in the US compared to other nations. Now let’s take a look at the salary paid to Big Data Analysts by companies based in the US.
| Company Name | Salary (in US Dollars per annum) |
CITI | 104,000 |
HP Inc. | 77,000 |
Auto Club of Southern California | 69,000 |
JB Micro | 110,000 |
Now, let’s check out the salaries paid by companies to Big Data Analysts based in United Kingdoms.
| Company Name | Salary (in Pound Sterlings per annum) |
Bloomberg L.P. | 42,515 |
Her Majesty’s Revenue & Customs | 32,015 |
Sport England | 46,296 |
Sky | 41,786 |
The following table will help you to identify the salary paid by the companies based in Canada to the Big Data Analysts while enabling you to compare the same with the other countries:
Company NameSalary (in Canadian Dollars per annum)TD
67,699
Scotiabank
59,938
Aimia
67,663
RBC
56,545
Rogers Communications
55,000
Creating Recommendation system for Online Video Channels with the Historical Data using Cubing Comparing with the Benchmark Values.
Creating Sentimental Analytics by Downloading the Tweets from Twitter and Feeds the trending data to the Application.
Performing Clickstream Analytics on the Application data and engaging Customers by Customizing the Articles to the Customer for a UK Web Based Channel.
Interact with instructors in real-time— listen, learn, question and apply. Our instructors are industry experts and deliver hands-on learning.
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Learn theory backed by practical case studies, exercises, and coding practice. Get skills and knowledge that can be applied effectively.
Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.
Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.
Get reviews and feedback on your final projects from professional developers.
Learning Objective:
You will get introduced to real-world problems with Big data and will learn how to solve those problems with state-of-the-art tools. Understand how Hadoop offers solutions to traditional processing with its outstanding features. You will get to Know Hadoop background and different distributions of Hadoop available in the market. Prepare the Unix Box for the training.
Topics:
1.1 Big Data Introduction
1.2 Hadoop Introduction
Hands On:
Installation of Virtual Machine using VMPlayer on Host Machine. And work with Some basics Unix Commands needs for Hadoop.
Learning Objective:
You will learn what are the different Daemons and their functionality at a high level.
Topics:
Hands On:
Creates a Unix Shell Script to run all the deamons at one time.
Starting HDFS and MR separately.
Learning Objective:
You will get to know how to Write and Read files in HDFS. Understand how Name Node, Data Node and Secondary Name Node take part in HDFS Architecture. You will also know different ways of Accessing HDFS data.
Topics:
Hands On:
Writes a shell Script which write and read Files in HDFS. Changes Replication factor at three levels. Use Java for working with HDFS.
Writes different HDFS Commands and also Admin Commands.
Learning Objective:
You will learn different modes of Hadoop, understand Pseudo Mode from scratch and work with Configuration. You will learn functionality of different HDFS operation and Visual Representation of HDFS Read and Write actions with their Daemons Namenode and Data Node.
Topics:
Hands On:Install Virtual Box Manager and install Hadoop in Pseudo distributed mode. Changes the different Configuration files required for Pseudo Distributed mode. Performs different File Operations on HDFS.
There are no prerequisites for attending this course.
Big Data analytics is important for companies and individuals to utilise data in the most efficient manner to cut costs. Tools such as Hadoop can help identify new sources of Data to help businesses to make quick decisions, understand market trends and develop new products
All of the training programs conducted by us are interactive in nature and fun to learn as a great amount of time is spent on hands-on practical training, use case discussions, and quizzes. An extensive set of collaborative tools and techniques are used by our trainers which will improve your online training experience.
The Big Data Analytics training conducted at SureCertificate is customized according to the preferences of the learner. The training is conducted in three ways:
Online Classroom training: You can learn from anywhere through the most preferred virtual live and interactive training
Self-paced learning: This way of learning will provide you lifetime access to high-quality, self-paced e-learning materials designed by our team of industry experts
Team/Corporate Training: In this type of training, a company can either pick an employee or entire team to take online or classroom training. Flexible pricing options, standard Learning Management System (LMS), and enterprise dashboard are the add-on features of this training. Moreover, you can customize your curriculum based on your learning needs and also get post-training support from the expert during your real-time project implementation.
The sessions that are conducted include 30 hours of live sessions, with 15 hours MCQs and 8 hours of Assignments and 20 hours of hands-on sessions.
Course Duration information:
Online training:
Weekend training:
Yes, our lab facility at SureCertificate has the latest version of hardware and software and is very well-equipped. We provide Cloudlabs so that you can get a hands-on experience of the features of Big Data Analytics. Cloudlabs provides you with real-world scenarios can practice from anywhere around the globe. You will have an opportunity to have live hands-on coding sessions. Moreover, you will be given practice assignments to work on after your class.
Here at SureCertificate, we have Cloudlabs for all major categories like cloud computing, web development, and Data Science.
We provide our students with Environment/Server access for their systems. This ensures that every student experiences a real-time experience as it offers all the facilities required to get a detailed understanding of the course.
If you get any queries during the process or the course, you can reach out to our support team.
The trainer who will be conducting our Big Data Analytics certification has comprehensive experience in developing and delivering Big Data applications. He has years of experience in training professionals in Big Data. Our coaches are very motivating and encouraging, as well as provide a friendly learning environment for the students who are keen about learning and making a leap in their career.
Yes, you can attend a demo session before getting yourself enrolled for the Big Data Analytics training.
We accept the following payment options:
SureCertificate offers a 100% money back guarantee if the candidates withdraw from the course right after the first session. To learn more about the 100% refund policy, visit our refund page.
If you find it difficult to cope, you may discontinue within the first 48 hours of registration and avail a 100% refund (please note that all cancellations will incur a 5% reduction in the refunded amount due to transactional costs applicable while refunding). Refunds will be processed within 30 days of receipt of a written request for refund. Learn more about our refund policy here.
Big Data refers to large amounts of structured and unstructured data that can be analysed using traditional databases and multiple software techniques to reveal patterns that can be used to meet business objectives. Analyses of such large amounts of unstructured data helps in understanding and predicting human behaviour and solving complex business problems. Big Data is huge and consists of complex data sets that traditional data processing software cannot manage.
Big data contains in it patterns and information which when mined can given an insight into customer behavior and preferences. This leads to new innovations, satisfied customers, smoother operations and higher profits. Let’s see the attributes that are making Big Data so popular today:
With the help of Big Data technologies like Hadoop and cloud-based analysis, organizations find out more efficient ways of doing business and bring cost advantages when it comes to storing huge amounts of data.
With the help of Hadoop and in-memory analytics, organizations can quickly analyze the data and will be able to make decisions based on their learnings.
Big Data helps businesses gauge customer requirements and preferences, based on which they can develop new products or improve existing products to meet customer needs.
Tons of data are generated every second from our activities on social networks, the internet, or even from traditional business systems. This data generated from various sources is very complex and unstructured, and requires analysis to make it useful.
Data Analytics technologies provide organizations the means to analyse the data and draw conclusions, which further helps them improve their business models and create a better experience for their customers. Big Data Analytics is an advanced form of analytics which involves several elements like statistical analysis, what-if, and predictive models. There are a lot of tools and applications that enable analysts and data scientists to analyse different forms of data that cannot be handled by the usual BI applications.
Big Data technology is used to store, retrieve and analyze large amounts of data to reveal hidden patterns, correlations, and other company-related insights. Big Data technology stacks help analyze data faster and help come up with better strategies to develop products that meet the customer’s requirements. Big Data analysis provides several advantages such as:
Big Data is used to discover hidden patterns, market trends and customer preferences. These in turn help organizations make informed business decisions, innovate products to meet customer preferences, cut costs, enhance efficiency and reduce time to market.
Data is the new oil and Big data is all about helping organizations beat competition and ensure market survival. In this volatile market where costs are hitting the roof and customers are volatile, it is important that businesses understand the pulse of the market and come up with innovations that meet the customers needs while also being cost, process and time efficient. The analyses of Big Data helps do all of that, and also helps in cost reduction and better decision making, which is why it has become indispensable to organizations.
Big Data analytics is indeed a revolution in the field of IT. It helps organizations to harness their data and use it to identify new opportunities and gain an insight to run their business efficiently. Companies can improve their strategies by keeping in mind customer preference. For example, Netflix Uses Big Data to Improve their Customer Experience.
There are many ways to learn Big Data Analytics. You can learn through tutorials, blogs, articles, books, etc. But the best way to learn about Big Data Analytics is by attending a training. The training will equip you with the skills to make a career shift to a promising field.
Below are the various resources to learn Big Data Analytics:
Big Data Course
Big Data Tutorials
Big Data Books
Blogs, articles
Yes, you need to have a good understanding of programming languages to learn Big Data Analytics.
To become a Big Data Analyst, you can take up the Big Data Analytics course. The course will help you understand the fundamentals and basics of Apache Hadoop and data ETL, ingestion, processing with Hadoop tools. Learn and understand the Pig framework and Hive framework. Moreover, you will get the opportunity to work on real-world projects as the course is curated by industry experts.
If you have not added Big Data Analytics skills to your resume yet, then this is the best time to do so. SureCertificate provides Big Data Analytics courses that have been crafted by experts which focus on job-readiness and hands-on skills. Build your concepts from scratch and assist your learning through step-by-step guidance on tools and techniques.
The Big Data Analytics course completion certificate by SureCertificate has lifetime validity.
Attending this Big Data Analytics training will help you in getting a job in the following ways:
Big Data Analytics expertise will benefit you in the following ways :
According to IDC, worldwide spending on big data and analytics is growing at a compound annual growth rate (GAGR) of 11.9 percent, and revenues will likely total more than $210 billion by 2020. This growth will only increase in the coming years as more and more data gets generated and the need to analyse it for business benefits increases. This has led to an increased demand for data scientists, analysts, and data management experts. Moreover, according to IDC, big data staffing shortage is expected to expand from analysts and scientists to include architects as well as experts in data management. Hence gaining expertise in this domain is sure to help you reap rich dividends in the future.
By the end of this course, you will learn about Big Data and Big Data Challenges. You will also gain knowledge of the Hadoop Daemon Processes, HDFS, Hadoop Installation Modes, and HDFS, Hadoop Developer Tasks, Hadoop Ecosystems, Data Analytics using Pentaho as an ETL tool.