Amitysoft started its Illustrious journey in 1998 with core values, vision and passions to excel.
Innovators of
"> Testing & Quality Career Courses in India with 15 years of large scale placements. Providers of software testing, information security, quality certification and ERP services with highest customer satisfaction.
Data Analytics & Visualization
Training
This course will provide foundation to understand big data and be part of data analytics projects. It will cover the lifecycle of big data analytics to address business needs leveraging big data. Basic and advanced analytic methods including technology and tools used will be introduced.
Foundation of Big Data Analytics
This module will provide necessary background to Big Data space with state of the practice in Analytics. Students will understand Role of Data Scientist and Big Data analytics as applicable to the Industry. This will also cover various stages of Data Analytics Lifecycle.
Data Analytics using R
This module will provide hands on approach to understand R, using R to view data and Analyze data. Statistical Model building and evaluation will be part of this module.
Advanced Analytics
This module will deal with theories and methods used for advanced analytics. Approaches to analysis including Clustering, Association Rules, Liner and Logistic Regression, Decision Trees, Time Series will be covered.
Adobe and Map Reduced Technologies
Analytics for unstructured data – MapReduce and Hadoop will be covered. Gain skill using Hadoop Ecosystem for in-database analytics, SQL, Advanced SQL and MADlib for In-database Analytics.
Delivering Analytics Results
This module will provide knowledge to manage and deliver analytics projects, identifying and creating final deliverables. Data Visualization techniques and presentation of results to convince business will also be covered.
What is Big Data Analytics?
Big Data Analytics deal with Information aspects of data – which is voluminous, of multiple variety and which is getting generated aggressively. We can compare it to Arctic Ice. The data that is utilized in business systems is like the arctic ice that is seen is above the surface which is very small compared to what is below. Huge data that is getting generated around the world from conventional IT systems and from the digital world where business goes beyond the boundary and marries with social networks. Breaching social boundaries give birth to new data type - the data type becoming more of unstructured social chats to images in photos & videos to audios. This leads to yet another dimension of speed in which data getting generated in boundary less world. These data convey a meaning when the context is understood and provide an insight when analyzed. Big data analytics not only enable business to grow faster but also benefit consumers by providing the best choice at the lowest cost.e.
Who can get into Big Data?
Whether you are a Business Analyst or Data Base Administrator in Information Technology, whether you are a Statistician or Economist who can make sense of huge data you have great opportunity in Big Data Analytics. If you are project manager or a project lead, Big Data projects are awaiting you. If you are a developer, development in Big data provides better scope. If you are already in Information Technology providing solutions to customers by implementing products or supporting customer or a quality assurance professional with better sense of products and customers you should not miss big data opportunity. Architecting for Big data and Designing Big Data are skill areas requiring wider knowledge of tools and technologies with understanding of business.
Big Data Career Opportunities
We can categories the opportunities into three groups (i) Big Data Analyst (ii) Data Scientist and (iii) Big Data Developer. Big Data Analyst is a professional who are capable of understanding business, organize & analyze data from disparate sources and produce results for business using existing tools and technologies. Big Data Developer writes programs to create and interpret large data sets often using existing development environment or using custom tools in order that Big Data Analyst is able to generate required results for business. Big Data Scientist is a role which requires predominantly analytical skills with deep sense of data and technology besides knowledge of various algorithms that can exploited for analysis. While this can be seen as an intersection of Big Data Analyst role and Big Data Developer role, this is a role which will use Big Data Analyst and Developer to provide results to business..
What is required to become Big Data Analyst?
Big Data Analyst is a critical role in Big Data projects. As the Big Data Analyst requires knowledge of business, existing Information Technology professionals can easily find an entry. As Big data projects deals with huge data often using several conventional and unconventional data bases, Data Base Administrators with experience in enterprise data bases can find their existing experience as a stepping stone to move into Big Data. As most of the analysis involves statistics people with reasonable background in statistics or mathematics can find their knowledge benefitting entry into the lucrative field of Big Data. Econometrics another subject area knowledge where economics and mathematics come into play will be useful in several big data projects. Mathematics required for analyst is not more than what is covered in mathematics as one of the subjects in graduate level while Higher Secondary level mathematics or statistics is good enough for highly motivated people entering into this career. Project Leads and Project Managers will find their management skills sought after for big data projects which are to be managed effectively to produce intended results. It is true that big data is a green pasture for people with various background referred above. But it is not if they are not prepared for the career by acquiring skills that can complement their existing skills to become Big Data Analytics. Biggest mistake people do is to take up couple of days of training in popular tools such as Hadoop or MapReduce thinking that that would provide them a career in big data space. Most of the time people spend in such programs is learning about installing the tools and running one standard example which they can do without spending any money by simply downloading and following various guidance available on the net. At the of such programs people come out with completely incorrect understanding of the big data application and often missing to recognize and capitalize on potential career opportunities.
Training required to become Big Data Analyst
A career level entry program should provide a refresher on statistics with the approach to impart ‘statistical thinking’ rather than list of dry formulae one after another. People should learn how to build models of various business scenarios and analyze using realistic data. They should know how to perform regression analysis, cluster analysis and Segmentation using Decision Trees. It is essential to learn how to build and validate predictive models for business problems and coming out with solutions which can be visually communicated. The should get a hang on how to exploit social media, mobile analytics and cloud that complement Big Data Analytics. Hands on experience should include popular open source tools such as Hadoop, MapReduce, Hive and R besides an understanding of commercial tools. Any training of less than 100 hours without extensive hand-on using business problems and realistic data will not provide necessary foundation required to enter into big data space.
Career Path for Big Data Analyst
Big data space is expected to provide accelerated career growth. While the growth path is emerging one can make an entry into the field as Junior Big Data Analyst and graduate to become Senior Big Data Analyst. This position provides a platform to become Big Data Scientist as well based on aspiration and background of individuals. Senior roles include Big Data Project Manager, Architect or Business Manager for Big Data. Big Data industry has clocked more than US $ 500M more than three years back and poised for accelerated growth according to various experts. Acquiring skills in this area will no doubt will help gaining a piece of this fast growing pie of Information Technology income.
Amitysoft’s Big Data Training Program
Amitysoft innovated career courses for software quality assurance 16 years back, when the QA area was not a conventional career opportunity in Information Technology. It provided a strong foundation to aspiring fresher as well as experience people from IT and other industry who wanted to move to IT. Amitysoft’s students are well employed by IT houses and multinationals around the world, several of them reaching their peak in their career as VPs, Directors and CEO. Amitysoft is not just another training institute providing all sort of IT training. Amitysoft carefully monitors and chooses the upcoming unconventional opportunities and builds a training course for people to make a career in IT. Amitysoft launched its enterprise solutions during the last decade which brings in business knowledge and experience in enterprise data for Big Data Analytics. The courses are taught by its professional team members providing service to industry, who double up as faculty bringing practical experience. Amitysoft’s training is also much sought out by industry and is retained as corporate trainer by major multinationals.
Contact Us
Amitysoft Technologies Pvt. Ltd.,
6/22, Second Floor,
Dhandapani Street,
T.Nagar,
CHENNAI - 600 017 , India.
Phone: (044) 24328077 , 42035577
Email: info@amitysoft.com
99 & 100, Prestige Tower,
Ricoh Business Zone,
Residency Road,
BANGALORE - 560 025 , India.
Phone : +91 80 49124077
Email: info@amitysoft.com
No.18, 2nd Floor,
Vysling Arcade, EVR Road,
Puthur,
TRICHY - 620 017 , India.
Phone: 0431-4040030
Email: info@amitysoft.com