DataMites Data mining training is a growing demand on the market as the world is generating data at an increasing pace. R is a popular programming language for statistics. It can be used for day-to-day data analysis tasks.
Data mining is a very deep topic and takes some time to learn. This course will help you to understand the mathematical basics quickly, and then you can directly apply what you’ve learned in R. This course covers each and every condition of data mining in order to prepare you for real-world problems. You'll come to understand the different disciplines in data mining. In every discipline, there exist a variety of different algorithms. At least one algorithm of the various classes of algorithms will be covered to give you a foundation to further apply your knowledge to dive deeper into the different flavors of algorithms.
A globally reputed AI Expert with 19 years experience in Analytics and Data Science. Ashok Veda trained over 20k Data Science aspirants , currently serving as Founder and CEO at Rubixe.com, an AI company. Ashok Veda holds MBA from IIMA and University of Amsterdam. PH.D scholar in AI
Instructor Led Live Online
Self Learning + Live Mentoring
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The entire training includes real-world projects and highly valuable case studies.
IABAC® certification provides global recognition of the relevant skills, thereby opening opportunities across the world.
R Language , originally designed for Statistical computing in 1990's , is now a popular platform for Data mining. Data mining has to do with exploring and discovering insights from the data. Data mining involves, statistics, data mugging and machine learning to achive this desired insights.
"Data Mining with R", is designed for candidates with or without programming skills, with basics of Data importing, Data mugging and coding Machine Learning algorithms along with effective programming techniques.
The objective of this course is to provide the fundamentals of R programing and introduce Data Science concepts and Machine Learning.
This course is at intermediate level, so most Data Science aspirants can opt for Data Mining with R
R is the most popular programming language in Machine Learning and Deep Learning alorithms as on Today. A quick search in indeed.com reveals about 20,000 open job opportunities in USA alone as a day average in year 2017 for R professionals. This trends is only going to increase exponentially in year 2018 to 2020, aligning to 3 million Data Science job opportunities by 2020 as estimated by IBM Inc.
This course is designed to imbibe the best practice programming skills in Data Mining with R with real world Machine Learning case studies. Candiates pursuing this course will be aligned with the current market job requirements.
There is no such prerequisite to be fulfilled from your side to learn R programming. However, a basic programming language can be helpful.
In recent years, R gained popularity for Machine Learning. This course provide the advantage of cutting complexity of R Language and focus on learning Data Mining with R in most efficient and effective manner to become R Data Science developer.
At DataMites™, we truly believe and very excited about this big wave of Data Science. There are millions of jobs and business opportunities across the globe as of today and this is only going to increase exponentially in coming years.
DataMites is founded by a group of passionate Data Science evangelists with decades of experience in Analytics, big data and Data Science working with fortune 100 companies, across the globe. The mission of DataMites™ is enable data science professionals with strong data science skills aligned market requirements and be a part of this phenominal Data Science era.
DataMites™ provide flexible learning options from traditional classroom training, lastest virtual live classroom to distance course. Based on your location preference, you may have one or more learning options
This course is perfectly aligned to the current industry requirements and gives exposure to all latest techniques and tools. The course curriculum is designed by specialists in this field and monitored improved by industry practitioners on continual basis.
All certificates can be validated with your unique certification number at IABAC.org portal. You also get candidate login at exam.iabac.org , where can find your test results and other relevant validation details.
The results of the Exam are immediate, if you take online test at exam.iabac.org portal. The certificate issuance, as per IABAC™ terms, takes about 7-10 bussiness days for e-certificate.
No, the exam fees are already included in the course fee and you will not be charged extra.
Course fee needs to be paid in one payment as it is required to block your seat for the entire course as well as book the certification exams with IABAC™. In case, if you have any specific constrains, your relation manager at DataMites™ shall assist you with part payment agreements
DataMites™ has a dedicated Placement Assistance Team(PAT), who work with candidates on individual basis in assisting for right Data Science job.
You get 100% refund training fee if you the training is not to your satisfaction but the exam fee will not be refunded as we pay to accreditation bodies. If the refund is due to your availability concerns, you may need to talk to the relationship manager and will be sorted out on case to case basis
DataMites™ provides loads of study materials, cheat sheets, data sets, videos so that you can learn and practice extensively. Along with study materials, you will get materials on job interviews, new letters with latest information on Data Science as well as job updates.
The DataMites Placement Assistance Team(PAT) facilitates the aspirants in taking all the necessary steps in starting their career in Data Science. Some of the services provided by PAT are: -
The DataMites Placement Assistance Team(PAT) conducts sessions on career mentoring for the aspirants with a view of helping them realize the purpose they have to serve when they step into the corporate world. The students are guided by industry experts about the various possibilities in the Data Science career, this will help the aspirants to draw a clear picture of the career options available. Also, they will be made knowledgeable about the various obstacles they are likely to face as a fresher in the field, and how they can tackle.
No, PAT does not promise a job, but it helps the aspirants to build the required potential needed in landing a career. The aspirants can capitalize on the acquired skills, in the long run, to a successful career in Data Science.
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