Data mining is the process of finding information for future predictions by analyzing big sets of data. Data mining is a hectic task for Data Science and it takes a diverse set of skills and knowledge to use row data and use it for valid insights.
Data Mining with Python covers all the theories and provides practical exposures that help you grasp the subject and become an expert in this domain. Data Mining is a fast-growing domain as we are generating a lot of data every day. There are many opportunities for people with in-depth knowledge of data mining.
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.
Python is the most popular programming language for Data Science as of Today. Python is a powerful , easy to learn and flexible tool for coding Data Science and Machine Learning algorithms. In recent years, Python has evolved immensely with respect to the Data Science sphere, with a huge community around Python creating quite a few power data science and analytics packages such as Pandas, Numpy, Scikit Learn, Scipy and more. As a result, analyzing data, modeling machine learning algorithms with Python has never been easier.
This course "Data Mining with Python", is designed for candidates with or without programming skills, with basics of Data importing and Data mugging along with effective programming techniques. This also includes Python Data Science challenges kit, enabling the candidates to not only understand Python core concepts but also gain practical mastery over Data Mining with Python, which is very much in demand in Today's Data Science job opportunities.
The objective of this course is to provide the fundamentals of Python programming and introduce Data Science concepts and Machine Learning.
This course is at beginner level, so most Data Science aspirants can opt for Data Mining with Python
Python is the most popular programming language in Machine Learning and Deep Learning algorithms as on Today. A quick search in indeed.com reveals about 50,000 open job opportunities in the USA alone as a day average in the year 2017 for Python professionals. This trend is only going to increase exponentially in the 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 Python with real-world Machine Learning case studies. Candidates pursuing this course will be aligned with the current market job requirements.
Any professional aspiring to become a Data Scientist can start from this course.
In recent years, Python gained popularity as the preferred language for Machine Learning and Deep Learning. This course provides the advantage of cutting complexity of Python Language and focuses on learning Data Mining with Python in the most efficient and effective manner to become a Python 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.
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.
The course covers Machine Learning, Deep Learning, AI, Big Data, AWS, Python/R, Statistics, Business aspects & Tableau.
Course covers Python Programming, Data Science Packages Numpy, Pandas, sklearn, scipy, matplotlib
Course covers Essential Statistics For Data Science, Hypothesis Testing and Exploratory Analysis
The Data Science training offered at DataMites are structures. The concepts were explained with lots of clarity. The topics were taught with the help of case studies. With a team of knowledgeable faculty of trainers. Ashok sir is a good mentor. I thank the DataMites team for supporting me in the learning process.
"I always wanted to explore the field of Data Science, Artificial Intelligence and Machine Learning. DataMites has helped me in doing so. The best part was method of training and upskilling they adopted. Many complicated topics were explained in detail, along with examples. There were seperate doubt clearing sessions, and the trainers were supportive."
"If you are looking for an institute for Data Science and Machine Learning training, you will not find a better one than DataMites. With the mentoring of Ashok Sir and team, I had the best experience in learning Data Science. The way concepts are taught to us, leavaes us thinking, as to how can such a colossal subject be broken down into simple parts. "
"My experience in DataMites was excellent. With knowledgeable trainers around to mentor you, it is nothing short of becoming a great learning experience. The training programs are well structured, along with an awesome classroom environment. DataMites has everything that you expect from a training institute. I recommend DataMites. "
Course covers AI Programming, Data Science packages Numpy, Pandas, sklearn, scipy, matplotlib
Course covers Data Science overview, Basics of Statistics, Machine Learning, Use cases
Course covers Neural Networks with Tensorflow, Tensor Board, Deep Leaning concepts