This course "Data Mining", 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 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.
Become an expert in this lucrative "Data Mining" field with DataMites's training program. This Data Mining program provides requisite knowledge on concepts of Data analysis using R language and also the techniques of Machine learning and Text Mining. These are the most premier and demanding concepts needed to analyse the huge volume of data from different perspectives to gain better business insights. By choosing this DataMite's "Data Mining" course, it allows you to set your complete focus on these specified topics, R language, Machine learning and Text Mining to gain a specialisation.
Your big career move is all set now, as this Data mining course focuses on specialisation of skill set involving the techniques of Machine learning, Text Mining using the R programming language. Opting this course would be a perfect idea to explore, analyse and leverage data in order to arrive at valuable information for your company.
After successful completion of this "Data Mining" course, you should have acquired following skills
Data Mining is a powerful tool that many companies want to adapt in order to increase the accuracy of results they arrive from their raw data. Since the companies are readily interested in applying these new technologies for their data analysis, there is already a steep growth of opportunities in this field. Though the data mining concept is not pretty new and has been there for decades, it is becoming popular because of increased amount of data, fast processing and reduced cost in storage. As a Data Analytics professional, after completing this course you would see an increased growth in your career.
"Our search for world class career ended at DataMites" is what, quoted by all of our candidates. Only experts with real time experience and better understanding of concepts can teach the candidates well. True, we have world class faculties who can make you understand even the toughest concepts at ease. DataMite's certification that you acquire after completing this course has industry recognition and adds weightage to your resume.
Introduction to R:
Data Manipulation with R:
Data Visualization with R:
The following topics are covered in "Machine Leaning"
Machine Learning Introduction: Supervised and Unsupervised Learning
Multiple Linear Regression
Support Vector Machines:
The topic covered in "Text Mining" are
Total course fee should be paid before 50% of the course completion. We also have EMI option tied up with bank. Check with coordinators.
No, Most of software are free and open source. The guidelines to setup software is a part of course.
Certified Data Scientist is delivered in both Classroom and Online mode. Classroom is provided in selected cities in India such as Bangalore, Hyderabad.
All the online sessions are recorded and shared so you can revise the missed session. For Classroom, speak to the coordinator to join the session in another batch.
We have a dedicated PAT (Placement Assistance team) to provide 100% support in finding your dream job.
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
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