Data Science course helps you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, Naive Bayes. You'll perform Big Data Analytics with R Programming, Hadoop and solve real life case studies on Finance, E-Comm, Social Media.
This Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modeling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.
There is no specific pre-requisite for the course however exposure to core Java and mathematical aptitude will be beneficial. MAT SOFT will provide you complementary self paced courses covering essentials of Hadoop, R and Mahout to brush up the fundamentals required for the course.
Learning Objectives - This module will give you an understanding of Big Data and the Roles and Responsibilities of a Data Scientist. You will learn how Hadoop and R are used in Big Data Analytics and what are the methodologies used in the Analysis. This module will cover common Big Data as well as non-Big Data problems and available methods in Data Science to solve these problems. We will also solve few real-life data sets a Data Scientist encounter in his day to day work using R, Hadoop and Mahout.
Topics - Introduction to Big Data, Roles played by a Data Scientist, Analyzing Big Data using Hadoop and R, Methodologies used for analysis, the Architecture and Methodologies used to solve the Big Data problems, For example, Data Acquisition from various sources, Data preparation, Data transformation using Map Reduce (RMR), Application of Machine Learning Techniques, Data Visualization etc., problem statement of few data science problems which we shall solve during the course.
Learning Objectives - In this module, you will learn the various data manipulation techniques using R.
Topics - Understanding vectors in R, Reading Data, Combining Data, subsetting data, sorting data and some basic data generation functions.
Yes, One can always use Windows to work on assignments. The initial 5 modules require R set-up which can be easily installed on your windows system. To work on Hadoop on your Windows, the simplest way is to install VMware Player on your Windows Machine. VMPlayer is a software using which you can run another operating system on your Windows. So, by using a VMPlayer and run an Ubuntu/Cloudera OS you can work on the R+Hadoop or Mahout environment and run the assignments. System Requirements to run VMplayer: RAM: 3 to 4 GB. Processor: i3 or above. A 64-bit system is recommended to run the Mahout libraries. To set-up the same, detailed step-wise installation guides are provided in the LMS. Our 24*7 team support will guide you to get the set-up ready.
We will help you to setup the required environment for practical. The set-up will comprise: - R programming IDE set-up - Setting up Hadoop - Performing R+Hadoop Integration - Installing Mahout The detailed step-wise installation guides are provided in the LMS for you. In case you come across any doubt, the 24*7 support team will promptly assist you.
You will never lose any lecture. You can choose either of the two options: 1. View the class presentation and recordings that are available for online viewing through the LMS. 2. You can attend the missed session, in any other live batch. Please note, access to the course material will be available for lifetime once you have enrolled into the course.
All our instructors are working professionals from the Industry and have at least 10-12 yrs of relevant experience in various domains. They are subject matter experts and are trained by MAT SOFT for providing online training so that participants get a great learning experience.
MAT SOFT is the largest online education company and lots of recruitment firms contacts us for our students profiles from time to time. Since there is a big demand for this skill, we help our certified students get connected to prospective employers. We also help our customers prepare their resumes, work on real life projects and provide assistance for interview preparation. Having said that, please understand that we don't guarantee any placements however if you go through the course diligently and complete the project you will have a very good hands on experience to work on a Live project.
Yes, this can be done. Moreover, this ensures that when you will start with your batch, the concepts explained during the classes will not be totally new to you.
Requesting for a support session is a very simple process. As soon as you join the course, the contact number and email-id of the support team will be available in your LMS. Just a phone call or email will solve the purpose.
You can go through the sample class recording and it would give you a clear insight about how the classes are conducted, quality of instructors and interactive in a class.
At the end of your course, you will work on a real time Project. You will receive a Problem Statement along with a data-set to work.
Once you are successfully through the project (Reviewed by an expert), you will be awarded a certificate with a performance-based grading.
If your project is not approved in 1st attempt, you can take extra assistance for any of your doubts to understand the concepts better and reattempt the Project free of cost.