XoomTraining

Data Science

Introduces students to the fundamental principles of data science that underlie the algorithms, processes, methods, and data-analytic thinking.

263 STUDENTS ENROLLED

    About The Course

    This Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on ‘R’ capabilities.

    Who should go for this course ?

    The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

      • Developers aspiring to be a ‘Data Scientist’
      • Analytics Managers who are leading a team of analysts
      • SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
      • Business Analysts wanting to understand Machine Learning (ML) Techniques
      • Information Architects wanting to gain expertise in Predictive Analytics
      • ‘R’ professionals who want to captivate and analyze Big Data
      • Hadoop Professionals who want to learn R and ML techniques
      • Analysts wanting to understand Data Science methodologies
      • Statisticians looking to implement the statistics techniques on big data

    Pre-requisites

    There is no specific pre-requisite for the course but exposure to core Java and mathematical ability are helpful. XoomTrainings can offer you complementary self-paced courses covering essentials of Hadoop, R and Mahout to brush up the fundamentals required for the course.

    Why Learn Data Science?

    Data Science coaching certifies you with ‘in demand’ Big Data Technologies to assist you grab the top paying Data Science job title with Big Data skills and experience in R programming, Machine Learning and Hadoop framework.

    The following blogs will help you understand the significance of Data Science training:

    Blog 1

    Blog 2

    Blog 3

    Data Science Introduction and Toolbox :

      • Getting Started with Github
          • Introduction to Git
          • Introduction to Github
          • Creating a Github Repository
          • Basic Git Commands
          • Basic Markdown
      • Getting Started with R
          • Overview of R
          • R data types and Objects
          • Getting Data In and Out of R
          • Subsetting R Objects
          • Dates and Times
          • Control structures
          • Functions
          • Scoping rules of R
          • Coding Standards for R
          • Dates and times
          • Loop Functions
          • Vectorizing a Function
          • Debugging
          • Profiling R Code
          • Simulation

    Data Extraction, Preparation and Manipulation ( R, MYSQL, HDFS, HIVE and SQOOP)

      •  Data Extraction
          • Downloading Files
          • Reading Local Files
          • Reading Excel Files
          • Reading JSON
          • Reading XML
          • Reading From WEB
          • Reading From API
          • Reading From HDFS
          • Reading From MYSQL
          • SQOOP
          • Reading FROM HIVE
          • Saving and Transporting Object
          • Reading Complex Structure
      • Data Preparation
          • Subsetting and Sorting
          • Summarizing Data
          • Creating New Variable
          • Regular Expression
          • Working With Dates
      • Data Manipulation
          • Managing DataFrame with dplyr package
          • Reshaping Data
          • Merging Data
      • Descriptive Statistics
          • Univariate Data and Bivariate Data
          • Categorical and Numerical Data
          • Frequency Histogram and Bar Charts
          • Summarizing Statistical Data
          • Box Plot, Scatter Plot, Bar Plot, Pie Chart
      • Probability
          • Conditional Probability
          • Bayes Rule
          • Probability Distribution
          • Correlation vs Causation
          • Average
          • Variance
          • Outliers
      • Statistical Distribution
          • Binomial Distribution
          • Central Limit Theorem
          • Normal Distribution
          • 68-95-99.7 % Rule
          • Relationship Between Binomial and Normal Distribution
      • Hypothesis Testing
          • Hypothesis Testing
          • Case Studies

    Inferential Statistics

      • Testing of Hypothesis
      • Level of Significance
      • Comparison Between Sample Mean and Population Mean
      • z- Test
      • t- Test
      • ANOVA (f- Test)
          • ANCOVA
          • MANOVA
          • MANCOVA
      • Regression and Correlation
          • Regression
          • Correlation
      • CHI-SQUARE

    Principal Of Analytic Graph

      •   Introduction to ggvis
          • Exploratory and Explainatory
          • Design Principle
          • Load ggvis and start to explore
          • Plotting System in R
          • ggvis – graphics grammar
      • Lines and Syntax
          • Properties for Lines
          • Properties for Points
          • Display Model Fits
      • Transformations
          • ggvis and dplyr
      • HTMLWIDGET
          • Geo-Spatial Map
          • Time Series Chart
          • Network Node

    Predictive Models and Machine Learning Algorithm – Supervised Regression

      • Regression Analysis
          • Linear Regression
          • Non- Linear Regression
          • Polynomial Regression
          • Curvilinear Regression
      • Multiple Linear Regression
          • Collect Data
          • Explore and Prepare the data
          • Train a model on the data
          • Evaluate Model Performance
          • Improve Model Performance
      • Logistic Regression
          • Collect Data
          • Explore and Prepare the data
          • Train a model on the data
          • Evaluate Model Performance
          • Improve Model Performance
      • Time Series Forecast
          • Collect Data
          • Explore and Prepare the data
          • Train a model on the data
          • Evaluate Model Performance
          • Improve Model Performance

    Predictive Models and Machine Learning Algorithm – Supervised Classification

      • Naive Bayes
          • Collect Data
          • Explore and Prepare the data
          • Train a model on the data
          • Evaluate Model Performance
          • Improve Model Performance
      • Support Vector Machine
          • Collect Data
          • Explore and Prepare the data
          • Train a model on the data
          • Evaluate Model Performance
          • Improve Model Performance
      • Random Forest
          • Collect Data
          • Explore and Prepare the data
          • Train a model on the data
          • Evaluate Model Performance
          • Improve Model Performance
      • K- Nearest Neighbors
          • Collect Data
          • Explore and Prepare the data
          • Train a model on the data
          • Evaluate Model Performance
          • Improve Model Performance
      • Classification and Regression Tree (CART)
          • Collect Data
          • Explore and Prepare the data
          • Train a model on the data
          • Evaluate Model Performance
          • Improve Model Performance

    Predictive Models and Machine Learning Algorithm – Unsupervised

      • K Mean Cluster
          • Collect Data
          • Explore and Prepare the data
          • Train a model on the data
          • Evaluate Model Performance
          • Improve Model Performance
      • Apriori Algorithm
          • Collect Data
          • Explore and Prepare the data
          • Train a model on the data
          • Evaluate Model Performance
          • Improve Model Performance
      • Case Study : Customer Analytic – Customer Lifetime Value
          • Collect Data
          • Explore and Prepare the data
          • Train a model on the data
          • Evaluate Model Performance
          • Improve Model Performance

    Text Mining, Natural Language Processing and Social Network Analysis

      • Natural Language Processing
          • Collect Data
          • Explore and Prepare the data
          • Train a model on the data
          • Evaluate Model Performance
          • Improve Model Performance
      • Social Network Analysis
          • Collect Data
          • Explore and Prepare the data
          • Train a model on the data
          • Evaluate Model Performance
          • Improve Model Performance
      • Capstone Project
          • Saving R Script
          • Scheduling R Script

    We record every live session we hold. Video recordings of each and every session will be posted on our blog too. So, this means you can get access to what the session is about and this way you do not miss any class. But take a note of it that you can have access to these Video recordings for 6 months only from the date you start your training. Access to these videos or to other required course material will be provided using Google Drive Cloud for lifetime.

    Yes, you can cancel your enrolment. We provide a complete refund after deducting the administration fee. To know more, please go through our Refund Policy.

    We have a team of industry-expert instructors or trainers who possess 8-10 yrs. of relevant experience in various Business Technologies. Every instructor / trainer undergo our specialized training program called “Train the Trainer” at Xoomtrainings. Our trainers are trained so that our learners get a great learning experience.

    Yes, classes at Xoomtrainings are conducted through online video streaming where there is two-way communication between users and instructors. The users can speak by using a microphone, chat by sending a message through a chat window and share their screens with an instructor. For better understanding, users can take the sample recorded class on this page to know of the quality of instruction and the way the class is conducted.

    Yes, the instructor will allocate you a real-time project to have a clear understanding of how you are able to conceptualize and implement the real-world application of the course content.

    Yes, we run multiple offers from time-to-time. Please, contact the support team they will give the Coupon Code.

    Yes, we will give you a discount of Rs 1500/- on selected course if you refer someone. We also offer special discount for groups.

    Yes, we will provide you the links of the software to download (trial version) which are open source and for proprietary tools we will provide you trial version, if available.

    For your practical work, we will help you set up a Virtual Machine on your system with IDE’s. This will be local access for you. The detailed step-wise installation guides are present in your LMS which will help you install and set-up the environment for any course. In case, you come across any doubt, the 24/7 support team will promptly assist you through mail (support@xoomtrainings.in) or Phone (+91 -40-4018 3355)

    4 Mbps of internet speed is recommended to attend LIVE classes. However, we have seen people attending the classes with a much slower internet connection too.

    Yes. You will receive a Digital E-Certificate from us once you complete the course. You can include this is in your Resume to get placed better.

    Xoomtrainings is the largest online education company and a large number of recruitment firms contacts us for our student’s 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 placement. 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.

    No doubt, your transaction is always safe and secure with Xoomtrainings.

    You will get 24/7 access to the blog to post your questions. Trainers will answer your questions through email within 24 hrs. of time. Also, our support team will help you 24/7 through mail (support@xoomtrainings.in) or Phone (+91-40-4018 3355 ,7093502091,92 ).

    You can give us a CALL at INDIA: +91-40-4018 3355 ,7093502091,92  Or Email at contact@xoomtrainings.in

     

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    ENROLL NOW
    • Rs.24,500.00
    • 60 Hours

    Course Features

    Lifetime access to the learning management system including Class recordings, presentations, sample code and projects

    Lifetime access to the support team (available 24/7) in resolving queries during and after the course completion

    Xoomtrainings certified based on your project performance, reviewed by our expert panel

    Xoomtrianings enjoys strong relationship with multiple staffing companies in US, UK and India. If you are looking out for exploring Placement opportunities, you can pass your resumes once you complete the course and we will help you with job assistance. We don’t charge any extra fees for passing the resume to our partners and clients

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