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    Data Science

      Home » Courses » Project Based Best Data Science Training in Noida & Data Science Hadoop Course in Noida

    Project Based Best Data Science Training in Noida & Data Science Hadoop Course in Noida

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    python and ml training courses
    Data Science, Technology
    (1 review)
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    Data Science Training in Noida

    Project Based Best Data Science Training in Noida & Data Science Hadoop Course in Noida


    4.9 Star Rating: Very Good  5.0 out of 5  based on 1065 ratings.213 user reviews.
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    We are the best Data science training institute in Noida provides the best training to the students and has been marked for excellence since a long time. It is an ISO 9001:2015 certified training institute which provides the best data science training classes in Noida. Data science in simple terms is nothing but data mining as it extracts all the data either be structured or unstructured using scientific methods, process, algorithms and systems to extract knowledge. Our team of professional trainers have designed the course of advance data science training in a manner that benefits the students well. Few of our qualities that rank us on top are :

    • Reputed and expert trainers
    • Job oriented certification programs
    • Industry oriented practical training
    • Well developed infrastructure
    • Excellent placements
    • Residential accommodations

    Let us now discuss in depth about the key features been above highlighted which proves Us to be the best data science institute in Noida:

    Benefits of Choosing Us

    1. Our trainers are experienced professionals and currently working with top MNC’s who keeps live projects that help students to learn in a better manner.
    2. we  provide job oriented certification program which assures opportunities for its students by providing them with globally recognized certification.
    3. Our team ensures that the students work on live projects so that they learn things fast and improve their skills well.
    4. We have a placement cell team which works day and night for bringing new opportunities for students so that each student gets placed without any failure.
    5. We provide the best infrastructure amenities such as smart labs and computers so that any of our student never faces trouble.
    6. We also provide accommodation facility for the students who visit our center for data science training from any other connecting state.

    Data science course content preview

    • To learn about business intelligence and analysis
    • To understand in description the statistics of data analysis
    • To understand data collection and data mining
    • To learn running non-parametrics test

    We have created an environment for the students that will facilitate them for studying. Our team has designed the course of data science in a manner keeping in mind the needs of working professionals and students. If any of the working professionals wants to enhance their skills can join a corporate training course in data science whereas for engineering students who are want to learn something more helpful other then there course can join a industry training course in data science.

    We also have the facility of weekdays data science classes which are also designed for professionals who want to develop their skills without disturbing there working schedule.

    Our weekdays batches for data science are always ready at any time of the year so that students can enroll depending upon their preferences. As we provide time slots according to the student’s flexibility. We are the best training center in Noida as we provide project oriented training classes to the students.

    Why enroll a data science training course From Us?

    • Students can pay online with multiple payment options such as Patym, Google pay, monthly installments and many more…
    • Free of cost personality development sessions which boosts their morale.
    • Online study material is provided free of cost which helps the students in clearing their doubts.
    • Students doing a data science training course from our institute can access multiple number of hours in our smart labs.
    • Membership card is provided to each of the students who visit to learn data science training course in Noida.
    • We provide the best placement opportunities for data science students as our placement cell’s team is connected with the different companies placement cell.
    • Up till now Our company has placed more than thousands of students in companies such as Aricent, Accenture, Indiamart Internmesh and many such top companies. This is the only reason for we being the best placement provider training company.
    • We provide the latest tools which are useful for the students in a effective and efficient learning.
    • Resumes are well updated according to the present industry needs so that the student never faces rejections.
    • We known the needs of the students this is why keeping in mind all the requirements we have made the online classroom sessions of data science which are more valuable.
    • Limited number of students are kept in each batch so that all the students can be noticed well.

    We Serve the Best Data Science Course at Multiple Locations

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    Course Features

    • Lectures 36
    • Quizzes 0
    • Duration 60 hours
    • Skill level All levels
    • Language English
    • Students 90
    • Assessments Yes
    CoursesTechnologyData ScienceProject Based Best Data Science Training in Noida & Data Science Hadoop Course in Noida
    • Introduction to Data Science 0/5

      • Lecture1.1
        Introduction to Big Data
      • Lecture1.2
        Roles played by a Data Scientist
      • Lecture1.3
        Analyzing Big Data using Hadoop and R
      • Lecture1.4
        Methodologies used for analysis
      • Lecture1.5
        The Architecture and Methodologies used to solve the Big Data problems
    • Basic Data Manipulation using R 0/4

      • Lecture2.1
        Understanding vectors in R
      • Lecture2.2
        Reading Data, Combining Data
      • Lecture2.3
        Subsetting data
      • Lecture2.4
        Sorting data and some basic data generation functions
    • Machine Learning Techniques Using R Part - 1 0/6

      • Lecture3.1
        Machine Learning Overview
      • Lecture3.2
        ML Common Use Cases
      • Lecture3.3
        Understanding Supervised and Unsupervised Learning
      • Lecture3.4
        Techniques, Clustering
      • Lecture3.5
        Similarity Metrics
      • Lecture3.6
        Distance Measure Types: Euclidean, Cosine Meas ures, Creating predictive models
    • Machine Learning Techniques Using R Part - 2 0/3

      • Lecture4.1
        Understanding K – Means Clustering
      • Lecture4.2
        Understanding TF – IDF and Cosine Similarity and their application to Vector Space Model
      • Lecture4.3
        Implementing Association rule mining in R
    • Machine Learning Techniques Using R Part - 3 0/8

      • Lecture5.1
        Understanding Process flow of Supervised Learning Techniques
      • Lecture5.2
        Decision Tree Classifier
      • Lecture5.3
        How to build Decision trees
      • Lecture5.4
        Random Forest Classifier
      • Lecture5.5
        What is Random Forests
      • Lecture5.6
        Features of Random Fore st
      • Lecture5.7
        Out of Box Error Estimate and Variable Importance
      • Lecture5.8
        Naive Bayes Classifier
    • Introduction to Hadoop Architectur 0/4

      • Lecture6.1
        Hadoop Architecture
      • Lecture6.2
        Common Hadoop commands
      • Lecture6.3
        MapReduce and Data loading techniques (Directly in R and in Hadoop using SQOO P, FLUME, and other Data Loading Techniques)
      • Lecture6.4
        Removing anomalies from the data
    • Integrating R with Hadoop 0/0

      No items in this section
    • Integrating R with Hadoop 0/3

      • Lecture8.1
        Integrating R with Hadoop using RHadoop and RMR package
      • Lecture8.2
        Exploring RHIPE (R Hadoop Integrated Programming Environment)
      • Lecture8.3
        Writing MapRe duce Jobs in R and executing them on Hadoop
    • Mahout Introduction and Algorithm Implementation 0/1

      • Lecture9.1
        Implementing Machine Learning Algorithms on larger Data Sets with Apache Mahout
    • Additional Mahout Algorithms and Parallel Processing using R 0/2

      • Lecture10.1
        Implementation of different Mahout algorithms
      • Lecture10.2
        Random Forest Classifier with parallel processing Library in R

    Your Information

    Call us today or fill out the form below and a representative will be in touch shortly.

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