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Data Science Courses in Chennai

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Data Science Courses in Chennai

as on Nov 16, 2018
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  1. Soft Logic Systems Pvt. Ltd. 14
    Soft Logic Systems Pvt. Ltd. KK Nagar, Chennai - 600078
    7 Reviews 7.0

    Data Science Courses, SAS training

    +91 44 46281983
    NO. 10, P.T. Rajan Salai,, KK Nagar, Chennai - 600078
  2. Simply Analytics Pvt. Ltd. Medavakkam, Chennai - 600100
    1 Review

    Data Science Courses, Informatica training

    +91 44 49850222
    No. 11/198, Sathish Towers, Medavakkam, Chennai - 600100 Get Directions
  3. Data Science Analytics 10
    Data Science Analytics Ashok Nagar, Chennai - 600083
    25 Reviews

    Data Science Courses, SAS training

    +91 44 49912701
    Oyster Apartment ,Old No. 30, New No. 56, 2nd Floor, 19th Street, Ashok Nagar, Chennai - 600083
  4. Hits Computer Education 3
    Hits Computer Education Guindy, Chennai - 600032
    83 Reviews 5.6

    Data Science Courses, SAS training

    +91 44 49850253
    41/69,M K N Road, Guindy, Chennai - 600032 Get Directions
  5. Inceptez Technologies 5
    Inceptez Technologies Velachery, Chennai - 600042
    191 Reviews 6.9

    Data Science Courses, Big data & Hadoop training

    +91 44 46292235
    prabhu reviewed for Data science training 10th Feb, 2018

    One of the best institute for Data Science.I learned lot.Thanks Inceptez..

    thiyagarajan reviewed for Data science training 4th Feb, 2018

    Provide lot of real time use cases.Overall very good real time experience

    No. 27A, Brahmin street, Dhandeswaram nagar, Velachery, Chennai - 600042 Get Directions
  6. Amitysoft Technologies Pvt. Ltd. 6
    Amitysoft Technologies Pvt. Ltd. T. Nagar, Chennai - 600017
    17 Reviews 5.8

    Data Science Courses, Big data & Hadoop training

    +91 44 49851092
    New 6/22, 2nd Floor, Dhandapani Street, T. Nagar, Chennai - 600017 Get Directions
  7. SSI Computer Education 50
    SSI Computer Education Anna Nagar, Chennai - 600040
    171 Reviews 9.6

    Data Science Courses, SAS training

    +91 44 49851163
    No. AA-150, 2nd Floor, 3rd Avenue, Anna Nagar, Chennai - 600040
  8. JPM Edu Solution 9
    JPM Edu Solution Sholinganallur, Chennai - 600119
    8 Reviews 7.8

    Data Science Courses, Big data & Hadoop training

    +91 44 46292216
    Sidhi Vinayaka Complex ,G-18, First Floor, Kalaingar Karunanidhi Road,, Sholinganallur, Chennai - 600119 Get Directions
  9. Placement Point Solutions Velachery, Chennai - 600042
    4.0

    Data Science Courses, SAS training

    +91 44 46293399
    13 A/209, Kaashyap Encave, 1st Floor, Velachery Main Road, Near Dhandeeswaram Bus Stop, Velachery, Chennai - 600042
  10. Livewire 8
    Livewire Padi, Chennai - 600050
    57 Reviews 8.3

    Data Science Courses, SAS training

    +91 44 49851585
    No 127, 2nd Floor, Yadaval Street, Padi, Chennai - 600050

8 Reviews of Data Science Courses in Chennai

as on Nov 16, 2018 Average Rating (5) - 11 reviews
25th Oct, 2018

Highly recommended the course who aspires to learn data science and wants to start his career. The way the trainers explains such complex topics simply with real life examples is highly commendable. You will learn a lot about statistics and industry related projects in the course which is the best part I felt.

0
24th Oct, 2018

Highly recommended for those who aspire to learn Data Science. I would really appreciate trainers teaching methodology and command over each topic. The way real time examples were given in class. That helps a lot in understanding the things better. Study material were quite simple yet knowledgeable. Assignments for practice help to grasp more understanding. Big thanks to trainers for incredible learning experience.

0
24th Oct, 2018

Highly recommend this to anyone who is interested in starting career in Data Science. Knowledge and the way of delivery of the trainer is commendable. Best thing about trainer is, the way he breaks up the complex topics and help us understand every bit and also the examples he use make anyone understand comfortably. I could feel the trainer has passion for teaching. The topics thought in the class range from basics of statistics and match to complex machine learning techniques. Most of the techniques that are used across all industries are thought. I woukd personally like to thank the trainer for all guidence and assistance.

0
4th Sep, 2018

A great place to learn new things. The training for data science is excellent.

0
4th Sep, 2018

I was attend the data science training a week ago.A good carrier Startup company and pretty good working environment.

0
26th Apr, 2018

Had great time learning new stuff and way more knowledge than before.

0
12th Apr, 2018

I am an amateur with R. And in less than two weeks the training team has made me proficient with R. The training starts from the scratch and also includes many statistical theories and tests which i did not expect. I never had a doubt on this firm before training since it is a data driven company, and now i am very much happy that i was part of their training sessions.

0
12th Mar, 2018

Undergoing training in Besant technologies institute. I suggest to get trained from Besant technologies for bright future. Thank you my trainer to giving me full support towards my carrier .Trainer and management is fully supportive in providing quality education and not money-minded people....Nice place to hang on....

0
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Recent Enquiries on Data Science Training in Chennai

  • Technology: Data Science with Python
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4 days ago
  • Technology: Data Science with R
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21 days ago
  • Technology: Data Science with Python
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27 days ago
  • Technology: Data Science with Python
  • Mode of training: Classroom
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27 days ago

Recent Bookings in Data Science & Business Analytics Training

  • Technology: Data Science with Python
  • Mode of training: Classroom
  • Training for: Organisation
  • Timing preferences: No Preference
4 days ago
  • Technology: Artificial Intelligence (AI)
  • Mode of training: Classroom
  • Training for: Individual
  • Timing preferences: Weekends
54 days ago
  • Technology: Data Science with R
  • Mode of training: Classroom
  • Training for: Individual
  • Timing preferences: Weekdays (Morning)
111 days ago
  • Data Science Training in Chennai – Common FAQs

    Data science has gotten increasingly popular in the recent times and will help candidates in finding lucrative opportunities. This training helps prepare candidates in various aspects of business intelligence and analysis. Some of the areas of focus are data exploration in R, creating decision trees, data mining, types of big data technologies, tableau etc.

    • What are the learning objectives of this course?

      The learning objectives of this course are as follows:

      • Understanding all major concepts associated to business intelligence and analysis
      • Learning to work with descriptive statistics and data analysis
      • Understanding all the fundamentals and advanced techniques used in R programming and Tableau
      • Learning about data exploration in R
      • Understanding how to create decision trees
      • Learning about data collection and data mining in detail
      • Understanding about the importance of big data technologies
      • Getting an idea about the different types of loop functions and debugging tools
    • What are the pre-requisites for this course?

      There are no specific pre-requisites for candidates who want to take up data science. However, a basic knowledge in programming and interest towards statistics & probability will be an added advantage.

    • Who is this course best suited for?

      The course is best suited for candidates who want to establish a career in the business analytics field. Professionals such as data analysts, business analysts, software developers and administrators should consider completing this course.

    • What is the duration of this course?

      The course duration is as follows:

      • Regular Classes: 8 Weeks (80 hours)
      • Weekend Classes: 12 weekends
      • Fast Track Classes: 14 days

    Course Contents

    Introduction to Data Science

    • Defining data science
    • Data science vs Bi and reporting
    • Role of a data scientist
    • Data scientist tasks

    Data Types

    • Variable types
    • Continuous variables
    • Ordinal variables
    • Time series
    • Miscellaneous

    Sampling

    • What is sampling
    • Types of sampling
    • Simple random sampling
    • Systematic and stratified sampling

    Data distribution

    • Normal distribution
    • Binomial distribution
    • Inferential statistics

    Hypothesis testing

    • Type I and II error
    • Null hypothesis
    • Alternate hypothesis
    • Reject criterion
    • Acceptance criterion

    R Programming

    • Introduction to R programming
    • What is R
    • R vs OOP and SQL
    • Object types in R
    • Creating new variables
    • Updating existing variables
    • IF statements
    • Conditional loops
    • String manipulations
    • Sub setting data (matrices and data frames)
    • Casting data
    • Melting data
    • Dataset merging

    Data analysis and visualization

    • Data transfer into R
    • Cleaning and preparing data
    • Handling missing values
    • R visualization with ggplot2
    • Plot dimensions
    • Tableau and visualization
    • Correlation
    • Spurious correlation
    • Correlation vs causation

    Predictive analytics

    • Types of predictive analytics
    • Simple linear regression
    • Model development
    • Interpretation
    • Least squares sum
    • Validation of models
    • Multiple linear regression

    Classification

    • Logistic regression
    • Advantages of logistic regression
    • Likelihood estimation
    • Model development
    • Interpretation
    • Confusion matrix
    • ROC curve
    • Sensitivity measurement
    • Logistic regression model advantages

    Decision Trees

    • CART (Classification and regression trees)
    • Re-sampling
    • Ensembles methods
    • Random Forests
    • Support vector machines
    • Neural networks
    • Probabilistic methods
    • Un supervised learning
    • Cluster analysis - Hierarchical and K-means clustering
    • Component analysis
    • Time series analysis
    • ARIMA
    • Association rules
    • Filtering

    Text Analytics

    • NLP (Natural language processing)
    • WordCloud
    • Term document matrix
    • Sentiment analysis
    • Text classification models

    Model Validation

    • Error measurement
    • RMSE
    • Area under the curve
    • Cross validation
    • LOOCV
    • K-fold cross validation
    • Real time scoring

    Big data, Python and SAS introduction

    • Big data in analytics
    • Spark and machine learning

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