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Best data science training in Bangalore

Speed up your career with the exclusive Data Scientist Program by Industry specialist training by an industry leader on the exclusive in-demand Data Science & Gain hands-on exposure to key technologies, Become an master in Data Scientist today.

  • Module 1: Introduction to R (Duration: 2Hrs)
  • Module 2: R Basics (Duration: 5Hrs)
  • Module 3: R Packages (Duration: 3Hrs)
  • Module 4: Machine Learning using R (Duration: 10Hrs)
  • Module 1: Introduction to Data Science (Duration: 1Hr)
  • Module 2: Introduction to Python (Duration: 1Hr)
  • Module 3: Python Basics (Duration: 5Hrs)
  • Module 4: Python Packages (Duration: 2Hrs)
  • Module 5: Importing data (Duration: 1Hr)
  • Module 6: Manipulating Data (Duration: 1Hr)
  • Module 7: Statistics Basics (Duration: 11Hrs)
  • Module 8: Error Metrics (Duration: 3Hrs)
  • Module 9: Supervised Learning (Duration: 6Hrs)
  • Module 10: Unsupervised Learning (Duration: 4Hrs)
  • Module 11: Other Machine Learning algorithms (Duration: 10Hrs)

Module 1: Introduction to R (Duration: 2Hrs)

  • What is R?
  • Why R?
  • Installing R
  • R environment
  • How to get help in R
  • R Studio Overview
  • Module 2: R Basics (Duration: 5Hrs)

Module 2: R Basics (Duration: 5Hrs)

  • Environment setup
  • Data Types
  • Variables
  • Vectors
  • Lists
  • Matrix, Array,Factors, Data Frames,
  • Loops, Packages, Functions, In-Built Data sets

Module 3: R Packages (Duration: 3Hrs)

  • DMwR
  • Dplyr/plyr
  • Caret
  • Lubridate
  • E1071
  • Cluster/fpc
  • table
  • Stats/utils, Ggplot/ggplot2, Glmnet

Module 4: Machine Learning using R (Duration: 10Hrs)

  • Linear Regression
  • Logistic Regression
  • K-Means
  • K-Means++
  • Hierarchical Clustering – Agglomerative
  • CART, c5.0
  • Random forest, Naïve Bayes

Module 1: Introduction to Data Science (Duration: 1Hr)

  • What is Data Science?
  • What is Machine Learning?
  • What is Deep Learning?
  • What is AI?
  • Data Analytics & it’s types

Module 2: Introduction to Python
(Duration: 1Hr)

  • What is Python?
  • Why Python?
  • Installing Python
  • Python IDEs
  • Jupyter Notebook Overview

Module 3: Python Basics (Duration: 5Hrs)

  • Python Basic Data types
  • Lists, Slicing, IF statements,
  • Loops, Dictionaries, Tuples
  • Functions, Array
  • Selection by position & Labels

Module 4: Python Packages (Duration: 2Hrs)

  • Pandas
  • Numpy
  • Sci-kit Learn
  • Mat-plot library

Module 5: Importing data (Duration: 1Hr)

  • Reading CSV files
  • Saving in Python data
  • Loading Python data objects
  • Writing data to csv file

Module 6: Manipulating Data (Duration: 1Hr)

  • Selecting rows/observations
  • Rounding Number
  • Selecting columns/fields, Merging data
  • Data aggregation, Data munging techniques

Module 7: Statistics Basics (Duration: 11Hrs)

  • Mean, Median, Mode, Skewness
  • Normal Distribution, Probability Basics
  • What does mean by probability?
  • Types of Probability, ODDS Ratio?
  • Standard Deviation
  • Data deviation & distribution
  • Variance, Bias variance Trade off
  • Underfitting, Overfitting, Distance metrics
  • Euclidean Distance, Manhattan Distance, Outlier analysis
  • What is an Outlier?, Inter Quartile Range
  • Box & whisker plot
  • Cook’s Distance, Missing Value treatments
  • What is a NA?, Central Imputation
  • KNN imputation, Dummification
  • Correlation, Pearson correlation
  • Positive & Negative correlation

Module 8: Error Metrics (Duration: 3Hrs)

  • Classification
  • Confusion Matrix
  • Precision
  • Recall
  • Specificity
  • F1 Score
  • Regression
  • MSE
  • RMSE
  • MAPE
  • Machine Learning

Module 9: Supervised Learning (Duration: 6Hrs)

  • Linear Regression, Linear Equation, Slope
  • Intercept, R square value, Logistic regression
  • ODDS ratio, Probability of success
  • Probability of failure, ROC curve
  • Bias Variance Tradeoff

Module 10: Unsupervised Learning (Duration: 4Hrs)

  • K-Means
  • K-Means ++
  • Hierarchical Clustering

Module 11: Other Machine Learning algorithms (Duration: 10Hrs)

  • K – Nearest Neighbour
  • Naïve Bayes Classifier
  • Decision Tree – CART
  • Decision Tree – C50
  • Random Forest

This training course is designed for clearing the following exam: Data Science Certification.

The entire course content is in line with the certification program and helps you clear it with ease and get the best jobs in top MNCs.

As part of this training, you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast-track your career effortlessly.

At the end of this training program, there will be a quiz that perfectly reflects the type of questions asked in the certification exam and helps you score better. Kaushal Hub Course Completion Certificate will be awarded upon the completion of the project work (after the expert review) and upon scoring at least 60% marks in the quiz.Kaushal Hub certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.

  • More than 10 Years of experience in Data Science Masters Program® Technologies
  • Has worked on multiple realtime Data Science Masters Program projects
  • Working in a top MNC company in Bangalore
  • Trained 2000+ Students so far
  • Strong Theoretical & Practical Knowledge
  • Certified Professionals
  • More than 2000+ students Trained
  • 92% percent Placement Record
  • 1000+ Interviews Organized

Regular Batch (Morning, Day time & Evening)

  • Seats Available : 8 (maximum)

Weekend Training Batch (Saturday, Sunday & Holidays)

  • Seats Available : 8 (maximum)

Fast Track Batch

  • Seats Available : 5 (maximum)

Karthick

Stalff Is Good

I didn't learn only the statistics but it exactly in the way it is used in industry

Anand

Best Course

Curriculum was designed so perfectly to match every student caliber, both beginners and experienced.

We guide them through various processes like resume making, mock interviews etc. Our association with several top IT companies ensure that our students are placed with some of the most renowned and established names in IT industry.

Resume Creation

We assist you in creating professional resumes, CV and bio-data online, in minutes. Simply fill in your details and generate beautiful PDF and HTML resumes!

Job Application

Resume offers a history of your work experience & an outline of your skills, the job application letter you send to an employer explains why you are qualified for the position.

Interview Readiness

Training on Usage good posture, be polite, and keep eye contact throughout the interview. Use good listening and communication skills.

Selection & Joining

Recruitment, selection process, joining formalities, sourcing, Technical. Job Description Responsible the lateral recruitment everything will be taken care




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