Best data science training in Bangalore

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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.