Data Science with R & Machine Learning

PROGRAM OVERVIEW

Machine learning is one of the key components of data science. This module focuses on R, a programming language that is widely used in data science related projects. This module has been designed to cater to ML & R to give you a targeted learning, especially when learning on other data science platforms is not required.

 

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CURRICULUM

Data Analytics with R & Machine Learning

SQL

Basics of Database, Types of Databases, DDL, DML, Select, Insert, Update, Delete
Joins, nth highest
Assessments:- Assignment of SQL

R Programming 

 Vector, Matrix, Array, List, DataFrame, Factors
File Handling (upload, download), connecting with database
Functions (Custom/user defined)
Apply Family, Graphs with R
Assessments:- Assignment of R

Statistics 

Descriptive Analytics (mean, median, mode, AM, GM, HM, Quartile, Percentile, Decile, Box plot, range, MD, SD, Variance)
Covariance, Correlation, skewness, kurtosis
Hypothesis Testing (p value)( T-test, Z-test, F-test)
Regression Analysis( simple, mutiple, linear, non linear)
Assessments:- Assessment of Statistics

ML 

Classification( training, test, ROC, confusion matrix),KNN, Decision Tree
Probability, Bayes Theorem, Naive Bayes classifier
ANN, CNN, RNN
Clustering(K-Means), Association Mining
Time Series Analysis( differencing, MA, AR, ARMA, ARIMA, exponential smoothing)
Assessments:- Assessment of ML

Excel  

VBA, Graphs

Excel 

Formulas in Excel
Assessments:- Excel Assignment

Documents  

Word, Microsoft powerpoint, Microsoft Vision
Assessments:- Assessment of Word Doccuments

Assignment

8 Assignment;One Each Topics

Test Series  

1 Full Test

PROJECT & TRAINING

Our live-projects offering prepares you for a range of analytics offerings in data science domain. For this course we would work on these projects:

  1. Time Series Analysis: Forecasting the stock price data using different time series algorithms like ARIMA, HW, EWMA etc in R
  2. CNN on Image Data: Applying deep learning in image processing, classification and identifying features in R
  3. Data Cleaning and Manipulation in R and preparing different visualization on Retail data

SAMPLE CERTIFICATE

 

USP OF PROGRAM

Curriculum created by the industry experts in collaboration with NASSCOM keeping in mind the industry needs
State-of-the-art infrastructure and fully equipped labs
NASSCOM SSC official study material
Training delivered by Certified and experienced trainers and industry experts
Placement Assistance.
Interview Preparation.
Certificate exam conducted by Emerging India.

FAQ

What is this program about ?

This program specifically covers machine learning throught R and its related libraries.

What is course duration ?

The course duration is approximately 178 hours

What all topics and tools will be covered in this program ?

You will touch upon various R libraries that would help you handle machine learning problems in real world scenario

Why we need to learn R with ML ?

R has some really good libraries that can cater to all your mahcine learning related requirements.