Digital Nest is the pioneer and leading institute in Hyderabad, India for rendering the R Programming Course in Hyderabad. This provides an opportunity for the trainees to become experts in R Programming and work on R Programming, R for data analytics, R for Machine Learning.

We have the professional back-end team for the real-time assistance to support and respond to the trainees’ queries at any point of time. We are positioned in Madhapur, Hitech City and operate in three learning centres viz. Ameerpet, Panjagutta and Madhapur in Hyderabad, India.

What is R Programming Course all about?

R is a prominent language of choice to analyze and segregate data. For Data Visualization, Machine Learning and Data Analysis, R Programming Language is used extensively. This Data Science Course with R really helps in organizing data quickly.

This R programming course content curriculum is composed of Real-Time Data Science Industry Expertise to ensure trainees both theoretical and practical knowledge. We provide a comprehensive and credible way of R Programming Course in Hyderabad with Hands-on Training Experience to students for grasping In-Depth subject knowledge by working on Real time Data Science Projects with R.

R Programming is a certification course that helps the trainees with the clear understanding of its exclusive use of python in Data Science. This Data science course with python consists of basic concepts of R Programming Language for Beginners, deep understanding of R Programming for Data Science, R for Machine Learning and R for Artificial Intelligence.

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We render training in two forms:

R Programming Classroom Training in Madhapur, Ameerpet, Panjagutta, Hyderabad India.
R Programming Online Course

R Programming Course Content is composed and updated as per latest Data Science industry standards and the content of the course is stimulated by the changes in the subject.

Digital Nest, like any other institute that provide RPA Training and R Programming training in Hyderabad, India offers the spectacular course along with the Real-Time case studies that are emphasized by the expert trainers. Module based assignments are conducted to ensure consistent understanding amongst the trainees. R Programming Certification is imparted by the execution of R Programming Projects submitted by every student. Students are encouraged to practice on their technical plans and qualified guidance is assured by our certified Certified Data Science Professional.

Who are eligible candidates for this Data Science Course with R Programming?

Any student who wants to establish their career in Data Science can take this R Programming Course in Hyderabad.

The ideal candidates are

Software engineers and data analysts
Business intelligence professionals
SAS developers wanting to learn open source technology
Those who are seeking for a career in data science

What are the pre-requisites to take this R Programming Course?

There would not be particular prerequisites to learn R Programming. It would be beneficial if one has the basic knowledge in any of the programming languages.

Data Science Course Highlights

We go beyond Training !!

Course is curated by real time industry experts

Trainers with 15+ years of experience

100% assured placement Assistance

State of the art training center

Dedicated placement team

Case study Approach

Real time examples

Exercises and handouts after every session

Certificate after completion of the course

Lab facility

Trainer support after completion of the course

Data Science Course Structure

curriculum designed by subject matter experts in digital marketing!

1Introduction

What is Data Science?

What is Big Data?

What is Machine Learning?

What is Analytics?

What is Data analysis and Data Mining?

Analytics project life cycle

Real life applications, projects and career paths of Data Science and Big Data

2Statistics

Definition and computation of probability

Measurement of central tendencies and it’s applications

Spreads, Distributions(Normal, Z-distribution, Binomial, Poisson) and various types of probability distributions(Continuous and discrete)

Sampling and Sampling distributions

Measures of shape( Skewness and Kurtosis)

Measures of relationship between variables(Correlation, causation)

Hypothesis Testing(t-test, Chi-square, Anova)

Measures of Dispersion( Variance, Std. deviation, Range)

Prediction and Confidence interval-Computation and Analysis

Missing Value theorem

3Exploratory Data Analysis(EDA) and Data Visualization

What is EDA and why is it required?

Outlier treatment

Data distributions and transformations

Graphs, Bar charts, Histogram

Box-Whisker plot, Scatter plot

Variable selection, Bubble charts

Exam

4Data processing using MS Excel:

In built functions

Lookup tables

Rank determination

Conditional formatting

Data Validation

Pivot tables

Exam

5Data manipulation using SQL

Introduction to SQL and Data bases

SQL developer installation

Data types

Data types and Operators

Create and Drop data base

DDL,DML, DCL ,TCL, Sorting commands and other keywords

Advanced SQL-Wild cards, Constraints, Joins, Unions, NULL, Alias, Truncate, Views, Sub queries

Exam

6Introduction to R

Why R and importance of R in Analytics?

Installation of R and R-studio

Data types, Variables, Operators, Decision making

Loops, Lists, Vectors, Strings, Matrices, Arrays, Factors

Functions (Built in and User defined functions)(aggregate, subset, merge, lapply, sapply, as.xxxx , which,sort,order- mandatory)

Importing Data from texts , spreadsheets and webdata

Extracting Tweets from Twitter using API

Data frames

Packages, libraries and their installation

Data manipulation and re-shaping

Data Visualization using R

Exam

7Introduction to Python programming

What is Python?

Why is Python preferred for Data Science?

Installation of I python/Jupyter Notebook/ SPYDER

Keywords, Built-in functions, String Formatting

Lists, Loops, Tuples, Indexing

Slicing, Sequences, Dictionaries, Sets

Importing and exporting data from python into various formats

Functions

User defined functions, Parameters, Nested functions

Local and Global variables, Alternate Keys, Lambda functions, Sorting Lists and Dictionaries, Sorting Collections

Error and Exception handling

Errors in Python, Abnormal termination, Exception handling methods

Ignoring Errors, Assertions and effective usage of assertions

OOPS, Packages and Libraries in Python

Methods and Inheritance, Abstraction and Encapsulation

Classes, Walking Directory Trees, Initializes, Instance methods, Class methods, Data Static Methods, Expressions, Module Aliases

Math functions, Random Numbers, Package Installation Methods, Introduction to Numpy, Pandas and other libraries

Plotting in Python, Creating Data Frames, Data Manipulation, Slicing and Dicing

1Machine Learning

Supervised Learning

What is supervised learning

Algorithms in Supervised learning

Steps in Supervised learning

Regression & Classification

Regression vs classification

Computation of co-relation coefficient and Analysis

Performance and accuracy measurement of a Model

Naive Baye’s classifier, Model Training, Validation and Testing

Ordinary Least squares, Variable selection

R-Square coefficient and RMSE as a strength of model, Prediction and confidence interval determination and application

Proviso of Regression, Dummy variables, Types of Regression: Linear and Logistic( Simple and multiple)

Sum of least squares, ROC and AUC curves, Homoscedasticity and Heteroscedasticity, Multicollinearity and vif, Confusion matrix

Techniques to improve accuracy and performance of regression models

Assignment

Decision Trees and Random Forest Test

Introduction to Decision tree Algorithms and it’s applications

Classification and regression trees-CART models,ID3,C4.5, CHAID analysis

Building Decision Trees using R, Decision nodes and leaf nodes

Variable Selection, Parent and child nodes branching

Stopping Criterion, Tree pruning, Depth of a tree, Overfitting

Metrics for decision trees-Gini impurity, Information Gain, Variance Reduction

Regression using decision tree

Interpretation of a decision tree using If-else

Pros and cons of a decision tree

Introduction to Random forest test and it’s applications, Why Random forest test?

Tree bagging, Models and algorithms in Random Forest test

Training Data set, Tree grouping and decision making on majority voting

Boosting algorithms-Gradient Boosting, Adaptive boosting-Adaboost , Xgboost ( Advanced)

Accuracy estimation using cross validation

2KNN-algorithm

What is KNN and why do we use it?

KNN-algorithm and regression

Curse of dimensionality and brief introduction to dimension reduction

KNN-outlier treatment and anomaly detection

Cross Validation, Pros and cons of KNN

Support Vector Machines

Linear and Non-Linear SVM’s, SVM regression

Train time and Run time complexities, Kernel Methods

Unsupervised Learning

What is unsupervised learning?

Algorithms in unsupervised learning

Steps in unsupervised learning

Dimensionality Reduction

Introduction to dimensionality reduction and it’s necessity

Principal Component Analysis(PCA)

Singular Value Decomposition(SVD)

Kernel-PCA, Linear Discriminate Analysis, Feature extraction

Advantages and applications of Dimensionality reduction

3Clustering

Introduction to clustering

Real-life applications of clustering

Distance measurement methods

Hierarchical clustering

K-Means clustering and skew plot

Assignment

Text Mining

Introduction to Text Mining

Applications

Structured and unstructured data

Extracting unstructured text from files and websites

Data cleaning and reshaping

Terminologies in Text Mining

Text clustering and categorization

Word cloud, N-gram charts

Sentiment Analysis, Twitter Analytics

Natural Language processing

Assignment

4Forecasting

Introduction to forecasting

Applications

Data Manipulation and Cleaning

Time Series & Time Series forecasting

Components of Time Series-Trend, Seasonality, Randomness

Trend Analysis

Forecasting methods, Smoothing Methods

Modeling Random Components, Modeling for stationary time series

ETS Model, Auto regressive Model, Moving Average Model, ARIMA Model, ETS Model

Anomaly Detection, Transformations, Growth curve, ARCH & GARCH Models

Association rules

Importance of Association rules

Metrics of rules-Lift, Support, Confidence, Conviction

Apriority Model, Market Basket Analysis

Algorithm implementation and tuning, Applications

Assignment

5Neural Networks

Introduction to NN

Artificial Neural Networks

Back propagation

Boosting techniques

6Data Visualization Using Tableau

Introduction to Tableau

Installation of Trial Version of Tableau Public

Design Flow, Data Viewing

Connecting Tableau to various Data Files

Measures and Dimensions

Colors, Labeling and formatting, Exporting Work sheet

Basics of Tableau

A-B Ad-hoc Testing, Aliases

Reference Line, Anomaly detection

Sorts and Filters,Time Series

Chart plotting,Heat Maps

Data Joining, Data Blending

Advanced Concepts of Tableau

Trend Line Analysis

Dash Board Creation

Formatting in tableau

Forecasting using Exponential Smoothing

Granularity and Trimming, Seasonality, Animations

Assignment

Data Science Training Schedule

7AM to 9PM, 9 Batches, 2 Centers at your Flexible Timings with E-learning & Online options

Classroom Training
Online Training
E-Learning
Corporate Training
B School Training

Weekday	Weekend
7AM to 9am (IST) (Mon-Fri) 11AM to 1PM (IST) (Mon-Fri) 7PM to 9PM (IST) (Mon-Fri) IST:: Indian Standard Time Location:* Madhapur & Panjagutta	10AM to 2PM (IST) Saturday & Sunday

Weekend	Weekday
8am to 12pm (IST) 12pm to 3pm (IST) 3pm to 6pm (IST) 6pm to 9pm (IST) 10pm to 1pm (IST) Saturday & Sunday	7am to 9am (IST) (Mon-Fri) 5am to 7am(IST) (Mon-Fri) 2pm to 4pm(IST) 7pm to 9pm (IST) (Mon-Fri)
*IST = Indian Standard Time

How E-Learning Works?

We have recorded videos of the trainer. This videos were recorded while taking the class. We kept in mind that student should feel the classroom environment while training. We request you to take a trail session. If you are satisfied you can take up the course.

For trail session and more information you can contact digital nest sales team on +91-8088998664or write us at

We offer special Training for Companies we first understand the company, its services and we will diagnose the present marketing practices and then we prepare a customized curriculum that suits to the needs of that particular company.

For Corporate training you can Reach our Sales Team at +91-8088998664 or you can also write to us at

We conduct seminars, 1 day, 1 week Workshops on various data science Practices. We are also ready to offer free Guest Lecture On Data Science, where in we educate students on modules present in data science, its careers and scope.

For B School Training you can Reach our Sales Team at +91-8088998664 or you can also write to us at

Contact Sales Team

Data Science Course Training

Frequently Asked Questions (FAQs)

We go beyond Training !!

What Is Data Science

Any graduate or postgraduate who is passionate about making machines as humans using analytical and logical skills would be the right candidate for the Data Science course. B.tech/BE/BBA/MBA/MSc Comp/ Stats/Maths/BSC Comp/Maths/PGDM People who are working in software or decision making environment can also opt for this course, like testing engineers, Developers, product managers, sales and branding managers, strategy managers.

Who are the trainers?

The trainers of Data Science are industry leading experts. Who got 15+ years of experience working with multinational companies. The trainers are the backbone of Data Science training. The curriculum that is prepared is always kept in mind that any student who learn data science courses should be in a position to crack the interviews and also be innovative in solving the real time challenges that are faced by companies using data science technologies.

Do you provide materials and assignments?

Yes! We provide various handouts of data science course for each and every module that is taught in the class. And also we give practical assignments where students are monitored by the mentors during the training sessions.

How are you different from other institutes?

We always strive hard to make every Data Science trainee Happy. Happiness is a student comes, when you give first the best industry curriculum, second the best trainers, third the best hands on training, 4th the best start of art training facility where students can think beyond the box.

What packages does a Data Science student get?

As per the research that has been conducted by Digital Nest team in Hyderabad and various cities across India and also as per our previous students who got placed in data science department we would say that on an average freshers would get between 3.2 L.P.A to 6 L.P.A and experienced people can get up to 20 Lakhs per annum.

How is the demand for Data Science course?

There is a huge demand for Data Science, as we can see entire world is revolving around the data and automations. To cut down the cost and to give precise and accurate information to the customers and also to solve the challenges that are faced by any individual or company are solved by Data Science professionals. That’s where now every organization is looking forward to hire Data Science experts.

What are the timings of Data Science course?

As Our faculty are real time working professionals who are Data Science experts , keeping their timings in mind Digital Nest , at Hyderabad has decided to run the classes on weekends ie: sat and Sunday, keeping demand and supply we also run batches on weekdays.

Do you provide placements?

Yes! We provide Assured Placement Assistance. We have a dedicated Placement officer at Digital Nest, who job is to make sure that students are getting placements alerts and also we also call companies to our academy to hire our Data Science trainees.

Do you teach on Real time Projects?

Yes! We Do our faculty are experts who are working in MNC’s So they get their Projects showcased in the class and we also give handouts and exercises so that Digital Nest students who got trained in Data Science are capable of solving the interview questions and also who can contribute the innovative concepts of the Data Science industry.

What is the duration of the Course?

Typically the duration of Data Science training would last for 2 to 2 and half months. We have designed a curriculum which is very comprehensive in Hyderabad.

How many hours each class consists?

Weekend batches at Digital Nest in Hyderabad would last 4 hours with series of breaks in between and weekdays class would last for 2 hrs.

Where are you located?

Digital Nest has one of the top state of the art training centers in the prime locations in Hyderabad at Panjagutta which is 1 km away from Ameerpet and also one at Hitech City in Silicon Valley area of Hyderabad.

Data Science Course Reviews

(4.6/5 based on 288 reviews) | Read reviews

Akilesh Kumar

Big Data Analyst

Being a tech savvy person I always wanted to learn the Big data and excel myself in the Data Science career. Digital Nest served as a catalyst for my passion to learn and become a data, Scientists. They train you from the scratch with the necessary concepts. They also provide training on how to face interviews along with placement assistance

Shravya

CBIT

I am 2017 pass out of B.tech, I went to many courses but then i was not able to get a job then one of my friend suggested to join data science course as there are huge openings. Then I searched and found Digital Nest in Hyderabad. This is one of the institute for learning Data Science Course

Diana Ch

Data Analyst

The feeling I got after attending a Big Data demo can’t be expressed in words. I’m working as a normal Data Analyst and the support Digital Nest gave me with the impeccable training made me grow in my career and excel myself. I would recommend anyone Digital Nest who wants to learn the Big Data and Data Science courses.

Vidyutha

Data Analyst

Though I opted for an e-learning course, I never failed to ask doubts and participate in the assignments. The digital nest is a great platform even for the e-learners, self-learners and a slow learner like me. Digital Nest is the only platform for what I’m now, the training, experts and the surrounding with motivated people all around will make you feel you that what you paid is worth.

Manohar

Big Data Analyst

Digital Nest is a great place for learning the complete spectrum of Big Data and data Science courses, as I was being busy all the day their e-learning portal helped me in learning the courses without any hassles and their approach towards learning is spellbound. You will definitely gain practical knowledge and the awesome thing is they give provide the placement assistance also after the completion of course.

Sashanka

Testing Engineer

Wipro

I am a testing engineer. I came across an article in newspaper that data science and Data Science courses are in demand. Then I started searching in Google and I found Digital Nest. I was impressed by the demo session and I came to know various careers options. Then I thought to taking this course and I am really satisfied and I would recommend as its one of the Best Data science training institute in Hyderabad

Ishita

Software Analyst

Accenture

Digital Nest is one of the best institutes in Hyderabad. I kept searching many institutes and then i found Digital Nest , i approached and attended one demo session and then i realized that this is one of the best course that i should choose. That's where I began learning Data Science at hitech city branch of Hyderabad. I must say that I’m very much satisfied with the trainers and curriculum. Thank you so much to the team i recommend any one who wish to pursue their career as Data Science expert then now your destination could be Digital Nest.

Kshemendra

Student

IIT - Kharagpur

I am happy to join Digital Nest institute, I had opted for Data Science in hitech city branch. I hail from ameerpet, I searched many institutes in ameerpet at Hyderabad but then which really impressed me choosing Digital Nest was their trainers and curriculum. That's where I decided to travel from ameerpet to hitech city to learn this course. But today I would say I did a right choice in choosing the right institute..

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