Data Science and Data Analytics using R Programming Language
R Programming has gradually become one of the most popular languages used by a huge number of Data Science Professionals all over the world. It is also very prominent on the checklist of the Gartner Magic Quadrant of Advanced Analytics. Trends and surveys depict that R is used by almost 70% of data miners and is growing at a growth rate faster than any other data science language. R Programming has an easy-to-use syntax and interface that makes it favourite of every programmer, data analyst, statistician, and marketers. Learn R programming and gain knowledge on how to Extract, Analyse, and Present Data. Further, Data science course with R programming and statistics will make your career strong in Statistical Computing, Data Analytics, Business Reporting & Intelligence.
Learn "R Programming" & get the many Jobs available in the market
As far as market is concerned, there are so many jobs for Data Science using R Programming. A huge number of companies use R programming as a tool for data analytics and data management. It has many advantages over its rival Python. However R beats Python inside out and dominate the world of Data Analytics only because you can use complex formulas with ease. Python is not extensively used also because Statisticians, Engineers & Scintists without Computer Programming Skills find it easy to use R.
Many sectors such as Banking, Real Estate, Media & Newspaper, Aerospace & Flight Aviation Industry, Social Networking sites, & Stock market Exchange rely on R programming. That is the reason why there is a huge scope of job opportunities in R-Programming. Average Salary in N.America for R Programming Professionals starts in the range of $110,000 to $125,000.
What will you learn in the R Programming Training Course?
In this data science course, you will learn to perform basic commands in the Programming Language, along with Statistical understanding of Data.
You will also learn about various kinds of Distributions(Linear, Multiple,etc) and how it is useful in Data Interpretation, Data Visualization, Data Analysis, and in Programming in general.
You will learn about how R in Data Science will help you in making effective business decisions.
Reasons Why Ad2brand gives the Best Data Science Training Using R Programming Language in Pune:
100% Hands-On Training sessions with practical examples
Live Projects with 6 POCs, 10 Mini Projects, 100+ Assignments & Exercises
IIM Trainer with 10+ Years of Data Science & heading a division in Banking company.
Placement Opportunities and Career Enhancement Programs
Who should opt (Eligibility) for the Data Analysis training with R Programming ?
Everyone having interest in Probablity, Statistics & Data Science
Professionals & team leaders working into Data Analytic field
Web Developers and Hadoop professionals who work with humongous data & want to move towards Analytics
Management Students pursuing Strategic Positions in organizations in Marketing, Business Decision & Strategic Planning
Graduate , Post Graduate and Engineer Students who are interested in aligning their careers in Data Science in IT/ITES Industry
CA, CFA's, CS
Prerequisites to learn Data Science Course with R
Basic understanding of Statistics & Probablity
Interest in Statistical Programming
No prior knowledge of any programming is mandatory however it might be of some help.
View Python Programming and some other data science training programs conducted by Ad2Brand...
R Programming Syllabus & Course Structure
Introduction to Data Analytics, Data Types and Data Models
Study of Business Applications
Business Analytics Types
Statistics Basics - central tendencies, distributions, f-test, central limit theorem, anova
Clustering and K-means
Market Basket Analysis
Classification and Decision Trees
Time series Analysis
MS Excel Introduction
Data formatting and security options
Excel cheat sheet of shortcuts
Excel formulaes and functions
Filters, validations, grouping and other data handling techniques
vlookup, pivot and other advanced functions
Data analysis, simulation, scenarios, locking, sharing and tracking
Charting and Dashboarding
History & Evolution of R
R - Features
R Environment Setup and installation in multiple OS
Local environment set up
Understanding R Basic Syntax and operations like constants, expressions, function calls, symbols, data structures, sub-setting and more
Defining R command prompt
What is R script file?
Analysing Operations and Programs
Defining Lists, Data frames, Matrixes and arrays
Understanding R variables
Data type of variable
Finding variable & Deleting variable
Explore numeric variables
Exploring relationship between variables
Learning of algorithms
Learning of curves, analysis of errors and trade-off between recall and precision
Concepts of cross-validation
Studying types of operators
Defining Arithmetic & Relational Operators
Logical & Assignment operators
What is R decision making?
Understanding R if statement
R if..else statement
Defining R switch statement
Loops - R repeat loop
Loops - R while loop
Loops - R for loop
Loop control statement
Statement - R break statement
Statement - R next statement
Functions in R
Defining Built-in Functions
Lazy Evaluation of Function
Loops and conditionals
Understanding switch and break function
Applying of functions
Understanding apply, sapply, lapply, tapply, mapply
User defined functions
Data Manipulation and Visualization using R
Rules of string construction
Understanding String manipulation
R vectors & Vector creation
Accessing vector elements
Understanding Vector manipulation
R list & Creation
Name list elements
Access list elements
Manipulate list elements
Convert list to vector
Name columns and rows
Access array elements
Manipulate array elements
Calculate across array elements
Studying R factors
Understanding Factors in data frame
Change the order of levels
Generate factor levels
How to extract data from data frame?
Expanding data frame
R packages & R data reshaping
Joining columns & Rows in data frame
Merging data frames
Understanding Melting & casting
Melt & Cast the molten data
Solving Statistical data in R
Management of data with R
R data structures Saving and loading
Exploring data structure
Getting & Setting the working directory
Input as CSV file
Read a CSV file
Analyse CSV file
Writing into CSV file
Understanding R excel file
Installing xlsx package
Verify & Load xlsx file
Input as xlsx file
Reading the Excel File
Data import and Data Export
Write the binary file
Read the binary file
Understanding R – XML Files
Reading XML File
Understanding first node
XML to data frame
Studying R JSON file
Install RJSON Package
What is Input data
Read the JSON File
Convert JSON to Data Frame
Studying R Data bases
Understanding RMySQL Package
How to connect R to MySQL?
Querying the tables
Query with filter clause
How to update rows in the table?
How to insert data into tables?
How to create tables in MySQL?
Dropping Table in MySQL
Defining Pie-charts Title & Colour
Slice percentages & chart legend
Understanding 3D pie chart & R bar charts
Bar chart labels, title & colours
Group bar chart & stacked bar chart
R boxplots & creating the boxplots
Understanding Boxplots with notch
Range of X and Y values
Line chart title, colour & labels
Understanding Multiple lines in a line chart
Create the scatterplots
Studying Scatterplot matrices
Model of Measurement of Central Tendency
Defining numeric data with uniform and normal distributions
R mean, median, & mode
Applying trim option
Applying NA option
Measurement of spread in variance and standard deviation
Visualization of numeric variables in boxplots
Visualization of numeric variables in histograms
Visualization of Relationships between Scatterplots
Studying R Linear Regression
Steps to establish a regression
Understanding Im() Function
Defining Predict () Function
R multiple regression
Understanding Im() Function
Studying R logistic Regression
Create regression model
Studying R normal distribution
Understanding dnorm ()
Defining pnorm ()
What is qnorm ()
What is rnorm ()
R binomial distribution
What is dbinom ()
Understanding pbinom ()
What is qbinom ()
Defining rbinom ()
Studying R poisson regression
R analysis of covariance
Different time intervals
Multiple time series
R nonlinear least square
Studying R Decision Tree
What is R Random Forest?
Install r package
Defining R random forest
Install r package
R Survival Analysis
R chi square Test
ML Common Use Case
Understanding Supervised and Unsupervised Techniques
Studying Similarity Metrics
Types of Distance Measure: Euclidean
Studying Cosine Measures
Creation of predictive models
Classification using nearest neighbours
Statistical Model Building
Validation and Prediction
Use of statistical models for predictions
Data Science Course with R Programming Course Price: 25999* INR
Best R Programming Training Institute in Pune
Ad2Brand conducts quality training in data science courses and is the best R Programming Training Institute in Pune. Ad2Brand’s R Programming training program is a sure-shot way of making you an expert in using the Analytics tool for data analysis purpose. R Programming is an open source analytics tool used for Data Analysis at different stages in your professional life. It is beneficial for all, including students wanting to explore a career in Data Analytics, Managers for ease in business decision-making or any Professional who would like to draw valuable data insights and make their career towards cutting edge technologies. This data science course is also very useful for data miners and statisticians. R Programming skills are in demand and also fetching handsome salary packages.
Learn R Programming with Ad2Brand, we have a strong team of mentors and faculty extremely skilled in their areas of expertise offering online, classroom, corporate and customer training programs. Our highly-educated and industry-experienced training professionals make sure to impart you with best knowledge and hands-on practical training so that you get an exposure of the real world. We have well-equipped training rooms having all the facilities to deliver top class training. Ad2Brand's R Programming Course covers all basic & advanced concepts of R Programming like: R basics, reading and analyzing data, data visualization, data mining, clustering, classification and more.
Data Science course with R at Ad2Brand has been designed in the best possible way to cover all R-concepts and give you an insight into every detail of the language. Certified Data Analysts having good hands-on skills on Analytics Tools are in great demand in the industry and global market today to tackle huge amounts of data across multiple business verticals.
R Programming is a good tool for data analytics having a dynamic interface to absorb new developments, hence, learning this tool can be beneficial for you. We provide you with all services including pre-training material, interview questions preparation, customized learning plan and course completion certificate. Gain your statistical R programming language knowledge and skills by undergoing quality training program at our R Programming Training Institute in Pune and become the finest Business/Data Analyst. You can positively walk into our training institute located at Pimple Saudagar or contact us for a better understanding of courses, trainings, our outlook and to understand which one suits you the best. We offer varied variety of services for an organizations digital needs and are headed in the direction of our organizational vision and mission...
Data Science Training Program using R – FAQ’s
You can look or a role of a Data Scientist which is same as the role of a Business Analyst, Data science programmer or developer and Business intelligence related profiles . Generally a Data scientist is responsible or working with complex data extracted from Hadoop environments and needs to have good knowledge of business, data, SAS, SPSS and data analytics tools and languages like R Programming. Our data science course is also good for starters as well as advance knowledge covering all topics right from the basic level. A lot of job opportunities also depend upon your background and past experience, however, sincere efforts put into attaining all the knowledge base from the course learnings will surely promise a bright future.
Big data is growing massively and so is the need for it’s analysis which has created plenty of job opportunities for Data Scientists with good skills in important Data Analysis tools and techniques. R programming is about 70% percent widely used tool from among all the Data analytics tools and languages because it is an open source free software easily extendable with lots of packages. Due to these reasons R Programming is an important skill acquired in the Data Science field of study.
Harvard Business Review tags Data Science as 21st century’s sexiest job title. With the boom in internet based market and more and more usage of gadgets, data is produced in voluminous quantities. No business decision can be taken without analyzing this data and extracting important facts from it which is the work of a Data Scientist. You can take benefits of this technology boom cycle by undergoing the Data Science course and learning to handle and understand data using important tools and languages like R Programming. However, you should have an interest in mathematics and statistics and be ready to quickly adapt the crucial concepts of this growing sector.
After completing your course with Ad2Brand, you can expect to be equipped with all necessary basic foundational as well as advanced concepts of R Programming and Data Science, theories of the most widely used algorithms, data manipulations, statistics and logics and hands-on experience of a Data scientist’s work, fit to apply for a good job role with a good package.
The course will stretch over a period of 3 months.
You can attend a demo session to understand the subject, see the quality of training and interact with the trainer regarding queries to decide your career path. We at Ad2Brand ensure to give you the best training experience with top content and trainers, we also prepare you for interviews and resume preparation and equip you with the best skills in the subject of learning. However, getting the job will depend upon your presentation of skills at the time of interview.
We have reliable and knowledgeable trainers who are the best in the industry qualified with in depth skills, certifications and experience.
Ad2Brand’s R Programming course is comprehensive and detailed, covering industry-exposure and important hands-on projects. You will learn statistics, reporting , functions, data structures, variables, control flow , graphical representation and much more. Upon completion you will get R Certification and expert skillset in R Programming.
Doubt clearance and resolution of queries is given utmost importance at Ad2Brand. You can raise n number of queries until you get a clear answers for your questions. Our trainers make sure to give individual attention to all students and one-on-one sessions can be arranged with trainers during as well as after completion of the training to get help on the needed topic. Also we make sure to maintain a limited number of students per class to maintain the quality of training and knowledge imparted.