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Data Science with R Programming Training in Hyderabad

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Get Train From Qualified Professionals in Data Science with R Course Certification

  • We Direct candidates to Achieve Your Dream job with help of tech career and with Convenient Programming Skills, and Practical Learning.
  • Our Qualified tutors will Guide the Learners to understand each Part of the DataScience- with-R-Programming, from Beginning to Latest.
  • Our experts will guide you on Interview preparation, mock interviews, Real-world Projects, and career Instructions to Frame More Job Opportunities on top MNC.
  • We Provide Complete Data Science-with-R-Programming training with highly professional real-time trainers.
  • DataScience- with-R-Programming, Certification will give you In-Depth Knowledge of Data exploration, Data visualization, Predictive analytics, Descriptive analytics, and techniques with the R languages.
  • We Provide industry-recognized Certification after completion of the Course.
  • Get you to learn about R packages, and how to import and export data in R, data structures in R, various statistical concepts, cluster analysis, and forecasting.
  • We Develop the Skills for real Career growth and a well-organized and structured course to work on Real-world Problems.
  • Get to Learn Trending updates and how to analyze Data, Advance techniques in R Languages, and R Packages from Experts.
  • Experience with Hands-on-Live Projects, and developing skills for a real career in working with real-world problems.
  • Concepts: Data Science Methodologies, Correlation / AssociationRegressionCategorical variables, Data Preparation, Logistic Regression, Cluster AnalysisClassification Models, Forecasting Techniques, Time Series Modeling, Stock market prediction, Pharmaceuticals, Market Research, Machine Learning, Fraud Analytics, Text Analytics, Social Media Analytics.
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
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Course Objectives

Data Science is a popular job field among professionals since it has a high earning potential. It largely consists of statistics, and R is the domain's bridge language, frequently used for data analysis. You may enter the world of corporate analytics and data visualization by studying R programming. For everyone interested in becoming a Data Scientist, this is a must-have talent.

The following is a list of Data Science/Data Scientist positions:

  • Data analyst
  • Data scientist
  • Machine Learning Expert
  • Data Engineer
  • Data Architect
  • Business Intelligence Analyst
Data Science experts in Gachibowli may make an average of 3 lakhs per year, according to Payscale. A qualified data science specialist with expertise, on the other hand, may make up to 15 lakhs a year.
  • Developers interested in pursuing a career as a "Data Scientist".
  • Those in charge of a team of analysts are known as analytics managers.
  • Machine Learning (ML) Techniques are of interest to business analysts.
  • Information Architects are interested in learning Predictive Analytics 'R' professionals interested in working with Big Data Analysts
  • interested in learning Data Science techniques.
Python is the most prevalent coding language required in data science professions, however other programming languages such as Perl, C/C++, SQL, and Java are also necessary. Data scientists can use these programming languages to arrange unstructured data collections.
Data Science Training provides you with certification in 'in-demand Big Data Technologies. The increased need for Big Data skills and technologies necessitates Data Science training. It provides data management technologies such as Hadoop, R, Flume, Sqoop, Machine Learning, Mahout, and others to professionals.

Our skilled instructors will teach you how to do the following throughout this Data Science course:

  • Learn about the 'Roles' that a Data Scientist plays.
  • R may be used to analyze a variety of data formats.
  • Describe the Data Science Life Cycle in your own words.
  • Work with a variety of data types, including XML, CSV, and others.
  • Learn about data transformation tools and methodologies.
  • Discuss data mining techniques and how to put them into practice.
  • In R, use Machine Learning techniques to analyze data.

What tools are utilized in this Data Science with R programming course?

  • SAS.
  • Apache Spark.
  • BigML.
  • D3.
  • Excel.
  • Ggplot2.
  • Tableau.

What are the job responsibilities of a Data Scientist?

  • Identify useful data sources and automate data collecting.
  • Conduct structured and unstructured data preparation.
  • Discover trends and patterns by analyzing vast volumes of data.
  • Create machine-learning algorithms and prediction models.
  • Ensemble modeling is a technique for combining models.

What are the goals of our Data Science with R Programming Course?

Industry professionals have created Data Science Certification Training to help you become a Certified Data Scientist:

  • A thorough understanding of the Data Science Life Cycle and Machine Learning Algorithms is required.
  • Comprehensive understanding of different data transformation tools and methodologies
  • The capacity to do Text Mining and Sentiment Analysis on text data, as well as develop knowledge of Data Visualization and Optimization methodologies.
  • The opportunity to work on a variety of real-world corporate projects using RStudio.
  • Projects spanning media, healthcare, social media, aviation, and human resources.
  • Dedicated participation of a subject matter expert (SME) throughout the Data Science Training to understand industry standards and best practices

What are the Data Science with r program Course prerequisites?

You might be a student or a recent graduate with an interest in data science and a desire to gain hands-on experience in the subject. Alternatively, you may be a working professional who is already established in one business but wants to pursue a data science degree due to a passion for data or the growing interest and need for the field.

Why should I take up this Data Science with R Program certification course?

R programming is a statistical language for Data Science specialty that is gaining in popularity due to its extensibility. It may be used for a variety of applications and is readily scalable. Taking this Data Science with R certification course to understand R tools can help you land high-paying positions at huge corporations.
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Overview of Data Science With R Course in Hyderabad

This course makes R programming understandable and the daily problem of data science usage of R programming. We begin our trip with a grasp of the R programming paradigm, and then go to solve the data science challenge. This course focuses on theory and laboratory equally. In the conclusion, you will, of course, get a good comprehension of these issues and have a good working experience. Get the R skills you need as a data scientist to succeed. No previous experience in coding is needed. This path teaches you how this adaptable language can import, clean, and alter data all integrated capabilities for any professional or researcher aspiring to the data. You get a hands-on some of the most popular R packages, including ggplot2 and tidy verse packs such as dplyr and readr, via interactive tasks. You will next engage with real-world data sets to understand the statistical and machine-learning approaches that you have to develop and analyze your functions. Start this path, develop your R abilities and start your journey into a trustworthy data scientist.You can obtain a career or move forward on your present one by knowing Data Science With R Training in Hyderabad.


Additional Info

Why We Choose R for Data Science?

Once you have a position as an embedded system engineer, you can work completely till you retire like a CPA, a doctor, or a lawyer. The essential is that the latest technology remains up to date and knowledgeable. However, it is also true that many transitions to management or marketing jobs inside firms are intended for bigger financial gains. Here is a review of some of the job routes that an embedded system engineer can access:

  • Data science has been established in the most popular field. This is because the analysis and building of insights from the data is a matter of urgency. Industries turn raw data into data products supplied.
  • To achieve this, several critical technologies are needed to churn the raw data. R is one of the computer languages that allow you to analyze, analyze, manipulate and visualize information in an intense environment.
  • For many statisticians who desire to contribute to developing statistical models to resolve difficult issues, this is the main choice.
  • R includes a wide range of products appealing to various fields, including astronomy, biology, etc. R is currently utilized in industry, while it was first employed for academic reasons.
  • R is a state-of-the-art language used for complicated statistical modeling.
  • In addition, R also supports array, matrix, and vector operations. R is known for its visual libraries which enable users to define and interact with aesthetic graphs for users.
  • In addition, R enables its useful users to construct R Shiny web apps, which are used to insert visualizations into web pages and give users a high degree of engagement.
  • Data extraction is also an essential component of data science. R offers the possibility to interface the R code with database management systems for this purpose.
  • R also offers you various alternatives for sophisticated data analysis, such as prediction models, machine learning techniques, and so on. R also has many image processing packages

Why is Data Science Important?

  • R offers a variety of significant data packets such as dplyr, purr, readxl, google sheets, datapasta, jsonlite, tidyquant, tidyr, etc. R provides several key features in data science applications.
  • For statistical modeling, R provides considerable assistance. Because data science is heavy with statistics, R is the best tool to carry out numerous statistical procedures.
  • R is an interesting tool for several applications in data science since it offers esthetical display tools, like ggplot2, scatterplot3D, grid, high charter, etc.
  • R is used extensively in ETL data science applications (Extract, Transform, Load). It offers an interface for several databases, including SQL and even tablets.
  • Another essential feature of R is to connect and analyze unstructured data with NoSQL databases. In data science applications where a data pool has to be evaluated, that is quite helpful.
  • Data scientists may use algorithms to learn about future occurrences with R. Various programs such as rpart, CARET, RandomForest, and nnet are available.

The features suitable to data science with R:

  • Powerful data display:- For any data research project the data dispute is most significant when it is cleaned, restructured and enriched by turning the rough data into a more useful format. R has various common functions for handling data values. For example, when the value missing is represented by NA in R, R gives the cleanup functionality for anyNA(),, na.pass(), na.exclude(), na.exclude(), complete.cases() and is.finite().

  • Extensive support for statistical modeling:- Statistical modeling is important in determining the relationship between one variable and another. R has strong statistical modeling capabilities. It offers great functionality for central tendency, variability measurement, probability testing, ANOVA testing, and regression analysis.

  • Great ETL facilities:- R provides high-performance functionality for ETL for data science applications (extract, transform and load). It has great interfaces for various databases, including Excel-type ETL table tools. NoSQL database connection:- In most data science initiatives, unstructured data is handled. R can supply NoSQL database interfaces and efficiently analyze unstructured data.

  • Machine learning algorithms support:- support The four primary categories of machine learner algorithms are supervised education, unsupervised learning, semi-supervised education, and strengthened education. R deals in engaging ways with every form of machine learning. Classification and regression both supervised learning techniques are handled efficiently with R. The standard functions are used to address linear regression, logistic regression, linear discrimination analysis, neighborly areas, decision-making areas, neural networks, and the supportive vector machines. R also handles successfully unattended difficulties of learning linked to grouping and association. The computer has the difficulties of an agent in reinforced learning, which can then learn the best behavior in live environments through trial and error. R provides a package for addressing these issues also.

Use of R for data science benefits:

Data science is an interdisciplinary subject in which crucial choices are taken in all fields to obtain meaningful insights from organized and unstructured data. R is a sophisticated program with a great ability to statistically and visualize data scientists. Data science is the process of data comprehension, derived from a wealth of organized and unstructured data, with relevant and critical knowledge. In present circumstances, this topic is particularly significant since each organization has numerous data of all kinds yet often strives to obtain valuable insights. What data science procedures need is a correct algorithm for processing the information and for easy execution of the method.

R is the most efficient tool to do data science algorithms and the capacity to work with large amounts of information. It offers several linear and non-linear models, conventional statistics testing, time series analysis, and machine learning capabilities, and good visualization techniques (e.g. classification, clustering, regression, and strengthening learning). It is an integrated collection of data science software applications.

R's major features are:

  • Efficient data management and storage.
  • Many data analyzer operators for each item.
  • Many tools and packages for structured and unstructured data analysis were incorporated.
  • Excellent visualization capability to picture the data.
  • A simple and efficient programming interface for data manipulation and self-learning algorithms.
  • The best statistical calculation environment.
  • Excellent documentation to explain each method and package in depth.

Important R package for the science of data:

R packages play a major role, let us look out some popular and valuable packages:

1. ggplot2:- R is best known because of its Ggplot2 visual library. It offers an attractive collection of interactive visuals, too. Ggplot2 has various add-ons to enhance usability and experiences.

2. Tidyr:- Tidyr is an R packet for cleaning and organizing your information. Tidyr processes the data via two attributes.Each column must be handled as a variable. Each line is a remark. You may use Tidyr to arrange data into rows and columns using three principal functions: gather(), spread(), separate().

3. Dplyr:- Maybe you can organize, manage and wrangle data with dplyr, the most relevant R package. A key element of dplyr is that it employs a simple to remember declarative syntax. Dplyr makes it easier to choose, alter, filter, mutate, and so on for different processes.

Learn key reasons for data science with R:

An ambition for many data aficionados is to become a data scientist. There are few fundamental reasons:

1. Field of high demand:- The Data Science job is one of the most sought-after careers and is forecast to produce over 11.5 million employment. It is estimated. The demand for data science skills is growing while the supply is too low. This lack of skilled data scientists has increased their market demand. A Sloan Management Review poll shows that 43% of organizations feel that a lack of data analysis abilities is a critical impediment to their success

2. Highly Pay & Various Roles:- Because data analytics are the key component of decision-making, firms are ready to recruit more data scientists who can support them in making the appropriate judgments to promote corporate success. Given that this is a less saturated location with an intermediate talent base, there have been many occasions that necessitate a variety of knowledge. Data science was the top paid field in all sectors in the year, according to Glassdoor.

3. Environmental development in the workplace:- The emergence of technologies such as artificial intelligence and robotics that lie under the framework of data science has replaced the great majority of manual activities with automation. To free people to focus on the key problems they need attention too, Machine Learning allowed computers to carry out repetitive activities. There have been many new and intriguing technologies such as Blockchain, Edge Computing, Serverless Computing, and others in this industry.

4. Product Standards Enhancement:- Customers have the experience that organizations want with the rigorous use of regression Machine Learning techniques, classification recommendations issues like decision trees, landscape forestry, neural networks, naive bays, etc. One of the greatest examples is the eCommerce sites that employ intelligent Recommendation Systems to recommend items and offer customer-centered insights according to their previous purchases. In determining the intended target population and managing marketing initiatives, data scientists function as trusted consultants for such organizations.

5. The world's help:- Almost all revolve around data in the world nowadays. Data scientists collect hidden knowledge from enormous volumes of facts that assist to make decisions across industries such as finance, healthcare, manufacturing, pharmaceutical, and technology. Companies have data-driven insights to increase production and growth while optimizing resources and mitigating any hazards. Data science catalyzes research and innovation, bringing good change to our lives all across the world.

The different types of Job Positions:

The issue arises which are the different fields used in R and which make it the trendy theme. The occupations that can lead to your 'R' illumination in R programming are as follows:

  • R programmer
  • Data Scientist
  • Data Analyst
  • Data Architect
  • Data Visualization Analyst
  • Geo Statisticians
  • Database Administrator
  • Quantitative Analysis with R

R Programmer:- The R programmers are responsible for using their programming talents, knocking the data down, and developing tools for facilitating data analysis. They employ vectors, matrices, and data frames to support speedy and efficient development. Data structures are available.

Data Scientist:- This is one of the routes that R programmers require. A data scientist is responsible for the design and implementation of layouts for massive data collections, data modeling, data mining, investigation, and prediction.

Data Analyst:– balance of technical and analytical expertise should be a data analyst. An analyst of the data should search, collect, struggle and provide insights from the information well versed. A DA should also have an in-depth understanding of a database and machine learning system.

Data Architect:- Many areas require data architects nowadays. Data architects combine their data sources and maintain them. You must remain relevant by the current technology such as Spark. The architect should also be knowledgeable of the warehousing of data, architecture of the database, ETL and BI tools, models of data, and development systems.

Data Visualization Analyst:- An analysis analyst for data visualization should be able to design and distribute interactive dashboards to provide information for making important business choices. They produce a detailed visual report that aids the company in forecasts and judgments that assist the company to expand.

Geo Statisticians:- These specialists take over the examination of geographical and time-set data.

Database Administrator:– A database manager guarantees that any user requiring a certain set of data has a database. They guarantee that all information has a method for backup and recovery. They must also take care of the modeling of data, design, and data security and be knowledgeable about their businesses.

QA using R:- Quantitative Quantitative analysis guarantees that all the portfolios are risks-balanced and help us uncover new chances and assess any asset price using mathematical models in any different field like finance, telecommunications, hospitality, etc.

What's the salary of the Data science with R?

Young IT workers find a job in the field of data science particularly attractive. Starting wages are extremely profitable and the wage with experience increases. A data scientist's salaries and years of experience rely on the expertise:-

Data scientist salaries at the entry-level:- A data scientist's typical entrance pay is about INR 69,57,087 annually, a quite high level.

Data scientists' mid-level wages:- The average compensation for a mid-level data scientist with about 1 - 4 years of experience is INR 94,28,684 annually. The typical wage is up to INR 35,48,012 a year if the data scientist is managed.

Data scientist's pay with experience:– An expertise data scientist's typical pay of around 5 to 9 years is INR 94,28,684 per year, but an experienced manager's median income is significantly higher; around INR 83,08,125 per year.

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Key Features

ACTE Hyderabad offers Data Science with R Training in more than 27+ branches with expert trainers. Here are the key features,
  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.


Syllabus of Data Science with R Course in Hyderabad
Module 1: Introduction to Data Science Methodologies
  • Data Types
  • Introduction to Data Science Tools
  • Statistics
  • Approach to Business Problems
  • Numerical Categorical
  • R, Python, WEKA, RapidMiner
Module 2: Correlation / AssociationRegressionCategorical variables
  • Introduction to Correlation Spearman Rank Correlation
  • OLS Regression – Simple and Multiple Dummy variables
  • Multiple regression
  • Assumptions violation – MLE estimates
  • Using UCI ML repository dataset or Built-in R dataset
Module 3: Data Preparation
  • Data preparation & Variable identification
  • Advanced regression
  • Parameter Estimation / Interpretation
  • Robust Regression
  • Accuracy in Parameter Estimation
  • Using UCI ML repository dataset or Built-in R dataset
Module 4: Logistic Regression
  • Introduction to Logistic Regression
  • Logit Function
  • Training-Validation approach
  • Lift charts
  • Decile Analysis
  • Using UCI ML repository dataset or Built-in R dataset
Module 5: Cluster AnalysisClassification Models
  • Introduction to Cluster Techniques
  • Distance Methodologies
  • Hierarchical and Non-Hierarchical Procedure
  • K-Means clustering
  • Introduction to decision trees/segmentation with Case Study
  • Using UCI ML repository dataset or Built-in R dataset
Module 6: Introduction and to Forecasting Techniques
  • Introduction to Time Series
  • Data and Analysis
  • Decomposition of Time Series
  • Trend and Seasonality detection and forecasting
  • Exponential Smoothing
  • Building R Dataset
  • Sales forecasting Case Study
Module 7: Advanced Time Series Modeling
  • Box – Jenkins Methodology
  • Introduction to Auto Regression and Moving Averages, ACF, PACF
  • Detecting order of ARIMA processes
  • Seasonal ARIMA Models (P,D,Q)(p,d,q)
  • Introduction to Multivariate Time-series Analysis
  • Using built-in R datasets
Module 8: Stock market prediction
  • Live example/ live project
  • Using client given stock prices / taking stock price data
Module 9: Pharmaceuticals
  • Case Study with the Data
  • Based on open set data
Module 10: Market Research
  • Case Study with the Data
  • Based on open set data
Module 11: Machine Learning
  • Supervised Learning Techniques
  • Conceptual Overview
  • Unsupervised Learning Techniques
  • Association Rule Mining Segmentation
Module 12: Fraud Analytics
  • Fraud Identification Process in Parts procuring
  • Sample data from online
  • Text Analytics
Module 13: Text Analytics
  • Sample text from online
Module 14: Social Media Analytics
  • Social Media Analytics
  • Sample text from online
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Hands-on Real Time Data Science with R Projects

Project 1
Sentiment Analysis project.

Sentiment analysis is the procedure by which information is extracted from the opinions, appraisals and emotions of people in regards to entities, events and their attributes.

Project 2
Credit Card Fraud Detection project.

The objectives of credit card fraud detection are to reduce losses due to payment fraud for both merchants and issuing banks and increase revenue opportunities for merchants.

Project 3
Customer Segmentation project.

Customer Segmentation is the process of division of customer base into several groups of individuals that share a similarity in different ways that are relevant to marketing.

Project 4
Product Bundle Identification project.

The objective of this data science project in R is to find out product bundles that can be put together on sale and typically Market Basket Analysis was used to identify.

Our Topmost Organizations Hiring Partners

ACTE Hyderabad assist Data Science with R attains for Methods, Applicability, and Products, Analytics Cloud. Human resource software administration, database management, and business training are generally included. Data Science with R Placement opportunities is available as a stand-alone course. as add-on to every student / professional who completed our classroom or online training. Some of our applicants are working in these companies listed below.

  • Our Best Training Institute has the potential to provide their applicants with a top-rated placement opportunity in HCL, Wipro, Dell, Accenture, Siemens, Google, CTS, TCS, IBM, and others are among our clients.
  • we provides a separate student portal with free access to study materials.
  • We will set up interview calls for applicants and prepare them for face-to-face interaction after they have completed 70% of the Data Science with R training course material.
  • Data Science with R Trainers help students build resumes that are relevant to current industry skill sets.
  • We have a tremendous Placement Support team that works with learners to find the best fit for their needs in the IT sector.
  • Mock Exams and Mock Interviews will be scheduled by our ACTE Placement cell to determine the most impactful candidates.

Get Certified By Data Science With R & Industry Recognized ACTE Certificate

All significant growth companies across the world realize ACTE Certification. R is a programming language that allows users to explore, model, and visualize data using objects, operators, and functions. R is a programming language that is used to analyze data. R is a programming language that is used in data science to manage, store, and analyze data. It can be used for statistical modeling and data analysis. R is a statistical analysis environment.

Our ACTE credential is recognized everywhere around the world. With the aid of this certification, you can boost the value of your CV and gain top positions in the world's largest multinational corporations. Only after graduating from our Data Science With R online training and practical assignments will you be awarded the certification.

Our ACTE Instructors will help the students to grab the knowledge on Other Data Science With R Course and trained them to get other certification which is listed below:

  • Certified Analytics Professional.
  • SAS Academy for Data Science.
  • Microsoft Certified Solutions Expert (MCSE).
  • Cloudera Certified Associate (CCA).
  • Cloudera Certified Professional: CCP Data Engineer.

  • Data science certifications are a great way to gain an edge because they allow you to develop skills that are hard to find in your desired industry. They're also a way to validate your skills, so recruiters and hiring managers know what they're getting if they hire you.
  • Join Our ACTE Data Science With R Training Course get communicate with our instructors will get an idea regarding the subject and schedule the study plan for certification exam.
  • R provides a good selection of libraries for data science along with libraries for machine learning and statistics. ... Providing in-depth support for topic-specific packages and a communication-oriented infrastructure simply makes R the best fit for data science for business.
  • Our ACTE Instructors will help the students to grab the knowledge on Other Data Science With R Course and trained them to get other certification which is listed below:

You will get hired for the following positions if you have a Data Science With R certificate

  • Data Scientist - R/Python
  • Data Scientist R/Predictive Modeling
  • Data Scientist - Machine Learning/R Programming
  • Data Scientist - SQL/Python/R

The Learners Can Adopt the Other Data Science With R Certifications:

  • R Programming Certification : $500
  • Programming for Data Science with R : $550
  • Statistics with R Certification : $500
  • R Programming: Advanced Analytics In R For Data Science : $850

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About Satisfactory Data Science with R Instructors

  • Our Data Science with R Training in Hyderabad. Industry professionals with an average of more than 9+ years of expertise in various technologies serve as trainers. On-site and online training options are available to match your needs.
  • Because the trainers are all Data Science with R domain working professionals with multiple ongoing projects, they will leverage projects throughout the training sessions.
  • Applicants will educate by industry experts who are eager to share their expertise with others. Experts will work one-on-one with you.
  • Our Mentors provide our learners with valuable insights into Interview scenarios and questions, as well as thorough Interview preparation and Soft Skills training.
  • Instructors assist them in grasping by thoroughly teaching them the most up-to-date ways in the Data Science with R business, delivering Best Data Science with R online course to the applicants.
  • Well-known IT businesses have granted us several important prizes for Data Science with R course in Hyderabad.

Data Science with R Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
  • ACTE Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Data Science with R training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Data Science with R Course At ACTE?

  • Data Science with R Course in ACTE is designed & conducted by Data Science with R experts with 10+ years of experience in the Data Science with R domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Data Science with R batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Data Science with R. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 938OO 99996 / Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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      Job Opportunities in Data Science

      More Than 35% Of Developers Prefer Data Science. Data Science Is The Most Popular And In-Demand Programming Language In The Tech World.

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