Data Science using R

Best R training for industry relevant Advanced Analytics and Machine Learning skills!

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  • 124 Hours
  • 18 Classes
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  • Courses details
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  • Learning Modes
    play

    Self-Paced Blended
    eLearning

    INR 20000*/-
    date

    No of classes X Hours

    18 x 3 = 54 hrs
    54 hrs eLearning

    study

    Self Study Hours

    70
    (8-10 hrs/ week)

    10

    Assignments & Projects
    recruitment

    Placement Readiness Program


    With this comprehensive R training learn hand-on skills on Data Science with R - the golden boy of Data Science! Over past several years R has garnered immense popularity among Data Science practitioners and it is no surprise that R language is often as referred as lingua franca of Data Science! This Data Science R course effectively covers basic data analytics, statistical predictive modelling and machine learning through various practical examples and projects.

    Best R training in Bangalore and Delhi NCR, for candidates who do not have programming background but want to acquire job oriented practical skills on a prominent open source Data Science platform. This Data Science R course is also available through live online and self-paced video based mode as well. 

    You may also check for amazing value combo course Data Science Specialization to learn Data Science & Machine Learning using Python & R.

    The course curriculum starts with R fundamentals, using it for data handling, manipulation and descriptive analytics. Next, you learn using R with databases and data visualization. This is followed by statistical analysis, regression modelling and gardually move to learning important machine learning concepts and techniques.

    • Building Blocks
        • Introduction to Bridge Course & Analytics Software’s 
        • Basic Excel
        • RDBMS & SQL (Basics)
        • Introduction to Analytics & Data Science
        • Basic Programming Elements
        • Introduction to Basic Statistics
        • Introduction to Mathematical Foundations
    • Data Analytics with Excel
        • Quick Recap of Basics of Excel
        • Data manipulation using functions         
        • Data analysis and reporting       
        • Data Visualization in Excel 
        • Overview of Dashboards 
        • Create dashboards in Excel - Using Pivot controls 
        • Business Dashboard Creation 
    • Data Analytics with SQL
        • Quick Recap of RDBMS & Basic SQL
        • Data based objects creation (DDL Commands)
        • Data manipulation (DML Commands)    
        • Accessing data from Multiple Tables using SELECT    
        • Advanced SQL    
        • Apply learning's on Business Case study    
    • Data Visualization and Analytics with PowerBi
        • Getting Started
        • Data handling & summaries
        • Building Advanced Reports/ Maps
        • Calculated Fields
        • Table calculations
        • Parameters
        • Building Interactive Dashboards
        • Building Stories
        • Working with Data
        • Sharing work with others
    • Data Analytics using VBA (e-learning)
          • Introducing VBA
          • How VBA Works with Excel
          • Key Components of  Programming  language
          • A look at some commonly used code snippets
          • Programming constructs in VBA
          • Functions & Procedures in VBA – Modularizing your programs
          • Objects & Memory Management in VBA
          • Error Handling
          • Controlling accessibility of your code – Access specifiers
          • Code Reusability – Adding references and components to your code
          • Communicating with Your Users 
    • R for Data Science (Optional e-learning)
        • Data Importing/Exporting
        • Data Manipulation
        • Data Analysis
        • Using R with databases
        • Data Visualization with R
        • Introduction to Statistics
        • Introduction to Predictive Modeling
        • Supervised Learning: Regression problems using OLS Regression
        • Supervised Learning: Classification problems using Logistic Regression
        • Introduction to Machine Learning
        • Supervised Learning: Regression problems
        • Supervised Learning: Classification problems
        • Unsupervised Learning - Segmentation
        • Time Series Forecasting
    • Python for Data Science
        • Python Essentials (Core)
        • Operations with NumPy (Numerical Python)
        • Overview of Pandas
        • Cleansing Data with Python
        • Data Analysis using Python
        • Data Visualization with Python
        • Basic Visualization Tools
        • Statistical Methods & Hypothesis Testing
    • R for Data Science (Optional e-learning)
    • Python for Data Science
        • Python Essentials (Core)
        • Operations with NumPy (Numerical Python)
        • Overview of Pandas
        • Cleansing Data with Python
        • Data Analysis using Python
        • Data Visualization with Python
        • Basic Visualization Tools
        • Statistical Methods & Hypothesis Testing
    • R for Data Science (Optional e-learning)
    • Python for Data Science
        • Python Essentials (Core)
        • Operations with NumPy (Numerical Python)
        • Overview of Pandas
        • Cleansing Data with Python
        • Data Analysis using Python
        • Data Visualization with Python
        • Basic Visualization Tools
        • Statistical Methods & Hypothesis Testing
    • R for Data Science (Optional e-learning)
    • Python for Data Science
        • Python Essentials (Core)
        • Operations with NumPy (Numerical Python)
        • Overview of Pandas
        • Cleansing Data with Python
        • Data Analysis using Python
        • Data Visualization with Python
        • Basic Visualization Tools
        • Statistical Methods & Hypothesis Testing

    Candidates from various quantitative backgrounds, like Engineering, Finance, Maths, Statistics, Business Management who want R training from the basics with a focus on Data Science and Machine Learning methods.

      • Analytics Consultant
      • Data Analyst
      • Business Analyst
      • Data Science Consultant
      • Data Scientist
      • Statistical Analyst
      • Data Mining & Analysis
      • R Programming
      • Predictive Modelling
      • Statistical Analysis
      • Data Science Methods
      • Supervised Learning Models
      • Unsupervised Learning Models

      In addition to multiple case studies used for class sessions, course includes following assignments and projects for self-study and hands-on skills.

      Assignments
      • 3 Basic exercises ( Excel, SQL & Tableau)
      • 4 case studies on Pandas for data munging, descriptive & visual analysis
      • 2 exercises for statistical analysis
      • 3 Analytics case studies using R
      Projects
      • Sports event analysis and reporting
      • Sports equipment retail data analysis and visualization
      • Network intrusion detection (Supervised Machine learning)
      • Retail chain sales forecasting (Multivariate Time Series)
      • Banking customer clustering (Unsupervised Machine Learning)
      • Marketing & Sales data manipulation and analysis
      • Peer group lending analysis & prediction (Regression Methods)
      • Airlines data analysis and reporting
      • Predicting credit card spend (Regression Methods)
      • Consumer electronics pricing data analysis & visualization
      play
      Self-paced eLearning

      Learn through ondemand e-learning video session available in you learning management system. Along with extensive doubts support over mail/ online/ in-person.

      • Owing to our well established domain expertise and prestigious clientele in India and overseas, AnalytixLabs certification is highly regarded in the industry. Being India’s top ranked Data Science institute it is imperative that we uphold the sanctity of our certification process.
      • You shall be awarded a certificate only post the submission and fair evaluation of mandatory project work, provided as a part of the course. There is no pass/fail for these assignments and projects.
      • In case the assignments and projects are not up-to-the-mark, trainees are welcome to take help and support for improvisation. But no kind plagiarism will be tolerated during evaluation.
      • There is no pass/fail for these assignments and projects, except MCQ tests. In the case of the dual certification program, you will get two attempts to clear MCQ assessments.
      • Our objective is to ensure that trainees get vital hands-on experience so that they are well-prepared for job interviews along with a performance at their jobs.
      data-science-with- R

      Select the course you want to Enroll:

      play Self-paced Blended

      ₹ 20000 + taxes

      Learn through on demand e-learning video sessions available in your learning management system.

      • Student loan available with easy EMIs
      • Affordable option to master the skills with high ROI
      • Latest industry-relevant content with 124 hours of learning
      • Extensive doubts support over mail/ online/ in-person
      • Flexibility to complete the AnalytixLabs certification in up to 1 year (6 months for dual certificate)
      profile

      Profile Building

      A team of seasoned professionals will provide you personalized help for preparing CV and online profiles, based on your educational background and experience.

      interview

      Interview Preparation

      This will be followed by one to one interview preparation along with mock interviews (if required).

      jobpreperation

      Job Referrals

      We get different types of job requirements from various organizations, our clients, HR consultants and large pool of AnalytixLabs’ alumni working in various companies.

      support

      Continuous Support

      There will be continuous support from our side for as long as you need it. Most of our students do get multiple interview calls and good career options based on the skills they learn during the course.

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      FAQ

      Frequently asked question

      • What can taking a course in data analytics accomplish for my career?

        You can start along the road to becoming a successful data analyst across several disciplines by enrolling in a well-designed data analytics course. Over the past ten years, the demand for data specialists has increased tremendously across industries, and getting training in data analytics is one of the greatest ways to keep up.

        Be it analyzing a sporting event or detecting early-stage cancer; a data analyst has a role in everything. The scope of data analytics as a discipline has been growing since its inception. Every task, every process, every little gadget connected to the internet produces data that can be turned into vital information. The newfound utility of data has increased the importance of analytics and data science in India by manifolds. Therefore, a reputed data analytics certification course in India can boost your career to get a flying start in the industry.

      • What distinguishes a data science course from an analytics course?

        A subset of data science called data analytics has a much narrower field of study. You can learn how to handle data collecting, cleansing, and organisation as well as descriptive and predictive data analysis through a data analytics certification training programme.

        Finding patterns in data, posing pertinent questions, and setting up machine learning algorithms to provide answers are the main objectives of a data science training course. Depending on your experience, knowledge, and, of course, the mentors at Ai campus' expert advice, you can select a course.

        Data science and data analytics careers can take many different forms. For instance, the business analytics 360 course will assist you in starting from scratch to become a business analyst. You can increase your understanding of algorithms and predictive modelling with the aid of a machine learning course. For each of them, Ai campus offers the top data analytics education in Bangalore, Noida, and Delhi.

      • What does the professional transition look like after data science training?

        Since data science is a broad field, it is challenging to provide a definitive response. Nevertheless, we may consider some real-world situations that our alumni have encountered. To confirm their claims, look them up on LinkedIn.

        After receiving training from Ai Campus, we transformed from a leader in the manufacturing industry into a global data science pioneer. Aggarwal's learning curve was very easy for a non-programmer. He was able to devote a sufficient amount of time to practising programming while still paying attention to other important factors thanks to the course's carefully planned framework. His development was quick, focused, and successful. He is currently making contributions to analytics and customer data science.

        The journey taken by Archish Rai Kapil from history graduate to data analyst at Air India is pretty inspiring. He began with advanced Excel expertise and accumulated certifications in a variety of analytics technologies. His lack of CS experience never got in the way, and Archish graciously gives Ai Campus some of the credit for providing him with "just what he needed."

        These two examples were chosen from a long list with the intent of demonstrating that anyone can make the transition to data science and highlighting the fact that active professionals can, with a little extra effort, obtain a certification in data analytics and do so successfully.

      • What distinguishes Ai Campus as a data analytics institute?

        In order to offer IT/ITES professionals a comprehensive range of data science training programmes, Ai Campus was founded in 2011. There are numerous organisations operating with a broadly comparable objective in mind. Ai Campus has become a trusted reputation over the past ten years by acting in specific ways correctly.

        The mission of Ai Campus is to empower young people in India to take advantage of opportunities in the future. The finest data science institute in India, according to Analytics India Magazine, is Ai Campus.

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