Home » Courses » Data Science Using R

Data Science Certification Training using R

Time to scale up and learn the much trending Data Science skills. Register for a Data Science Training that can boost your skill set and get you a very high paying job. This modern-day online Data Science Training is like one of the necessities in this technology era that you need to learn in order to excel in the present-day job market.

Next Class Begins in 0 days - 30 Jan 2020

Instructor-led Live Online Classes

Personalized Student Dashboard

Real-life Case Studies and Assignments

Industry Experienced Trainers

Enroll For Free Demo

Enter your details to attend Course Demo Class

Why Data Science Certification?

Some latest facts to assess why Data Science Training is trending these days

45%

Of the workers employed in the field are happy with their Data Science career

34%

The rise in the number of students taking data science certification training

Data Science Growth

3,908

Data Science related jobs posted in one single month of September 2019 on Indeed.com

$121,300

Is the average annual salary of a data science expert in the USA

12%

More than the average annual salary for other IT professionals in the USA

Dive deep into the Data Science Career

Learn about Career benefits, in-demand skills, average salaries and tips to Crack Job Interview.

Data Science jobs

29%

Increase in demand for Data Science professionals all across the globe within 2019

Instructor-led Live Online Classes


Upcoming Data Science Classes

Starting
Duration
Price
30 Jan

30 Jan ( 6 weeks)

09:00 PM - 10:30 PM EST

USD 549
Discount on Call
29 Feb

29 Feb ( 6 weeks)

09:00 PM - 10:30 PM EST

USD 549
30 Mar

30 Mar ( 6 weeks)

09:00 PM - 10:30 PM EST

USD 549
29 Apr

29 Apr ( 6 weeks)

09:00 PM - 10:30 PM EST

USD 549
Detail

30 Jan ( 6 weeks)

09.00 - 10.30 PM EST

USD 549
Discount on Call

29 Feb ( 6 weeks)

09.00 - 10.30 PM EST

USD 549

30 Mar ( 6 weeks)

09.00 - 10.30 PM EST

USD 549

29 Apr ( 6 weeks)

09.00 - 10.30 PM EST

USD 549

Earn your Data Science Certificate

Best-in-class content by leading faculty & industry leaders in the form of videos and projects, assignments & live sessions.

Career Counselling

Career Counselling

Resume Feedback

Resume Feedback

Interview Preparation

Interview Preparation

Data Science Certification Course Roadmap

With JanBask Training, you can be assured of one thing for sure, and that is The Contemporary Syllabus

Data Science with R Programming

    • Learn about getting to Know R: Download and Install R
    • Get a good knowledge about Functions and Data Structures
    • Learn about Loops and Flow Control
    • Get a good knowledge about working with Vector and Matrix
    • Learn about Reading and Writing Data in R
    • Get a good knowledge about working with Data
    • Learn about Manipulating Data
    • Get a good knowledge of Data Modeling
    • Learn about Graphics in R
    • Get a good knowledge about Case Study

Statistical Analysis

    • Get a good knowledge about an introduction to Statistical Analysis
    • Learn about- why is statistical analysis required
    • Get a good knowledge about Random Variables, Probability Distribution
    • Learn about Properties of Normal Distribution
    • Get a good knowledge about Sampling Variation & Central Limit Theorem
    • Learn about Confidence Interval
    • Get a good knowledge about Hypothesis Testing: Single and 2 tailed Tests
    • Learn about Comparison of two population
    • Get a good knowledge about ANOVA
    • Learn about Data Processing

Supervised & Unsupervised

    • Learn about Linear Regression
    • Get a good knowledge about Logistic regression
    • Learn about K nearest neighbor
    • Get a good knowledge about Decision Trees
    • Get a good knowledge about Random Forest
    • Learn about Adaboost
    • Get a good knowledge about Naïve Bayes
    • Get a good knowledge about SVM
    • Learn about Introduction
    • Get a good knowledge of Clustering Algorithms
    • Get a good knowledge about Market Basket Analysis 1
    • Learn about Principal Component Analysis

Time Series Forecasting & Data Visualization

    • Get an introduction of Time Series Forecasting
    • Learn about Performance Evaluation
    • Learn about Forecasting Methods
    • Learn about Smoothing Methods
    • Learn about Regression-Based Models
    • Data Visualization
    • Get an Introduction to Tableau
    • Learn about Establishing Connections
    • Learn about Joints and Union
    • Get to learn about Data Blending
    • Learn about Creating Dashboards
    • Get to learn about Creating Stories

AI & Deep Learning

    • You will get an introduction to Neural Network
    • Learn about Functioning & Usage
    • Learn About the Advantages and Disadvantages
    • Get a good knowledge of Convolutional Networks
    • Learn about Recurrent Neural Networks
    • Learn about AutoEncoders
    • Get a good knowledge of Long Short Term Memory
    • Learn about Deep Learning with Keras
    • Learn about Deep learning with TensorFlow
    • Get a working knowledge of Practical implementation of all these

Data Science with Python

    • Get an Introduction to Python
    • Learn about Installing Python
    • Learn about the Key features of Python
    • Learn about Python variables
    • Learn about Key Data Structures
    • Get a working knowledge of the Data Structures & key libraries in Python
    • Learn about Key Data Structures - Contd.
    • Get a good knowledge of Control Flows
    • Learn about Numpy 1 & Numpy 2
    • Learn about Pandas basics
    • Learn about Pandas 2
    • Get knowledge of Matplotlib

Data Science Certification Course Roadmap

  • With JanBask Training, you can be assured of one thing for sure, and that is The Contemporary Syllabus. Our team does extensive market research before penning down every topic that they choose to teach in this Data Science Course. We know what the industry demands. Our Data Science Learning Path is something that will easily ready you for a thriving data science career.

    You will also learn about the following supporting concepts

    • Need for Data Scientists
    • Foundation of Data Science
    • What is Business Intelligence
    • How is data science is different from BI and Reporting?
    • What is Data Analysis, Data Mining, and Machine Learning
    • Analytics vs Data Science
    • What is the day to day job of Data Scientist
    • Value Chain
    • Types of Analytics
    • Lifecycle Probability
    • Analytics Project Lifecycle
    • A Primer to R programming
    • What is R? Similarities to OOP and SQL
    • Types of objects in R – lists, matrices, arrays, data.frames etc.
    • Creating new variables or updating existing variables
    • If statements and conditional loops - For, while, etc.
    • String manipulations
    • Subsetting data from matrices and data.frames
    • Casting and melting data to a long and wide format.
    • Merging datasets
    • The data types in R and its uses
    • Built-in functions in R
    • Subsetting methods
    • Summarize data using functions
    • Use of functions like head(), tail(), for inspecting data
    • Use-cases for problem-solving using R
    • Various phases of Data Cleaning
    • Functions used in Inspection
    • Data Cleaning Techniques
    • Uses of functions involved
    • Use-cases for Data Cleaning using R
    • Dealing Prediction problem
    • Forecasting for industry
    • Optimization in logistics
    • Segmentation in customer analytics
    • Supervised learning
    • Unsupervised Learning
    • Optimization
    • Types of AI: Statistical Modelling, Machine Learning, Deep Learning,
    • Optimization, Natural Language Processing, Computer vision, Speech
    • Processing, Robotics
    • Assumptions
    • Model development and interpretation
    • Sum of least squares
    • Model validation – tests to validate assumptions
    • Multiple linear regression
    • Disadvantages of linear models
    • Need for logistic regression
    • Logit link function
    • Maximum likelihood estimation
    • Model development and interpretation
    • Confusion Matrix – error measurement
    • ROC curve
    • Measuring sensitivity and specificity
    • Advantages and disadvantages of logistic regression models
    • Definition and computation of a probability
    • Measurement of central tendencies and its 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 the 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
    • Probability Distributions: Discrete Random Variables
    • Mean, Expected Value
    • Binomial Random Variable
    • Poisson Random Variable
    • Continuous Random Variable
    • Normal distribution
    • Using Software-Real Time Problems
    • Supervised LearningWhat is supervised learning
    • Algorithms in Supervised learning
    • Steps in Supervised learning
    • Regression & ClassificationRegression vs classification
    • Computation of correlation 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 strength of model, Prediction and
    • 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 Worksheet
    • Basics of TableauA-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 TableauTrend Line Analysis
    • Dashboard Creation
    • Formatting in tableau
    • Forecasting using Exponential Smoothing
    • Introduction to SQL and Databases
    • SQL developer installation
    • Data types
    • Data types and Operators
    • Create and Drop database
    • DDL, DML, DCL, TCL, Sorting commands and other keywords
    • Advanced SQL-Wildcards, Constraints, Joins, Unions, NULL, Alias, Truncate, Views, Subqueries

Course Curriculum

Get the Complete Course Curriculum

Data Science Using R Corporate Training

Data Science Corporate Training

Make Data Science concepts easy for your team with a cutting-edge Data Science Corporate training module. A training that is custom-fitted to the biggest corporates and their needs.

FAQs on Data Science Certification Course and Training

Data Science Using R FAQs

Still Confused?

Our well-defined learning path for Data Science promises:

"Unlimited job options for certified Data science professionals and get hired by leading MNCs worldwide successfully"

Our Reviews


6K + Learners | 1666 Reviews

Customer Reviews

Yasmine Pithawala

I had a good time and experience while learning Data Science with JanBask Training. The entire training module was just amazing. My training started with the very basic concepts of data mining, AI, Machine learning terminologies. It was very interesting to learn everything in a live environment.

Saurabh Jain

I had a great time learning in the online Data Science course from JanBask Training. This is because in their training classes everything starts from scratch. Also, the course is very short, crisp and affordable. if you are looking for a quick and affordable way to change jobs, this is it.. It never felt like it was happening in a virtual space.

Krishna Kumar

Training amazing, sessions amazing, trainer amazing, learning amazing, and the list goes on and on. My training stint with JanBask Training was just amazing. I was a little hesitant about it as it was my first online training experience. The training sessions were very engaging. A lot of reading material was shared with us. There were MCQs, PPTs, Case-Studies, etc. We were encouraged to speak and discuss the concepts. The course was current in terms of the syllabus.

Vivian Rogers

The Data Science Training and Certification course which is offered by JanBask Training is pretty amazing. This training changed my career. I cleared my certification in the first go. Not only this, I even had a very smooth stint with my job applications and interviews. They train you for all these things in a brilliant manner. The course is of very short duration and is very affordable.

Wahad Reem

I had subscribed for Data Science Training and Certification. The course comes with a very dynamic syllabus and varied forms of learning resources such as PPTs, YouTube Videos, MCQs, and regular assignments that make every concept very easy to learn. It has excellent instructors and a great support team. They are very prompt in query resolution..

Ganesh Vishwasacharya

A great course on Data Science training and certification. This course is all you need to clear your Data Science certification exam. It is very comprehensive. The course ensures two things- you clear your certification exam and get a job that you have your eyes set on. What else one needs. The doubt session after every training session used to be quite informative.

Need Further Information - Just Write to Us

Trending Courses

Achieve your career goals with industry-recognized learning paths