Master your R skills - No programming experience required; Become a Data Scientist!
R is the most versatile programming language that any aspiring data researcher/professional would like to learn. LearNow's Data Science with R certification course will teach you how to manage, process, and analyze data using this programming language.
The exercise-based approach will help you learn the basics of the pure packages like dplyr, readr, and ggplot2 that are commonly bundled with R. In this Data Science with R certification course, you will use real-world datasets to learn machine learning and statistical techniques required to create your functions and do group analysis.
Ready to take the plunge into data science? Enrol in this course today!
1400+ Students 
100% Success 
1130 Ratings
42-hrs LIVE Instructor-led online training
Hands-on learning with live projects
Access to comprehensive study material
Flexible schedule
Course completion certificate
24/7 Mentor support in learning
By completing Data Science with R course at LearNow, you will:
Better understand data science workflow using R
Understand the basic concepts of data science
Gain practical knowledge and know about tools of R.
Extensive knowledge of data manipulation & visualization, data mining, and advanced analysis.
Get advanced data science knowledge and use it in real business scenarios.
Understand the data science probability and statistics.
At LearNow, we always aim to build value for our candidates. We offer a Data Science with R course with the latest technologies and tools. Candidates with any educational background & having basic knowledge of R can join data science with R training. Attend this course to gain hands-on experience in analysis & development.
We designed this Data Science with R course to help you learn the basics of R and introduce its concepts. We have industry experts with extensive training experience. The course at our institute prepares you for complex, diverse projects, and the certification increases your career prospects. We offer online data science with R training at an affordable price. Register now! Enhance your skills – Become a Data Science Expert!
Software Developers/IT professionals looking for career growth in data analytics.
Consultants, Engineers, & Functional Managers.
Business Analysis and Data science professionals.
Graduates seeking a career in data science.
Experienced data science professionals looking to hone their skills in the domain.
Pre-requisites
There are no specific prerequisites to take this Data Science with R Certification training course. It would be added advantage if you have basic knowledge of any programming language.
Get high-paying job in top companies.
Knowledge of R language is an additional asset for better career growth in Data Science.
Growing demand for Data Scientists and companies look for data analytics skilled experts.
Unlock career opportunities and get more visibility.
Gain more confidence and better recognition in the competitive job marketplace.
This helps you use data management technologies such as Hadoop, R, machine learning, and more.
Experienced industry experts/trainers.
Providing flexible and self-paced learning experiences.
Live real-world project/role-based training.
Industry-recognized course completion certificate.
Review the video tutorials at any time from anywhere.
Training based on live industry scenarios and standards.
Industry-oriented study material with practical assignments.
Reinforced Learning
Reinforcement learning Process Flow
Reinforced Learning Use cases
Deep Learning
Biological Neural Networks
Understand Artificial Neural Networks
Building an Artificial Neural Network
How ANN works
Important Terminologies of ANN’s
What is Time Series data?
Time Series variables
Different components of Time Series data
Visualize the data to identify Time Series Components
Implement ARIMA model for forecasting
Exponential smoothing models
Identifying different time series scenario based on which different Exponential Smoothing model can be applied
Implement respective ETS model for forecasting
The concepts of text-mining
Use cases
Text Mining Algorithms
Quantifying text
TF-IDF
Beyond TF-IDF
What is Association Rules & its use cases?
What is Recommendation Engine & it’s working?
Types of Recommendations
User-Based Recommendation
Item-Based Recommendation
Difference: User-Based and Item-Based Recommendation
Recommendation use cases
What is Clustering & its use cases
What is K-means Clustering?
What is C-means Clustering?
What is Canopy Clustering?
What is Hierarchical Clustering?
What are classification and its use cases?
What is Decision Tree?
Algorithm for Decision Tree Induction
Creating a Perfect Decision Tree
Confusion Matrix
What is Random Forest?
What is Naive Bayes?
Support Vector Machine: Classification
What is Machine Learning?
Machine Learning Use-Cases
Machine Learning Process Flow
Machine Learning Categories
Supervised Learning algorithm: Linear Regression and Logistic Regression
Data Analysis Pipeline
What is Data Extraction
Types of Data
Raw and Processed Data
Data Wrangling
Exploratory Data Analysis
Visualization of Data
What is Statistical Inference?
Terminologies of Statistics
Measures of Centres
Measures of Spread
Probability
Normal Distribution
Binary Distribution
At LearNow’s Data Science with R course, we have an
industry-standard curriculum developed by industry experts. The training we
offer is 100% practice-oriented. When teaching data science, we make you to get
practical experience by involving in live-project assignments. We provide each
candidate with detailed guides. With our course content, we continue to educate
students and improve their skills.
At LearNow, Data Science
with R course is held online. You can attend it on a laptop/tablet with good
internet connectivity.
At LearNow, Data Science
with R course is held online. You can attend it on a laptop/tablet with good
internet connectivity.
At LearNow, the data science with
R course is conducted online and you are given access to recorded sessions and
so you can revise the missed session.
·
Software
Engineers
·
Data
Analysts
·
SAS
developers
·
Business
Analyst/Intelligence professionals
·
Professionals
who wish to begin their career in Data Science.
