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Data Science Certification Course using R ( L029 )

4.5 + (25,859) Students Ratings

IQ Training’s Data Science course is designed by industry experts which helps you to gain in-depth knowledge in data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language and also learn Machine Learning Algorithms using R. Data Science Training.

 

Course Price :

₹25,771
₹28,634
10%
off
Available

Live Instructor

Self Paced

Think Bigger Advantage

Live Online Classes

All our Classes are Live Instrucotor led online sessions. You can attend at the comfort of your place and Login to our Classes.

LMS (Learning Management System)

LMS will help you to organize your all training material, session videos and review at later date. You can access LMS anytime and review your completed classes. If you miss any class, then you can review the missed class in LMS.

Flexible Schedule

For some reasons, you can not attend the Classes, we can enroll you in the next possible classes. we assure flexibility in class schdules.

Lifetime Access to Learning Platform

You will get Lifetime free access to LMS(Learning Mangement System) You can access all Videos, class room assignments, quizzes, Projects for Life time. You will also get free video sessions for Life time.

Highest Completion Rate

We have the highest course completion rate in the Industry. If you miss a class, you can opt for the missed class in different batch. We assure you the best training possible for you to succeed.

Certificate of Completion

We provide you the Industry recognized Certification of Course completion This certificate will sometimes helps you to get reimbursement of training expenses by your company.

Training Scheule
Batch Start Date Days of Training Weekday/ Weekend Timings
27-Mar-2020 Available SAT & SUN (5 WEEKS) Weekend Batch 09:30 PM - 12:30 AM (EST)
 
 
 
 
 

Course Curriculum

Learning Objectives - In this module, you will know what is data science is all about, and you will understand how Data Science helps to analyze large and unstructured data with different tools. 

Topics:

  • What is Data Science?
  • What does Data Science involve?
  • The era of Data Science
  • Business Intelligence vs Data Science
  • The life cycle of Data Science
  • Tools of Data Science
  • Introduction to Big Data and Hadoop
  • Introduction to R
  • Introduction to Spark
  • Introduction to Machine Learning

Learning Objectives - In this module, you will get to know different statistical techniques and terminologies which are used in data analysis.  

Topics:

  • What is Statistical Inference?
  • Terminologies of Statistics
  • Measures of Centers
  • Measures of Spread
  • Probability
  • Normal Distribution
  • Binary Distribution

Learning Objectives - This module helps you to discuss the various sources available to extract data, you will also learn how to arrange the data in a structured form, analyze represent the data in a graphical format. 

Topics:

  • Data Analysis Pipeline
  • What is Data Extraction
  • Types of Data
  • Raw and Processed Data
  • Data Wrangling
  • Exploratory Data Analysis
  • Visualization of Data

 

Hands-On/Demo:

  • Loading different types of dataset in R
  • Arranging the data
  • Plotting the graphs

Learning Objectives - Introduction to machine learning will be explained in this module. You will learn various categories of Machine Learning and implement Supervised Learning Algorithms. 

Topics:

  • What is Machine Learning?
  • Machine Learning Use-Cases
  • Machine Learning Process Flow
  • Machine Learning Categories
  • Supervised Learning algorithm: Linear Regression and Logistic Regression

Hands-On/Demo:

  • Implementing Linear Regression model in R
  • Implementing the Logistic Regression model in R

Learning Objectives -This module covers Supervised Learning Techniques. This module also helps you in the implementation of various techniques, such as Decision Trees, Random Forest classifiers, etc.

Topics:

  • 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 a Random Forest?
  • What is Naive Bayes?
  • Support Vector Machine: Classification

Hands-On/Demo:

  • Implementing the Decision Tree model in R
  • Implementing Linear Random Forest in R
  • Implementing the Naive Bayes model in R
  • Implementing Support Vector Machine in R

Learning Objectives - Here you will learn about Unsupervised Learning and also understand how to analyze the data by using various types of clustering.

Topics:

  • What is Clustering & its use cases
  • What is K-means Clustering?
  • What is C-means Clustering?
  • What is Canopy Clustering?
  • What is Hierarchical Clustering? 

Hands-On/Demo:

  • Implementing K-means Clustering in R
  • Implementing C-means Clustering in R
  • Implementing Hierarchical Clustering in R

Learning Objectives - In this module, you will get to know about association rules and different types of Recommender Engines. 

Topics:

  • What is Association Rules & its use cases?
  • What is the Recommendation Engine & it’s working?
  • Types of Recommendations
  • User-Based Recommendation
  • Item-Based Recommendation
  • Difference: User-Based and Item-Based Recommendation
  • Recommendation use cases

Hands-On/Demo:

  • Implementing Association Rules in R
  • Building a Recommendation Engine in R

Learning Objectives - You will learn Unsupervised Machine Learning Techniques and the implementation of different algorithms in this module.

Topics:

  • The concepts of text-mining
  • Use cases
  • Text Mining Algorithms
  • Quantifying text
  • TF-IDF
  • Beyond TF-IDF

Hands-On/Demo:

  • Implementing a Bag of Words approach in R
  • Implementing Sentiment Analysis on Twitter Data using R

Learning Objectives - Discuss Time Series data, different components of Time Series data, Time Series modeling - Exponential Smoothing models and ARIMA model for Time Series Forecasting in this module. 

Topics:

  • 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 scenarios
  • Implement the respective ETS model for forecasting

Hands-On/Demo:

  • Visualizing and formatting Time Series data
  • Plotting decomposed Time Series data plot
  • Applying the models of  ARIMA and ETS for Time Series Forecasting
  • Forecasting for a given Time period

Learning Objectives - This module explains the concepts of Reinforcement learning and Deep learning with the help of use cases. You will get to discuss Artificial Neural Network (ANN) the building blocks for ANN, and few terminologies of ANN.

 

Topics:

  • 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
Like the course? Enroll Now

Structure your learning and get a certificate to prove it.

Course Details

Data Science Certification Training is designed by expertise group, to make you a Certified Data Scientist. The Data Science course offers:

  • Comprehensive knowledge of Data Science Life Cycle and Machine Learning Algorithms
  • In-depth knowledge of different tools and techniques for Data Transformation
  • Capacity to perform Text Mining and Sentimental analysis of text data 
  • An insight into Data Visualization and  Data Optimization techniques
  • Implementation of many real time industry-based projects which will be executed in RStudio
  • Multiple Projects in healthcare, social media, aviation and HR
  • Rigorous involvement of an SME 

The growth of Data Analytics is increasing rapidly. It is a great opportunity for IT professionals. It is best suited for:

  • Developers who are aspiring to become “DATA SCIENTISTS”
  • Analytics Managers
  • Business Analysts who want to learn Machine Learning (ML) Techniques
  • Information Architects who wish to become experts in Predictive Analytics
  • 'R' professionals who want to work in Big Data
  • Analysts who want to understand the methodologies of Data Science.

To learn Data Science, there are no specific prerequisites but however a basic understanding of R will be beneficial. When you enroll in data science training, IQ Training offers you a complimentary self-paced course, i.e. "R Essentials" which will be more beneficial for Data Science Course.

Data Science Certification Course using R Ceritficate

Data Science Certification Course using R Reviews

25,859

Total number of reviews

4.5

Aggregate review score

80%

Course completion rate

Data Science Certification Course using R Features

Live Online Classes

All our Classes are Live Instructor led online sessions. You can attend at the comfort of your place and Login to our Classes.

LMS (Learning Management System)

LMS will help you to organize your all training material, session videos and review at later date. You can access LMS anytime and review your completed classes. If you miss any class, then you can review the missed class in LMS.

Flexible Schedule

For some reasons, you can not attend the Classes, we can enroll you in the next possible classes. we assure flexibility in class schedules.

Lifetime Access to Learning Platform

You will get Lifetime free access to LMS(Learning Mangement System) You can access all Videos, class room assignments, quizzes, Projects for Life time. You will also get free video sessions for Life time.

Highest Course Completion Rate

We have the highest course completion rate in the Industry. If you miss a class, you can opt for the missed class in different batch. We assure you the best training possible for you to succeed.

Certificate of completion

We provide you the Industry recognized Certification of Course completion This certificate will sometimes helps you to get reimbursement of training expenses by your company.

Like the course? Enroll Now

Structure your learning and get a certificate to prove it.

Data Science Certification Course using R FAQs

You will never miss a class at IQ Online Training! You can choose either of the two options:

  1. View the recorded session of the class available in your LMS or
  2. You can attend the missed session in any other live batch.

After the enrolment, the LMS access will be instantly provided to you able to access for lifetime which includes complete set of previous class recordings/PPTs/PDFs/assignments. You can start learning right away.

Your access to the Support Team is for lifetime. Our team will help you in resolving queries, during and after the course.

Yes, once enrollment has done for course. Access to the course material will be available for lifetime.

You can Call our support numbers listed in site OR Email us at info@iqtrainings.com.

You can view in-depth class sample recordings before the enrollment. Experience the complete learning instead of a demo session with our expertise.

All the instructors are Industry experts with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are well trained for providing an awesome learning experience to the participants.

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