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Data Science using R Certification Training in Dallas-Irving, TX

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    • Fast-track your career by becoming a Data Scientist and earn up to $125,000 per year (Glassdoor salary data)

    • Learn Data Science using R from the comfort of your home and transform your future

    • Curated by industry experts, the course will make you proficient in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R.

    • 30 hours of Instructor-led data science using R live-online training delivered over web-conferencing medium

    • We provide great learning experience at lowest price in the industry

  • Training Delivery
  • Skill Level
  • Enrolled 18625 students
35 students
Online Self-Learning
  • Anytime, Anywhere: Learn whenever it is convenient to you
  • Learn through high quality presentations, quizzes, recordings of live classes; installation guide available in LMS
  • Course content created using real life case studies and live project
  • 24x7 customer support through email and ticket-based
  • Lifetime access to online Learning Management System (LMS)
USD 299 179
40

Data Science using R Course Overview

Data Science Training lets you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes using R. Data Science Training encompasses a conceptual understanding of Statistics, Time Series, Text Mining and an introduction to Deep Learning. Throughout this Data Science Course, you will implement real-life use-cases on Media, Healthcare, Social Media, Aviation and HR.

Data science is a "concept to unify statistics, data analysis and their related methods" to "understand and analyse actual phenomena" with data. Data Science Training employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science from the sub-domains of machine learning, classification, cluster analysis, data mining, databases, and visualization. The Data Science Certification Course enables you to gain knowledge of the entire life cycle of Data Science, analyse and visualise different data sets, different Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes.

Data Science Certification Training is designed by industry experts to make you a Certified Data Scientist. The Data Science course offers:

  • In-depth knowledge of Data Science Life Cycle and Machine Learning Algorithms
  • Comprehensive knowledge of various tools and techniques for Data Transformation
  • The capability to perform Text Mining and Sentimental analyses on text data and gain an insight into Data Visualization and Optimization techniques
  • The exposure to many real-life industry-based projects which will be executed in RStudio
  • Projects which are diverse in nature covering media, healthcare, social media, aviation and HR
  • Rigorous involvement of an SME throughout the Data Science Training to learn industry standards and best practices
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Data Science using R Course Topics

  • What is Data Science?
  • What does Data Science involve?
  • Era of Data Science
  • Business Intelligence vs Data Science
  • 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
  • What is Statistical Inference?
  • Terminologies of Statistics
  • Measures of Centers
  • Measures of Spread
  • Probability
  • Normal Distribution
  • Binary Distribution
  • Data Analysis Pipeline
  • What is Data Extraction
  • Types of Data
  • Raw and Processed Data
  • Data Wrangling
  • Exploratory Data Analysis
  • Visualization of Data
  • What is Machine Learning?
  • Machine Learning Use-Cases
  • Machine Learning Process Flow
  • Machine Learning Categories
  • Supervised Learning algorithm: Linear Regression and Logistic Regression
  • 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 Navies Bayes?
  • Support Vector Machine: Classification
  • 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 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
  • The concepts of text-mining
  • Use cases
  • Text Mining Algorithms
  • Quantifying text
  • TF-IDF
  • Beyond TF-IDF
  • 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
  • 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

Data Science using R Certification & Exam

Once you have successfully submitted the Data Science Certification project, it will be reviewed by our expert panel. After a successful evaluation, you will be awarded with Data Science Expert Certificate.

Why Choose Us

Course Design

Based on years of experience in delivering effective professional training, our courses are designed not only to provide you the Data Science Expert certification, but also to empower with best practices. We achieve this by providing a unique blend of concepts, case studies, and simulations that guarantee our students know how to implement Data Science concepts using R in real life.

Trainers

All our trainers are highly qualified and certified in various industry frameworks. They have years of professional experience in their respective fields with a minimum of 10 years’ experience in training and consulting. Our trainers are not only experts in their domains but are also passionate about sharing their knowledge and expertise with other professionals thereby enriching careers of students.

Unmatched Quality

We along with our affiliate partners are dedicated in creating the best quality study materials and student experience across our products. All content complies with quality conformance standards to ensure that our content is the best in class and free of any errors.

Low Cost

Without compromising on quality, we have priced our Data Science using R certification training courses very competitively. You will find us more economical than any other training provider.

Never miss a class

In case you miss a session because of any reason, you can either attend the missed session in any other live batch or view the recorded session in the LMS.

Lifetime access

You get lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS.

Convenient Schedule

We have batches both on weekends and weekdays to accommodate the need of different professionals.

Most Popular

More than 31,000 satisfied learners have taken this course on Data Science using R.

Customer Satisfaction

We are here to ensure you get heard 24/7, and to take care of every single questions and doubts you have. Our dedicated support team will provide you best in class round the clock customer support. Superior customer service is the hallmark of our company and we always go the extra mile to satisfy each of our customers whether an individual or a corporate client.

Data Science using R Training Frequently Asked Questions

The orientation class is a preparatory session which gives a basic overview of the course and also guides the learners about any software/license installation required for the course. This will prepare you for the actual class, which will start the next week. Attending the orientation class is optional.

Please click on the "ENROLL" button against the course you wish to enroll for. You need to provide your details (Name, Email ID, etc) and pay the course fee.

Payments can be made using global payment gateways such as PayPal, Stripe or PayUmoney. You can register and pay for a course online with most of the globally accepted Credit or Debit Cards.

Yes, we do offer additional discounts to group and corporate training customers. Please get in touch with us by email ([email protected]) to find out more about our group discount offerings.

Use the "Drop a query"section in this page or check "Contact Us" section. Alternatively, please send an email to [email protected] to find out more about our course offerings.

We strongly recommended to continue with one mode of training for better learning experience. However, in case situation demands, you can switch mode of training upon availability of respective courses with other training modes. Check with our team well in advance for any change request to avoid logistics and operational inconvenience.

If you're between jobs and have been unemployed for last the 6 months, or you're a student taking a course for career growth, we do provide additional discounts for you on selected courses. Please email [email protected] to avail this benefit and discount coupon.

Note: These discounts are available on selected courses, have a limited number and on a first-come-first-serve basis.

Yes, we do provide additional discounts for military veterans on selected courses. Please email [email protected] for more details.

Firstly, we recommend you to check your spam folder, since the confirmation emails land up in spam sometimes. If you have not received any email on payment confirmation, or respective course details even in your spam folder, please email [email protected] for a quick resolution.

Please refer to the Cancellation Policy and Refund Policy.

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