Data Analytics with R Certification Training in Wellington, New Zealand

  • Learn Data Analytics using R from the comfort of your home and transform your career
  • Data Analysts, skilled in R, earn up to $125,000 per year (Payscale salary data)
  • Curated by industry experts, the course will make you proficient in R Programming, Data Manipulation, Exploratory Data Analysis, Data Visualization, Data Mining, Regression, Sentiment Analysis and using R Studio
  • 30 hours of Instructor-led live-online training on data analytics with R delivered over web-conferencing medium
  • We provide great learning experience at lowest price in the industry
Data Analytics R

Data Analytics R Training Options in Wellington, New Zealand

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
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Data Analytics with R Course Overview

Data Analytics with R training will help you gain expertise in R Programming, Data Manipulation, Exploratory Data Analysis, Data Visualization, Data Mining, Regression, Sentiment Analysis and using R Studio for real life case studies on Retail, Social Media. This course is specially designed to provide the requisite knowledge and skills to become a successful analytics professional. It covers concepts of Data Manipulation, Exploratory Data Analysis, etc before moving over to advanced topics like the Ensemble of Decision trees, Collaborative filtering, etc.

After the completion of this Data Analytics with R course, you should be able to:

  • Understand concepts around Business Intelligence and Business Analytics
  • Explore Recommendation Systems with functions like Association Rule Mining, user-based collaborative filtering and Item-based collaborative filtering among others
  • Apply various supervised machine learning techniques
  • Perform Analysis of Variance (ANOVA)
  • Learn where to use algorithms - Decision Trees, Logistic Regression, Support Vector Machines, Ensemble Techniques etc.
  • Use various packages in R to create fancy plots
  • Work on a real-life project, implementing supervised and unsupervised machine learning techniques to derive business insights
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Data Analytics with R Course Topics

Introduction to terms like Business Intelligence, Business Analytics, Data, Information, how information hierarchy can be improved/introduced, understanding Business Analytics and R, knowledge about the R language, its community and ecosystem, understand the use of 'R' in the industry, compare R with other software in analytics, Install R and the packages useful for the course, perform basic operations in R using command line, learn the use of IDE R Studio and Various GUI, use the ‘R help’ feature in R, knowledge about the worldwide R community collaboration.

The various kinds of data types in R and its appropriate uses, the built-in functions in R like: seq(), cbind (), rbind(), merge(), knowledge on the various subsetting methods, summarize data by using functions like: str(), class(), length(), nrow(), ncol(), use of functions like head(), tail(), for inspecting data, Indulge in a class activity to summarize data, dplyr package to perform SQL join in R

The various steps involved in Data Cleaning, functions used in Data Inspection, tackling the problems faced during Data Cleaning, uses of the functions like grepl(), grep(), sub(), Coerce the data, uses of the apply() functions.

Import data from spreadsheets and text files into R, import data from other statistical formats like sas7bdat and spss, packages installation used for database import, connect to RDBMS from R using ODBC and basic SQL queries in R, basics of Web Scraping.

Understanding the Exploratory Data Analysis(EDA), implementation of EDA on various datasets, Boxplots, whiskers of Boxplots. understanding the cor() in R, EDA functions like summarize(), llist(), multiple packages in R for data analysis, the Fancy plots like the Segment plot, HC plot in R.

Understanding on Data Visualization, graphical functions present in R, plot various graphs like tableplot, histogram, Boxplot, customizing Graphical Parameters to improvise plots, understanding GUIs like Deducer and R Commander, introduction to Spatial Analysis.

Introduction to Data Mining, Understanding Machine Learning, Supervised and Unsupervised Machine Learning Algorithms, K-means Clustering.

Association Rule Mining, User Based Collaborative Filtering (UBCF), Item Based Collaborative Filtering (IBCF)

  • Linear Regression
  • Logistic Regression
  • Anova
  • Sentiment Analysis

Decision Tree, the 3 elements for classification of a Decision Tree, Entropy, Gini Index, Pruning and Information Gain, bagging of Regression and Classification Trees, concepts of Random Forest, working of Random Forest, features of Random Forest, among others.

Analyze census data to predict insights on the income of the people, based on the factors like: age, education, work-class, occupation using Decision Trees, Logistic Regression and Random Forest. Analyze the Sentiment of Twitter data, where the data to be analyzed is streamed live from twitter and sentiment analysis is performed on the same.

Data Analytics with R Certification & Exam

Towards the end of the course you would be working on a live project. Once you successfully complete the project, you will be awarded with the Data Analyst with Specialization in R certificate.

Why choose our Data Analytics with R in Wellington, New Zealand?

Course Design

Based on years of experience in delivering effective professional training, our courses are designed not only to provide you the Data Analyst 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 Analytics concepts using R in real life.

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 and free of any errors.

Low Cost

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

Lifetime access

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

Most Popular

More than 20,000 satisfied learners have taken this course on Data Analytics with R.

Customer Satisfaction

We’re here 24/7 to ensure you’re heard and supported—no matter what questions or doubts you may have. Our team is committed to delivering exceptional customer service to every individual and organization we serve.

Data Analytics with R Training Frequently Asked Questions

Yes, we do offer additional discounts to group and corporate training customers. Please email us at support@encertify.com to find out more about our group discount offerings.

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.

Use the "Submit your query"section in this page or check "Contact Us" section. Alternatively, please send an email to support@encertify.com to find out more about our course offerings.

If you're unemployed right now, or you're a student taking this course for career growth, we do provide additional discounts for you on selected courses. Please email support@encertify.com to avail this benefit and discount coupon.

Note: These discounts are available on selected courses only.

We do not offer placement or placement assistance services at this time. However, our training is designed to equip you with in-demand skills, hands-on experience, and certification readiness to help you confidently pursue new career opportunities. Many of our learners have successfully transitioned into new roles or advanced in their careers based on the knowledge and certifications gained throughĀ ourĀ programs

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