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Data Analytics with R Rated 4.0/5 based on 122 customer reviews

Data Analysis with R Training in Houston-TX, United States

Learn and polish your skills in techniques such as Predictive Analytics, Association Rule Mining and create your own functions, objects and packages

  • 30 hours of Instructor-led training
  • Beginner to Advanced level
  • Hands-on training
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Modes of Delivery

Key Features

30 hours of intensive mentoring
Engaging hands-on learning sessions
Acquire end-to-end knowledge on Data Analytics and R tools
Master core analysis concepts and apply in predictive data modeling
Enjoy the benefits of post-training assistance from our trainers
Get assistance from our trainers in implementing business analytics and mining techniques in real time projects

Description

Data Analytics training course

The open source programming language R has increased in popularity in recent years, and is now universally accepted by statisticians and data miners as the number one language for data science. R uses cutting-edge technology to manipulate data and create statistical models and charts that can be used for predictive modelling. It gives quick results and because it is open source, it is supported by a worldwide community of over two million users and developers. Zeolearn’s Data Analytics training will take you through the basics of this powerful language R. From the ground up, you will learn how to develop data for analysis and apply statistical measures to create data visualisations. By exploring the characteristics of data sets, you can analyse and achieve optimum results based on past data.

Data Analytics course at our institute will prepare you to handle complex, multifaceted projects and Data Analytics certification improves your career opportunities. Our academy also offers Data Analytics online coaching at affordable cost to the individuals who are not able to attend the classroom training. We have industry experts with great experience as trainers. Register now and prove your expertise to your potential employers.

Here’s what you will learn!

  • Learn to explore and visualize data and polish your skills in techniques such as Predictive Analytics, Association Rule Mining and much more
  • Derive meaning from custom created charts that are used to represent complex data, manipulate this data and create statistical models for predictive analysis
  • Learn to use R, not just as a statistical tool but to create your own functions, objects and packages

Is this course right for you?

Statisticians, Data Analysts, Business Analysts and professionals keen to learn more about the science and practice of data analysis using R, will benefit from this data analytics certification course.

What do you need to be familiar with?

  • Basic knowledge of a programming language such as Python or Java
  • A background in Mathematics will be beneficial

Curriculum

  1. R tools and their uses in Business Analytics
  2. Objectives
  3. Analytics
  4. Where is analytics applied?
  5. Responsibilities of a data scientist
  6. Problem definition
  7. Summarizing data
  8. Data collection
  1. Difference between R and other analytical languages
  2. Different data types in R
  3. Built in functions of R: seq(), cbind (), rbind(), merge()
  4. Subsetting methods
  5. Use of functions like str(), class(), length(), nrow(), ncol(),head(), tail()
  1. Steps involved in data cleaning
  2. Problems and solutions for Data cleaning
  3. Data inspection
  4. Use of functions grepl(), grep(), sub()
  5. Use of apply() function
  6. Coerce the data
  1. How R handles data in a variety of formats
  2. Importing data from csv files, spreadsheets and text files
  3. Import data from other statistical formats like sas7bdat and sps
  4. Packages installation used for database import
  5. Connect to RDBMS from R using ODBC and basic SQL queries in R
  6. Basics of Web Scraping
  1. Understanding the Exploratory Data Analysis(EDA)
  2. Implementation of EDA on various datasets
  3. Boxplots
  4. Understanding the cor() in R
  5. EDA functions like summarize()
  6. llist()
  7. Multiple packages in R for data analysis
  8. Segment plot HC plot in R
  1. Understanding on Data Visualization
  2. Graphical functions present in R
  3. Plot various graphs like tableplot
  4. Histogram
  5. Box Plot
  6. Customizing Graphical Parameters to improvise the plots
  7. Understanding GUIs like Deducer and R Commander
  8. Introduction to Spatial Analysis
  1. Introduction to Data Mining
  2. Understanding Machine Learning
  3. Supervised and Unsupervised Machine Learning Algorithms
  4. K-means Clustering
  1. Linear Regression
  2. Logistic Regression
  1. Decision Trees
  2. Algorithm for creating Decision Trees
  3. Greedy Approach: Entropy and Information Gain
  4. Creating a Perfect Decision Tree
  5. Classification Rules for Decision Trees
  6. Concepts of Random Forest
  7. Working of Random Forest
  8. Features of Random Forest

Frequently Asked Questions

This is the world of big data, and professionals who are well versed in data analysis and applied statistics are much sought after in companies across the globe. By discovering the important patterns in large quantities of data, companies can steer the direction of their work strategies and shape business success.R is a strongly functional programming language and environment that is used to statistically explore data sets. Increasingly popular in academia and industry circles, it has become the most important tool for statistical data science. This course gives a smooth transition into working with R, and gives you hands-on experience in working on a project that tests your knowledge and practical skills.
After completing our course, you will be able to:
  • Get a comprehensive understanding of the fundamentals of R
  • Know the steps needed to get started with R and the R Console
  • Have knowledge of Data types and Structures
  • Get an understanding of how to Explore and Visualize Data
  • Have familiarity with Programming Structures, Functions and Data Relationships
  • Get skills in techniques such as Predictive Analytics, Association Rule Mining and so on
Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will perform predictive analyses on the provided data using R programming language. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.
Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.
You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.
  • Your classes will be held online. All you need is a windows computer with good internet connection to attend your classes online. A headset with microphone is recommended.
  • You may also attend these classes from your smart phone or tablet.
Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

Data Analytics with R Course in Houston-TX

Introduction

Touted as the biggest job creator in the USA, the city of Houston the city ranks second on Fortune 500 company headquarters. The city is well known for its tall buildings, theatre, and energy industry.

About the course in the city

Data analytics is a service of business intelligence where one needs to understand the underlying structure of data. The data then, needs to be analysed and converted into valuable information that can be used by corporate executives and business managers. Therefore, the field is of utter importance and is in high demand today. Since it requires a special set of skills, there are many data analytics training courses in Houston, which will be a great addition to your current skillet and will help you with future prospects. One such data analytics certification in Houston is being offered by the Zeolearn academy that only well equips you with the knowledge of data analytics but also programming languages that help with its manipulation. The course is taught by our team of experts through live interactive lectures. In case you're not satisfied by their coaching methods, your whole fee would be refunded.

Zeolearn's data analytics courses in Houston starts off with the basics of data, its underlying structure and its behaviour. You're also taught various techniques of data mining, clustering, association rule mining, and predictive analysis. The data analytics courses in Houston also focuses on teaching the programming languages that help in my data like R. The R programming language is open source and is most sought after data manipulation services. The course will teach you its fundamentals and how to visualise data in the same. The course is designed to give you a thorough knowledge of the subject in a short period of time.

The data analytics certification in Houston makes use of explanatory data analysis that'll help you understand the underlying structure of the data and where it came from. Thus, you'll be able to visualise it properly and develop an intuition to predict the kind of investigation it needs in the future. Data analytics courses in Houston by Zeolearn are greatly focused on customer satisfaction and therefore, provide live sessions with expert tutors for the subjects. However, if you’re not satisfied by their methods, they will reimburse your cost of the entire course.

Here is what you learn

Our course offers

  • Understanding the structure of data and where it came from
  • Fundamentals of programming language R and how to visualise data in it
  • Develop an intuition to predict how data came into existence and what methods should be used to predict it further

Objective of the course:

  • Understand data analytics and its features
  • Learn how to manipulate and visualise data in R
  • Learn skills like data mining clustering techniques, regression, and predictive analysis

Highlights of the course:

  • Learn under experts with live tutorial sessions
  • Get enough hands-on experience with the help of assignments
  • The flexible schedules offer you to plan your classes well
  • You can see the recordings of the classes any time you want to in the future.

Is the course right for you?

People with the skill sets of data analysts, business analysts, and statisticians are best suited for the course as it helps them become more efficient at their day to day work. 

Prerequisites

Basic knowledge of Python or Java programming languages are a prerequisite for data analytics training in Houston. A background in mathematics serves as an added benefit. Enroll into this course, and excel in your career.

 

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