The Data Science with R Programming Course in Anantapur covers data visualization & exploration and predictive & descriptive analytics using the R language. Data Science with R Programming training in Anantapur teaches all about R packages, data structures in R forecasting, data import and export in R, statistical concepts, and cluster analysis.
The Data Science with R Programming Course in Anantapur gets you all equipped up for a career in Big Data Analytics, a market growing rapidly at 29.7% year-by-year to $40.6 billion by 2023, with analysts’ pay raises 50% higher than in IT functions. Data Science with R Programming training in Anantapur can accelerate your career.
Help Amazon, a US-based e-commerce company, improve its recommendation engine by predicting ratings for the non-rated products and adding them to recommendations accordingly.
Predict accurate sales for 45 Walmart stores, considering the impact of promotional markdown events. Check if macroeconomic factors have an impact on sales.
Provide Comcast, a US-based global telecom company, key recommendations to improve customer experience by identifying and improving problem areas that lower customer satisfaction.
IBM, a leading US-based IT company, wants to identify the factors that influence employee attrition by building a logistics regression model that can help predict employee churn.
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.
Upon successful completion of the Data Science with R Programming course in Anantapur, you'll be handed over a course completion certificate from Simplilearn.
It takes approximately 40 hours to successfully complete the Data Science with R Programming training in Anantapur.
The validity of the Data Science with R Programming training in Anantapur certificate from Simplilearn never expires.
You have a total maximum of three attempts to pass the Data Science with R certification exam. However, throughout the Data Science with R Programming course in Anantapur, Simplilearn provides you with guidance and support to help you crack the exam in one go!
Upon successful completion of the Data Science with R Programming training in Anantapur and pass the exam, you will be given the certificate via our Learning Management System. You can download the certificate or share it through email or Linkedin.
You can retry it immediately.
Yes, we do! We provide one practice test complementary with this Data Science with R Programming training in Anantapur to help you all get decked up for the actual certification exam. Try these free R Programming practice questions to help you better understand the kind of tests that are part of the curriculum.
My trainer was very engaging and knowledgeable. I liked her way of teaching - sharing notes and providing hands-on practical's within the training sessions. She also shared real-life examples, and a SWOT analysis during the stat test, which I thought was a fantastic idea. Project mentoring cleared all our doubts related to the project.
I enrolled in Simplilearn for an Online Self Learning course on Data Science with R Programming. The LMS interface is very user-friendly and the course material is lucid and easy to understand. I have enjoyed my learning experience with Simplilearn
The course material of the Data Science program was well designed for beginners. The presentations were precise and to the point. The mentors in the various sessions were helpful and kept close to the basics. The examples used mirror real life scenarios, hence are very useful. Finally, the members of the CD team were truly delightful!
I have enrolled in Data science with R from Simplilearn. It was a great experience. Their lab access was really helpful. If you are looking for a bright future in your career, go ahead and enroll yourself in online certification training courses for professionals from Simplilearn.
The data science certification training in Kukatpally includes ten real-life, industry-based projects. Successful evaluation of one of the following six projects is a part of the certification eligibility criteria.
Project 1: Products rating prediction for Amazon
Amazon, one of the leading US-based e-commerce companies, recommends products within the same category to customers based on their activity and reviews on other similar products. Amazon would like to improve this recommendation engine by predicting ratings for the non-rated products and add them to recommendations accordingly.
Project 2: Demand Forecasting for Walmart
Predict accurate sales for 45 stores of Walmart, one of the US-based leading retail stores, considering the impact of promotional markdown events. Check if macroeconomic factors like CPI, unemployment rate, etc. have an impact on sales.
Project 3: Improving customer experience for Comcast
Comcast, one of the US-based global telecommunication companies wants to improve customer experience by identifying and acting on problem areas that lower customer satisfaction if any. The company is also looking for key recommendations that can be implemented to deliver the best customer experience.
Project 4: Attrition Analysis for IBM
IBM, one of the leading US-based IT companies, would like to identify the factors that influence attrition of employees. Based on the parameters identified, the company would also like to build a logistics regression model that can help predict if an employee will churn or not.
Domain: Workforce Analytics
A nationwide survey of hospital costs conducted by the US Agency for Healthcare consists of hospital records of inpatient samples. The given data is restricted to the state of Wisconsin and relates to patients in the age group 0-17 years. The agency wants to analyze the data to research on the health care costs and their utilization.
The data gives the details of third party motor insurance claims in Sweden for the year 1977. In Sweden, all motor insurance companies apply identical risk arguments to classify customers, and thus their portfolios and their claims statistics can be combined. The data were compiled by a Swedish Committee on the Analysis of Risk Premium in Motor Insurance. The Committee was asked to look into the problem of analyzing the real influence on the claims of the risk arguments and to compare this structure with the actual tariff.
A high-end fashion retail store is looking to expand its products. It wants to understand the market and find the current trends in the industry. It has a database of all products with attributes, such as style, material, season, and the sales of the products over a period of two months.
The web analytics team of www.datadb.com is interested to understand the web activities of the site, which are the sources used to access the website. They have a database that states the keywords of time in the page, source group, bounces, exits, unique page views, and visits.
An education department in the US needs to analyze the factors that influence the admission of a student into a college. Analyze the historical data and determine the key drivers.
A UK-based online retail store has captured the sales data for different products for the period of one year (Nov 2016 to Dec 2017). The organization sells gifts primarily on the online platform. The customers who make a purchase consume directly for themselves. There are small businesses that buy in bulk and sell to other customers through the retail outlet channel. Find significant customers for the business who make high purchases of their favorite products.
The course also includes 4 more projects for you to practice.
Details of listener preferences are recorded online. This data is not only used for recommending music that the listener is likely to enjoy but also to drive a focused marketing strategy that sends out advertisements for music that a listener may wish to buy. Using the demographic data, predict the music preferences of the user for targeted advertising.
Domain: Music Industry
You’ll predict whether someone will default or not default on a loan based on user demographic data. You’ll perform logistic regression by considering the loan’s features and the characteristics of the borrower as explanatory variables.
Analyze the monthly, seasonally-adjusted unemployment rates for U.S. employment data of all 50 states, covering the period from January 1976 through August 2010. The requirement is to cluster the states into groups that are alike using a feature vector.
Flight delays are frequently experienced when flying from the Washington DC area to the New York City area. By using logistical regression, you’ll identify flights that are likely to be delayed. The provided dataset helps with a number of variables including airports and flight times.
According to TeamLease, a staffing solutions company, a data scientist with an average working experience of about 5 years has the potential to earn about 75 lakhs per annum, while CAs with the same level of experience earn about 8-15 lakhs and engineers earn 5-8 lakhs. If this salary trend is anything to go by, then the demand for data professionals has never been higher.
In 2017, a report by Analytics India Magazine highlighted the rising trend of data-oriented jobs. According to this report, the number of Data Science jobs in India almost doubled in 2017, and over 50,000 positions are yet to be filled. With regard to Indian cities, Kukatpally, Bangalore holds the title of having the highest number of analytics jobs in India. In 2017, over 15% of all analytics jobs originated in Kukatpally. According to Gartner, the self-learning (ML-powered) intelligent systems will continue to reign supreme in the technology marathon through 2020.
Several companies in Kukatpally are on the lookout for R Certified Data Scientists. According to Naukri, some of the top companies looking out for Data Science professionals in Kukatpally are Tatvic, IQM Corporation, Rapidops INC, Accenture, SAP Labs, and Deloitte.
According to Payscale, Data Science professionals in Kukatpally can earn an average of 5 lakhs per year. However, a certified data science professional with experience can earn up 9 lakhs per annum.
R is a programming language and free software developed in 1993, made up of a collection of libraries architectured especially for data science. As a tool, R is considered to be clear and accessible.
Data Science is one of the popular career domains among professionals that offers high earning potential. It mostly comprises statistics and R is the bridging language of this domain and is widely used for data analysis. By learning R programming, you can enter the world of business analytics and data visualization. It is a must-have skill for all those aspiring to become a Data Scientist.
Anyone who is looking to get started in IT or willing to further their IT career should consider learning R. We at Simplilearn have compiled an extensive content for Data Science beginners, along with supporting blogs and YouTube videos to help you understand the Data Science basics and importance of R in the dynamic field of data science.
R and Python are the top languages that professionals learn to start a career in Data Science. Both languages are powerful and have their own pros and cons. So, depending on which language is used for data science projects in your organization and what can help you in the long run, you can make a choice.
Simplilearn also provides Data Science with Python course which builds a strong foundation in data science and imparts all the valuable skills that employers look for in a data scientist.
Yes, Simplilearn’s training and course materials guarantee success with the Data Science with R certification exam.
Online classroom training for Data science with R certification course is conducted via online live streaming of each class. The classes are conducted by a Data Science certified trainer with more than 15 years of work and training experience.
You will need to download R from the CRAN website and RStudio for your operating system. These are both open source and the installation guidelines are presented in the R course curriculum.
All of our highly qualified R course trainers are industry Data Science experts with at least 10-12 years of relevant teaching experience. Each of these R programming certificate course trainers has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.
We record the R training sessions and provide them to participants after the session is conducted. If you miss a class, you can view the recording before the next class session.
You can enroll in this Data Science with R certification training on our website and make an online payment using any of the following options:
Once payment is received you will automatically receive a payment receipt and access information via email.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in R programming in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.
We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your R training with us.
*The projects have been built leveraging real publicly available data-sets of the mentioned organizations.