Become an expert in data analytics using the R programming language in this data science certification training course in Washington, D.C. You’ll master data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language. With this data science course, you’ll get hands-on practice by implementing various real-life, industry-based projects in the domains of healthcare, retail, insurance, and many more.
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For Self-Paced Learning :
Raise refund request within 7 days of purchase of course. Money back guarantee is void if the participant has accessed more than 25% content.
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Raise refund request within 7 days of commencement of the first batch you are eligible to attend. Money back guarantee is void if the participant has accessed more than 25% content of an e-learning course or has attended Online Classrooms for more than 1 day.
What is Flexi Pass?
The data science certification course 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.
Domain: E-commerce
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.
Domain: Retail
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.
Domain: Telecom
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
Project 5:
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.
Domain: Healthcare
Project 6:
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.
Domain: Insurance
Project 7:
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.
Domain: Retail
Project 8:
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.
Domain: Internet
Project 9:
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.
Domain: Education
Project 10:
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.
Domain: E-commerce
The course also includes 4 more projects for you to practice.
Project 11:
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
Project 12:
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.
Domain: Finance
Project 13:
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.
Domain: Unemployment
Project 14:
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.
Domain: Airline
After successful completion of the Data Science - R Programming training, you will be awarded the course completion certificate from Simplilearn.
No, this course is not officially accredited.
To pass the Data Science - R Programming course, you must:
It will take about 40 hours to complete the certification course successfully.
You have a maximum of three attempts to pass the Data Science - R Programming certification exam. Simplilearn provides guidance and support for learners to help them pass the exam.
The Data Science - R Programming course certification from Simplilearn has lifelong validity.
Upon successful completion of the course and passing the exam, you will receive the certificate through our Learning Management System which you can download or share via email or Linkedin.
Yes. We do offer a money-back guarantee for many of our training programs. Refer to our Refund Policy and submit refund requests via our Help and Support portal.
You can re-attempt it immediately.
Yes, we provide 1 practice test as part of our course to help you prepare for the actual certification exam. You can try this free Data Science Foundations with R Practice Test to understand the type of tests that are part of the course curriculum.
I took the R, SAS and Excel Course for Data Analytics. I was out of the workforce for a few months and had a background in statistics but I needed to refresh some skills before applying for jobs. Overall, the course was very strong. I liked how it was straight to the point without any bells and whistles. It often focused on concepts and the broader picture of learning. It spanned in complexity so one can kind push themselves to continue investing themselves in the subject matter at their own pace. They seem to really care that you want to learn and help you get there. In terms of ease of use and customer service Simplilearn was very strong. It is a matter of simply clicking your course and learning. The support team was great and responded to all my questions via live chat quickly, nicely, and easily. If I had one comment, I would say indicate on your settings when your course runs out. I also had trouble some trouble navigating screams on my surface pro but that was all minimal compared to the benefits. Would definitely recommend.
Read more Read lessSimplilearn has been a great help for me in my professional and academic progress. I have enjoyed taking their courses and can recommend them to anyone. Currently I have taken their Data Science course and I will now be looking into taking their CAPM program. Their tutors are also top-notch.
Read more Read lessIt was Great!!! My tutors were phenomenal. I took a project overview class and it really helped sharpened my approach on how I world present my final project. The class has been great. I’ve done some self-study on Data Science but then realized that taking it as a course with experts would add some substance to my learning curve.I must admit that my decision to take it with Simplilearn has been the right choice. There is so much detail and hands-on practice in R, SAS and Excel in these classes during the training session. I continue to refresh my reading and benefit from group discussions from SimpliLearn. I’ll absolutely recommend to anyone to give it a try and take one class, and I promise you’ll get more than you expect in content and value."
Read more Read lessExcellent instructor with the ability to provide real world experience and insights. Emphasis on the tools along with practical and useful insights. It is not an easy course for those without programming experience, but it does take away some of the mystery and confusion associated with using these tools.
Read more Read lessLevel of granularity. Tutor knowledge. Class size. Tutor's confidence, subject knowledge, and high level of commitment to student understanding of the material. Tutor assisted students who had issues with SAS installation. Great Tutor-Student interaction.
Read more Read lessMy instructor is obviously a Pro at what she does. I wish I had someone around like her to mentor me when I was younger. Some of the technical aspects of the course are a little challenging, but the concepts for doing what is being taught is becoming clear to me. I hope this will make all the difference as I delve into the coursework even more.
Read more Read lessI really loved the way Shubham elaborates the concepts, how he starts from the basics and then gradually picks up the pace.
I believe that Simplilearn is one of the best online platforms for learning. I completed my Data Scientist course from Simplilearn and had a wonderful experience. The technical support was really great and I could get my labs up and running in a very short span of time. The course content was also really good, covering in-depth and also the projects, where one could easily apply the concepts learned.
Read more Read lessI enrolled in Simplilearn for an Online Self Learning course on Data Science Certification Training - 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
Read more Read lessWe record the class 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.
Submit a request to Simplilearn through any of following channels: Help & Support, Simplitalk, or Live Chat. A teaching assistant will get in touch with you within 48 hours.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified 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 course with us.
Online classroom training for Data Science Certification 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.
If you enroll for self-paced e-learning, you will have access to pre-recorded videos. If you enroll for the online classroom Flexi Pass, you will have access to live training conducted online as well as the pre-recorded videos.
Yes, Simplilearn’s training and course materials guarantee success with the Data Science - R Programming certification exam.
After successful completion of the Data Science - R Programming Certification training, you will be awarded the course completion certificate from Simplilearn.
* The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
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.
Simon is a Data Scientist with 12 years of experience in healthcare analytics. He has a Master’s in Biostatistics from the University of Western Ontario. Simon is passionate about teaching data science and has a number of journal publications in preventive medicine analytics.
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