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Why should I learn Data Science with R from Simplilearn?
- This course forms an ideal package for aspiring data analysts aspiring to build a successful career in analytics/data science. By the end of this training, participants will acquire a 360-degree overview of business analytics and R by mastering concepts like data exploration, data visualization, predictive analytics, etc
- According to marketsandmarkets.com, the advanced analytics market will be worth $29.53 Billion by 2019
- Wired.com points to a report by Glassdoor that the average salary of a data scientist is $118,709
- Randstad reports that pay hikes in the analytics industry are 50% higher than the IT industry
What are the course objectives?
The Data Science Certification with R has been designed to give you in-depth knowledge of the various data analytics techniques that can be performed using R. The data science course is packed with real-life projects and case studies.- Mastering R language: The data science course provides an in-depth understanding of the R language, R-studio, and R packages. You will learn the various types of apply functions including DPYR, gain an understanding of data structure in R, and perform data visualizations using the various graphics available in R.
- Mastering advanced statistical concepts: The data science training course also includes various statistical concepts such as linear and logistic regression, cluster analysis and forecasting. You will also learn hypothesis testing.
What will you learn in this Data Science course?
This data science training course will enable you to:- Gain a foundational understanding of business analytics
- Install R, R-studio, and workspace setup, and learn about the various R packages
- Master R programming and understand how various statements are executed in R
- Gain an in-depth understanding of data structure used in R and learn to import/export data in R
- Define, understand and use the various apply functions and DPYR functions
- Understand and use the various graphics in R for data visualization
- Gain a basic understanding of various statistical concepts
- Understand and use hypothesis testing method to drive business decisions
- Understand and use linear, non-linear regression models, and classification techniques for data analysis
- Learn and use the various association rules and Apriori algorithm
- Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering
Who should take this online Data Science training course?
There is an increasing demand for skilled data scientists across all industries, making this data science certification course well-suited for participants at all levels of experience. We recommend this Data Science training particularly for the following professionals:- IT professionals looking for a career switch into data science and analytics
- Software developers looking for a career switch into data science and analytics
- Professionals working in data and business analytics
- Graduates looking to build a career in analytics and data science
- Anyone with a genuine interest in the data science field
- Experienced professionals who would like to harness data science in their fields
Prerequisites: There are no prerequisites for this data science online training course. If you are new in the field of data science, this is the best course to start with.What Data Science projects will you work on during this course?
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
Our Learners
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The course helped me to improve my skill set and gain the confidence to handle the role of an analyst. I had a break in my career due to immigration policies and had utilized the time to learn new skills, which helped me get a new job faster.
Savish Dan
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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.
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Ty Multhaup Itin3D Consultant
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I have taken Simplilearn's Data Science course & will now be taking their CAPM program. This has helped me professionally and academically, & I recommend them to anyone.
Yune Leou-On Market Research and Monetization | Peanut Labs
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It 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."
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Saad Madaha Programmer Analyst III
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Excellent 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.
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Rodney Swann Senior Facility Manager at CBRE
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Level 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.
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Saad Madaha Programmer Analyst III - Cardiology Information Systems at New York-Presbyterian Hospital
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My 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.
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Rodney Swann Senior Facility Manager at CBRE
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Great experience with the provider, enjoyed learning, very helpful application, and staff support. Good start for mastering R, SAS, and Excel.
Sasa Stevanovic Member of the Network on Institutional Investors and Long-term Investment
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The trainer was extremely knowledgeable about the course content and provided in-depth explanations for all questions that were asked. Thanks to the Simplilearn team for all the support provided during the training process.
Ishanie Niyogi Associate at ICF
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My instructor, Rajneesh, made the class very interactive. He explained each topic with real-life examples and analogies. I sincerely thank him for the effort he is putting into making a difference.
Anubhav Ingole Project Management Officer (PMO)/Business Analyst
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- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.
