Data Science with R Programming Training in Manila, Philippines

R Certification Training FAQs

• What is R programming?

  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.

• Why should I learn R programming?

  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.

• How do beginners learn R online?

  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.

• Can I learn Data Science with R online?

  Learning methodologies have evolved tremendously with the influx of new technology. These changes have increased the ease and efficiency of learning on your terms. Simplilearn's Data Science with R Certification training provides live classes and round-the-clock access to study materials with the help of our learning management system. Our extensive collection of blogs, tutorials, and YouTube videos will help you brush up on the concepts. Even when your class ends, we provide a 24/7 support system to help you with any questions, concerns, or difficulties you may have.

• Why should I learn Data Science with R from Simplilearn?

  • This Data Science course in Manila, Philippines forms an ideal package for aspiring data analysts aspiring to build a successful career in analytics/data science. By the end of the Data Science certification 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 course in the Philippines has been designed to give you in-depth knowledge of the various data analytics techniques that can be performed using R. The Data Science training is packed with real-life projects and case studies.

  • Mastering R language: The Data Science certification provides an in-depth understanding of the R language, R-studio, and R packages. You will learn the various types of applications 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 online certification 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 in Manila, Philippines?

  This Data Science course in Manila, Philippines 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 Rcour
  • 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 certification course in Manila, Philippines?

  There is an increasing demand for skilled data scientists across all industries in Manila, making this Data Science course in the Philippines well-suited for participants at all levels of experience. We recommend this Data Science certification 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. If you are new in the field of data science, this is the best course to start with.

• What projects will you work on during this Data Science training in Manila, Philippines?

  The Data Science training in Manila, Philippines 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 the 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 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 a 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

• What are various Data Science related job offers available in the Philippines?

  Data Science jobs in Manila are present a dime a dozen, which spells good news for professionals. A quick search on Bayt will tell you that over 2600 big data jobs in the Philippines are posted on this platform alone. With an R certificate, you could choose from various designations. Here’s a list of Data Science roles in Manila: 

  • Data analyst
  • Data scientist
  • Machine Learning Expert
  • Data Engineer
  • Data Architect
  • Business Intelligence Analyst

• What is the market trend for Data Science in the Philippines?

  According to Payscale, a data scientist with an average working experience of about 5 years has the potential to earn about Philippine Peso 884K per annum, while CAs with the same level of experience earn about Philippine Peso 600K and engineers earn Philippine Peso 450K. 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 the Philippines almost doubled in 2017, and over 50,000 positions are yet to be filled. With regard to Philippines cities, Manila holds the title of having the highest number of analytics jobs in the Philippines. In 2017, over 25% of all analytics jobs originated in Manila. According to Gartner, the self-learning (ML-powered) intelligent systems will continue to reign supreme in the technology marathon through 2020.

• What are the top companies offering Data Scientist jobs in Manila?

  Several companies in Manila are on the lookout for R Certified Data Scientists. According to ManilaRecruitment.com, some of the top companies looking out for Data Science professionals in Manila are Appcentric Solutions Inc, DataSpark Pte Ltd, Emapta Versatile Services Inc, Ninja Van, IBM Solutions Delivery INC, SG Interactive, Inc. and many more.

• What is the average salary for R Certified Data Scientist in Manila?

  According to Payscale, Data Science professionals in Manila can earn an average of Philippine peso 884K per year. However, a certified data science professional with experience can earn up Philippine peso 1M per annum.

• Is this Data Science certification course in Manila suitable for freshers?

  Yes, the Data Science certification course in Manila is suitable for freshers, and this course makes you an expert in data analytics using the R programming language.

• What is the price of the Data Science certification course in Manila?

  The price of the Data Science certification course in Manila is $799.

• In which areas of Manila is the Data Science certification course conducted?

  No matter which area of Manila you are in, be it Makati City, Taguig City, Muntinlupa City anywhere. You can access our Data Science course online sitting at home or office.

• Do you provide this Data Science certification training in Manila with placement?

  No, currently, we do not provide any placement guarantee with the Data Science course.

• Why do I need to choose Simplilearn to learn Data Science in Manila?

  Simplilearn provides instructor-led training, lifetime access to self-paced learning, training from industry experts, and real-life industry projects with multiple video lessons.

• Should I learn R or Python programming for a Data Science career?

  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.

• Are the training and course material effective in preparing me for the Data Science with R certification exam?

  Yes, Simplilearn’s training and course materials guarantee success with the Data Science with R certification exam.

• What is online classroom training?

  Online classroom training for 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.

• What are the system requirements?

  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.

• Who are our instructors and how are they selected?

  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 them 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.

• What training formats are used for this R course?

  We offer this Data Science with R training in the following formats:
  
  Live Virtual Classroom or Online Classroom: With online classroom training, you have the option to attend the R course remotely from your desktop via video conferencing. This format reduces productivity challenges and decreases your time spent away from work or home.
  
  Online Self-Learning: In this mode, you’ll receive lecture videos that you can view at your own pace.

• What if I miss a class?

  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.

• Can I cancel my enrollment? Will I get a refund?

  Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.

• Are there any group discounts for classroom training programs?

  Yes, we offer group discounts for our online training programs. Get in touch with us over the Drop us a Query or Request a Callback or Live Chat channels to find out more about our group discount packages.

• How do I enroll for this Data Science with R certification training?

  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:

  • Visa Credit or Debit Card
  • MasterCard
  • American Express
  • Diner’s Club
  • PayPal

  Once payment is received you will automatically receive a payment receipt and access information via email.

• I’d like to learn more about this Data Science with R course. Whom should I contact?

  Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives can provide you with more details.

• What is Global Teaching Assistance?

  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.

• What is covered under the 24/7 Support promise?

  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.

• *Disclaimer

  *The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

• What is the recommended learning path after completing Data Science with R Programming certification course?

  You can either enroll in our Data Scientist Course or if you are looking to get a University certificate, you can enroll in the Post Graduate Program in Data Science.