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Edureka did a great job training our employees for an upcoming Application Development project. The classes were very well paced and flexible for the crazy work schedule of our employees. I am very impressed and highly recommend Edureka.
Abhishek Vinod Singh, CEO DbyDx Pvt. Ltd. San Francisco Bay Area
Edureka aptly named gives the students a "Eureka" Moment during the course. Learning is a world to explore and Edureka provides us with the navigation maps. I never for a minute felt that I am doing this course online away from the faculty and the staff.
Edureka has redefined the e-learning service with the help of technology. They have excellent faculty and support team that has given a real class room learning experience. Anybody can upgrade their skills at their convenience! Edureka has expertise in Big Data Analytics and they are providing opportunity to acquire these skills in a short time!
Chandra Bhushan K, IT Consultant, Architect - Analytics in Karmanya Software Pvt Ltd, Hyderabad Area, India
edureka! is efficiently able to provide effective e-learning for Big Data. All the required material for learning is kept online in the Learning Management System (LMS) along with the recordings of class so that we can refer back any part of the class. Also, edureak! 24x7 support is very helping and prompt in its service. Thanks edureka! for providing great and effective way of learning.
Vishal Pawar, PMP Certified, Lead Consultant, HCL Technologies Ltd. Mumbai Area, India
A very good course covering lots of topics. Excellent class delivery and lecture notes. I really learnt a lot and will surely miss not having the classes any more. I will definitely keep in touch with edureka! and my instructor through LinkedIn and emails. I would also like to convey my special thanks to the edureka! support team for their prompt technical support that is available 24/7 and for their awesome Learning Management System (LMS) on the website with all the class recordings and the material.
Sarvani Kare, Sr. Software developer, Lockheed Martin Information Technology, Baltimore, Maryland Area
Thanks for the support and help done by edureka! The only word for training is "Awesome". The excellent post class support and training methodology are icing on the cake.
Avinash Sathyanarayana, BCA, Diploma in Building Designer, Android Application Developer, MBA(Finance)
I am App-savvy guy, who used to make Orkut, Facebook, php apps. Thanks to edureka.in and their online support who helped me to turn my hobby of Android app making to the professional level. From early 2010 I used to create android apps with some online resources that won't allow me to monetize apps or create custom apps as per my needs and my ideas. Now I am happy because after joining edureka.in I can create what I wanted to make and happy to serve lots of free and useful apps to the community as a profession.
Prashant Patil, Entrepreneur,
WebMaster & Web Developer
The unique combination of Online Classes with 24*7 On-Demand Support and class recordings/ppt/docs etc in Learning Management System (LMS) on the site made me fall in love with edureka! There could not be a better Android Training Avenue to quench my thirst for learning Android Development.
Zakir Khan, Senior Associate, Syntel, Thane, Maharashtra, India
There is a plethora of online training material available for Android; the reason I chose Edureka is the rare combination of great instructors, comprehensive course material . The course has a clear direction, which is perfect for efficiency-oriented professionals like us! What differentiates Edureka’s training from numerous other Android trainers is that they bring a lot of corporate experience on the table, and that is evident in their teaching techniques.
Thank you Team edureka! for helping me learn Android Development. The best thing about edureka! is the super-supportive training team. They are there to guide you at every step, 24/7. In fact, it was the passion of the trainers that inspired in me a whole new energy, while developing my first Android application.
Suraj Shukla, B.E(Information Technology), 4th year 7th sem, Institute of Information Technology and Management, Gwalior
Thanks a lot for your Android course. Right from the point of the start of the demo class, until the end of the complete course, the ride has been truly joyous and full of learning I had no insight into Android development but with the help of your excellent instructor, I now stand a chance to explore wider into this. The webinars were truly awesome. Live Online sessions were highly interactive. The edureka! methodology for OnLine classes has changed the way I look at webinars now. Plus point is the knowledgeable course material. I am falling short of words describing the great experience of my Android training at edureka!. Thanks Team edureka!
I never hoped that I can learn through an online course, but after completing the Android Dev course from edureka!, I realized that it is indeed possible if the methodology is appropriate. The best thing about edureka! is 24x7 support which makes the overall learning experience better than a classroom training environment. In edureka!, I can attend classes from my drawing room located anywhere in the world. I can opt for extra classes in case of missed sessions in an another batch, also the class recordings are always available in the feature rich Learning Management System (LMS).
Saurabh Khamar, Final year (BSC),
Nalanda College, Vijaywada, Andhra Pradesh
I attended the demo session without any intention of joining a course. But the demo class was so impressive that I changed my mind to take a class with edureka. In the demo class the edureka! team making their word true with assisting doubts as well as teaching good. It's the best place to learn Andorid with 24*7 post class support from technical experts and at a affordable cost. Thank You Team edureka!
Gopinath, SAP Architect Consultant, IBM India Pvt Ltd, Bengaluru, Karnataka, India
I had a great experience learning Android Development 'online' with Team Edureka. The great support, light atmosphere and answering every question never made me miss blackboard, chalk and duster. Recorded sessions and 24*7 support are really good advantages and helps learning easy without any limitations on timings.
Aman Chawla, Project Trainee, Managed Services, TeleDNA Communications Private Limited, Gurgaon, India
Edureka's Training helped me very much in learning Android Application Development. The Teaching Staff and the Teaching Style is excellent. I Thanks Edureka and My Teachers for this Wonderful teaching.
Monark Unadkat, Student, XI Science, CBSE
Kendriya Vidyalaya No.1, Ahmednagar
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Business Analytics with R
Online Classes: 24 Hrs
Lab Hours: 30 Hrs
Project: 25 Hrs
Online Classes: 24 Hrs
There will be 12 instructor led Interactive online classes during the course. Each class will be of approximately 2 hours and will happen at the scheduled time of the batch you choose. You have the flexibility to reschedule your class in a different batch if you miss any class. Class recordings will be uploaded in the LMS after the class. The access to class recordings is Lifetime.
Lab Hours: 30 Hrs
During the classes various hands-on will be shown on different datasets. Each class will be followed by practical assignments which can be completed before the next class. These assignments will help you to groom different consistent as well as faulty datasets. Our 24x7 expert support team is available to help through email, phone or Live Support for any issues you may face during the Lab Hours.
Project: 25 Hrs
Towards the end of the course, you will be working on a project where you be expected to implement Data Import, Manipulation, Exploration, and so on and finally visualise the analysis. You may select any project topic as per your choice.
You get a lifetime access to the Learning Management System (LMS). All the class recordings, installation guides, class presentations, sample codes, project documents are available in downloadable format in the LMS and your login never expired.
We have 24x7 online support team available to help you with any technical queries you may have during the course. All the queries are tracked as tickets and you get a guaranteed response from a support engineer. If required, the support team can also provide you live support by accessing your machine remotely. This ensures that all your doubts and problems faced during labs and project work are clarified round the clock.
Towards the end of the course, you will be working on a project. Edureka certifies you as a Data Scientist based on the project reviewed by our Expert Panel and a Practical online exam. Anyone certified by Edureka will be able to demonstrate practical expertise in Business Analytics and R Programming.
This is a 6-week course for professionals who aspire to learn ‘R’ language for Analytics. Practical approach of learning has been followed in order to provide a real time experience and make you think like an analyst. Our course will cover not only the basic concepts but also the advanced concepts like Data Visualization, Data Mining, Model Building in R, Web Analytics and so on.
After the completion of ‘Business Analytics with R’ at Edureka, you should be able to:
Understand the fundamentals of ‘R’.
Learn how to transit from existing software in analytics into an ‘R-based’ system at zero cost.
Get a broad insight into analytics and acquire skills in methodologies and techniques.
Get familiar with data science as a career option with practical knowledge.
Who should go for this course?
This course is meant for all those students and professionals who are interested in working in industry analytics and are keen to enhance their technical skills with exposure to cutting-edge practices. This is a great course for all those who are ambitious to become ‘Data Scientists’ in near future!
The pre-requisites for learning ‘Business Analytics with R’ include basic mathematics and good analytical skills. The good news is that - as this is an applied course, the focus will be on real-world case studies rather than just the theory.
Why Learn Business Analytics with R?
Business Analytics with R at Edureka will prepare you to:
● Learn R programming language and use it in analytical projects including multiple
industrial domains and scenarios.
● Become an R user and learn to think like a data scientist/business analyst.
● Get exposure into the latest analytics techniques including forecasting, social network
analytics, and text mining.
● Add-on to your existing analytics knowledge and methodology.
● Acquire advanced knowledge of analytics in web analytics, social media analytics and
About this Course :
This 6-Week 'Business Analytics with R' course is designed for all those who are keen to get into analytics and become future Data Scientists.
Course Highlights :
● The course is based on Edureka's Project Based Learning Approach.
● 2-hour Interactive Live Online Classes are conducted every weekend.
● The instructors are highly experienced Industry Experts.
● Our 24x7 support feature is the best thing you get from this course! Just request for a one-to-
one session and a highly qualified expert will be dedicated to resolve your query anytime
Recorded sessions of all the classes will be provided to you.
● There will be real world case studies to re-enforce your understanding.
● Flexibility of attending the classes from home, rescheduling the classes and taking a repeat
session is given to you.
How soon after Signing up would I get access to the Learning Content?
As soon as you enroll to the course, your LMS (The Learning Management System) Access will be Functional.
You will immediately get access to our course content in the form of a complete set of previous class recordings, PPTs, PDFs, assignments and access to our 24x7 support team.
You can start learning right away.
Who are the instructors?
All our instructors are working professionals from the Industry, working in leading organizations and have real world experience in Hadoop. All these folks are experienced and trained by Edureka for providing online training so that they can provide a great learning experience.
What softwares are required to be installed in my system to do the Practicals on R?
For doing your Practicals during this course, you would need to install R-Studio, which is the IDE for R and R Commander in your system.
Our 24*7 team support shall help you do the same.
When Are the classes held and How many hours effort would I need to put in every week?
Your Live classes will be on Saturdays and Sundays every week for 6 weeks.
You can do the practicals at your own schedule with the help of our 24x7 support team.
Towards the end of the 6 week schedule, you will undergo a training project and 2 hours in your Online Exam at the end of the course.
What if I miss a class?
In no event you will lose a lecture forever. The recorded session for the class will be available on the LMS for your reference.
We also have a 24x7 support, so in case you need any clarification on concepts or help in debug or installation etc., the support team will help you on it.
Moreover, you can also choose to attend the Live class again with a different Batch.
How can I request for a support session?
Requesting for a Support session is a very simple process. As soon as you join the course, you will be assigned a point of contact from the support team. His/her contact number, email ID etc. will be available on your LMS. Just an Email, a phone call or a text message will solve the purpose.
What If I have queries after I complete this course?
Once you join the course, your support will be for a life time. Even after the course completion, you can get back to the support team for any queries that you may have.
Can I get the recorded sessions of a class from some other batches before attending a live class?
Yes, this can be done. Moreover, this ensures that when you will start with your actual Batch, the concepts explained during the classes will not be totally new to you. Because you would have already done some preparation at your end, you will be in the position to ask the right questions and get the most out of the course.
How will I get the recorded sessions?
All your class recordings and other content like PPT’s and PDF’s etc. are uploaded on the LMS, to which you have a life time access. You may also choose to download this content for offline reference.
How can I download the class videos?
Classes will be hosted on our streaming server. You can buffer the class videos or download if you wish to.
Is the course material accessible to the students even after the course training finishes?
All the classes are recorded and the recordings are shared with the participants in a downloadable format. The other materials like PPTs, project docs, sample codes, etc are hosted in our Learning Management System (LMS) and you have a lifetime access to that. You can even download the content and use it for offline viewing.
Will I be working on a Project?
Yes, towards the end of the Course, you will be working on a Training project. This will help you understand how the different components in 'Business Analytics with R' are related to each other and how is the data flow between the different components.
Do you provide any Certification? If yes, what is the Certification process?
Yes, we provide our own Certification. At the end of your course, you will work on a real time Project. You will receive a Problem Statement along with a data-set to work.Once you are successfully through the project (Reviewed by an expert), you will be awarded a certificate with a performance-based grading.If your project is not approved in 1st attempt, you can take extra assistance for any of your doubts to understand the concepts better and reattempt the Project free of cost.
What if I am not able to clear the Certification exam in 1st attempt?
If you are not able to clear the Certification exam in 1st attempt, you can take extra assistance for any of your doubts to understand the concepts better and reappear for the Certification exam.
Do I need to pay for the Re-Attempt of the Certification exam?
No, there is no extra charge for Reattempting the Certification Exam.
Are these classes conducted via LIVE video streaming?
Yes, the classes are conducted via LIVE Video Streaming, where you can interact with the instructor by speaking, chatting and sharing your screen. You can go through our sample class recording available above. This would give you a clear insight about how the classes are conducted, quality of instructors and the level of Interaction in the Class.
What internet speed is required to attend the LIVE classes?
1Mbps of internet speed is recommended to attend the LIVE classes. However, we have seen people attending the classes from a much slower internet.
What are the payment options?
You can pay by Credit Card, Debit Card or Netbanking from all the leading banks. We use a CCAvenue Payment Gateway. For USD payment, you can pay by Paypal.
edureka! has done an excellent job in teaching us R! I thoroughly enjoyed the classes, these classes are completely different than routine classroom sessions in a good way. After attending these classes, you will realize the big difference between learning directly from an industry expert and learning from an Instructor with no or negligible industry experience. I am looking forward to do my project and certification exam post my project submission. Many thanks to R instructor and edureka!
Very good and well presented R course. Trainer has a personable style reassuring online participants to learn well which is unique. This helps to learn quickly. Keep it up. Support staff, thanks for your unstinting 24*7 support. Overall very well executed classes.
Ravi Chintamani, Program Manager, SAP Supply Chain, Functional Expert at Tech Mahindra
Instructor very kindly replied to our questions with real time scenarios. This actually helped us to understand the concepts quickly.
Detailed discussion on the topic in the virtual classes, which helped in developing the basics correctly. All this with awsome 24*7 support. Great work edureka!
Rahul RK, Senior Consultant with Bristlecone, New Delhi Area, India
Great Session. The class went very smoothly as the instructor was very knowledgeable and insightful of the topic.
Abhishek Swarup ,
The instructor is very good, has good command on the subject, he interacted with all the attendees very well. I liked the session and I think it will be very helpful. Awsome Support! Partha Borah ,
Class was good. Ajit Sovani ,
Edureka Certification Process:
At the end of your course, you will work on a real time Project. You will receive a Problem Statement along with a data-set to work.
Once you are successfully through the project (Reviewed by an expert), you will be awarded a certificate with a performance-based grading.
If your project is not approved in 1st attempt, you can take extra assistance for any of your doubts to understand the concepts better and reattempt the Project free of cost.
Introduction to Business Analytics, Data Science and R
Learning Objectives -
At the end of this chapter, you will be able to install R and packages which are going to be used for the course. You will also learn how 'R' is being used in the industry (by Oracle, SAP, Google, Facebook, IBM and Revolution Analytics) and also get exposed to various GUI (like Rattle, Deducer, R Commander). You will learn how to use the IDE R Studio and various ways to use the R help (including calling up existing R Documentation, CRAN Views, and R Help Email lists). You will also be introduced to how the worldwide R community collaborates including the #rstats hashtag on Twitter, Stack Overflow, RBloggers, Conferences and using Github.
Business Problems, Data used by Various Business Domains (Telecom, Finance, Pharma, Retail, Online), Decision Management based on data, Spreadsheet vs Analytics, Type of Business Analytics including descriptive and predictive analytics, Installation of R, CRAN and Views, updating R, packages and dependencies, Github, assigning objects, using R as a calculator, functions, using help from within R, Email Groups, #rstats, Stack Overflow, Introduction to Deducer, Rattle, R Commander, Deducer Plugins, R Commander Extensions, R Studio, Revolution Analytics, Oracle R Enterprise, SAP Hana with R, IBM Netezza with R, R Community
Understanding Data Import and Data Quality in R
Learning Objectives -At the end of this module, you will be able to import data from multiple formats into R and check it for accuracy. You will come across various steps for checking data quality and refining it. You will also learn how to import data from existing statistical formats like SPSS and SAS7BDAT. This is important as data quality can be a critical and time consuming part of an analytical project. You will also compare and contrast data import for command line versus Graphical User Interfaces.
Topics -Data import using text files, spreadsheets, databases, GUIs, APIs, web data, SAS and SPSS data formats using various R packages including str, names, plot, head, tail, sample, read, table functions and foreign, sas7bdat, RODBC packages, Introduction to using XML, RCurl and rjsonio packages.
Understanding Data Manipulation in R
Learning Objectives -
At the end of this chapter, you will be able to create new datasets, new variables and create desired data shapes. You will come across the tremendous flexibility with which R can deal with data formats (lists, matrix, data frames) and variety (numeric, character, date time), and how to convert one data object to another.
Topics -Data manipulation to achieve desired quality and shape of data for analysis, apply functions, aggregate, reshape, is.NA, missing value treatment, creating new variables, subset, using square brackets for selection, conditional selection using AND and OR Conditions, using substr, gsub, difftime, cut functions, paste and as operator, Introduction to various R packages lubridate, stringr and plyr.
Understanding Exploratory Data Analysis in R
Learning Objectives -At the end of this chapter, you will be able to use R for basic analysis. The exploratory data analysis will look at functions and packages for numerical summary and analysis, and how to slice and dice data according to requirements. You will learn data analytics techniques including distribution analysis and understanding correlation between variables.
Topics -Structure of data object, aggregation and summary, exploring outliers, understanding the analytical approach, using summary, describe, mean, std, median, min, max, quartile, boxplot and hist functions, and Hmisc package.
Understanding Data Visualization and Spatial Analysis
Topics -Basics of Data Visualization and Visual Aesthetics, Different kinds of graphs (scatterplot, hexbin, lineplot, sunflowerplot, table plot, barplot, pie chart, heatmap, histogram with density, violin plots, adding rug to plots), customizing graphics including color palettes and R Color Brewer, using facets to slice and dice data, using basic and advanced R packages and GUI Deducer, Spatial Analysis, making a 3D plot in R Commander, Shiny Package and D3 Examples.
Understanding Data Mining
Learning Objectives -At the end of this module, you will be able to use R for data mining using various techniques including clustering, decision trees, ensemble models, association analysis using the GUI RATTLE. You will be exposed to examples from various data mining methodologies. The learner will also be introduced to SEMMA, CRISPDM and KDD concepts. Various clustering techniques including k means and hierarchical clustering will be learnt. The learner will also be exposed briefly to neural networks and ensemble models.
Topics -Conceptual introduction to SEMMA, CRISPDM and KDD, Introduction to clustering (hierarchical, kmeans) and iterating for clusters, Introduction to data mining methods including SVM, decision trees, ensemble models, association analysis, neural nets, random forests using GUI Rattle.
Model Building and Predictive Analytics in R
Learning Objectives -At the end of this module, you will be able to use R for building regression models. The learner will learn how to check for heteroscedasticity and multicollinearity and treat the same. In addition, you will be exposed to splitting the modelling dataset into test, control and validation parts. You will learn how to build a model for predictive analytics and apply it for accurate results. This will also include testing the model for stability and statistical rigor including out of time validation.
Topics -Regression models using GUI Rattle, R Commander, car, gvlma, ROCR packages, p values, parameter estimates, Confusion matrix, Sensitivity, Specificity, Information Complexity, MultiCollinearity, Heteroscedasticity, Model Output, Lift Charts, Model Curves.
Advanced Topics in R
Learning Objectives -At the end of this module, you will be able to use R for text mining, time series forecasting, web analytics using Google Analytics, or explore Twitter or Facebook for analysis. This will expose the learners to techniques like web analytics for websites, predictive analytics for sales (or any time series data), social network analysis for relationships between entities, text mining for unstructured text data, and social media analytics for publicly available consumer data.
Topics -Forecasting, web analytics, social media analytics, text mining using various packages in R, epack plugin in R Commander, tm package, wordcloud package twitteR package, introduction to social network analysis and social media analytics.
This Module will be unlocked after the next online class
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