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Business Analytics with R -iPartner
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Business Analytics with R

  1. Business Analytics with R
8/12 weeks / 550*
(* including all taxes.)


Key Features
SMALL
BATCHES
MENTORING
BY EXPERTS
FLEXIBLE
SCHEDULE
LEARN
BY DOING
GOAL
ORIENTED



Course Agenda


  • What is Business Analytics?
  • Evolution of Business Analytics
  • Scope of Business Analytics
  • Data for Business Analytics
  • Decision models
  • Companies using R extensively
  • Role of a data scientist
  • Why R
  • Installing R studio desktop
  • Understanding R studio
  • Setting your work directory
  • Installing packages and libraries in R studio
  • The Google for R
  • Important R packages
  • Data mining GUI in R
  • Graph GUI in R
  • Learn swirl
  • Operators
  • Built-in functions
  • Performing various operations using built in functions
  • Type of data structures in R
  • Data types : vectors
  • Working with missing values
  • Data types : matrices
  • Data types : arrays & general array operations
  • Data types : lists & general list operations
  • Data types : Data frame & general data frame operations
  • Factors
  • Data acquisition (Import & Export)
  • Subsetting variables
  • Creating new variables
  • Renaming and recoding variables
  • Reshaping data
  • Merging & concatenating datasets
  • Using dplyr To manipulate data frames
  • Data type conversion
  • Data values

  • Control and flow operators
  • Make a script in R
  • Writing functions in R
  • Creating R package
  • Types of visualization
  • Graphs in R
  • Line plots
  • Bar charts
  • Pie charts
  • Histograms & density plots
  • Scatter plots
  • 3-D & parallel coordinates
  • Why study statistics
  • Applications of statistics
  • Types of statistics
  • Population vs sample
  • Types of data
  • Types of statistical variables
  • Summarize the data
  • Make decisions using summary statistics
  • Mentee can select project from predefined set of iPartner projects or they can come up with their own ideas for their projects
  • Random variables
  • Expected value
  • Probability distribution
  • Standard deviation and variance
  • Types of distributions
  • Understanding normal distribution
  • Skewness & Kurtosis
  • Types of sampling
  • Central limit theorem
  • How does central limit theorem work
  • Practical applications of CLT
  • Confidence Interval & probability
  • How to interpret confidence interval
  • P-value; z-score
  • Confidence intervals for unknown mean and unknown standard deviation
  • T-distribution
  • Poison distribution

  • Learn how to state null and alternative hypotheses
  • Understand type-I and type-II errors
  • Conduct one-sided hypothesis test for population
  • Comparing more than two groups
  • Difference between ANOVA and t test
  • ANOVA explanation
  • One way ANOVA
  • Variance within and between groups
  • ANOVA table R2 and adjusted R2
  • Interpretation of various cases
  • Introduction to regression
  • Why do regression analysis
  • Types of regression analysis
  • OLS regression
  • Dependent and independent variable(s)
  • Steps to implement a regression model
  • Simple linear regression
  • Understanding terminology of each of the output of linear regression
  • Correlation
  • Strength of linear association
  • Least-squares or regression line
  • Linear regression model
  • Correlation coefficient; R
  • Multiple regression
  • Regression diagnostics
  • Detection of collinearity: simple signs
  • Assumption 1 and explanation - Residuals and non normality
  • Assumption 2 and explanation - Heteroscedasticity
  • Assumption 3 and explanation - Additivity
  • Assumption 4 and explanation - Linearity
  • Assumptions 5 to 8 and their explanations - Independence Assumption
  • Residual plots
  • Fitting the model
  • Diagnostic plots
  • Comparing models
  • Cross validation
  • Variable selection
  • Relative importance
  • AIC
  • Dummy variable
  • Box-Cox transformations
  • Residuels vs fitted
  • Residuels vs regression
  • Diagnostic plots
  • Binary response regression model
  • Linear regression output of proposed model
  • Problems with linear probability model
  • Logistic function
  • Logistic regression & its interpretation
  • Odds ratio
  • Goodness of fit measures
  • Confusion matrix
  • Mentee can select project from predefined set of iPartner projects or they can come up with their own ideas for their projects

Learn & Get

  • Gain in-depth understanding of JavaScript, MVC framework and Angular JavaScript Library
  • Understand what is AngularJs, its importance and real-world applications
  • Learn to create Controllers and sharing data between Controllers
  • Understand the concept of Dependency Injection
  • Learn the usage of angular-ui, ng-grid, angular-translate
  • Know about Node.js, Yo generator and Rest exposure
  • Create and load template using Routes
  • Write and Execute Business Logic and Validations in Controller
  • Understand the concept of AngularJS Integration with MVC
  • Learn to implement in real-time AngularJS examples
  • Understand AngularJS modules and their importance

Payment Method

PAYMENT METHODS
You need to pay through PayPal. We accept both Debit and Credit Card for transaction.
SCHOLARSHIPS
We subsidize our fees by 10% for military personnel, and college students with exceptional records. To apply for a scholarship, email info@ipartner.ca
FREQUENTLY ASKED QUESTIONS
In our iPartner self-paced training program, you will receive the training assessments, recorded sessions, course materials, Quizzes, related softwares and assignments. The courses are designed in such a way that you will the get real world exposure; the solid understanding of every concept that allows you to get the most from the online training experience and you will be able to apply the information and skills in the workplace. After the successful completion of your training program, you can take quizzes which enable you to check your level of knowledge and also enables you to clear your relevant certification at higher marks/grade where you will be able to work on the technologies independently.
In Self-paced courses, the learners are able to conduct hands-on exercises and produce learning deliverables entirely on their own at any convenient time without a facilitator whereas in the Online training courses, a facilitator will be available for answering queries at a specific time to be dedicated for learning. During your self-paced learning, you can learn more effectively when you interact with the content that is presented and a great way to facilitate this is through review questions and quizzes that strengthen key concepts. In case if you face any unexpected challenges while learning, we will arrange a live class with our trainer.
All Courses from iPartner are highly interactive to provide good exposure to learners and gives them a real time experience. You can learn only at a time where there are no distractions, which leads to effective learning. The costs of self-paced training are 75% cheaper than the online training. You will offer lifetime access hence you can refer it anytime during your project work or job.
Yes, at the top of the page of course details you can see sample videos.
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 24*7 support team. You can start learning right away.
24/7 access to video tutorials and Email Support along with online interactive session support with trainer for issue resolving.
Yes, You can pay difference amount between Online training and Self-paced course and you can be enrolled in next online training batch.
Please send an email. You can join our Live chat for instant solution.
We will provide you the links of the software to download which are open source and for proprietary tools, we will provide you the trail version if available.
You will have to work on a training project towards the end of the course. This will help you understand how the different components of courses are related to each other.
Classes are conducted via LIVE Video Streaming, where you get a chance to meet the instructor by speaking, chatting and sharing your screen. You will always have the access to videos and PPT. This would give you a clear insight about how the classes are conducted, quality of instructors and the level of Interaction in the class.
Yes, we do keep launching multiple offers that best suits your needs. Please email us at: info@ipartner.ca and we will get back to you with exciting offers.
We will help you with the issue and doubts regarding the course. You can attempt the quiz again.
Sure! Your feedbacks are greatly appreciated. Please connect with us on the email support - info@ipartner.ca.