MIS 650

A Budget Friendly MIS 650 Course Adept Assistance

Course Description: MIS 650

MIS 650 has 4 credits as a course and it helps students in performing analytics with the help of a statistical language. Some of the key topics of the subject is inclusive of working with data, object types, charting data, and building statistical models within a business environment. We appreciate and root for you if you are considering this course. Moreover, in case of any difficulty, you can always seek expert academic assistance from takemyonlineclassforme.com. 

Class Resources for MIS 650

In order to understand the course better, you need to have reliable and sufficient study material with you so that you can ace your academics. We are mentioning some links and sources below that would help you with the course. Moreover, you can always ask out to experts to take my online MIS 650 class. This will help you in better understanding and would assist you in fixing any loophole. Let’s take a look at the class resources. Also, if you love to play with numbers and statistics, you can also look into ECN210 Microeconomic Principles. 

Explore the various resources on the R Studio

website. https://www.rstudio.com/collections/rstudio-essentials/ MIS-650 Course

R for Data Science 
For extra information and additional examples of practical code, the following is recommended: Wickham, H., & Grolemund, G. (2017). R for data science. O'Reilly Media. ISBN-13: 9781491910399 https://r4ds.had.co.nz/ 

RStudio
Download the RStudio Desktop version of the Integrated Development Environment (IDE) for use in the completion of course assignments. RStudio provides a development environment for using R. https://www.rstudio.com/products/rstudio/ 

MIS-650 Connecting to DSQL Server in R
Read "Connecting to DSQL Server in R.

Course Project Overview 
Read the "Course Project Overview" for specific information about what should be included in each component of the Course Project. 

R for Everyone: Advanced Analytics and Graphics

Lander, J. (2017). R for everyone: advanced analytics and graphics (2nd ed.). Pearson. ISBN-13: 9780134546926 

The R Project for Statistical Computing 
Download the appropriate version (i.e., Windows or iOS) of the R programming software from the R Project website. You will be directed to download from the CRAN (Comprehensive R Archive Network) Mirror site closest to you. 
https://www.r-project.org/ 

LopesWrite 
Refer to the LopesWrite webpage for guidance regarding assignments requiring submission to LopesWrite. 
While referring to any of this study material you can always seek help from professional experts in case you face any problem. We are always just a call, text or email away. 

Topics in MIS 650

Given below is the list of topics in MIS 650 and the purpose of related assessments. 

Introduction to R 

The purpose of this assignment is to make students familiar with the coding interface and syntax structure for R programming. Complete the assignment according to the directions in the “Introduction to R Syntax” resource. Include a plain text file (.txt) of all executed functions for the assignment. This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion. 

Basics of R and Descriptive Statistics 

The purpose of this assignment is to use R functionality to perform mathematical operations and descriptive statistics. You are required to meet all the requirements of the assessment and make sure you do not use APA style as it is not required. This assessment also uses a rubric. In case you find yourself stuck with some topic you can always seek an expert’s assistance. Moreover, try to make the best out of the assistance you receive. Then you can ask experts to take my online exam and find out the things that need to be fixed. Later work on it with proper care. Experts will always provide you with help with MIS 650 online course. 

Importing Data and Advanced Data Structures 

This is the third topic of the course and the assessment wants you to work on Initial Data Analysis and Summary Statistics. You need to use the proper style of writing. While APA style is not required for the body of this assignment, solid academic writing is expected, and documentation of sources should be presented using APA formatting guidelines. This assignment uses a rubric. 

Manipulating Data

The purpose of this assignment is to learn about the functions in R for data manipulation. The assignment covers both the base R functionality and the dplyr library. Include a plain text file (.txt) of all executed functions for the assignment. In a Word document, include responses to the questions above with screenshots that show the results of executing each function. Submit the .txt file and Word document to your instructor. APA style is not required, but solid academic writing is expected. 

Statistical Graphs 

This is the fifth topic of the course. The assessment requires you to complete the course project component which is the cumulative statistics and data analysis. You can refer to different work resources. Moreover, it is not always necessary to use the APA style of writing in this. You can also look for some unconventional ways of learning such as quizzes and in case you face any issues with the same, you can always ask experts to take my online quiz and help yourself out of the struggle in the course. 

Data Distributions and Statistical Tests

The purpose of this assignment is to generate random numbers using R, develop various plots to visualize the data distribution of a numerical sample in the R environment and calculate probability based on distributions within R. Moreover, you are required to complete the assignment according to the directions. 

Linear Regression 

This is the seventh topic of the course that requires you to complete a course project that includes graphical analysis. linear regression, and recommendations. You are required to submit the PowerPoint Presentation. 

Advanced Topics: Nonlinear Models 

The purpose of this assignment is to perform and interpret approaches for modelling nonlinear relationships in data. You are required to complete the assignment according to the directions in the “Methods for Nonlinear Data in R” resource. Include a plain text file (.txt) of all executed functions for the assignment. 

 

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