A Budget Friendly ISM5570 (Data Analytics) Course Adept Assistance
Key Topics
Course Description: ISM5570
The course ISM5570 will help students to cater to the basics of Data Analytics and learn the programming language R in a way that is applicable in the current job market. In addition to this, each module will cover pertinent concepts of R language which are critical in automating the analysis and exploration of real-world datasets. This course will be very helpful for students who are looking for a good career opportunity in data analytics in a short period of time. Moreover, in case of any discrepancy during the course, you can seek assistance from takemyonlineclassforme.com.
Course Objective: ISM5570
The focus, of the course, ISM5570 is majorly on developing techniques to analyse large datasets and using techniques, algorithms, and software to automate the analysis. In addition to this, the course also has explored those datasets. The course covers the methodology, major software tools, and applications in the data mining and analytics field using R language. However, some students might find the course complex at times but instead of facing such issues students can get help with the ISM5570 course online help from professional experts. These experts can help you with the course to tackle any of your difficulties. Moreover, the course includes:
- Introduction to data mining and business analytics
- What is a statistical programming
- Introduction to R Language
- Installation and Setup. R and R Studio
- Writing your first R application.
- The basic feature of R Language
- Logical vectors, data frames and relational operators
- Data input and output
- Programming statistical graphics
- Programming with R language
- Efficient programming skills.
- Debugging and maintenance
- Simulation of random data
- Computational linear algebra
- Real-world examples (Financial portfolio, marketing data, sports stats)
- Numerical optimization
- Regression Analysis
- Exception handling
- Career advise, interview prep and resume building
Course Benefits: ISM5570
The course of ISM5570 has multiple benefits. Similarly, there are other courses such as BUS200 Introduction to Business with which you can attain some highly profiting benefits. You can choose any course for yourself. However, let us read about the benefits of ISM5570. The course will provide tips for career development in the area of data analytics and statistical programming, interview preparation and resume building along with teaching the latest data analytics techniques. Moreover, during the course do not struggle much with the complex topics and asked the experts to take my ISM5570 class right away.
Evaluation Criteria: ISM5570
The grades during the course will be based on the performances of students that they perform in the quizzes, class participation, coding project, short answer, timed midterm exams, and final exams. Moreover, students are required to complete all these quizzes/projects/exams are to be completed on their own but in case of any complexity, you can ask experts to take my online quizzes/projects/exams, etc.
Point Allocation
Mid term |
125 |
Final exam |
125 |
Coding Project |
60 |
Discussion, participation |
30 |
Quizzes |
60 |
Total |
400 |
The total number of points you receive determines your final grade in this course. The following point scale will be used in determining your final letter grade in this course:
Percentage |
Points |
Final Grade |
93% |
372-400 |
A |
91% |
364-371 |
A- |
89% |
356-363 |
B+ |
87% |
348-355 |
B |
83% |
332-347 |
B- |
81% |
324-331 |
C+ |
79% |
316-323 |
C |
73% |
295-315 |
C- |
Rules for the Class: ISM5570
- Unless specifically stated otherwise, some assignments and all EXAMS are to be completed individually. You are encouraged to discuss the understanding of a particular issue or class material with fellow students, but solutions have to be your own effort.
- Academic honesty is to be taken very seriously. If you submit work that references another person’s efforts, then you must properly attribute it to that person, otherwise, it is plagiarism, and you will get zero credits. Avoid plagiarism and copy-paste from the internet.
You can always seek the assistance of experts in case of any complexity with quizzes, exams, online classes, etc. All you need to do is visit our website and seek assistance by asking experts to take my online exam and other academic assistance.
Course Syllabus as Per Weeks: ISM5570
Week |
Topics |
Week 1 |
Course Introduction/ Logistics |
Week 2 |
Introduction to data mining and business analytics |
Week 3 |
Introduction to R language. Installation and setup |
Week 4 |
Data mining and basic feature of R language |
Week 5 |
Logical vectors, loops and relational operators |
Week 6 |
Machine learning/ Neural networks |
Week 7 |
Supervised/unsupervised learning |
Week 8 |
Matrices, rbind, cbind function in R |
Week 9 |
Mid-term exam data mining discussion |
|
SPRING BREAK |
Week 10 |
Visualizing data |
Week 11 |
Data presentation |
Week 12 |
STUDY WEEK |
Week 13 |
Visualising data with R |
Week 14 |
Review/ Your career in data science |
Week 15 |
Final Exam |
Expert Assistance for ISM5570
Undoubtedly the course can be complex at times for students. In such cases, students always need an extra helping hand to take care of all their quizzes, exams, online classes, etc. But with Take My Online Class for Me, you do not have to worry about anything because our subject matter experts will help you take care of all these things in one go. So, do not wait for any further and contact us right away.