Today we are living in an era where technology is the king. Businesses survive on successful data analysis and explanation and hire people who know the same. Therefore, the online SPSS assignment help agencies suggest students pursue degrees in different data analysis tactics and programming languages. It will expose them to better career choices.
Australia has become a popular study destination among international students. Australian universities offer students the most updated courses on data analysis and SPSS, Meta Data science, and Applied Statistics. If you want to pursue a course on SPSS and other similar aspects, here is a list of best Australian universities-
#1 Swinburne University Of Technology
Name Of The Course: Graduate Diploma Of Applied Statistics
Duration: 1 Year
Fees: A$37000 (Per Year, Per Student)
Description: This is a Graduate Diploma Degree in Applied Statistics. Upon pursuing the course, students will gain practical knowledge of statistical methods and software packages such as R, IBM SPSS, and the SAS suite. The course will also prepare students for the best-practice research design methods, advanced analysis techniques, and make forecasts based on complex sample surveys.
#2 Australian National University
Name Of The Course: SPSS For Researchers, Summer Program,
Duration: 1 Week Professional Course
Fees: Member: $2,200. Non Member: $3,900. Full time student Member: $1,980.
Description: The online SPSS assignment help agencies suggest working students to pursue this highly-effective course. Upon registering in this course, students will be able to learn about SPSS set up, modify and present data obtained from surveys, graphing data, Cross-tabulations and multiple responses of data, reading raw data into SPSS, and restructuring data. After completing this course, students can enroll in Fundamentals of Statistics, Applied Statistical Procedures, and Fundamentals of Multiple Regression courses.
#3 University Of Technology, Sydney
Name Of The Course: Master of Data Science and Innovation
Duration: 2 years for full-time students and four years for part-time students.
Fees: Students can find their course fees in the university online calculator.
Description: The course prepares students to participate in a variety of emerging careers with the growth of data science. The course covers areas of data entering, data labeling, data cleaning, data computing, data analysis, statistics, hypothesis test, ANOVA and non-parametric method, logistic regression analysis, chi-square test, and Cox's regression.
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