Students can upskill their command of advanced statistics software such as the SPSS statistics computing software through a series of online tutorials and course lectures.
The role of data analytics within a business can be summarized in the following points: Enabling the company to structure findings from survey research or other means of data collection. Breaking a macro picture into a micro one.
Acquiring meaningful insights from the dataset. Basing critical decisions on these findings and eliminating human biases through proper statistical treatment.
This in turn mitigates the occurrence of inaccuracies and thus provides a more accurate and dependable input for decision making within the contemporary business world.
As you can see that the possibilities that an understanding of data and how it can be implemented within organisations to enhance efficiency are endless.
There is certainly great opportunity and career prospects for students and working professionals who choose to pursue a career in big data or other positions with analytical components.
Try out python while you are at it too!
Learning SPSS in Ireland and abroad
In Ireland, the typical salary that you can expect as a full-time researcher or statistician in one of the country’s larger cities is approximately €45,000 – €80,000 a year. When you are trying to arrive at a salary or hourly rate for your sessions, the local area and the cost of living are important factors to consider!
It is also important to keep in mind that you should always keep the living expense of the area that you plan on working in the back of your head!
Evidently thereby familiarising yourself with software such as SPSS you will inherently be setting yourself up for an above-average salary, which makes your efforts all the more worthwhile.
If you are currently working full-time, familiarising yourself with SPSS can also make you more valuable to the organisation that you currently work for. Increasing the value that you are capable of providing for your employer can also present enhanced career security.
It should come as no surprise that Data analysis is an emerging industry and its associated workplace is overdeveloping. It is important to upskill incrementally in order to remain viable in your employment and ensure that your horizons are bright as you progress down your respective career path.
Why should you learn SPSS?
It will come apparent when applying for graduate positions over the last months of your hons bsc degree, that not only is statistics a required competency, but so too is a familiarity with accompanying software. As a student, you should be motivated to be competent in using SPSS in order to maximise your ability to use the software at work.
I would advise statistics, management, economics and research students to learn statistics software and highlight it as a key area for progression in your personal development plan.
You can also throw yourself at opportunities to develop these competencies through Tableau and R studio courses.
A quick browse of the management, research and econ job markets will surface the importance of learning statistics software as a means of mitigating the potential impact of automation in the contemporary workplace. this often influences the intrinsic motivation of students to develop these competencies.
Familiarising yourself with the SPSS statistics software, completing the subsequent assessments and reflecting on the experience will surface some invaluable learnings that will stand to you throughout your professional career, studies and beyond!
The reality is that statistical analysis will play a big role in computing the extensive collections of data accumulated within information markets.
This means that developing these vital competencies will work wonders for your career progression. Whether you decide to progress internally through your current organisation or leverage the used skills to negotiate a higher salary elsewhere.
SPSS is used for advanced statistical analysis within business, and science and is also widely adopted by international researchers.
A statistical analysis package is best used when calculating a social variable for predictive purposes in a quantitative survey.
Opportunities from learning SPSS
The opportunities that are presented to a student who familiarises themselves with statistical software such as SPSS are endless!
With the generational shift toward the vast digitalisation of assets, many organisations provide value through their complex information systems which are ultimately informed through Big data.
We are capable of extracting data at an increasingly fast rate, though it is how we compute this data which provides valuable information such as analysing consumer behaviours for informed decision making.
Big data is higher and richer data that shows more details about behaviours, activities and events that happened all around, so analytics of these big data gives access to a variety of different types of data from huge recourses with less response time
Familiarising oneself with powerful software such as SPSS and R Studio is a way to fulfil the desires of the market.
Intelligence is the process of collection, treatment and diffusion of information that has an objective, the reduction of uncertainty in the making of all strategic decisions.
This provides clarity for the role that such ability to compute data plays within an organisation. Often, such analysis surfaces underlying inefficiencies within an organisation which otherwise would not have been realised, providing the company with cost-effective and informed decision making.
Analysing how users interact with your platform or how they consume your product can provide the organisation with useful insights surrounding the areas that they are going to focus on and for which customers.
What will you learn from using SPSS?
Amongst many important learning outcomes, you will learn to compute data using some of the many statistical functions available within the SPSS software. There is an extensive library of these functions for users to gain an in-depth insight into the various relationships and their strengths across the data set.
These functions are available for quick-select and offer a mix of flexibility and convenience when manipulating data. The functions will also range from descriptive statistics, comparison of means, linear regressions, various visualisations and frequency tables.
Descriptive statistics are often suitable when distinguishing whether any removals have been omitted during the cleaning process, and providing description and visualisation for your data through a chart, pie charts and histograms. Descriptive statistics often provide the mean, median, mode and standard deviation for the selected data.
Frequency tables are a suitable method for providing a summary of the data containing different amounts of variables. Summary measures containing a single variable provide a description of the spread of the data.
You should study a number of quantitative science software that have use in the international workplace. Learning how to calculate a social variable, by using science method will help you to make a predictive model calculate variance across international quantitative research.
This shows how the data deviates from the average and is often a strong first step in describing the dataset. The tabular format allows for a great amount of data to be summarized.
More learnings from studying how to use SPSS
The One-Way ANOVA test will allow you to investigate any difference in the mean across independent groups. This One-Way ANOVA test allows the comparison of a multitude of groups and was thus well suited for analysing the relationship between the day of arrival on the amount of time that a patient had spent within the hospital.
The Independent sample T-test allows us to numerically compare the mean of the two independent groups. From the computed results the main piece of information we need is our P-value.
The P-value, if greater than .05 tells us that there is a non-significant difference between the mean of the examined variables. You might implement this test within your hons BSc research in order to conclude if there is a significant difference between two variables.
A Chi-Square test allows you to investigate the relationship between two nominal variables. You might use this test to analyse whether the gender of patients influenced patients being admitted to hospital.
A regression model provides a multitude of valuable insights for researchers, allowing for accurate prediction or forecasting abilities. The model involves a multitude of assumptions about predictor variables and response variables. Additionally, ‘dummy variables’ can also be implemented in order to quantify categorical variables within a time series analysis.
Quantitative science can help calculate a set of a variable and helps in getting the variance of a predictive package too. Even the best package can be gotten for free using international quantitative software such as SPSS.
Online SPSS Courses: Choose yours on Superprof!
Superprof is a community which comprises of millions of tutors around the world and has an established online presence. Online tutoring can be accessed from just about anywhere with a stable internet connection.
This means that you can search through the data analytics tutors from anywhere until you find the tight match. Have a look through the Superprof platform, where there is no shortage of online SPSS tutors for students to avail of!
Availing of online data analysis and research tutors can provide students with some much-needed guidance on how best to practice the language and more importantly where they can improve. Students can select their tutor according to their specific needs and style of learning.
You can also work with your tutor to organise the layout of your sessions. Online tutoring will present you with the opportunity to learn from the comfort of your own home on a remote basis via webcam and pre-recorded video sessions.
If you decide to study SPSS courses and avail of a tutor from Superprof then you can rest assured that you will develop a better understanding of statistics, how to clean data and describe information using the appropriate function or visualisation.
You will also gain an insight into the research process that you might already be somewhat familiar with if you have any prior education in academia.
It is important to maintain this questioning and critical thinking throughout the research process to ensure the viability of your calculations and chosen research methods.
Try out your first free course and master regression and data management. You certainly won't regret learning SPSS, the networking and social opportunities are endless!
Enjoyed this article? Leave a rating!
Loading...
