Top 6 Data Analytics Courses in New Zealand With Placements
When you are talking of a bright and successful career then you cannot overlook the opportunities which you get by enrolling for Data Analytics Courses in New Zealand. New Zealand is an unbeatable and competitive place to live and study where we get to meet people from various cultures. Institutes of New Zealand offer extensive student support with new challenges to beat the world and explore the potential that lies within you. In this article, you will be acknowledged with the details about different Data Analytics Courses in New Zealand.
What is Data Analytics?
In today’s competitive world, there’s a huge number of data and information which needs to be gathered and utilized to have a prosperous venture. This accumulated data is of no use in its raw form. So it needs to be verified, cleaned, transformed, and analyzed to reach important conclusions which help in decision-making for any organization. Here comes the role of data analyst who is an expert in data analytics.
Data Analytics involves a variety of tools, techniques, technologies, and methods to find out the patterns and trends of the market and to solve the issues related to numerous matters. It aims at maximizing profits and making optimum utilization of its resources. It would be very time-consuming and a wastage of manpower if all the people in the company or organization get involved in the work of data collection, analysis, etc.
So there arose the need for a data analyst, in an organization, who is skillful and trained in his/her job. It is the data analyst who gathers all the data from the market as well as competitors and transforms this data into useful information for the benefit of the organization. There are specialized institutes that offer such courses in different countries like the Data Analytics Courses in New Zealand which is quite a renowned one.
Types of Data Analytics
The four major categories of Data Analytics are descriptive, diagnostic, prescriptive, and predictive analytics:-
- Descriptive Analytics – This type summarises all the activities which have occurred in the past and is based on the monotonous course of trends and patterns. It is usually in the form of dashboards and statistics and it summarises quantitative data.It determines the ‘what’ in all the information.
- Diagnostic Analytics – This type helps us to know the root cause of anything that has happened.So it deals with the ‘why’ an event occurred. It digs out deep into the facts mentioned in descriptive analytics to give an explanation as to why something has happened. Organizations can make of this for future planning and decisions and also be alert so as not to repeat the error which already occurred.
- Prescriptive Analytics – This type of data analytics views the reports of all the rest 3 types and accordingly guides on what is the course of action that needs to be taken. It identifies and specifies the particular actions which a company has to take for the accomplishment of its goals.
- Predictive Analytics – This type of data analytics utilizes all the information gathered from past and current affairs and forecasts the future based on those insights. This forecasting is just an estimation depending on how comprehensive the data accumulated.
Tools Needed for Data Analytics
- Microsoft Excel – It is the world’s best-known spreadsheet software. Excel is an important tool for data analysts. It has specific in-built features in it that sorts out and totals data, numbers, and text into a single cell. It has a few limitations as well. Like, it runs slow with huge databases and it does approximation with large numbers which results in inaccuracies. But it is a very helpful tool so its limitations can be overlooked.
- Tableau – Tableau is known for its commercial use in data analysis. It is used where interactive visualizations are required. It can handle huge databases and has drag and drop interface. It is a mobile-friendly tool. The only disadvantage of this tool is that it does not have any scripting layer. But its visualization function is excellent so all you can do is use Python or R along with Tableau for the scripting part.
- SAS – SAS stands for Statistical Analysis System. It is a commercial tool used for predictive analysis and to prepare statistics. It is a versatile tool used in big companies. The disadvantage of this tool is that it is very expensive but at the same time, it has a lot of benefits. It lacks in graphical representation.
- Microsoft Power BI – It came into existence as an Excel plug-in but later in the year 2010, it was redeveloped as a separate tool with its individual importance and utility. It’s commercial software with the availability of its free version too. It has great data connectivity and good visualizations. The only drawback is its low data limit (around 2GB ).
- Python – Python is a programming language that is a must in the field of data analysis. It has thousands of free libraries like NumPy, pandas, BeautifulSoup, Scrapy, etc. It is easy to learn and is highly versatile. It has a range of libraries that suits the various data analysis tasks. The main shortcoming is its speed.
- R – R is also a programming language like Python. It deals with heavy statistical computing tasks and is highly compatible. It has lots of packages and also has a network of freely available code called CRAN ( the Comprehensive R Archive Network). Its main drawback is that it is less secure and more complex than Python.
- SQL – SQL stands for Structured Query Language. It is a language for relational database management systems. There are 3 main types of commands in it: DDL ( Data Definition Language ) command, DML ( Data Manipulation Language ) commands, and DCL ( Data Control Language ) commands.SQL gives the user a multi-dimensional feel. Its limitation is that SQL data storage does not work well with quick calculations.
- Apache Spark – Spark is built on data science in such a way that it makes it easier for the user to work in data science. It is a fast large-scale data processing tool.
Then there are other tools like Knime, Qlikview, RapidMiner, Splunk, etc which are used in the process of data analytics.
Importance of Data Analytics
- Data analytics mentors the company to make wise, profitable, and strategic decisions related to various issues like management, staff, production, purchase, marketing, advertising, etc.
- Data analytics assists in the expansion of the organization by taking optimum advantage of its potential and resources and improving its performance and augmenting profits.
- Data analytics builds a strong support system for businesses to handle their day-to-day activities smoothly and efficiently overcoming the hurdles in its functioning.
- Data analytics guides companies in the prevention of losses by studying market trends and conditions.
Role / Responsibilities of a Data Analyst
- Collecting Data – It is the first and foremost job of the data analyst to collect data and information from the different sources available.
- Cleaning Data – His/ her responsibility is to clean all the data collected. Cleaning does not mean removing any dust or dirt in actual sense. Cleaning data means removing all unwanted and unnecessary data.
- Analysing Data – After cleaning, data must be analyzed to understand it precisely and to know how it affects a particular company.
- Preparing database and dashboards – A data analyst then prepares dashboards and statistics with the help of graphs and numbers to track and monitor the various aspects.
- Preparing Reports – Then the final reports need to be made by the data analyst which would be taken into consideration and which is readable and understandable for a common man.
- Writing and Communication -These reports are now to be jotted down by the data analyst and then communicated further to the concerned person as set in the hierarchy by the company. He may also communicate with people from other companies if required.
- Collaborating with other companies – If the data analyst feels that there needs to be some collaboration in any way with people from other companies for the welfare of his company then he may do so.
- Troubleshooting – A data analyst is supposed to try and find a way out of the problems, if any, and solve the problems in a systematic way.
- Tracking Performance Levels – It is the duty of the data analyst to maintain track of the performance of the company in all aspects.
Top 5 Reasons to Study Data Analytics Courses in New Zealand
- High-quality education – The institutes of New Zealand provide high-quality education in the sense they involve live projects, and offer vocational courses,80 % of the course is practical. They give personal attention to students and also prepare well for the interview.
- Unbeatable lifestyle – When you go for data analytics courses in New Zealand, you will get to see natural beauty and spectacular landscapes. You will have a relaxed lifestyle with friendly and supportive people. It would not be less than heaven on earth.
- Learn English – New Zealand is known to be ranked as the No. 1 country for its spoken English. You can really enhance your English skills very well which would be of great help for job placements.
- Work-ready – When you opt for data analytics courses in New Zealand then they give you ample scope and time to manage part-time studies along with a part-time job. So that makes you ready for the job at the time you are pursuing your course.
- Gain life skills – Studying in New Zealand assists you in building strong connections. You also learn to work independently and to work collectively as a team simultaneously.
- Cost of living – Cost of living is an important aspect when you go abroad for your studies. The cost of living in New Zealand is 12 % less than that of living in Australia.
All these reasons are promising enough for a student to be encouraged to go for data analytics courses in New Zealand.
Other best courses in New Zealand:
- Content Writing Courses in New Zealand
- Digital Marketing Courses in New Zealand
- Technical Writing Courses in New Zealand
- Creative Writing Courses in New Zealand
Institutes That Offer Data Analytics Courses in New Zealand
1. IIM SKILLS
IIM SKILLS offers online courses which can be attended by sitting anywhere in the world. They offer a number of professional courses along with a data analytics course. They have project-based training for their students. It has a master’s course plus one can also opt for a module as per his/ her requirements.
The 6 monthly course comes with 2 months of internship, which is an added advantage for the students as they have the opportunity to build a rock-solid portfolio and gather advanced skills. The Master Data Analytics Course provided by them covers core modules that are necessary to build a base of the subject, which is actually required to become a pro.
If you are someone who is keen to build your career in the data analytics domain, IIM SKILLS should be your priority. Their excellent 24/7 support team is always in to help their students. You do not need to think twice to reach them for any query. Just mail them, and you will be taken care of by them.
- Master Data Analytics Course
Time Duration – 6 months course + 2 months guaranteed internship
Fees – INR 49,900 + taxes
- Data Analytics with EXCEL + VBA
Time Duration – 1 month
Fees – INR 19900 + taxes
- Data Analytics with POWER BI
Time Duration – 1 month
Fees -19900 + taxes
- Data Analytics with PYTHON
Time Duration – 1 month
Fees – INR 19900 + taxes
2. University of Auckland
The University of Auckland ranked within the top 20 for four of the goals individually. It was founded in 1883 and is the country’s largest university with over 40,000 students, nearly 10,000 of whom graduate annually. It is the highest-ranked New Zealand university in the QS World University Rankings (2022). About 30% of the top-ranked researchers in New Zealand are at the University of Auckland.
The University of Auckland Alumni magazine comes out twice a year. It gives a detailed knowledge of alumni, staff, and students of the university. The University of Auckland will be your no. 1 choice for data analytics courses in New Zealand.
World Rank – 139
No. of Courses offered – 6
- Bachelor of Commerce in Business Analytics
Bachelor’s Degree
Full-time – 3 years
NZ $ 42,180.00(INR 21,57,545) per year
- Master of Business Analytics
Master’s Degree
Full-time – 15 months
NZ $ 45,389.00 ( 23,21,688) per year
- Master of Operations Research
Master’s Degree
Full-time – 120 credit hours
NZ $ 48,622 (INR 24,87,059 ) per year
- Postgraduate Certificate in Business Analytics
Graduate Certificates and
Diplomas
Full-time – 0.5 year
NZ $ 21,954.00 (INR 11,22,
967) per year
- Postgraduate Certificate in
Operations Research and
Analytics
Graduate Certificates and
Diplomas
Full-time – 0.5 year
NZ $ 24,311.00 ( INR
12,43,529) per year
- Postgraduate Diploma in
Operations Research and
Analytics
Graduate Certificates and
Diplomas
Full-time – 1 year
NZ $ 48,622.00 ( INR
24,87,059) per year
3. Auckland University of Technology
AUT ranks 2nd in New Zealand when we talk of a vast university AUT was an institution for 120 years Later it was redeveloped and was given the name of a university in the year 2000. It functions keeping in mind the Education Act.AUT has reached great heights and progressed due to its teaching methods, the extensive research it carries out, and the citation process.AUT is ranked in the top 25 in the world for its international outlook, placing equal in the world and equal first in New Zealand, in the Times Higher Education World University. If you are planning to do data analytics courses in New Zealand then AUT is one of the best options.
World Rank – 601
No.of course offered – 1
- Bachelor of Science in Analytics
Bachelor’s Degree
Full-time – 3 years
NZ $ 36,900.00 (INR
18,87,468) per year
4. The University of Waikato
The University of Waikato is ranked #739 among the best Global Universities. Established in 1964 in Hamilton, New Zealand, and now with a new purpose-built campus in Tauranga, the University of Waikato is a progressive and innovative institution of learning. The university is placed 331st out of the world’s best universities by the QS World University Rankings 2023, with thirteen subject areas ranked in the top 300. The University of Waikato has been the university of choice for over 15,000 international students (between 2000-2022) from across the globe who form part of a culturally diverse student community.
World Rank – Between 410 to 500
No. of Courses offered – 6
- Bachelor of Climate Change
Bachelor’s Degree
Full-time – 3 years
NZ $ 36,480.00 ( INR
18,65,985) per year
- Bachelor of Computer Science ( BSc )
Bachelor’s Degree
Full-time – 3 years
NZ $ 34,745.00 ( INR
17,17,238 ) per year
- Bachelor of Science (BSc) majoring in Data Analytics
Bachelor’s Degree
Full-time – 3 years
NZ $ 36,480.00 ( INR
18,65,985 ) per year
- Graduate Certificate in Data Analytics
Undergraduate Certificates and Diplomas
Full-time – 6 months
NZ $ 17,446.00 ( INR
8,92,379 ) per year
- Graduate Certificate in Business Analyst
Undergraduate Certificates and Diplomas
Online / Distance – 9 months
NZ $ 16,364.00 ( INR
8,37,033 ) per year
- Graduate Diploma ( GradDip ) in Data Analyst
Undergraduate Certificates and Diplomas
Full-time – 1 year
NZ $ 34,892.00 ( INR
17,84,783 ) per year
Recommended Reads:
- Data Analytics Courses in London
- Data Analytics Courses in Nigeria
- Data Analytics Courses in Dubai
- Data Analytics Courses in the UK
- Data Analytics Courses in Australia
5. Massey University
Massey University is a university based in Palmerston North, New Zealand, with significant campuses in Albany and Wellington. Massey’s veterinary school is accredited by the American Veterinary Medical Association. The first satellite of New Zealand which is named KiwiSAT,is being sketched out by the Radio Amateurs there only along with the assistance of Massey. If you wish to undertake data analytics courses in New Zealand then you choose Massey University as it provides distance learning also. Massey University is New Zealand’s largest and preeminent provider of distance education.
World Rank – 601
No. of Courses offered – 3
- Bachelor of Business ( Business Analytics )
Bachelor’s Degree
Full-time – 3 years
NZ $ 28,060.00 ( INR
14,35,294 ) per year
- Master of Finance ( Financial Analytics )
Master’s Degree
Full-time – 1.5 years
NZ $ 29,360.00 ( INR
15,01,790 ) per year
- Master of Finance ( Risk Analytics )
Master’s Degree
Full-time – 1.5 years
NZ $ 29,360.00 ( INR
15,01,790 ) per year
6. Eastern Institute of Technology
The Eastern Institute of Technology (EIT) is a government-owned education institution.EIT offers a wide range of programs be it certificate and diploma courses or postgraduate degrees. On 1 April 2020, the Eastern Institute of Technology was subsumed into the New Zealand Institute of Skills and Technology alongside the 15 other Institutes of Technology and Polytechnics.
No. of Courses offered – 1
- Postgraduate Certificate in Business Analytics
Graduate Certificate and Diplomas
Online / Distance – 6 months
NZ $ 7,800.00 ( INR
3,98,977 ) per year.
The Need for Data Analysts in New Zealand
As mentioned above, we can see there are online and offline options for data analytics courses in New Zealand. In today’s world, the job of a Data Analyst is highly trending and so in huge demand. The availability of data analysts with certified degrees and experience is quite less compared to the demand in various organizations. The government is also boosting trained data analysts from other countries to work in New Zealand. We all know that supply is inversely proportional to demand. Less is the supply more is the demand. That’s why more and more students enroll in data analytics courses in New Zealand.
FAQs
1) How do I get a job after doing data analytics courses in New Zealand?
Ans) After completing your data analytics courses in New Zealand, go for an internship ( be it paid or unpaid) for a few months. Get some certifications like SQL and other databases to supplement your data analytics course. After the internship, you have all probabilities of getting a job as per your requirements.
2) Is data analysis a good career in New Zealand?
Ans) If you have done data analytics courses in New Zealand then more preference will surely be given to you especially if you have done in Auckland. As if you do the course in Auckland then pay is usually higher.
3) What is the hourly rate of data analysts in New Zealand?
Ans) $ 43.06
The average data analyst salary in New Zealand is $ 83,960 per year or $ 43.00 per hour.
4) Do Data Analysts work from home or office?
Ans) Yes, you’re thinking it right. Most of the duties of a Data Analyst can be done online only.
5) Does data analysis require coding?
Ans) Yes, coding is an important task for a data analyst. When you opt for a data analyst course in New Zealand then coding is a part of your syllabus, especially the basics of R, SQL, and Python.
Conclusion
So now we know what data analytics is, and its importance and we can say that in today’s generation data analytics assists a business in the achievement of its goals and in its expansion. Every company or organization needs a data analyst at some point or the other. There is ample scope in my career after completion of a certified course in data analytics from a renowned institution.