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Top 10 Data Science Courses In New Zealand With Placements

With the development of new technologies, data science has become one of the most valuable assets that companies are trying to obtain today. It is an excellent field that combines information technology, statistics, and business as a whole. Data scientists are some of the most sought-after professionals in today’s digital age. PwC in its recent report established that firms that incorporate data-driven methods are three times more likely to make right-informed decisions than the firms that use other strategies. This is because data science is becoming an important factor in many organizations, as companies increasingly turn into data-driven businesses. Read on to find out more about the top 10 data science courses in New Zealand.

List of best data science courses in New Zealand

Who is a Data Scientist?

The term data scientist was first used in 2008 when organizations acknowledged the need for data managers with the capability of analyzing big data. While data analysts collect, sort, preprocess, and perform calculations and analyses on data, data scientists are more future-focused and predictive.

Data scientists are expected to assist in coming up with solutions for problems that have the potential to impact organizational performance significantly. Data scientists apply analytical and statistical thinking and programming techniques to identify and extract patterns in large sets of data.

They utilize the data to create machine learning models and then utilize the results from that to create data-based answers to complex problems within different businesses.

Job Roles in Data Science

Data Scientist: Data scientists are to identify what questions need to be addressed and where to obtain the corresponding data. Their requirements include business sense, problem-solving abilities, and skills in data extraction, cleaning, and visualization. Companies employ data scientists to acquire, filter, store, and analyze volumes of text data that we refer to as big data, which is then analyzed and presented to decision-makers for business purposes.

Environmental Data Scientist: Data scientists who specialize in the environmental field study the connections as well as relations that exist concerning the natural and physical setting, identify patterns and causes of various processes in the ecosystem, and gain techniques to interpret data that depicts land, water, air, and wildlife. They get a strong grounding in ecological science, and essential skills in computing and analysis for handling data and making inferences and interventions to solve environmental problems.

Data Analyst: In simple terms, data analysts are situated mid-way between data scientists on the one hand, and business analysts on the other. They are given sets of questions that they come up with answers to and data they sort and analyze in order to get results to inform business leadership decisions. Analysts are expected to interpret data analysis in qualitative terms and ensure that the information recommended is put into actionable format clearly and understandably to a variety of audiences.

Data Engineer: Big data itself consists of unstructured data that is changing at a fast rate and the data engineers are responsible for this. They concentrate on the establishment, implementation, maintenance, and fine-tuning of data conveyance paths, structures, or pipelines to transform and transmit data to analysts for querying.

Data Architect: Data architects are the ones who make the input data available and in the right format for data scientists or analysts to work on. They are involved in designing, developing, and implementing database structures that will suit the mode of the business and demand in the job market. Due to the increasing dependencies on these database systems, their main role is to ensure their proper functioning.

Machine Learning Scientist: A machine learning scientist a senior scientist or research scientist, or a research engineer discovers new ways of handling data and develops new processes to apply. They usually serve in research and development and, consequently, their activities result in the publishing of research.

Machine Learning Engineer: These professionals are aware of the various other techniques such as clustering, categorization, and classification of machine learning algorithms. There are two areas of competency where machine learning engineers are required, namely, statistics and programming competency in addition to basic knowledge in software engineering.

Business Intelligence Developer: They are the ones responsible for creating BI solutions responsible for helping the business users get the data they need for certain decision-making at the right time. Currently, business intelligence developers possess the fundamental knowledge about the business models and their applications.

Data Storyteller: What is important to understand here is that data storytelling is often mixed up with data visualization. Data storytelling is not merely the practice of displaying the data and producing reports and statistics; instead, it includes establishing the story that can encompass that data and applying it to make others comprehensible to others.

Database Administrator: A database administrator is responsible for a database system and ensuring that the database performs its tasks as expected, controls the data traffic to the database, and is in charge of a backup and/or recovery system.

Find here the other best courses in New Zealand:

Skills & Qualifications Required For Data Scientists

Data scientists are able to develop sophisticated numerical models in order to structure and analyze large volumes of knowledge and information in order to answer questions as well as to help formulate strategies within the context of their organization.

Data science jobs are closely related to computer science, engineering, mathematics, and business studies as they demand programming skills, mathematical & statistical skills, and domain-specific knowledge.

The job description of a data scientist implies that they should be inquisitive and have the desire to see results as well as having industry-specific knowledge besides good communication skills so as to be in a position to explain results that are complex in nature to other people.

For this reason, data science is the application of algorithms and statistical methods, so students have to devote a lot of time to mathematics and statistics. That is why, high school students willing to become data scientists should attend classes in different subjects including Linear Algebra, Calculus, Probability and Statistics, etc.

When it comes to colleges and Universities, Mathematics and computer science in addition to statistics also play a vital role. It requires students to know programming languages for handling data, statistics software, and other software for displaying results.

There is no specific major needed, but it is required for data scientists to have at least a bachelor’s degree; other positions may require a master’s degree or Ph.D. Some of the typical academic disciplines that data scientists receive their degrees from include; Mathematics, Statistics, Computer Science, Business, and engineering among others.

Acquiring certain specialized skills within the domain of data science can set these professionals even farther apart. For instance, the employees in the specific field of machine learning employ high-level programming knowledge to develop unique algorithms that are capable of independently collecting and adapting to optimality.

The following are identified as key competencies for careers across the data science practice. The level at which such skills are employed depends on the nature of the job of the position in question.

Data management: Gathering data, structuring the data, pre-processing the data, and transforming the data.
Coding: Using a variety of languages like SQL, Python, or R; Java, C ++, etc.

Programming: Developing computer algorithms and utilizing methods for emerging solutions for multiple issues by processing extensive datasets.

Data visualization: By applying Business Intelligence tools like Tableau, Microsoft Power BI, Looker, ArcGIS Pro, and others.

Database modeling: Learn about databases and how these are organized.

Statistical analysis: Using data analysis techniques for a better understanding of the situation, using data analysis to solve different problems, and developing skills in qualitative pattern recognition and qualitative anomaly detection.

Mathematical knowledge: Using mathematical skills to perform computations on the data for generating various measures.

Machine learning: Applying algorithms and statistical models that would allow the computer to learn from data on its own.

Computer science: Applying concepts from artificial intelligence, database management, human-computer interface design, numerical analysis, and software engineering.

Data storytelling: Presenting information in a form that can be used by decision-makers in an organization often for a business audience.

List Of 10 Best Data Science Courses in New Zealand

Here are the details about the best data science courses in New Zealand

1. IIM SKILLS

IIM SKILLS is India’s premier institute for emerging technologies, offering guidance, research, and educational opportunities through certifications in Data Science, Analytics for Business, Artificial Intelligence, Technical Writing, Digital Marketing, Financial Modeling, Business Accounting and Taxation, Investment Banking, content writing, and more.

Their data science courses in New Zealand include capstone projects, real assignments, and in-depth data science training. IIM SKILLS’ data science courses assist students in developing and improving the technical skills required to enter the profession of data science.

It is a rigorous curriculum that includes projects and industry sessions to help students obtain a thorough understanding of a wide range of tools and languages, including Tableau, Python, and several machine-learning methodologies.

COURSE CURRICULUM

  • Statistics in Data Science
  • Data Science (AL & ML)
  • Data Science Using SQL
  • Data Science Using Power BI
  • Data Science Using Python
  • Data Science Using Tableau
  • R For Data Science
  • Data Science Using Alteryx

CONTACT DETAILS

Phone number- +919580740740

Email id- [email protected]

Website- https://iimskills.com/

2. NZSE College

The New Zealand Skills and Education College provides data science courses in New Zealand. The Graduate Diploma in Data Science will help you progress in your professional life. Learn important skills and in-depth information to assist managers of large and small firms in increasing efficiency, productivity, and performance.

This data science training program in New Zealand will teach you how to acquire data from various sources using real-world applications. Furthermore, this course will provide you the opportunity to obtain hands-on experience, cooperate, and find new solutions to organizational problems.

You will also complete a capstone project that combines and applies critical thinking, creativity, problem-solving, communication, technical knowledge, research, and interdisciplinary abilities acquired during the graduate diploma program.

COURSE CURRICULUM

  • Data collection and analysis
  • Advanced data engineering
  • Data transformation and management
  • Machine learning and AI
  • Big data science
  • Upcoming trends and technologies

CONTACT DETAILS

Phone Number- 0800 99 88 11

Website- [email protected]

3. New Zealand University of Technology

The New Zealand University of Technology is a well-known university that provides data science courses in New Zealand. This course will teach you the mathematical, statistical, and computational skills necessary for large-scale data modeling.

It assists both students from various disciplines and professionals who are currently employed in the industry. This data science training program in New Zealand will help you develop advanced science and database skills, as well as an understanding of the latest recent theories, tools, and approaches for statistical modeling and mathematical simulation.

After completing the degree from their data science institutes in New Zealand, you will have the broad understanding required to work as a data scientist.

COURSE CURRICULUM

  • Data Mining and Machine Learning
  • Data Warehousing and Big Data
  • STEM Research Methods
  • Mathematical Modelling and Simulation
  • Advanced Topic in Science
  • Optimization and Operations Research
  • Choose two from
  • Artificial Intelligence
  • Bioinformatics
  • Advanced Financial Modelling and Science
  • Official Statistics
  • Computational Mathematics and Statistics
  • Research project (one semester)
  • Dissertation

CONTACT DETAILS

Phone Number- +64 9 921 9999

4. University Of New Zealand

The ability to convert data into information, knowledge, and new products is a highly valuable skill in the industry. Mastering a solid foundation of Computer Science and Statistics courses will equip you with a unique set of Data Science skills, including the ability to analyze, process, and manage data effectively in order to extract value from it.

Keeping this in mind, the University of New Zealand offers students data science courses in New Zealand. After finishing this program, graduates will be critical, reflective professionals eager to pursue professional goals and further their education.

COURSE CURRICULUM

  • Big Data Managementl
  • Datamining and Machine Learning
  • Advanced Regression Methodology
  • Advanced-Data Science Practice
  • Topics in Official Statistics
  • Statistical Inference
  • Advanced Regression Methodology
  • Statistical Data Mining
  • Time Series Forecasting for Data Science
  • Data Visualisation
  • Parallel and Distributed Computing
  • Advanced Design and Analysis of Algorithms
  • Web, Mobile, and Enterprise Computing
  • Computational Complexity
  • Algorithms for Massive Data

CONTACT DETAILS

Website- https://www.New Zealand.ac.nz/en.html

5. Manukau Institute of Technology

This institute’s data science courses in New Zealand will provide you with the training you need to utilize your analytical and problem-solving skills to assist businesses around the world realize the full potential of data. You’ll be well-equipped for a career in this vibrant and ever-changing field.

You will also learn how to plan, develop, and integrate front and back-end data manipulation, security, and data warehousing processes and technologies to help with decision-making and problem resolution.

In addition to a solid basis in analytical, technical, and theoretical ideas, their data science training program in New Zealand stresses hands-on practical approaches and teaches important human skills like communication and management.

At the end of this training, you will be able to finish a real-world project and apply your newly learned skills in the workplace.

COURSE CURRICULUM

  • Big Data Analysis
  • Business Statistics for Decision Modelling
  • Data Science and Intelligence
  • Management of ICT
  • Advanced-Data Science
  • Hot Topic in Data Science
  • Industry Project

CONTACT DETAILS

Website- https://www.studywithnewzealand.govt.nz/

6. University Of Waikato

The University of Waikato’s data science courses in New Zealand teach you how to use and administer large databases to extract important information for statistical analysis.

As a data science graduate, you will be able to apply statistical methods to a wide range of industries, including healthcare, travel, business, and energy management.

This data science training program in New Zealand will provide you with the necessary practical training to succeed in the highly competitive industry of data science.

CONTACT DETAILS

Phone Number- 0800 924 528 or +64 7 838 4625

Email-ID- [email protected]

Website- cms.waikato.ac.nz

7. Open Polytechnic of New Zealand

Open Polytechnic’s data science courses in New Zealand will help you develop the knowledge, skills, and competencies required for business data and decision-making. Students who complete this course will be able to assess the role of data science in an organizational setting. Second, examine the data requirements and apply queries in an organizational setting.

Use statistical techniques and approaches to help make business decisions. Finally, explore the ethical considerations surrounding data use in an organizational environment.

You will be required to submit evaluations for 50% of your internal evaluation score, as well as an examination worth 50% of your final grade. It is one of the best data science institutes in New Zealand.

CONTACT DETAILS

Phone Number- 0508 650 200

8. Institute Of Data

The Institute of Data provides data science courses in New Zealand for career-minded people seeking to enter the big data and AI industries. It lasts for 24 weeks part-time and 12 weeks full-time.

The course materials are intended to provide you with the abilities that organizations require in today’s rapidly changing work environment. This data science training program in New Zealand facilitates remote learning.

The interactive remote format enabled by video conferencing technology offers a rich and linked experience that includes virtual break-out rooms, shared displays, digital whiteboards, peer-to-peer discussion, and instructor support. It is one of the best data science institutes in New Zealand.

COURSE CURRICULUM

  • Statistics, and Programming
  • Exploratory Data Analysis
  • Databases and APIs
  • Machine Learning -Regression
  • Decision Trees and Ensemble Methods
  • Natural Language Processing (NLP)
  • Artificial Intelligence and Deep Learning
  • Deployment and Cloud Computing

CONTACT DETAILS

Website- https://www.institutedata.com/nz/

9. Victoria University of Wellington

Through Victoria University’s data science courses in New Zealand, you will be able to increase your knowledge and abilities and become an expert in data science.

Gain a thorough grasp of working with organized and unstructured data, as well as how to address real-world problems by combining mathematics, computer science, statistics, artificial intelligence, and machine learning.

Improve your grasp of working with massive data sets and extracting significant insights to inform high-level decisions and possibilities inside a company. Their graduates leave with an advanced understanding of data science techniques such as machine learning and statistical methodologies, as well as their applications in the world of big data.

Finally, through their data science institutes in New Zealand, you can critically analyze data requirements and sources in a number of applications spanning the sciences, humanities, business, and government sectors.

COURSE CURRICULUM

  • Core Data Science Approaches
  • Statistical Methodologies
  • Machine Learning
  • Research Preparation Course
  • An Individual Research Project
  • A Five-Week Workplace Practicum

CONTACT DETAILS

Phone Number- 0800 04 04 04

Website- https://www.wgtn.ac.nz/

10. University of Canterbury

It is one of the best data science institutes in New Zealand, designed to accommodate students from a variety of backgrounds who want to improve or expand their data science capabilities and combine them with the skills and knowledge they bring from previous studies.

As long as you are data-driven and industry-aware, their data science courses in New Zealand can improve your employability and employment opportunities.

COURSE CURRICULUM

Compulsory Courses

  • Introduction to Data Science
  • Computer Programming
  • Data Management
  • Data Mining
  • Scalable Data Science
  • Big Data
  • Data Wrangling
  • Data Science in Industry
  • Medical Data Informatics
  • Data Engineering
  • Mathematical Data Science
  • Information Systems Management
  • Data Science and Business Intelligence
  • Advanced Statistical Modelling
  • Data Collection and Sampling Methods

CONTACT DETAILS

Phone Number- +64 3 369 3999

Website- [email protected]

Frequently Asked Questions

Does data science require programming?

Programming languages, which include SQL, R, and Python, are expected of anyone who aspires to be a data scientist. These coding languages are used by analysts for certain activities that consist of statistical analysis, data mining, and reporting among others. Having incorporated a coding language or two in your CV, your chances of getting a professional job are bound to be enhanced.

Which jobs can you apply for if you have expertise in handling data analysis?

It is always a great advantage to have data science skills in your set of professional tools as there are a number of professions and occupations possible with such skills. The completion of data science courses in New Zealand fosters the following careers.

·         Data analyst

·         Database administrator

·         Systems analyst

·         Business intelligence

·         Data scientist

·         Financial analyst

Why is data science important?

Data science helps people and companies to draw some conclusions using different data. Raw data can be defined as data collected in its simplest form and data analysts in an attempt to identify meaningful patterns usually look into raw data. Following different tools and ways, they help companies and businesses to make the right choices and come up to success.

Conclusion

As mentioned in this article, data science is indeed a highly successful field that boasts several opportunities and professions. However, to take full advantage of this, one will need to acquire proper skills for the job. This is due to the fact that there are many data science institutes in New Zealand that provide the necessary knowledge and expertise to succeed in the data science job market.

The data science training program in New Zealand provided by IIM SKILLS could be exactly what is needed. It will offer you the practical experience that is required in the field. Our list of data science courses in New Zealand should assist you in determining which are the best courses suited for you.

I’m Bhavni. I have completed my Masters in Clinical Psychology and am an enthusiast of everything related to the human brain. I hope to disseminate information about mental health, and well-being and help destigmatize it through my writings. I find my solace amongst the pages of a book and the lines of my writing. Books help me expand my creative thoughts and writing helps me articulate those thoughts. My ambition is to write stories and craft narratives that become a source of inspiration for others.

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