Top 15 Data Analytics Courses in Brisbane With Placement

January 30, 2023January 30, 2023 Satyajit Sen 0 Comments

The field of data analytics is booming, and the demand for skilled professionals has never been greater. With an overwhelming amount of data being generated every day, staying ahead of the game has never been more critical. As a student or professional, you have the right opportunity to learn the latest tools and techniques for working with Big Data by selecting the best data analytics courses in Brisbane.

In Brisbane and across Australia, top institutions are offering cutting-edge courses to equip you with skills to work in the field of Big Data. Let’s take a closer look at the field of data science and the courses available in this article.

What is Data Analysis, and Why is It Important?

Data analysis is the process of extraction and evaluation of data using statistical and logical techniques. It can also be described as the process of inspecting, cleaning, transforming, and modeling raw data with the goal of discovering useful information and supporting the decision-making process.

In today’s world, which is data-driven, the ability to analyze data has become a valuable skill across every industry. Data analysis has become essential for various industries and can be applied to a wide range of fields, such as finance healthcare, marketing, research, etc. This includes anything from identifying patterns and trends to making predictions and decisions based on data.

In the business world, data analysis can be used to identify market trends, optimize marketing campaigns, and help make strategic business decisions. In health care, data analysis can be used to improve patient outcomes and streamline clinical operations.

Every government uses data analysis to monitor many critical decision-making measures to inform policymaking decisions. From social media to e-commerce, data is being collected on every aspect of our lives. Our tastes and preferences and our dislikes are being collected to create products and content accordingly.

This is possible only through data science and data analysis, which is why companies are looking for data analysis skills to help them make sense and make better decisions and stay ahead of their competition. This has led to an increase in tech platforms that are providing data science and data analytics courses in Brisbane and Australia.

Hence, Data analysis is both a versatile and crucial skill that is high in demand across many industries, and good data science or data analytics courses in Brisbane can provide individuals like you with a world of opportunities for yourselves and help you gain valuable skills that are highly sought after in today’s job market.

The Current State of Data Analysis Job Market in Brisbane

The current state of the data analysis job market in Brisbane is booming. With the increasing demand for data-driven decisions, the demand for data scientists and data analysts has risen significantly in recent years. According to data from the Australian Bureau of Statistics, the number of data professionals in Brisbane has grown by 25 % in the last five years.

One of the biggest factors leading to the growth of data analyst jobs in Brisbane is the increasing adoption of big data technologies. With the rise of big data and the internet of things(IoT), businesses are now able to collect and store vast amounts of data, which can be used to gain insights and make better decisions.

As, a result, many companies are now looking to hire data analysts to help them make sense of this data and extract valuable insights. Another factor contributing to the growth of the data analysis job market in Brisbane is the city’s thriving start-up culture. Many of the city’s new companies are focused on developing new technologies and services that leverage data analytics, and they would require talented data professionals to help them achieve their goals.

In terms of specific roles, there is high demand for data analysts, data scientists, and data engineers. Other in-demand roles include data architects, data visualizers, and data governance specialists. Overall, the current state of the data analyst job market in Brisbane is strong and shows no sign of slowing down.

With a growing number of businesses and organizations recognizing the value of Big data and its effect on decision-making, the demand for data professionals is set to grow in the coming years. It is evident from the following figures:

Data Scientist Salary in Brisbane, QLD

Starting salary – AU$49k – AU$90k

5yrs experience – AU$77k – AU$143k.

This presents individuals interested in this field with a unique opportunity to learn the right skills and experience high-paying careers in this field by choosing the right data analytics courses in Brisbane.

Popular Data Analysis Courses

Rank #1. Data Analytics Courses in Brisbane

1. Bachelor of Science (Data Science) – University of Melbourne (in person)

Bachelor of Science (Data Science) is a 4-year undergraduate degree offered by the University of Melbourne
The program is designed to give students a comprehensive understanding of data science and its applications
The course covers topics such as data visualization, machine learning, data mining, and statistical analysis
Candidates will also have the opportunity to work on real-world projects and gain hands-on experience
The program is offered in person at the University of Melbourne campus
Graduates from this program will be well-equipped to pursue a career in data science or related fields
Graduates can work in a wide range of industries such as finance, healthcare, retail, and government.
The total course fee is about AUD 78000.

Rank #2. Data Analytics Courses in Brisbane

2. Master of Data Science – University of Sydney (in person)

The Master of Data Science course at the University of Sydney is a 1-year full-time or 2-year part-time program with total credit points of 72.
The course is designed to provide students with a strong foundation in data science and its applications in various industries.
The program covers a wide range of topics such as machine learning, data mining, big data, statistical modeling, and data visualization.
Students will also get the opportunity to work on real-world projects and gain hands-on experience in data analysis and modeling.
The course is suitable for students with an undergraduate degree in a quantitative field or those with a background in computer science or mathematics.
The program is taught by experienced faculty members and industry experts who have a wealth of knowledge and experience in the field of data science.
Upon completion of the course, graduates will have the skills and knowledge to pursue a career as a data scientist, data analyst, or data engineer.
The course also prepares students for further studies in Ph.D. or research-based programs.
The University of Sydney has state-of-the-art facilities and resources for students, including access to high-performance computing and data visualization labs.
The course also provides students with the opportunity to engage with industry partners and gain insights into real-world data science applications.
The course fee for year 1 (48 credits) is about AUD 39,000.

Rank #3. Data Analytics Courses in Brisbane

3. Data Science and Machine Learning Bootcamp – General Assembly (in person)(Online)

The Data Science and Machine Learning Bootcamp at General Assembly is an in-person course that provides hands-on training in data science and machine learning techniques.
The course is designed to give students a comprehensive understanding of the data science process and the tools and techniques used in the field.
Topics covered include data cleaning and visualization, statistical modeling, machine learning algorithms, and big data technologies.
Students will work on real-world projects and use industry-standard tools such as Python, R, and SQL.
The course is suitable for those with some experience in coding and statistics and is ideal for professionals looking to transition into a data science career or to gain additional skills in the field.
The course is full-time and takes 12 weeks to complete.
Upon completion, graduates will receive a certificate of completion and will have the opportunity to showcase their projects in a final presentation to industry professionals.
The course is conducted in the city of Sydney, Australia but also has online support so that you can complete the course from the comfort of your home.
The total course fee is AUD16,450 and financing offers are also available.

Rank #4. Data Analytics Courses in Brisbane

4. Data Science and Big Data Analytics – Monash University (in person)(online)

Monash University has Data Science courses ranging from undergraduate to postgraduate programs designed for students interested in the field of data science.
The course covers a range of topics including data mining, machine learning, statistical modeling, and big data analytics.
The duration varies according to the course.
Students will learn to use various tools and techniques to extract insights from large and complex datasets.
The course also includes a real-world project which allows students to apply their knowledge in a practical setting.
Graduates of the course will be equipped with the skills and knowledge to work in data science and big data analytics roles across various industries.
The course is suitable for students looking to advance their career in data science, or for those who are interested in pursuing a Ph.D. in the field.
The course fees for the program will depend on the course itself.

Rank #5. Data Analytics Courses in Brisbane

5. Applied Data Science with Python Specialization (University of Michigan) – Coursera (Online)

Applied Data Science with Python (University of Michigan) is a 5-course specialization offered on Coursera.
It is designed to give people who already have a programming background or knowledge of Python the skills to be able to do data science with Python.
The course covers topics such as plotting and charting, machine learning, text mining, and social network analysis.
Enrollments for the course start regularly, making it accessible to students with varying schedules.
The course is offered on a subscription-based model, with a monthly fee of $59 AUD to access the course material and earn a certificate upon completion.

Rank #6. Data Analytics Courses in Brisbane

6. Business Analytics Specialization (Wharton University of Pennsylvania) – Coursera (online)

Business Analytics (Wharton University of Pennsylvania) is a course offered by Coursera online
The course is designed to provide an introduction to how data is used in business
It is a 5-course specialization that covers topics such as data analysis, statistics, and Excel skills
The course is suitable for beginners who are considering a career in data science or business analytics
The course fee is around AUD $399 per year.
The course is offered by the Wharton School, one of the top business schools in the world
Upon completion, students will be able to interpret data sets and advise on business strategy
The course is self-paced and can be completed within a few months
The course includes video lectures, quizzes, and peer-graded assessments
The course includes hands-on projects and real-world case studies to apply the concepts learned.

Rank #7. Data Analytics Courses in Brisbane

7. Data Scientist Nanodegree – Udacity (online)

Data Scientist Nanodegree is a 4 monthly program offered by Udacity online
The program covers topics such as machine learning and applied data science
Requires knowledge of Python and SQL, which can be learned through Udacity’s Data Analyst Nanodegree program
The program is designed to provide students with hands-on experience in building and deploying models
Includes real-world projects and mentorship from industry experts
The program fee is approximately $399 per month
Flexible learning schedules and self-paced options are available
Upon completion, graduates will receive a nano degree certificate and have the opportunity to showcase their work in a portfolio.

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Rank #8. Data Analytics Courses in Brisbane

8. Data Science Course in Melbourne – Simplilearn (online)

Data Science Course offered by Simplilearn is an online course designed for individuals looking to gain a comprehensive understanding of data science and its applications.
The course covers various topics such as data exploration, data visualization, statistical modeling, machine learning, and big data analytics.
It includes hands-on projects and case studies to provide practical experience to the learners.
The course is suitable for professionals from various backgrounds such as IT, engineering, statistics, and business.
The course fee is $1,790, and the duration of the course is approximately 40 hours.
Simplilearn offers flexible learning options, and learners can access the course content anytime and from anywhere.
The course is self-paced and can be completed within 12 months.
Upon completion of the course, learners will receive a certification from Simplilearn.
The course also provides access to a dedicated learning management system, online support, and a community of learners for peer-to-peer interaction.

Rank #9. Data Analytics Courses in Brisbane

9. Data Analysis with Python – IBM on Coursera (online)

Data Analysis with Python is an online course offered by IBM on Coursera.
The course is designed to teach individuals how to use Python to analyze and visualize data.
The course is divided into 4 modules, each focusing on different aspects of data analysis such as Python basics, data visualization, and statistical analysis.
The course covers topics such as Python libraries such as Pandas and Numpy, data visualization using Matplotlib and Seaborn, and statistical analysis using Scipy and stats models.
The course is suitable for individuals with little or no experience in data analysis and programming.
The course requires a basic understanding of Python programming and statistics.
The course fee is not mentioned, but you can enroll in this course via coursera.org with a 7-day free trial.

Rank #10. Data Analytics Courses in Brisbane

10. Data Analysis and Visualization – RMIT University on Coursera (online)

Data Analysis and Visualization is a 4-week online course offered by RMIT University on the Coursera platform.
The course is designed for individuals who have a basic understanding of statistics and want to learn how to analyze and visualize data using Python.
Students will learn how to use Python libraries such as NumPy, Pandas, and Matplotlib to manipulate and visualize data.
The course also covers statistical concepts such as probability and hypothesis testing, and how they can be applied to data analysis.
Students will also learn how to use Python to perform data analysis tasks such as data cleaning and data exploration.
The course fee is not mentioned, but typically Coursera charges per course, or you can opt for a monthly subscription.
Upon completion, students will receive a certificate from RMIT University.

Rank #11. Data Analytics Courses in Brisbane

11. Data Science With Python – DataCamp (online)

Data Science with Python is a course offered by DataCamp, an online learning platform that focuses on coding and data science.
The course covers various topics such as Python programming, data manipulation, data visualization, and machine learning.
Students will learn how to use popular Python libraries such as NumPy, Pandas, matplotlib, and Scikit-learn to analyze and visualize data.
The course is designed for individuals who have some programming experience and are interested in learning how to use Python for data science.
The course is offered online and students can choose to purchase a monthly or annual subscription, which starts at $12.42/month for individuals.
The course is self-paced and students can expect to complete the course in around 30 hours.
The course also offers hands-on exercises, quizzes, and projects to help students to apply their knowledge in real-world scenarios.
The course also offers a certificate of completion to students who finish the course and pass the final project.

Rank #12. Data Analytics Courses in Brisbane

12. Data Science Fundamentals – Microsoft on edX (online)

Data Science Fundamentals is a course offered by Microsoft on the edX online platform.
The course is designed to provide an introduction to data science and its applications.
It covers key concepts such as data collection, cleaning, and exploration, as well as statistical analysis and machine learning.
The course is taught using Python and its popular libraries such as NumPy and Pandas.
The course fee is not specified, but edX offers free audit and paid verified certificate options for the course.
Upon completion of the course, learners will have a strong understanding of the fundamentals of data science and be able to apply this knowledge to real-world problems.
This is a self-paced course with an estimated time of 15-20 hours a week for 4 weeks.
The course is suitable for beginners and does not require prior experience in data science or programming.

Rank #13. Data Analytics Courses in Brisbane

13. Data Analysis With Excel – ExcelR (online)

Data Analysis with Excel is an online course offered by ExcelR, a leading provider of data science and analytics training.
The course covers a wide range of topics including data visualization, statistical analysis, and data modeling using Excel.
The course is designed for professionals and students who want to improve their data analysis skills using Excel.
The course is self-paced, and students have access to online resources, including video lectures, quizzes, and hands-on exercises.
The course fee is $199, and students will receive a certificate of completion after finishing the course.
ExcelR also offers various other data science and analytics courses including data science with R, Python, Machine Learning, and big data.
ExcelR also offers corporate training, flexible timings, and also offer placement assistance.

Rank #14. Data Analytics Courses in Brisbane

14. Data Analysis and Visualization – Data Science Dojo (online)

Data Analysis and Visualization is an online course offered by Data Science Dojo.
The course is designed to teach students the essential skills needed for data analysis and visualization.
Students will learn how to use tools such as Excel and Tableau to clean and analyze data, as well as create compelling visualizations.
The course is suitable for beginners and covers topics such as data preparation, data manipulation, and visualization best practices.
The course is self-paced and can be completed in about 10 hours.
Students will be provided with hands-on training, quizzes, and exercises to reinforce learning.
The course fee is not specified, but Data Science Dojo offers various package options with different fees.
Upon completion, students will receive a certificate of completion from Data Science Dojo.

Rank #15. Data Analytics Courses in Brisbane

15. Data Science and Machine Learning with Python – Data Science Society (online)

Data Science and Machine Learning with Python offered by the Data Science Society is an online course with a fee.
This course is designed for individuals who want to gain knowledge and skills in data science and machine learning using Python.
The course covers topics such as data preprocessing, data visualization, statistical analysis, and machine learning techniques.
The course is self-paced.
Upon completion, students will receive a certificate of completion.
The course fee includes access to online learning materials, quizzes, and assignments.
Students will have access to a dedicated instructor for queries and support throughout the course.
The course is designed for individuals with basic knowledge of Python and statistics.
The course is suitable for professionals and students looking to gain skills in data science and machine learning.

Therefore, if you are looking for data analysis courses in Brisbane, institutions offering online mentorship might be your way to go.

Tips to Choose a Course?

Choosing the right course, especially data analytics courses in Brisbane, for your career in data science can be a daunting task, with many options available online and in person. The decision should factor in your current knowledge level, career goals, and your schedule. Some of these tips might help you make the right choice for your course:

1. Assessing your current knowledge level:

It is important to recognize if you are new to this field. If you are, then you should start with beginner-level data analysis courses in Brisbane that helps cover important basic concepts that include statistics, programming, and data visualization. If you have some experience, you can consider more advanced courses that focus on specific areas such as machine learning or big data analytics.

2. Consider your career goals:

Data science is a diverse field and if you’re looking to pursue a career in this, it’s important to choose a course that will provide you with the skills and knowledge you need. For example, if you have an experience in finance, a course in data analysis that focuses specifically on data visualization and python might help you excel in your career as a financial analyst.

3. Consider the format of the course:

Online courses are a great format for someone with a job and a busy schedule, or who prefer to learn in their own space. A flexible learning option is especially beneficial to work professionals looking for data analytics courses in Brisbane. Whereas, in-person or in-class courses can provide a candidate with a more structured learning environment and the opportunity to interact and network with other students and instructors.

4. Hands-on experience is a plus:

Data Science like any other field is practical in nature, and it’s important to choose data analysis courses in Brisbane that will provide you with hands-on experience working with real-world data. This will help you develop skills that are required in the workplace.

5. Check reviews and reputation of courses and faculties:

Before enrolling in a course, you should research the reputation of an institution or organization and its teaching faculties. Many institutions market their courses aggressively with guarantees and assurance that they might not be able to keep. Read the fine print of the course brochure, especially the fee structure and payment method, which many institutions use to swindle many candidates of their money. Look for reviews from past students to get an idea of the quality of courses and the instructor.

6. Certification:

Look for courses that offer certification upon completion of the course. Select a course whose certification has more value in the job market and can be used to demonstrate your knowledge and skills to potential employers.

Tips To Stand Out in the Job Market

1. Strong Foundations:

Building a solid understanding of the fundamental concepts of data science is important for any candidate looking for a course. Whether you are a beginner or an experienced professional, it is important to choose a course that covers the core concepts of data science deeply if you want to stand out in the industry.

2. Focus on a specific area:

Specialization in a specific area can make you look attractive to employers looking for candidates in those specific or related roles. For example, a fintech company might prefer a data analyst with prior experience or knowledge of financial securities. There are various filed in data science itself like natural programming language or deep learning which you can focus on for expertise.

3. Practical experience:

Employers always prefer candidates with practical experience. This is why it is important to choose a course that provides you with industry experience working with real-world data sets and projects.

4. Networking:

Make connections with other data science professionals in the Industry. LinkedIn is a nice platform where you can connect with your peers and experienced professionals. You can also learn about job opportunities and gain insights into the field through this platform.

5. Making a portfolio:

It is essential to have a portfolio of your work, which can showcase your skills and help you stand out from your peers. Make sure to include the best work and its results. Testimonials of your clients, manager, or instructors on your portfolio will also highlight your skills.

6. Don’t stop learning:

Data science is a rapidly evolving field. To stand out in the job market, you must stay up-to-date with the latest trends, tools, and techniques. Looking for opportunities to learn and grow should be a non-stop process to remain relevant in any field.

7. Look for a course that provides mentorship:

Some courses offer mentorship to their students. Working with a mentor can give you valuable insights and guidance on how to succeed in the industry.

8. Look for a course with a good reputation:

Consider the reputation of the institution and the course. A course with a good reputation will be well-respected in the industry and will make it easier for you to find a job after graduation.

9. Look for a course that offers job assistance:

Some institutions offer job assistance to their students. This can include help with resume preparation, interview skills, and job search strategies.

FAQs

1. What salary can I expect after completing data analysis courses in Brisbane?

It is difficult to say as salaries depend upon many criteria such as your interview performance, job profile, company, experience, etc. On average the job profile of a data analyst offers starting salary of AU$49k – AU$90k and after 5 yrs experience AU$77k – AU$143k in Brisbane QLD.

2. Can anyone take data science and data analysis courses in Brisbane, regardless of previous experience or knowledge?

Yes, the interesting thing about data analysis is that anyone can learn it and grow, regardless of their previous knowledge and experience.

3. Is there a job profile or industry that I should look for after I pass the data science and data analysis courses in Brisbane?

The interesting part of data analysis and data science is that it is being used in different industries whether it be FMCG or healthcare, and after completing data analytics courses in Brisbane, it offers anyone interested to work in different industries the opportunity to increase their knowledge about different industries. As for profiles, there are some dedicated roles that you could target, which may require you to pursue a master’s degree or Ph.D. so it is advised that you should look into the profile and its requirement before making any major decisions.

Conclusion

Summing up the benefits of completing data analysis courses in Brisbane, students can expect to gain a strong foundation in statistical analysis, programming, and data visualization. In terms of future outlook, the demand for data analytics professionals in Brisbane is projected to continue growing in the coming years as more and more businesses begin to realize the value of data-driven decision-making. Furthermore, the city’s growing start-up scene and increasing emphasis on technology and innovation make it a hotbed for new and exciting opportunities in the field.

For those considering data analysis courses in Brisbane, it is recommended to research the course content and match it to your career goals. Additionally, it is important to look for opportunities to gain practical experience through internships or projects, as well as networking opportunities to build connections in the industry. Overall, studying data analysis in Brisbane can be a great step towards a fulfilling and in-demand career.

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