The data analytics market has come a long way since the last decade. It was valued at USD 198.08 Billion in 2020 and projected to reach USD 684.12 Billion by 2030, increasing at a CAGR of 13.5% from 2021 to 2030.
The stats sum up the job opportunities the respective segment will offer. Tempted by the booming industry, if you aspire to set up your career as a data analyst, going for any data analytics courses can be your best bet.
But before finding data analytics courses online, you must know what data analytics is and the basic requirements to get in data analytics courses in Australia.Â
And that’s why we are here. We will help you with everything you need to know to get into a data analytics course.Â
So, What Is Data Analytics?
Data analytics involves examining data sets using different software or systems. The process has become a crucial part of every industry, be it manufacturing, finance, banking, or even retailing. It helps businesses of all sizes to make informed decisions based on data to ensure positive outcomes.Â
Data analytics improves a company’s operational efficiency and customer service, helps them step ahead of the competition, and increases revenue.Â
It helps data analysts use historical and real-time data to foresee the market trends and make decisions accordingly.
Data analytics has different forms, such as quantitative data analysis, qualitative data analysis, predictive analytics, data mining, and machine learning.
By completing a data analytics course online, you can become eligible for jobs like data analyst, data scientist, database administrator, and data architect with a 26% higher earning than an average software engineer in India.
Eligibility Criteria For Data Analytics Courses Online
Data analytics is an advanced industry of information technology and management; therefore, the best courses are available at the post-graduation level. The eligibility criteria for a postgraduate data analytics course is a Bachelor’s degree with a minimum of 50% marks in aggregate in science or computer science from a reliable and well-known university.
Although, its certification and diploma courses are also available to help people pave the path to a successful career.Â
You can contact the best institutions of data analytics courses in Melbourne and learn about any specific requirements to get admission.
What Data Analytics Courses To Go For?
- Analytics Immersion (Thinkful)
- Data Analyst Nanodegree (Udacity)
- Data Analyst with R (DataCamp)
- Business Analytics Specialization (Coursera)
- Data Science Specialization (Coursera)
The Skills You Need To Become A Data Analyst
- Good analytical, statistical, and problem-solving skills.
- The efficiency in coding
- Communication skills are also necessary
- Data visualization
- Quick decision-making
- Experience in data models and reporting packages
- Know to analyze big datasets and make comprehensive reporting
The Best Institutes For Data Analytics Courses In Melbourne, Australia
There are over 10 universities in Australia offering Masters in Data Science. The data analytics courses are in great demand owing to the high ROI and higher salaries than the national average. The basic requirements to get in an analytic data course include IELTS/TOEFL scores along with a bachelor’s degree.Â
The top 10 Australian universities offering data analytics courses:
| University Name | Eligibility | Course Duration (In Months) |
Tution Fee |
| The University of Melbourne | IELTS / TOEFL, Bachelor’s with a minimum of 65% | 24 | AUD 40,960 / year |
| The University of Sydney | IELTS/TOEFL, Bachelor’s with a minimum of 65% | 12 | AUD 43,500 / year |
| RMIT University | IELTS/TOEFL | 24 | AUD 28,800 / year |
| Monash University | IELTS/TOEFL, Bachelor’s with a minimum of 60% | 12 | AUD 33,600 |
| La Trobe University | IELTS | 24 | AUD 35,400 / year |
| The University of Adelaide | IELTS/TOEFL, Bachelor’s degree with a GPA > 4.5 | 24 | AUD 43,000 / year |
| University of New South Wales | IELTS/TOEFL | 20 | AUD 44,820 / year |
| Deakin University | IELTS/TOEFL | 24 | AUD 35,000 / year |
| The University of Queensland | IELTS/TOEFL, Bachelor’s: GPA > 5 | 24 | AUD 45,120 / year |
| Swinburne University of Technology | IELTS/TOEFL | 24 | AUD 34,000 / year |
Data Analytics Syllabus
| Structures and Algorithms | Data Visualization | Marketing Analytics |
| Probability and Statistics | Statistical Analysis | Pricing Analytics |
| Relational Database Management Systems | Forecasting Analytics | Social Network Analysis |
| Business Fundamentals | Simulation | Retail Analytics |
| Text Analytics | Machine Learning | Customer Analytics |
| Data Collection | Optimization | Supply Chain Analytics |
Top Companies Offering Data Science Roles
| RBS | Deutsche Bank | ||
| MachinePulse | ICICI Bank | Microsoft | |
| Amazon | Flipkart | Bank of America | ZS Associates |
| The Smart Cube | Quantium Analytics | Walmart Labs | |
| JP Morgan Chase | HSBC | AT Kearney | Tumblr |
Things You Should Know Before Choosing A Data Analytics Course
The curriculum
To be a data analyst, you must know about machine learning, deep learning, computer science, mathematics, or python. Missing out on any skill or knowledge can cost you your career as a data scientist.
Therefore, whenever you plan to join a data science course, ask the respective institution about the curriculum they follow. This will help you pick the right course.
It is one of the most important things to ask if you don’t want to miss out on any skills.
Practical Sessions
You cannot become a data analyst only with theoretical knowledge. Therefore, the need of practical experience is necessary. Before enrolling in a data science course, check how many practical sessions it involves. Practical learning will add more to your efficiency level and get a higher salaried job.
The right mentors
Before selecting a data science course, ensure that the trainers/mentors have considerable experience in the respective field. Having an expert as a mentor will help you understand the industry better, how things work, and how to find the best solutions for all problems.
Placement
The goal of doing an analytic data course is to land a job. Therefore, go for an institution that conducts interviews for the students.Â
Parting Thoughts
The data science field will get more advanced and bigger in the coming time. Therefore, it’s high time to gain expertise in the respective industry and dive deeper into its booming benefits. Regardless of its industry type and size, every company is looking for a data analytics professional. So, by enrolling in any data analytics courses online, you can bag a job in the top data-driven companies.Â
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