Are you planning to build your career in data analytics and looking for the best courses to learn the skill? Are you wondering how to become a data analyst and what are the essential qualifications to become a data analyst? If yes, then this article is a perfect guide that will also provide you with the details on the best data analytics courses in Australia.
What is Data Analytics?
Data Analytics is about analyzing, organizing, and displaying surveys and public opinion polls. It helps find a variety of audiences in different segments and demographics. This data helps to analyze the attitude of the audience and what is on trend. These collected data help to decide business leaders.
Data Analytics utilizes a lot of tools and automation to collect the needed data. The data are like the duration of time spent on a particular platform and the related activity held within the platform. So, it is to utilize and analyze the raw data to make the final decision about particular information.
Types of Data
Collections of information are called data. There are several forms and types of data and those are,
- Big Data
- Structure & unstructured data
- Machine Data
- Real-time Data
What is Big Data
Big data means a huge amount of data that will grow rapidly in the long run. This is the most complex set of data, which has very large data of past performance. This holds every information of problems that businesses couldn’t handle before.
What is Metadata
This form of data explains the information about the other data. For example, metadata about images include the author’s name, type of image, and created date. Metadata is utilized to list down and arrange the unstructured data in a well-organized manner. This helps to identify the specific data to access quickly.
What are Structured & Unstructured Data
Structured data is well organized and arranged in a traditional row and column. Unstructured data will not fit into rows and columns. Unstructured data includes photos, videos, text, and more. Comparatively, structured data is easier to access and analyze than unstructured data.
What is Machine Data
Machine data is known as machine-generated data. This is the data that is collected without human interaction. Machine data is used to collect the data and segregate it by the users like computers, smartphones, and other forms of devices. Humans are involved in altering machine data, it can be analyzed and collected by humans.
What is Real-time Data
Real-time data is ready to present when it is acquired. This type of data is very handy in getting to know the current information and helps to stay updated and decision making. For Example, stockbrokers track stock activity in real time by using the stock market ticker. The data is forwarded to users ASAP.
Types of Analytics
There are four essential types of Data Analysis. and they are,
- Diagnostic Analytics: Helps to find why it happens
- Descriptive Analytics: Helps to find what happens
- Prescriptive Analytics: Helps to suggest ideas to avoid future problems and to progress
- Predictive Analytics: Helps to forecast the future
What is Diagnostic Analytics?
Diagnostic analytics helps to understand the actions that have happened in the past. It helps to gather all the information to find out why we get this result. You can find all the activities and performance that happened in click-through rate or the rise and fall of sales in the specified season period.
What is Descriptive Analytics?
Descriptive analytics is used to format the collected data only. This is mostly used to find the relationship and trends which take place in the present and past. Descriptive analytics is utilized to communicate about the switch and changes that occurred over time. This type of analysis helps to take a step forward with a positive decision.
What is Prescriptive Analytics?
Prescriptive analytics is about using the data which has been collected to determine a positive decision. By understanding all the collected factors of data, we can come up with the next step of what to do. Prescriptive analysis helps to analyze the risk factor of a particular and gives an idea to overcome that risky situation.
What is Predictive Analytics?
Predictive analytics itself says the term of this analysis. This is the analysis that helps to forecast the future outcome of an action. Predictive analytics helps to take a look at the historical and current performance to understand the flow of the company. This helps to have an idea of deciding to make use of the resources to get positive results.
Benefits of Data Analytics
All business professionals can benefit from Data Analytics because it is a powerful tool that helps to make successful decisions for the business to grow well in the future. You can build a business strategy with the collected data. One could fail the opportunity to grasp the huge chance if he doesn’t care about Data Analytics.
- Helps to personalize the Client Experience
Usually, every type of business collects the customer’s data from a variety of platforms. They will collect the data from e-commerce, social media, and also form physical retail shops. By utilizing data analytics, a company can provide a more personalized experience for customers.
- Helps in Decision Making
A company could utilize data analytics to push the business to stay financially successful or could help to minimize loss. Every successful decision is successfully taken for the company, and it’s only possible through the collection of essential data. Also, it helps to get multiple perspectives for making a successful decision.
- Helps to Ease Up the Process
Help the organization to operate without any higher level of pressure, and also to perform efficiently to be more productive. It boosts your company forward to reach the goal. Helps to understand company potential, and productivity to avoid the situation to perform less during the higher level of demand.
Helps to Reduces Risk and Deals with Obstacles
If you’re running a business you can’t just avoid risk, because the risk is part of the business. Handling your customers, employees, and legal issues are the major places where you will face risk in every type of business. Data analytics helps to recognize risks and determine solutions and preventions.
- Helps to Strengthens Security
Every business needs to secure its data from theft. Because the data are sensitive, many competitors can try to steal the data to overperform your company. Data analytics can ensure the amount of security. You’re able to analyze and monitor the data, and if anything goes wrong, you will receive an alert to prevent any data theft.
Who Needs Data Analytics?
Any business people or any professionals who need to make a successful decision can utilize data analytics to enhance their productivity. Data analytics help to develop strategies to make a decision. These are the professionals that use Data Analytics,
- Human Resources: Human resources uses data analytics in the way to develop the employee’s performance by the past performance data, which helps to increase the productivity of the current employees.
- Marketers: With the customer’s data and their activity, a marketer can target a particular type of audience and make it possible to reach the product in their hands.
- Product managers: They are responsible for educating the company about the product and understanding the user experience with the product. It helps to understand the product performance, and also helps to enhance further development.
- Finance professionals: It helps finance professionals to collect the necessary information to get a clear view of revenue generated by the company.
Steps in Data Analysis
Business at present has much more available data than in the olden days. All of these available data could explain a lot of ways to deal with even a single task. Many businesses have begun to adopt data analytics to stay updated and connected with their targeted audience. So these are the steps that you will be handling while performing data analytics.
Step 1: Classify Goals & Questions
Identifying your doubts and goals is the first step in performing data analytics. More like creating a suggestion list before experimenting, you must search for the relevant answer for the targeted questions. List out the problems, and list out the needed information for your business.
Understand the situation you’re handling. Specify the circumstances like, do you want to solve the existing problems? Or want to predict how your company will perform in the future with the current decisions? These types of questions will help you to focus on choosing the essential data and decide what type of analysis is needed.
Step 2: Gather Data
You should need the relevant data before analyzing. Data like tracking leads, sales records, net promoter scores, and customer demographics could help you get a wider view. Make sure that you have collected all the necessary data before utilizing the business intelligence tools.
The number of data depends on the number of questions that you want to answer. Insufficient data can negatively affect the result of your analysis. Making sure that all the necessary data is collected and stored safely to access when it’s needed is smart work.
Step 3: Identify Analysis
If you have collected all the necessary data, you should start analyzing. Picking up the method of analysis mostly depends on the goals and questions to choose the relevant type of analysis. Diagnostica analysis helps to identify the cause and finds solutions for the current situation. Predictive analysis helps to forecast future performance by utilizing historical records and statistical modeling. The chosen analysis must match the purpose of the problem.
Step 4: Data Manipulation
After collecting all the data, it’s more important to organize and filter the unnecessary data. The data should be ready to use before you start the analysis process. Make sure that all the data is in usable way. This helps to avoid using ineffective data while preparing the analysis process. Spending some extra time with care in cleansing the data can save you from a negative result. This is a very crucial task to be done because cleansing the data requires more accuracy.
Step 5: Analyze the Outcome
Understanding the result is very important after analyzing the data. Just gather all the ideas about your analysis and create a visualization. You can use any available business intelligence tool that helps you to visualize the data in multiple ways. Utilizing tools to visualize the data fasten up your work.
Merging multiple visualizations in a single report allows you to explain the whole performance. This helps to make decisions and make changes in the performance and also helps to focus on the necessary places.
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Top 10 Data Analytics Courses in Australia
1. Torrens University Australia
Torrens University is one of the top 10 universities in Australia. They are well known for the quality of education they provide, and their old student has mentioned that they had the best education experience. Torrens University Australia offers one of the top data analytics courses.
This is an online diploma course with a 6-month duration, it depends on the course you’re choosing. This course is about gaining basic knowledge about artificial intelligence and data analytics. You could develop your fundamental skills, which are essential in a career in data analytics and artificial intelligence. You must consider this one while considering data analytics courses in Australia.
2. Swinburne University of Technology
The Swinburne University of Technology provides data analytics courses in Australia. This university successfully ran for over 110 years. They are very concerned about providing equal opportunities for students. Students could experience varieties of cultural experiences. This university has an international reputation for its high-level quality of education.
You don’t need to have an IT background knowledge. Their boot camp will help you to accelerate your learning. The course duration is 6 months, full-time & part-time. At the end of the course, you will be ready to have a career as a data analyst. No doubt this one comes under the list of the best data analytics courses in Australia.
3. University of Newcastle
The University of Newcastle was established in 1965. This university has a record of being in the top 50 for the longest time in the Asia-pacific region. QS World has ranked them in the top 200 best universities in the world. This university could teach you how to extract the information and communicate information from the data.
4. University of Southern Queensland
This university has been existing for more than 50 years. Whether leading ground-breaking nationally significant defense and space research or revolutionizing, the processes used to obtain a university degree online, they have an excellent track record. They have two variants of this course, one has a course duration of 3 years and the other one has a course duration of 0.5 years.
The 3 years of course duration is titled Bachelor of Information Technology (Data Analytics) and the course with 0.5 duration is named a Graduate Certificate of Business Specialisation Digital Marketing Analytics.
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5. The University of Western Australia (UWA)
This university is a proud member of the Group of Eight. This is the only university in Western Australia that has the top 100-rank university in the 2021 QS World University Rankings. Their main campus is located in Western Australia, Perth. This university has been home to more than 23,000. This university has data analytics courses in Australia with a course duration of 1.5 years.
6. The University of Adelaide (UoA)
This university has been a member of the research universities of “Group of Eight” and they are proud members. This university holds the top 1% in the world. This university has been considered the most progressive institution. This university has data analysis courses in Australia with a course duration of 3 years. Environment, public health, economics, bioinformatics, agriculture, physics, and geosciences are the major subjects in their courses.
7. Federation University Australia
You will learn the skill of identifying, interpreting, and analyzing data trends. You can expect to be placed in a job after graduation. This data analysis course in Australia has a course duration of 3 years. You will have a project in the final year. This university is future-focused which means they will upgrade their quality of education year by year. This university has been educating students for more than 150 years.
8. The University of Melbourne
The University of Melbourne also provides one of the best data analytics courses in Australia. The duration of this course is one year. You can pursue this course online/distance. This university is one of the leading research universities in Australia. They have more than 165 years of providing education in science and arts and much more professional disciplines. This university has most of the skill development courses, which helps a lot of students to have a variety of courses to choose from.
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9. Griffith University
This is a master’s degree with a duration of 1.5 years. This university is committed to providing services to international students and they succeeded in producing quality education, support, and guidance. This university not only provides data analysis courses in Australia, but it also has more than 200 courses. They have a good reputation in teaching and research. Because of their education quality, they are continuing to be the leading university. This university has been ranked top 2% worldwide.
10. Victoria University
This course has a duration of 0.5 years. Victoria University provides a quality of world-class courses. International students can consume a variety of courses online. You can experience the real-time class from your comfortable place only if you have restrictions in place. This university suggests consuming their courses in building the experience of top-class quality and having the experience of meeting fellow students on their campus to know a variety of cultures and traditional practices.
FAQs About Data Analytics Courses in Australia
1. Is a career in data analytics good in Australia?
The answer is “YES”. Handling big data is a big support for retail companies, this information helps to forecast the trends and prepare a strategy to make a decision. These steps are only possible with market analysis. So many industries need a data analyst.
2. How to become a data analyst in Australia?
All you need is to complete data analytics courses in Australia. Work experience and portfolio in a related field will include an added advantage to being recruited. Degrees like computer science, mathematics, information technology, or statistics have a higher level of relevance to the data analyst.
3. What is the average salary of a data analyst in Australia?
After completing your data analytics courses in Australia. You as a data analyst can expect to get the average salary in Australia is $104,279 per year or $53.48 per hour. The initial payment will be expected to be $90,959 per year. After a few years of experience, you can earn above $129,670 per year.
4. What training is needed for data analytics?
Everyone can become a data analyst, but they should hold a bachelor’s degree. You can become a data analyst if you have completed your bachelor’s in information technology, maths, computer science, or statistics. Your marks should be at 50%.
5. Does coding knowledge is required for data analysis?
To answer these questions, not all data analysts need to have coding knowledge. But in most cases, coding skill is not required for the data analysis job. Even though some data analytics courses in Australia have coding languages in their subject list.
Conclusion About Data Analytics Courses in Australia
You can take data analytics courses in Australia wherever you want, and it depends on your choice. But in the case of making a successful career and shining in the data analytics field, it depends on your dedication and involvement in learning. Anyone can become a data analyst with an interest in learning, and enjoying the process of learning. Yes, don’t lose hope in the process of learning and stay focused and try to add some more interesting things to your everyday preparation. Hope we have covered all the necessary information about data analytics courses in Australia that is useful to you. All the best on your path to becoming a data analyst. May success be on your side.