In today’s data-centric era, several choices and courses in the IT sectors are available. Data analytics is one of the courses that are a vital part of many organizations. Data analytics are all about data and getting insights from it. However, it is a demanding job. One can work in any part of the globe by having such a profession. The enterprises provide upscale salaries to their workers. Data science and Data analysis both terms are somewhat dependent on each other. If you want to pursue your career in this challenging field, Data analytics courses in Sydney are one of the best options for you. Mobilize your potential and get admission in this sector. In this article, let’s first understand what data analysis is, its process and steps, tools and types for data analytics, and then universities so that you can get a clear picture of the course.

 

DATA ANALYTICS COURSES IN SYDNEY

Before we jump onto the list of top data analytics courses in Sydney, let us run through the meaning of data analytics.

 

What Is Data Analytics?

In general terms, data analytics is the sum of a collection of various skills for example computer programming language and mathematics. Data analysts use this expertise to describe and predict data to improve business results.

The primary goal of data analytics is to analyze the data and use different techniques to discover problems and then solve the issues. In today’s digitalization world, data analytics is used for creating business strategies and performing daily operations.

 

 

Types Of Data Analysts

  • Intelligence analysts
  • Medical and healthcare analysts
  • Business analysts
  • Market research analysts

 

Steps Used In the Data Analytics Process

Simple Steps That Are Involved in the Data Analytics Process Are:

The first and foremost step is to know the client’s demand like how much data the organization needs. Then you can group the data into the Excel sheet or whatever tool you used. Then categories the data according to the name, age, gender, and many more. The data may either be in numerical form or alphabet form.

The second step involves the collection of data. The data can be collected using different origins. These sources are multiple like computers, cameras, online sources, and environmental sources.

The third step includes the organization of data. Once the data is collected you must arrange the data for further analysis. The data can be put in order either on the excel. Spreadsheet or any other sheet like that.

Lastly, data is neatened up before going to data analysts for analysis. The data must be swabbed to ensure zero error and remove the duplicate data if it appears. This last step in the process helps zero errors in the data before proceeding further for analysis.

 

Tools Used In Data Analytics

Data analytics involves the use of a wide range of numerical and statistical approaches for analyzing numbers. In the present time, data analysts use a range of tools and techniques to store, process, clean, and gather data. There are modern tools that are used by data analysts to make their work easy.

Tableau

Tableau is the tool used by most of the organizations today. As it is a data-driven tool that aids in changing the data. Tableau is a visual platform tool. It has a free and paid version. The free version is available in the name of tableau public. This can be used for 14 days only.

Tableau is a powerful tool. It is flexible and secure as well. The Tableau allows you to just drag and drop your data to get visualization.

Power BI

Power BI is a data visualization tool. It is a tool that is used by professionals every day. It is an effortless simple tool that can either be used by a person who has low data knowledge. Microsoft Power BI assists you in getting a clear picture of your large data in graph form.

It offers you 120 free connectors. You can choose the graph according to your data needs. You just drag and drop your data here, which makes it easy to use.

Microsoft Excel

MS Excel is widely used by data analysts. The structured and unstructured data are first entered into the spreadsheet, which is then organized according to the number, age, gender, country, etc. Once the data is organized, several operations and equations are performed on it.

Looker

It generates the data automatically in the LookML model. As it is a cloud-based tool in data analytics. Looker aids to set graph visualization and dynamic dashboards and furthermore. To work with the Looker, firstly you must know how the basic model that is LookML works.

SAS Business Intelligence

It is a tool that is widely used for creating dashboards and common reports. SAS is a data analytics and Power BI-based tool. The interesting fact about SAS is that it automatically generates the crucial aspects of the visualization and assists you in getting useful insights from it.

 

Types Of Data Analytics

Data analytics have four types and every type has a different aim and object. Each type occurs at a different time during the process.

Descriptive Analytics

This technique first reduces the large set of data and then explains outcomes to the representative. KPIs stand for key performance indicators, it help to track the success and failure of the data. ROI metrics are mostly used across the organizations.

Many companies develop metrics to get results and production. The main motive of this descriptive analysis is to carry the useful data, process that data, and then carry out the data for further analysis and data visualization. The whole process provides better insights into the performance.

Diagnostics Analytics

The main aim of this analysis is to find the reasons for event occurrence. In general, this is in addition to descriptive analytics. First, it takes the insights from the descriptive analysis and then goes further to know the cause. The KPIs are used further to identify the cause for the enhancement or neglect of the quality of the result. This process can be carried out in three steps;

The first step involves knowing the behaviour and the motifs of the given data. And this may be the unpredicted change in the metrics.

The second step involves the collection of data that shows abnormal behaviour.

To notice why this behaviour change is occurring, a statistical technique is used that explains the relationships.

Predictive Analytics

As the name refers to itself, it predicts what will happen in the future. This works by analyzing the historical data and then seeing the present data so that it will not repeat in the future. The tools used for this analysis give insights into future holds for businesses, markets, and customer behaviour patterns.

The methods and techniques used for this predictive analysis are regression, neural networks, machine learning, and statistics.

Prescriptive Analytics

The analytics prescribe the business what they have to do. Market plans are not mostly based on predictions. Businesses are authorized to make commitments based on solid data. Moreover, this prescriptive analytics mostly depends on machine learning strategies, which will aid in finding patterns within a wide range of data sets.

Analyzing past results and errors supports improvement for future results. The different types of analytics help the organization in different ways to get useful and effective results.

 

Applications Of Data Analytics

There is a large spectrum of applications of data analytics across different sectors and companies. Let’s see some of the sectors, where data analytics is used.

Finance

Data analytics works in finance by helping to detect fraud, investment strategies, and risk management. Data analytics also provide financial consent. It also helps to develop innovative financial products. Banks and other financial institutions also analyze large amounts of data to optimize investment portfolios and many more.

Healthcare

The healthcare industry gets the benefits of data analytics by improving patient care, resource optimization, and prevention of disease. Doctors analyze the patient’s data to know the high and low-risk individuals. Then they provide treatment according to the body’s needs.

It can also help to know about disease epidemics, aid in knowing the effectiveness of treatments, and boost operations.

Cyber Security

Data analytics plays a crucial role in detecting cyber threats. The security system analyses the traffic in the network, security as well as user behaviour. Data analytics actively work by strengthening security measures. It can detect fraud and give responses in real time. Data analytics also provide security information.

E-Commerce

E-commerce makes use of data analytics to get the details about customer behaviour, and their shopping experience. When the e-commerce industries realize customer preferences by noticing their purchase history etc. what they do, the e-commerce companies offer product proposals and improve customer contentment.

Logistics

Data analytics works in this field by improving transportation routes and upgrading the supply chain efficiency. The role of the logistics industry is to reduce costs and delivery times. It leads to rising customer contentment by improving delivery times.

Internet Searching

The role of data analytics is to provide power to search engines so that the users find their related search information quickly and with accuracy. As search engines examine a wide range of data such as click-through rates, web pages as well as user queries, these search engines give more accurate outcomes.

The algorithms of data analytics consistently adjust the user needs, which provides a more personalized effect and correctness.

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Methods And Technology of Data Analytics

Data analysis can be done through several techniques and methods in data analytics.

Regression Analysis

Various methods determine the relation of variables using statistics. This can help us know how the alteration in one or two variables affects the other variable. The examples include the investment in social media leads to more consequences.

Monte Carlo Simulation

This can be used to replicate the probability of knowing the various results which cannot be estimated correctly within the process, because of random intervention. Monte Carlo simulation is mostly used for risk analysis.

Factor Analysis

In this case, the analysts have a huge amount of data which they organize so that they get clear and order-wise data within them. This may aid in getting the patterns and trends. The factor analysis assists customer loyalty by discovering and improving the domains in the business.

 

Top 10 Data Analytics Courses In Sydney With Placements

 

1. IIM SKILLS

IIM SKILLS is not very old in the industry, but it is growing rapidly. IIM SKILLS provides online live classes to scholars. This is beneficial, as anyone from any region can get admission without any hurdles.

IIM SKILLS provides a data analytics training program in Sydney that comprises 6 months of training with 2 months of internship for their students. The course covers all the necessary information that is required for today’s data analytics job position.


Course Details:

Name:  Data Analytics Course

Duration: 6 Months Of Training + 2 Months Internship (optional)

EMI: Interest Free

Certification: Yes

Cost Of The Course: 881.02 AUD + Taxes

Tools Covered in This Course Are

  • MS- Excel
  • Python
  • Power BI
  • R
  • Tableau
  • SQL

This data analytics course in Sydney from the institutes may aid those who have an interest in the sales manager profession with a high IQ in mathematics and statistics. Most people from marketing and sales can benefit from this course.


Other Professional Courses from IIM SKILLS

Contact Information

Phone: 91 9580740740

Website: www.iimskills.com

 

2. The University of Sydney-CCE

The university promises to provide you with the best knowledge about data analytics training programs in Sydney. Not only will you get theoretical knowledge but you will also gain a practical grip.

In this course, you will learn how to change raw data into useful insights, predict future trends, and then make meaningful decisions to benefit your business in this competitive environment.

Our course is not just for a professional one. Everyone is welcome here, as the course is open for all who want to get command of a data analytics course. So, if you are ready to fulfil your dreams, sign up for this course now.

Course Details:

Course Duration- 2 years

Course Fees- AUD 490

Topics Covered

  • Power BI- level 1
  • Python Programming
  • Data visualization and storytelling
  • Business Analytics
  • SQL
  • R programming course advanced

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3. Victoria University

Victoria University is in position 1 for professional skills. Moreover, the university has 130 alumni connections in different countries. It is the only university in Australia that provides award-winning learning. The data analytics courses in Sydney from this university will benefit you to get a job easily.

The university provides a master’s in business analytics that you can apply in your everyday work to solve business troubles. Get this course and take your first step to change your life with the business analytics training program in Sydney.

Course Details:

Course Duration- 4 semesters

Course Fees- AUD 17,300 (scholarship available)

The Course Covers The Following Areas

  • Data security and governance
  • Predictive analytics and big data
  • Data wrangling
  • Artificial intelligence
  • Machine learning business
  • IT project management

Entry Requirements

  • IELTS- 6.5 (Academic module)
  • TOEFL internet- overall score of 70

 

4. ExcelR

If you are looking for a highly-paid job, then data analytics courses in Sydney are the best option for you from ExcelR Institute. The institute guides you in all the areas, provides relevant skills, and prepares you for a secure job. The institute has 4000+ hiring partners.

Course Details:

Duration- 6 months with 15+ hours of training with IIT Madras for 2 days.

Certificate- An industry-leading IITM Pravartak certificate

Course fees- AUD 11,500

The Benefits of Getting Training From ExcelR Are the Following

  • Network with 350+ corporate industries
  • Real-life data projects
  • 100% surety of placements
  • 60+ case studies to ensure hands-on experience
  • Top-class trainers from various MNC organizations

The Course Has Added the Following

  • Excel
  • Advanced Excel
  • SQL
  • Tableau
  • Power BI
  • Basics of R and Python

 

5. Western Sydney University

The university provides a master’s in data analytics training program in Sydney. The data analytics courses in Sydney from this university will help you to get expertise in business analytics not just in data analytics. With a post-graduation degree from this university, you will raise your career.

You will elevate your talents with us by signing up for this course. Our business course is awarded by AACSB (Association to Advance Collegiate Schools of Business).

Course Details:

Duration- 2 years full-time

Campuses- Parramatta city UAC 950115

Domestic student fees- AUD 33,336

Career Opportunities

  • Analysis director
  • Analytics manager
  • Insight and data manager

 

6. University Of Technology-Online

The UTS upskill the career of the pupils by introducing them to the latest technology used in today’s data-driven world. You will get to know the skills such as how to understand and apply new technology. Their data analytics courses in Sydney provide you with both a basic and advanced understanding of the program.

The scholars will get to know all about the program and build their careers in this field. You will be satisfied with the material we will provide you.

Contact Information:

Phone number- 1300 477 423

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7. RMIT-Online

This is one of the best institutes for data analytics courses in Sydney. This will benefit you by teaching you all about data like how to clean, wrangle, and deliver data. RMIT has different courses related to data analytics such as business analytics, business analytics with SQL and Python, etc. It not only provides you with the degree but also the certificate courses.

You will learn from the professionals from MNC firms. They will let you know all about the industries and their experience in the organizations.

The Course Curriculum Is As Follows

  • Applied analytics
  • Machine learning
  • Data wrangling
  • Artificial intelligence

Contact Information:

Contact Number- 1300 145 032

 

8. Macquarie University

This is another popular university for data analytics courses in Sydney. They furnish both the bachelor’s and master’s data analytics programs in Sydney. It focuses on skills and insights that you use in the real world.

By being admitted to such a decent institute you will be able to gain an understanding of how to process, analyze, and clean the data. You will learn many things about data and its structure, able to solve mathematical problems using modeling approaches.

Course Details:

Course Duration- 2 years

What Will You Learn?

  • Machine learning
  • Data mining
  • SQL
  • Tableau
  • Python

Focus Areas

  • Linear models
  • Statistical inference
  • Big data
  • Data Science

Contact Information:

Phone Number- +61 (2) 9850 7111

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9. Datamites

It provides a 6-month data analytics training program in Sydney that covers all the basic and advanced information about the course. The professionals from different firms teach the scholars the best they can. You will get the chance to work on real-time projects and get internships for hands-on experience.

The data analytics courses in Sydney from data mites help you to reach your destination. They also propose Python, deep learning, data analytics, R programming, artificial intelligence, and machine learning to prepare you for the job.

Course Includes

  • Python foundation
  • Big data foundation
  • SQL database
  • Data analysis foundation
  • Predictive analysis with MI

 

10. General Assembly

General Assembly is one of the best institutes for data analytics courses in Sydney. You will be experts in all the areas that are necessary to become data analytics. When the course ends you will have all the strong understanding to become the best analyst.

The institute designed the best syllabus for their pupils including lesson plans, practicals, and many more. This is the only institute for data analytics courses in Sydney, where scholars can enjoy discounts from networking events and job courses.

On the completion of the course GA certificate is provided by the institute, which you will include in your LinkedIn profile.

The Course Covered The Following Areas

  • SQL
  • Tableau
  • Machine learning
  • Power BI
  • Artificial intelligence
  • Statistics and mathematics

Contact Information:

Contact number- +612 8183 2912

 

Frequently Asked Questions

How can I become a data analyst in Sydney?

To become a data analyst you have to complete your bachelor’s in one of the fields such as information technology, computer science, etc from the best data analyst institute in Sydney. The main thing that is required in every subject is mathematics and the interest in statistics. Data analytics courses in Sydney will benefit you in building your career.

What are the fees for data analytics courses in Sydney?

The fees vary for different universities and institutes. Also, the fee structure depends upon whether you are a domestic student or an international aspirant. Mostly it may be in the range of dollars such as $490 to AUD 4500. You will also get discounts as well as scholarships from the university. The data analytics training programs in Sydney are best for my career.

Is it important to learn both Python and R for data analytics?

Yes, it is important to learn both programming languages. Python aids in learning big data, artificial intelligence machine learning, etc. whereas, R programming assists in statistical calculations and data visualization.

 

Conclusion

In a nutshell, data analytics training programs in Sydney are considered to be the top region for studying. The students avail many opportunities by studying there. The data analytics courses in Sydney make the future of the pupils. Many of the students get placed while studying there.

Sydney proposes bachelor’s and master’s degrees in data science too. You will also get the certificate courses here that will help you to build your strong portfolio. If you are thinking about data analytics courses without any worry, enrol yourself in data analytics courses in Sydney.

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