Data Analytics certificate from Purdue, the 8th most innovative university in the U.S.
Obtain IBM certificates for IBM courses and get access to masterclasses by IBM
Build your resume and prepare for interviews with valuable insights from industry experts
14+ industry-relevant projects from the likes of Google,Zomato and IBM and many more
Simplilearn’s data analytics courses in Melbourne offer an advanced understanding of critical data analytics and data science technologies, including Python, R, statistics, Tableau, Power BI, and SQL. Taking Data Analytics training in Melbourne gives students the skills and tools needed to succeed in this exciting career.
The Post Graduate Program in Data Analytics in partnership with Purdue University leverages Purdue’s academic excellence in Data Analytics and Simplilearn’s collaboration with IBM, providing a comprehensive view of the Data Analytics domain.
Fast track your career in the Data Analytics field today. This comprehensive Data Analytics Bootcamp curriculum covers the concepts of Statistics foundation, analyzing data using Python and R languages, interacting with databases using SQL, and visualizing the data using Tableau and Power BI.
Get started with this Post Graduate Program in Data Analytics in partnership with Purdue University and explore everything about this Data Analytics Bootcamp. Start your journey with the preparatory courses on Statistics and an Introduction to Data Analytics along with SQL training.
Make the Data Analytics foundation strong with the basics of statistics fundamentals, and techniques as the first step in the Data Analytics Bootcamp.
With this Programming foundation and Data Analytics with the Python Bootcamp program, you will learn programming fundamentals, how to analyze data in Python, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more.
Discover R programming with this Data Analytics Bootcamp. Learn how to write R code, utilize R data structures, and create your own functions.
With this Data Analytics Bootcamp program, you will master data exploration, data visualization, predictive analytics, and descriptive analytics techniques with the R language.
This Data Analytics Bootcamp covers Tableau Desktop 10 training that will help you develop various skills in the powerful data platform, including building visualizations, organizing data, and designing dashboards.
At the end of Data Analytics Bootcamp, bring your newly acquired Data Analytics skills together with a hands-on, industry-relevant capstone project that compiles every course into one portfolio-worthy capstone.
Simplilearn’s Power BI certification lets you explore Power BI concepts like Microsoft Power BI Desktop layouts, BI reports, dashboards, Power BI DAX commands, and functions. Learning how to experiment, fix, prepare, and present data quickly and easily is now convenient with our in-depth Power BI training. Microsoft Power BI is one of the most widely used business intelligence platforms, and our Power BI course follows a hands-on applied learning approach to help you gain expertise in it.
This Introduction to Artificial Intelligence (AI) is designed to help learners decode the mystery of artificial intelligence and its business applications. This AI for beginners course provides an overview of AI concepts and workflows, machine learning, deep learning, and performance metrics.
Attend an online interactive masterclass and get insights about advancements in technology/techniques in Data Science, AI, and Machine Learning.
Attend this interactive, online industry master class to gain insights about cutting edge Data Analytics advancements and techniques.
Make a model to predict the app rating, with other information about the app provided to boost its visibility.
Predict store sales and demand, factoring in economic conditions for the retail giant Walmart’s stores across the United States.
Help the US-based multinational corporation IBM identify the factors that influence the attrition of their employees across the enterprise.
Determine the key metrics to identify the star restaurants
Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.
Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.
Patrick J. Wolfe, an award-winning researcher in the mathematical foundations of data science, is the Frederick L. Hovde Dean of Science at Purdue University and named the 2018 Distinguished Lecturer in Data Science by the IEEE. He provides expert advice on applications of data science.
Data science and analytics jobs are predicted to increase 28% by 2020, according to an IBM report. The global analytics market is expected to grow by $132.9 billion during the period of 2016 to 2026 (Source: Market research future report)
Expected New Jobs For Data Science And Analytics
Annual Job Growth By 2026
Average Annual Salary
This PG in Data Analytics program caters to working professionals across industries. Learner diversity adds richness to class discussions and interactions.
Candidates can apply to this Data Analytics Bootcamp program in 3 steps. Selected candidates receive an offer of admission, which is accepted by admission fee payment.
Tell us about yourself and why you want to do this Data Analytics program
An admission panel will shortlist candidates based on their application
Selected candidates can join the Data Analytics program within 1-2 weeks
For admission to this Post Graduate Program in Data Analytics, candidates:
The admission fee for this Data Analytics Bootcamp is A$ 3,209. This fee covers applicable program charges and Purdue Alumni Association membership fee.
We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.
15 Jul, 2022
27 Aug, 2022 - 20 Mar, 2023
23:30 - 03:30 AEST
Weekend (Sat - Sun)
8 Jul, 2022
30 Jul, 2022 - 6 May, 2023
23:30 - 03:30 AEST
Weekend (Sat - Sun)
For admission to this Post Graduate Program in Data Analytics Courses Melbourne, candidates:
Yes. This Post Graduate Program in Data Analytics Courses Melbourne will teach you the fundamentals of programming languages, statistics, and industry standard techniques from scratch to build up your foundational knowledge and enhance your analytics career journey.
The admission process consists of three simple steps:
To ensure money is not a barrier in the path of learning, we offer various financing options to help make this data analytics courses Melbourne more financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.
As a part of this Post Graduate Program, in collaboration with IBM, you will receive the following:
Upon successful completion of this program in Melbourne, you will be awarded a Post Graduate Program in Data Analytics certification by Purdue University. You will also receive industry-recognized certificates from IBM and Simplilearn for the courses on the learning path after successful course completion.
Average salary of a data scientist in Melbourne is A$1L per year. The most typical earning is 79,521 AUD. All data are based on the 763 Data Scientist Salary Survey in Melbourne, Australia. Candidates with Data science and Business Analytics in Melbourne are highly preferred by the companies for data science and business analyst roles.
There are many job opportunities available after completing Data science and Business Analytics in Melbourne. Many Top Companies are hiring for Data Scientist Jobs in Melbourne. Chief Financial Officer (Finance), Head of Technology (Information Technology), Chief Technology Officer (Information Technology), Investment Director (Finance), Head of Operations (Mining) are the job roles hired by the companies like BHP Group (BHP) Metals & Mining, CSL Limited (CSL), Telstra Corporation limited (TLS), Transurban Group (TCL), Rio Tinto Limited(RIO), and Coles Group(COL). Companies in Melbourne want candidates with a background in data science and business analytics for data science and business analyst positions.
Boeing, truck manufacturers Kenworth and Iveco, Cadbury, Bombardier Transportation, and Jayco are just a few of the notable manufacturers in Melbourne. Nintendo's Australian headquarters are located in Scoresby, a south-eastern suburb. Ford Australia maintains a research and development centre in the city, as well as a worldwide design studio and technical centre for GM and Toyota, respectively. Many higher education institutions in Melbourne are leading in data science certification, making it a popular location for international students.
Many higher education institutes are making Melbourne a prime destination for foreign students by leading in data science certification and Master of Data Science in Melbourne.
In Melbourne, we will search for jobs through the help of newspapers, magazines, google, etc. Many universities and higher education institutes are offering Data science and business analytic courses. One of such reputed institutions is Simpliearn.
Just about everything is data-driven these days, from market research and sales figures to expenses and logistics. To most people, this information can be overwhelming and daunting. It can be difficult and time-consuming to sort through it all and know what’s important, what isn’t, and what it all means. This is where Data Analysts come into the picture: they take this information and do thorough data analysis and turn it into useful information for businesses, which allows them to make more informed decisions in the future.
Though not mandatory, it is beneficial to have basic coding skills when you are seeking a Data Analysis jobs. This Data Analytics Bootcamp covers everything you require to become eligible for this job role.
The aim of Data Analysts is to extract meaningful insights from raw data. For this, they need to be well-versed in using Data Analytics basics concepts like statistics, data mining, core math, and machine learning models. Simplilearn’s Data Analytics program covers all these concepts in detail to master in data analytics.
When you start learning data analytics, you should be familiar with statistics, core math concepts, programming basics (Python(to excel in the field of data analytics with python, R, or Java), and Linux fundamentals. A bachelor's degree in mathematics, statistics, computer science, or related fields is also beneficial to easily grasp the concepts of data analytics. Our Data Analytics Bootcamp program helps you learn data analysis online from scratch.
The time taken to learn data analytics varies from person to person. It depends on your dedication to studying, prior knowledge of the field, and work experience in data analytics. While some of the concepts may take a few days, others may take a couple of months to grasp. When you take our online Data Analytics program, you should apply the concepts you learned to real-world use cases to gain practical exposure and reinforce your learning.
The average annual Data Analyst job salary is over $61,000 per year.
Learning new skills and expanding your knowledge is always a plus point. This Data Analytics program is developed in partnership with Purdue University, a perfect blend of world-renowned curriculum and industry-aligned training, which makes the PG program in Data Analytics just the right one for you!
Yes, you are supposed to have a bachelor’s degree with an average of 50% (or higher) if you wish to enroll in Data Analytics program..
You will get a Purdue Alumni Association Membership after completing the Data Analytics program.
Upon completion of the following minimum requirements, you will be eligible to receive the Post Graduate Program certificate that will testify to your skills as an expert in Data Analytics.
|Course||Course completion certificate||Criteria|
Introduction to Data Analytics
|Required||85% of online self-paced completion|
|R programming for Data Science||Required|
|Data Science with R||Required||1. 85% of online self-paced completion or attendance of one live virtual classroom,
2. A score above 75% in the course-end assessment
3. And successful evaluation in at least one project
|Analytics and Programming Foundation||Required||1. Attendance of one live virtual classroom,
2. A score above 75% in the course-end assessment
3. And successful evaluation in at least one project
|Data Analytics with Python||Required|
|Data Analyst Capstone||Required||Attendance of one live virtual classroom and successful completion of the capstone project|
You’ll find the best-in-class Data Analytics programs covered in our PG program. The list includes:
Analytics and Programming Foundation
Data Analytics with Python
R Programming for Data Science
Data Science with R
Data Analyst Capstone
Once you make the first installment of the Data Analytics program fee, you will be given access to a preparatory course with eight to 10 hours of self-paced learning content in the form of videos. You will have to go through the assigned course before attending the first class.
With the growing popularity of data analytics, several tools have been thought in this Data Analytics program. Some of the important Data Analytics tools that provide various advanced features include Tableau, Power BI, SAS, QlikView, RapidMiner, and MS Excel.
This Data Analytics program is completely online. You can access the data analysis online course material anytime and anywhere with a computer or smartphone connected to the internet.
We have a team of dedicated admissions counselors who can guide you as you apply for this Data analytics program.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in Data Analytics on your first attempt. They engage students proactively to assure the course path is followed and to help you enrich the learning experience, from class onboarding to project mentoring and job assistance.
We highly recommend that you follow the Data Analytics courses in the same order as listed in the learning path as the initial concepts are used in lessons that follow it.
All of our highly qualified Data Analytics instructors are Business Intelligence experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain part of our faculty.
Yes, you can access the course content even after the completion of the Data Analytics program.
Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link, or contact help and support.
Data is ruling businesses around the world. The more data-driven you’re, the more beneficial it is for your organization. By taking insights from data, you can make meaningful decisions, plan strategies, and help your business achieve its goal faster. Enrolling in this extensive Data Analytics program is definitely going to be an advantage, and nothing less.
Yes, you can join Data Analytics program even if you do not belong to a technical background. However, having a basic knowledge of programming languages and mathematics will be beneficial.
Yes, you can enroll in the PG in Data Analytics even if you don’t have any prior knowledge in Data Analytics since this program will take you through the fundamentals to the top of the ladder, where you learn all the advanced critical Data Analytics skills.
We offer 24/7 support through email, chat, and calls. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your Data Analytics program.
Yes, you can cancel your enrollment if necessary. We will refund the program price after deducting an administration fee. To learn more, you can view our Refund Policy.
This Post Graduate Program in Data Analytics is offered on a non-credit basis and is not transferable to a degree.
Post Graduate Program are certification programs and do not include any transcripts for WES, this is reserved only for degree programs. We do not offer sealed transcripts and hence, our PG programs are not applicable for WES or similar services.
Melbourne's population is expected to reach 5,061,439 in 2021. Melbourne had a population of 1,331,966 people in 1950. Since 2015, Melbourne's population has increased by 93,706, a 1.89 percent yearly increase. Victoria (VIC) is the smallest of the mainland states in terms of area, yet it is home to Melbourne, the country's second most populous metropolis. Melbourne accounted for 39.8% of national increase in terms of GDP.
Melbourne has a per capita GDP of $70,500 dollars. Melbourne has a moderate oceanic climate that borders on humid subtropical, with warm to hot summers and mild winters. Any financial significance - The silicon valley of Australia has been entrenched in a region of inner Melbourne.
Melbourne, which has been named the most livable in the world six times, is one of the best places to visit, with a varied selection of attractions. A massive observation wheel, a holy sports stadium, museums, historical jails, and Melbourne's oldest building are just a few of the attractions. Enjoy the best coffee in the world and marvel at the incredible street art. Take a stroll down alleyways. Visit Flinders Street Station and Federation Square, and Scienceworks to learn how things operate. There are many more things to do in Melbourne.
Level 28, 303 Collins St Melbourne VIC 3000 Australia