IBM is a leading cloud platform and cognitive solutions company. Founded in 1911, IBM is widely known as one of the biggest technology and consulting employers in the world, with 350,000+ employees working in 170 countries. It has collaborated with Simplilearn to give students a once-in-a-lifetime kind of exposure helping them outstand themselves in Artificial Intelligence and Data Science. Simplilearn’s Data Analyst course in Melbourne is one of the most popular courses for students as it offers excellent data analysis skills.
After partnering with Watson, IBM is working on an AI platform for business, powered by data and trying to build industry-based solutions for real-world problems. For over seven decades, IBM continues to define the future of Information Technology with more than 3000 researchers driving innovation in 12 labs located across six continents.
What can I expect from this Simplilearn's Data Analyst program developed in collaboration with IBM?
Once you complete your Data Analyst course in Melbourne, you’ll be given a course completion certificate from IBM and Simplilearn. This certificate is evidence that you have completed your data analyst training through this Data Analyst course in Melbourne, giving you an edge in the job market. You will also have these things with you if you complete the course –
The Data Analyst Master's program by Simplilearn, which is known to have been developed in collaboration with IBM, aims to provide people with immense expertise in booming data analytics. This Data Analyst course in Melbourne for certified training helps in imparting ways to master inferential and descriptive statistics, data blending, hypothesis testing, regression analysis, forecasting, and data extracts. With such a course, one can also gain data visualization expertise techniques using Power BI and Tableau coupled with learning how data can be organized, and dashboards can be designed. With the help of such a course, people with a simple understanding of mathematical concepts can also complete the course and become data analytics experts.
Such a learning experience helps to blend the knowledge of Data Analytics with demos and projects through CloudLab. With the successful completion of the course in Melbourne, one will possess all the required skills to become a Data Analyst successfully.
The learning path in this Data Analyst course in Melbourne is structured to give learners the tools they need to be successful in Data Analysis. It also helps in providing a competitive edge, and therefore, by the end of the Data Analyst course in Melbourne, one will be able to:
This Data Analyst course in Melbourne includes 15+ industry-based and real-life projects to help learners master the core concepts of business intelligence and analytics such as data blending, data visualization, decision trees, and much more. Various projects are mentioned hereafter:
Project 1: Examining how big companies such as Flipkart and Amazon make the use of tools of business intelligence for performing category analysis
Project Title: Category Performance Analysis
Description: According to the Performance Evaluation Program, the subcategories that yield a consistent profit for the previous four years are awarded as the Best Performing Subcategories. One can help their manager identify the top subcategories based on what profits were earned and utilize the advanced features in the dashboard to show a full picture of the subcategory sales.
Project 2: Learning how BSE, NSE, NASDAQ, and other such stock markets leverage data analytics and science for arriving at consumable data from complicated datasets
Domain: Stock Market
Description: Being part of a Data Analyst course in Melbourne, one will import data using Yahoo data reader for many companies such as Yahoo, Google, Apple, Microsoft, and Amazon. One can also carry out fundamental analytics, which incorporates the plotting closing price, plotting stock trade by volume, performing daily return analysis, and revealing the relationship between various stocks using a pair plot.
Project 3: Watch how various banks like Bank of America, HDFC, Citigroup, and ICICI make use of data analysis for staying ahead of the competition
Description: To convince potential customers to invest in a bank term deposit, a Portuguese banking institution once ran marketing campaigns which were conducted via phone calls. There were times when the very same customer ended up being contacted a few times. Your job is to analyze all the data collected from such a marketing campaign.
Project 4: Learn how leaders of many famous healthcare industries use data analysis for leveraging business
Description: For mediating hospital readmissions, Predictive Analytics can effectively be used. Predictors are very useful in healthcare and other industries when they can be shifted into action, but without intervention, real-time and historical data are worthless. For judging the value and efficiency of a forecasted trend and dynamic behavior, both the invention and the predictor must be integrated into a similar system and workflow at the place where the trend happened originally.
Project 5: Understanding how Amazon, Walmart, Target, and other leading retail companies use data analysis for optimizing and analyzing their inventory and product placements
Description: Analytics is used for the optimization of product placements on shelves or inventory in warehouses using industry examples. With this project, participants can learn the cycle of product optimization from warehouses to shelves. This helps retail sectors to provide insights into regular occurrences.
Project 6: Understanding how AIG, Berkshire Hathaway, AXA, and other insurance leaders use data analysis by working on insurance-based real-life projects
Description: According to the Insurance Predictive Modeling Survey conducted in 2013, the use of predictive analytics in the Data Analyst course in Melbourne has significantly increased in big companies. Though the survey depicted an increase in predictive modelling all through the industry, respondents from many companies that are known to write personal insurance of over $1 billion employ it, as and when compared to 69% of the companies with a comparatively lesser premium.
Professionals of any educational background who are aspiring and possess an analytical frame of mind are best for pursuing a Data Analyst course in Melbourne; this includes:
Professionals who wish to excel in the Data Analyst course in Melbourne and certification training should hold basic skills in mathematics.
By completing this Data Analyst course in Melbourne, the student will get the essential data analysis skill set to work as an accomplished Data Analyst. Various job titles are:
As predicted by the World Economic Forum, 2022 will witness Data Analysts as one of the top emerging jobs in society. Data analysis is viewed by organizations today as one of the most important specialties for the future due to the value the data is capable of delivering. Considering a Data Analyst course in Melbourne, data in the business environment in this day and age is much more accessible and abundant than ever. Each day, about 2.5 quintillion bytes of data are created. Data analyzers' value will continue to grow while creating new jobs and advancement opportunities for a career with an increasing skill gap in data analytics.
Professionals who enter the field of Data Analytics are known to reap the benefits of picking up a job and enjoying fruitful salaries. According to a recent report by IBM, jobs you can get after taking a Data Analyst course in Melbourne are expected to increase by 15% to 2.72 million in 2021, with the most notable demand for IT, Financial, and Insurance Analysts. According to Glassdoor, in 2019, Data Analysts earn about $67,366 as an average pay.
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.
Simplilearn’s Data Analytics courses will give you insights into how to apply data and analytics principles in your business. Learning analytics, data visualization, and data science methodologies through this course will make you capable of driving better business decisions and ROI.
Boost your Data analytics career with powerful new Microsoft® Excel skills by taking this Data Analytics course, which includes training on Business Analytics and Power BI. These two commonly used tools, combined with official certificate, will put you on the path of a successful career.
Learn how to perform Data Analytics with Python using multi-dimensional arrays in NumPy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn. These Data Analytics courses will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more.
This Tableau certification course helps you master Tableau Desktop, a world-wide utilized data visualization, reporting, and business intelligence tool. Advance your career in analytics through our Tableau training and gain job-ready skills. Tableau certification is highly regarded by companies for data-related jobs and our Tableau online course trains you to use the tool effectively for preparing data, creating interactive dashboards, adding different dimensions, and drilling into outliers.
Simplilearn’s Data Analyst Capstone project will give you an opportunity to implement the skills you learned in the Data Analyst course. With dedicated mentoring sessions, you’ll know how to solve a real industry-aligned problem. The project is the final step in the learning path and will help you to showcase your expertise to employers.
Our Data Analytics courses are exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and Data Analytics skills you've gained working on projects, simulations, case studies will set you ahead of competition.
Talk about your Data Analyst certificate on LinkedIn, Twitter, Facebook, boost your resume or frame it - tell your friends and colleagues about it.
I'm happy to share that I have completed my Master's program in Data Analysis and Business Analytics with Simplilearn. It was a fantastic learning experience, and I would like to thanks Simplilearn for letting me acquire this new skill. I'm also glad that I have come across several new connections.
I am a Data Analyst with 7 years of work experience, but I didn't have the chance to work with Statistics. So I enrolled in this course. It's a good course even for beginners. Overall, the training is very good. Thank you Simplilearn.
This Data Analyst certification course in Melbourne developed in collaboration with IBM will give you sufficient insights into data analytics tools and methodologies to excel in your next role as a Data Analyst. You will earn an industry-recognized certification from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. The Data Analyst online course will train you on statistics essentials, SQL basics, data science, and data visualization using R and Python, Business Analytics with Excel, Power BI, and data visualization with Tableau Desktop 10.
Upon completion of these Data Analyst courses in Melbourne, you will receive certificates from IBM and Simplilearn for courses in the learning path. These certificates will testify to your skills as an expert in Data Analysis. You will also receive the following:
A candidate earns a salary in the range of $51,000 per year and $100,000 per year. The average salary earned by the majority of the candidates is $71,000 per year. Earning more than the average is a possibility by completing a Data Analyst Masters Certification in Melbourne.
The scope, post completion of Data Analyst Masters Certification Melbourne, widens up for a candidate. He or she can secure a job at some of the best companies like AGL Energy, QuantumBlack, and McKinsey & Company, to name a few.
Melbourne offers a supportive environment for every kind of industry. This includes professional, scientific & technical services, health care & social assistance, construction, wholesale trade, and mining, to name a few. The doors to these sectors open up for candidates with aData Analyst Masters Certification Melbourne.
There is no specific qualification background required to pursue a Data Analyst Masters Certification in Melbourne. Anyone who aspires to become a Data Analyst can join the course. Candidates with post-graduation experience an edge over others. Similarly, candidates who have work experience of certain years find it easier to cope.
One can search for it on the internet or talk to a counselor. A candidate who wishes to acquire a Data Analyst Masters Certification Melbourne may find the advice of an educational counselor to be better than others. The internet also generates a list of the searches in a few seconds.
Data Analytics is a process of inspecting, cleaning, transforming and modeling data to discover useful information and support decision making to achieve business goals. There are various data analysis qualitative and quantitative methods and analytical or statistical tools used to extract the useful information and translate them into insights to make better business decisions, most of which are covered in the Data Analytics Courses.
Data Analytics is one of the major areas to explore in this digitalized world. To learn data analytics, you need to have an in-depth understanding of SQL, Python or R programming, data visualization techniques, statistics, regression, and more. While you can get started on your own, it is recommended to enroll in a University partnered Data Analytics Bootcamp to learn data analytics from Purdue faculty. You’ll get up-to-date knowledge of the field and know about the strategies and best practices that are actually followed by companies.
Yes, anyone embarking on a career as Data Analyst can take these Data Analytics courses. Getting certified will demonstrate your seriousness towards the field and help you build a strong foundation in data analytics concepts.
If you have a computer science or related background and you are good at mathematics, statistics, and dealing with data, then chances are a Data Analyst role will be a great fit for you. With accelerating digital transformation across all industries, data analysts will be in high demand in the future. You can get started with this Data Analytics course to develop the necessary skills to be successful.
This Data Analyst course is suitable for professionals with programming experience as well as non-programming backgrounds. However, it is recommended to have a basic understanding of programming languages like SQL, Java, Python, or R.
This Data Analyst training gives you a step-by-step guide to master all the topics that a Data Analyst should know. Apart from the theoretical knowledge, you’ll get to work on projects which will make you industry-ready. The Data Analytics course online is specifically curated to impart those skills that employers actually consider under the Data Analyst qualification.
There are many professionals who want to start a career as Data Analyst but skeptical about where to begin. Simplilearn has addressed this concern by helping candidates learn everything from scratch. So, beginners will find it easy to comprehend the course material right from day one.
Following is the list of courses for which you will get IBM certificates:
Yes, our Data Analyst course is completely online. You don’t need to attend classes at a physical location. You can access the course material anywhere using a system connected to the internet.
Upon completion of the following minimum requirements, you will be eligible to receive the certificate that will testify to your skills as an expert in Data Analyst.
|Course||Course completion certificate||Criteria|
|Introduction to Data Analytics||Required||85% of Online Self Paced completion|
|Data Analytics with Python||Required||85% of Online Self Paced completion|
|Data Science with R||Required||85% of Online Self Paced completion or Attendance of 1 Live Virtual Classroom, And Score above 75% in the course-end assessment And successful evaluation in at least 1 project|
|Business Analytics with Excel||Required||85% of online self-paced completion and successful evaluation in at least one project|
|Tableau Desktop 10 Training||Required||85% of online self-paced completion OR attendance of one live virtual class and successful evaluation of at least one project|
|Power BI||Required||85% of Online Self Paced completion|
|Data Analyst Capstone||Required||Attendance of one Live Virtual Classroom AND successful evaluation in at least one project|
Simplilearn’s Data Analytics course has a rigorous curriculum designed by industry experts. It is recommended that you follow the lessons in the same order as detailed in the learning path for the best learning experience.
You can enroll in this Data Analytics training on our website and make an online payment using any of the following options:
Once payment is received you will automatically receive a payment receipt and access information via email.
Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link or Request a callback.
All of our highly qualified Data Analyst course trainers are business intelligence industry 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 on our faculty.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified as Data Analyst in your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Teaching Assistance is available during business hours.
We offer 24/7 support through email, chat, and calls. We also 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 course with us.
Yes, Simplilearn provides a Professional Certificate Program in the Data Analytics in partnership with Purdue University. The Professional Certificate Program in the Data Analytics will give you broad exposure to key technologies and skills currently used in Data Analytics and Data Science, including Statistics, Python, R, Tableau, SQL, and Power BI.
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The system has worked so far and experts believe that it will continue to work in favor of Melbourne. The current GDP growth rate stands at 4% with a contribution of $70,500 per capita GDP in the economic environment of Australia. A candidate with a Data Analyst Masters in Certification Melbourne experiences these benefits in his or her professional life.
Melbourne is known to generate the maximum number of employment in the country. It opens the employment opportunity to around 497,200 candidates in the municipality sector alone.
All the residents of Melbourne often express gratitude to the facilities that are available in the city. One can shop, visit a museum, or a club anytime during the week to relax.One can search for it on the internet or talk to a counselor. A candidate who wishes to acquire a Data Analyst Masters Certification Melbourne may find the advice of an educational counselor to be better than others.
Level 28, 303 Collins St Melbourne VIC 3000 Australia