Data Analyst Course in Melbourne, Australia

Data Analyst Training FAQs

• How do I become a Data Analyst in Melbourne?

  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.

• What can I expect from this Simplilearn Data Analyst courses developed in collaboration with IBM?

  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:

  • Lifetime access to e-learning content for all of the courses included in the learning path (*only for Simplilearn courses)
  • Industry-recognized certificates from IBM* and Simplilearn upon successful completion of the program
  • USD 1200 worth of IBM cloud credits that you can leverage for hands-on exposure
  • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

• What is the salary of a Data science and business analytics expert in Melbourne?

  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.

• What are the major companies hiring for Data science and business analytics experts 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.

• What are the major industries in Melbourne?

  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.

• How to become a Data science and business analyst in 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.

• How to find Data Science and Business Analytics Courses in Melbourne?

  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.

• What is Data Analytics?

  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 Analyst Courses.

• How to learn Data Analysis?

  Data Analysis is one of the major areas to explore in this digitalized world. To learn data analysis, 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 Program 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.

• What are the modules covered in this online Data Analyst course?

  This p\online Data Analyst certification course consists of the following modules:

  • Business Analytics with Excel
  • SQL
  • Programming Basics and Data Analytics with Python
  • R programming for Data Science
  • Data Analytics with R
  • Tableau Training
  • Data Analyst Masters Capstone
  • PowerBI
  • Industry Master Class- Data Analytics

• Will this course help me to start my career as Data Analyst?

  Yes, anyone embarking on a career as Data Analyst can take these Data Analyst courses. Getting certified will demonstrate your seriousness towards the field and help you build a strong foundation in data analytics concepts.

• Why should I consider starting a career as a Data Analyst?

  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 Analyst certification course to develop the necessary skills to be successful.

• What programming knowledge is necessary for this Data Analyst training?

  This Data Analyst certification 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.

• How does this course qualify me as a Data Analyst?

  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 Analyst certification course is specifically curated to impart those skills that employers actually consider under the Data Analyst qualification.

• Is this Data Analyst certification course recommended for beginners?

  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.

• For which all courses will I get certificates from IBM?

  Following is the list of courses for which you will get IBM certificates:

  • R Programming for Data Science
  • Programming Basics and Data Analytics with Python

• Is this Data Analyst certification course conducted online? Do I need to attend any physical classes?

  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.

• How do I earn the Master's certificate?

  Upon completion of 80% of LVC hours and 2 projects, you will be eligible to receive the certificate that will testify to your skills as an expert in Data Analyst.

  Please find the completion criteria for each course within the mandatory learning path as:

  Course	Course completion certificate	Criteria
  Business Analytics with Excel	Required	85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project
  SQL	Required	85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project
  Programming Basics and Data Analytics with Python	Required	85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project
  R programming for Data Science	Required	As per criteria on IBM portal
  Data Analytics with R	Required	85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project
  Tableau Training	Required	85% of online self-paced completion or Attend 80% of 1 LVC batch and 1 project
  Data Analyst Masters Capstone	Required	Attendance of one Live Virtual Classroom AND successful evaluation in at least one project

• Do I need to complete the Data Analyst course in a specific order?

  Simplilearn’s Data Analyst certification 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.

• How do I enroll for the online Data Analyst certification course?

  You can enroll in this Data Analyst training on our website and make an online payment using any of the following options:

  • Visa Credit or Debit Card
  • MasterCard
  • American Express
  • Diner’s Club
  • PayPal

  Once payment is received you will automatically receive a payment receipt and access information via email.

• I am not able to access the Data Analyst course. Who can help me?

  Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link or Request a callback.

• Who will teach this Data Analyst course?

  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.

• What is Global Teaching Assistance?

  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.

• What is covered under the 24/7 Support promise?

  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 Analyst course with us.

• Do you offer any university partnered program in Data Analytics?

  Yes, Simplilearn provides a Post Graduate Program in Data Analytics in partnership with Purdue University. The Post Graduate Program in Data Analytics will give you broad exposure to key technologies and skills currently used in Data Analytics and Data Science.

• What qualifications do I need to be a data analyst?

  You typically need a combination of education and experience in data analysis, statistics, and computer science. Here are some qualifications that can help you become a data analyst:

  • A degree in a related field, such as mathematics, statistics, computer science, economics, or engineering.
  • Strong analytical and problem-solving skills, as well as experience with statistical analysis, data visualization, and data mining tools.
  • Proficiency in programming languages such as Python, R, and SQL, as well as experience with data manipulation and analysis tools such as Excel, Tableau, and SAS.
  • Knowledge of machine learning and artificial intelligence is an advantage, as data analysts are increasingly expected to use these technologies to extract insights from data.
  • Strong communication and presentation skills, as data analysts often need to explain their findings to non-technical stakeholders.
  • Experience in a specific industry or domain is an advantage, as it can help data analysts understand the context and business value of their work.

• Which course is best for data analyst?

  Try out the data analyst course. You will become a master of data analytics after taking this IBM-sponsored Data Analyst course. This course on data analytics covers the newest analytics tools and techniques, R and Python programming, SQL database administration, the art of data visualisation, and the use of statistics and predictive analytics in a business context.

• Is data analyst a hard job?

  Being a data analyst can be challenging as it requires a combination of technical and analytical skills, but it also can be a rewarding job. The job of a data analyst involves analyzing and interpreting large amounts of data, and using that information to help organizations make better decisions.

  Data analysts need to have strong analytical and problem-solving skills, as well as experience with statistical analysis, data visualization, and data mining tools. They also need to be proficient in programming languages such as Python, R, and SQL, as well as experience with data manipulation and analysis tools such as Excel, Tableau, and SAS.

  The job can be challenging because data analysts need to be able to work with large and complex data sets, and must be able to extract insights and make sense of the data. They also need to be able to communicate their findings to non-technical stakeholders and make recommendations based on the data.

• What are placement trends for data analysts?

  Data analysis is a rapidly growing field and the demand for data analysts is increasing across many industries. Here are a few placement trends for data analysts:

  • Increasing demand: The amount of data being generated is increasing at a rapid rate and organizations are looking for ways to extract insights from that data. As a result, the demand for data analysts is increasing across many industries, including finance, healthcare, retail, and manufacturing.
  • The growing use of data analytics in different sectors: Data analysis is becoming increasingly important in various sectors such as healthcare, finance, manufacturing, retail, and technology. The increasing use of data analytics in various sectors is creating new opportunities for data analysts.
  • Remote work: With the COVID-19 pandemic, remote work has become more prevalent and many companies are now looking for data analysts who can work remotely.
  • Use of machine learning and artificial intelligence: Data analysts are increasingly expected to use machine learning and AI to extract insights from data. This is creating new opportunities for data analysts with experience in these technologies.
  • Interdisciplinary skills: Data analysts are increasingly expected to have interdisciplinary skills, such as data visualization and business acumen.

• Is Simplilearn certificate valuable?

  Simplilearn is a well-known provider of online education and training programs in a wide range of subjects, including data analysis, machine learning, and artificial intelligence. Whether a Simplilearn certificate is valuable depends on a variety of factors such as the quality of the course, the level of the certification, and the employer's perspective on the certification.

  Simplilearn provides a wide range of courses and certifications, and they have a good reputation in the online education space. They partner with industry experts and have a good curriculum, which can be valuable for professionals looking to gain new skills or advance their careers.

• What's unique about the Data analyst course?

  You will obtain IBM credentials for the IBM courses and Simplilearn certifications for every course in the learning path after completing Simplilearn's online data analyst courses. These credentials, will attest to your abilities and demonstrate your knowledge of data analytics. The following advantages are also available to you as part of this Data Analyst certification program:

  • Expert-led master courses from IBM
  • Exclusive Hackathons run by IBM Industry-recognized Data Analyst Master's credential from Simplilearn Ask Me Anything sessions with IBM leadership

• What is the average salary a learner can expect after the Data Analysis course completion?

  The salary for a data analyst can vary depending on factors such as location, industry, and level of experience. On average, data analysts in the United States can earn a median salary of around $68,000 per year, with top earners making over $120,000 per year. It's important to note that these are approximate numbers and the actual salary can vary greatly.

• What is the learning format for the Data Analyst course?

  • Simplilearn typically offer a combination of live online classes, self-paced online learning, and hands-on projects or assignments.
  • Live online classes are led by an instructor and are held at a scheduled time. These classes may be interactive and allow for real-time questions and discussions.
  • Self-paced online learning allows students to complete the course material at their own pace, within a certain timeframe. This may include pre-recorded video lectures, quizzes, and other interactive elements.
  • Hands-on projects or assignments may include real-world case studies, data analysis exercises, and other activities that allow students to apply what they have learned.
  • It's important to check the data analytics course details and syllabus before enrolling to get more information about the learning format.

• What projects would a learner be working on?

  A data analyst learner may work on various projects, depending on the course or program they are enrolled in. Some common types of projects that data analyst students may work on include:

  • Data cleaning and preprocessing: This project may involve working with raw data to prepare it for analysis by cleaning, transforming, and formatting it.
  • Exploratory data analysis: This project may involve using visualization and statistical techniques to understand the main characteristics of a dataset and identify patterns or trends.
  • Predictive modeling: This project may involve using machine learning algorithms to build models that can predict outcomes based on historical data.
  • Business case studies: This project may involve applying data analytics techniques to solve real-world business problems, such as identifying key drivers of customer churn or optimizing marketing campaigns.
  • Big Data projects: This project may involve working with large datasets, distributed computing, and data processing tools like Hadoop, Spark, Hive, and Pig.
  • Dashboarding and Reporting: This project may involve creating interactive dashboards and reports to communicate insights and findings to stakeholders.

  It's important to check the course details and syllabus before enrolling to get more information about the projects that will be covered.

• Are Data Analyst Course recordings provided after course completion?

  Yes, you get the recordings of all the classes so that you can revise and watch the content whenever you want! So, don't worry as you all will have lifetime access to the data analyst course.

• What technical skills are needed for this data analyst course?

  Since these languages are frequently used for data modification and analysis, knowledge of programming languages like Python or R is frequently necessary for data analytics. For retrieving and altering data contained in databases, an understanding of SQL is essential. For the purpose of developing interactive visuals that can assist in explaining results to stakeholders, knowledge of data visualization tools like Tableau, Power BI, or ggplot is crucial. Understanding and interpreting data requires a working knowledge of statistical methods including regression analysis, correlation analysis, and hypothesis testing. Even if you are unfamiliar with any of them, you should still enroll in the course since it will help you develop these skills so that you may succeed in the data analyst course.

• Is the data analyst career a promising one?

  Data analysis is a promising career field. With the increasing amount of data being generated by businesses, governments, and individuals, there is a growing demand for professionals who can collect, process, and analyze that data to extract valuable insights. According to the Bureau of Labor Statistics (BLS), employment of data analysts and data scientists is projected to grow 11% from 2019 to 2029, much faster than the average for all occupations.

• Are Excel skills important to become a Data Analyst?

  Yes, Excel skills are essential for becoming a data analyst. Proper Excel training equips you with the necessary knowledge and techniques to effectively analyze and manipulate data. Here's why Excel skills gained through training are important for aspiring data analysts:

  1. Data Manipulation: Excel training teaches you how to efficiently clean, transform, and organize data using features like sorting, filtering, and data validation. These skills are crucial for preparing data for analysis.

  2. Formulas and Functions: Excel training covers a wide range of formulas and functions, enabling you to perform calculations, statistical analyses, and data modeling. Understanding and utilizing these capabilities enhance your ability to derive insights from data.

  3. Data Visualization: Excel training teaches you how to create visually appealing charts, graphs, and dashboards to present data in a meaningful way. Effective data visualization is essential for conveying findings and making data-driven recommendations.

  4. Data Analysis Tools: Excel offers numerous built-in tools such as pivot tables, conditional formatting, and data analysis add-ins. Through training, you learn how to leverage these tools to gain deeper insights and perform complex analyses.

  5. Efficiency and Productivity: Excel training equips you with time-saving techniques, shortcuts, and best practices. These skills improve your efficiency in handling large datasets and performing repetitive tasks, ultimately increasing your productivity as a data analyst.

  6. Collaboration and Compatibility: Excel is widely used in organizations, making it important for data analysts to have the skills to collaborate and share data effectively. Excel training helps you understand file compatibility, data sharing options, and collaboration features within Excel.

  By gaining Excel skills through training, you enhance your ability to manipulate, analyze, and visualize data efficiently, enabling you to excel in the role of a data analyst and contribute effectively to data-driven decision-making processes.