• Next cohort Starts20th Apr, 2024
  • Learning FormatOnline Bootcamp
  • Course duration11 months
  • Next cohort Starts20th Apr, 2024
  • Learning FormatOnline Bootcamp

Why Join this Program

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    IBM Advantage

    Access hackathons, masterclasses, and AMA sessions. Earn IBM certificates for IBM courses.

  • icons
    Applied Learning

    Capstone and 20+ industry-relevant data analytics projects to ensure comprehensive learning

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    Data-Driven Decision Making

    Learn tools like Tableau, Excel, SQL, Python, R, PowerBI and more

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    Top-notch Data Analyst course

    Comprehensive data analytics curriculum with live online classes by industry experts

World’s #1 Online Bootcamp

Begin your journey to success

Get lifetime access to self-paced e-learning content

Corporate Training

Enterprise training for teams

Data Analyst Program Overview

This data analyst course, in collaboration with IBM, will transform you into a data analytics expert. In this course, you will learn the latest analytics tools and techniques, how to work with SQL, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.

Key Features

  • Industry-recognized Data Analyst Master’s certificate from Simplilearn
  • Dedicated live sessions by faculty of industry experts
  • Masterclasses from IBM experts
  • Industry-recognized IBM certifications for IBM courses
  • Ask-Me-Anything (AMA) sessions with IBM leadership
  • Capstone from 3 domains and 20+ projects
  • Exclusive hackathons conducted by IBM
  • Lifetime access to self-paced learning content
  • Program crafted to initiate your journey as a Data Analyst

Data Analyst Program Advantage

Get certified in data analytics with this IBM program. Access masterclasses by experts, and AMAs with leadership. Earn Data Analyst and IBM certificates plus complete capstone projects. Advance your career now!

  • Master's Certificate

    Earn your Data Analyst Certificate

    • Industry-recognized certificate by Simplilearn
    • Dedicated live sessions by faculty of industry experts
    • Lifetime access to self-paced learning content
  • IBM Certificate

    Get ahead with IBM Advantage

    • Content and certificate by IBM
    • Masterclasses by IBM experts
    • Hackathons and AMA Sessions

About the Program

About the Data Analyst Master's program developed in collaboration with IBM

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 –

  1. Access to IBM cloud platforms that feature IBM Watson and other software.
  2. Industry-recognized Data Analysis Master’s certificate from Simplilearn.
  3. USD 1200 worth of IBM cloud credits that you can use for hands-on exposure.

What are the learning objectives?

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.

What skills will you learn in this Data Analyst course in Melbourne?

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: 

  • Comprehend important statistical topics such as measures of central tendency, regression, correlation, and dispersion
  • Master SQL command, Universal Query Tool, and other such SQL concepts
  • Write one's first Python program with the implementation of concepts of conditions, functions, variables, loops, and strings 
  • Comprehend the implications of sets, conditions, dictionaries, lists, branching, classes, and objects in Python 
  • Work with data via Python, and this includes writing and reading of files, working, loading, and saving up data with the help of Pandas
  • Acquire knowledge about the interpretation of data in Python by the use of NumPy's multidimensional arrays, Pandas' DataFrames, the library of mathematical routines by SciPy, and the execution of machine learning with the help of Scikit-Learn 
  • Using popular Python libraries to perform data analytics
  • Gaining insights on various libraries for data visualization in Python such as Folium, Matplotlib, and Seaborn 
  • Gaining a deep understanding of the basics of R and learning to write one's R scripts 
  • Understand the execution of various statements in R while mastering R programming in the process 
  • Using and understanding linear and non-linear models of regression and techniques of classification for data analysis 
  • Using and learning K-means, hierarchical clustering, DBSCAN, and other such clustering methods 
  • Gaining an elementary knowledge of the business analytics that are using Excel 
  • Gaining cognizance about the latest visualization tools and Microsoft analytics 
  • Becoming proficient with Tableau statistics by grasping the concepts of Tableau Desktop 10 and, after that, building enticing dashboards
  • Becoming an expert on techniques for visualization like treemap, heat map, Gantt chart, Pareto, market basket analysis, and waterfall

What projects are included in this Data Analyst course in Melbourne?

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
Domain: Banking
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 
Domain: Healthcare
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
Domain: Retail
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
Domain: Insurance
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.

Who should take this Data Analyst course in Melbourne?

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:

  • IT professionals
  • Marketing managers
  • Supply chain network managers
  • Students in PG or UG programs
  • Sales professionals
  • Beginners in the data analytics domain
  • Banking and finance professionals

What are the prerequisites for this Data Analyst course in Melbourne?

Professionals who wish to excel in the Data Analyst course in Melbourne and certification training should hold basic skills in mathematics.

What are the job opportunities upon completing this Data Analyst course in Melbourne?

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:

  • Analytics Manager or lead
  • Data Analyst
  • Business Intelligence Analyst
  • Business Intelligence Engineer 
  • Business Analyst/Senior Business Analyst
  • Various managerial roles

Why become a Data Analyst?

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.

Data Analyst Certification Learning Path

Accelerate your career trajectory with our extensive data analytics course curriculum. Delve into foundational statistics, master data analysis with Python and R, navigate databases using SQL, and harness the power of visualization with Tableau and Power BI.

Learning Path

Electives:
  • * Aligned with PL-300: Microsoft Power BI Data Analyst certification
    * Topics include Power BI Desktop layouts, BI reports, dashboards, DAX commands, and functions
    * Learn to experiment, refine, prepare, and present data with ease
    * Explore comprehensive Power BI training for hands-on applied learning
    * Learn through a practical approach to help you gain expertise

  • Attend this interactive, online industry master class to gain insights about cutting edge Data Analytics advancements and techniques.

8+ Skills Covered

  • Data Analytics
  • Statistical Analysis using Excel
  • Data Analysis using Python and R
  • Data Visualization Tableau and Power BI
  • Linear and logistic regression modules
  • Clustering using KMeans
  • Supervised Learning
  • Unsupervised Learning

9+ Tools Covered

Microsoft ExcelNumPypandasSciPypower bipythonRtableauMySQLFSD

Industry Projects

  • Project 1

    APP RATING RECOMMENDATIONS

    The Google Play Store team launches visibility booster for promising apps - displayed higher in recommendations. Build model to predict app ratings with provided app data.

  • Project 2

    COMCAST TELECOM CUSTOMER COMPLAINTS

    Comcast promises better customer service but continues falling short, despite repeated vows to improve. Leverage database of customer complaints to finally boost satisfaction.

  • Project 3

    ECOMMERCE SALES DASHBOARD

    E-commerce company seeks sales dashboard to analyze product categories, ease selection, and boost purchases. Help users review info on products they're considering.

  • Project 4

    COMPARATIVE STUDY OF COUNTRIES

    Create a dashboard to compare different countries on various parameters using the sample insurance data set and world development indicators data set.

  • Project 5

    SALES PERFORMANCE ANALYSIS

    Build dashboard showing monthly sales by segment and category, flagging those meeting/exceeding/missing targets - enabling clients to easily identify areas needing attention.

  • Project 6

    ANALYSIS OF SALES REPORT OF A CLOTHES MANUFACTURING OUTLET

    Fashion retailer seeks to expand product line. Aims to grasp market trends, automate product attributes, predict sales, understand sales drivers, and standardize ratings with data.

  • Project 7

    COLLEGE ADMISSION

    Each year, US colleges receive thousands of applications from international students. To streamline the process, the education department must analyze factors affecting admission.

  • Project 8

    IDENTIFYING AND RECOMMENDING THE BEST RESTAURANTS

    Upgrading B2C portal with smart automation. Forming matrices for top-notch eateries & suggestions. Analysis-based reports & visual dashboards for sharing insights.

  • Project 9

    PREDICTING LOAN DEFAULTERS

    High vehicle loan defaults cause losses, leading to stricter underwriting. Need a better risk model. Study to identify default factors & predict defaults.

  • Project 10

    EXAMINING FACTORS RESPONSIBLE FOR HEART ATTACKS

    Global heart disease deaths are high. We need a system to predict heart attacks. Study data on cardiovascular health, identify key factors and create a predictive model.

Disclaimer - The projects have been built leveraging real publicly available data-sets of the mentioned organizations.

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Join the Data Analytics industry

Data Science and Analytics jobs are projected to see growth by 31% in the upcoming decade. The data analytics market is estimated to reach $24.63 Bn in 2021 and is projected to grow at a compound annual growth rate of 25 per cent from 2021 to 2030.

Job Icon11.5 M

Expected New Jobs for Data Science and Analytics

Source: Analytics Insight
Job Icon31%

Annual Job Growth by 2030

Source: 365 Data Science
Job Icon$ 62K-121K

Average Annual Salary

Source: Glassdoor

Batch Profile

This program caters to working professionals from a variety of industries and backgrounds; the diversity of our students adds richness to class discussions and interactions.

  • The class consists of learners from excellent organizations and diverse industries
    Industry
    Information Technology - 32%BFSI - 19%Software product - 13%Pharma & Healthcare - 11%Retail - 10%Others - 15%
    Companies
     course learners from Amazon, Melbourne
     course learners from Ernst & Young, Melbourne
     course learners from Fidelity Investments, Melbourne
     course learners from Johnson and Johnson, Melbourne
     course learners from Vodafone, Melbourne
     course learners from Broadcom, Melbourne
     course learners from Accenture, Melbourne
     course learners from Nomura Holdings, Melbourne
     course learners from Ericsson, Melbourne
     course learners from Infosys, Melbourne
     course learners from Nvidia, Melbourne
     course learners from Tata Consultancy Services, Melbourne

Learner Reviews

Financing

The admission fee for this program is A$ 1,990

Pay in Installments

You can pay monthly installments for Programs using Splitit payment option with 0% interest and no hidden fee.

Splitit

Financing Options

We provide the following options for one-time payment

  • Credit Card
  • Paypal

A$ 1,990

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.

  • 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.

  • 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.

Data Analyst Course in Melbourne, Australia

With an estimated population of 1,83,756 residents, the coastal region serves as the capital of Victoria.

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.

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  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.