• Next cohort Starts2nd Mar, 2024
  • Learning FormatOnline Bootcamp
  • Course duration11 months
  • Next cohort Starts2nd Mar, 2024
  • Learning FormatOnline Bootcamp

Why Join this Program

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    Top notch Data Analyst course curriculum with integrated labs

    Designed & delivered for freshers & working professionals

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    Get the IBM advantage in your Data Analytics training

    Live masterclasses, Ask Me Anything sessions and hackathons from IBM

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    Capstone and 20+ industry-relevant Data Analytics projects to ensure comprehensive learning

    Projects covering industries such as banking, e-commerce, technology and manufacturing

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    8X higher live interaction in live online classes by industry experts

    Live Data Analytics 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

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. Since 1911, they are known as the largest technology and consulting employer globally, with more than 350,000 employees who work with clients in 170 countries. Simplilearn and IBM’s collaboration delivers a once-in-a-lifetime experience, helping them distinguish themselves in Artificial Intelligence, Data Science, and other innovative technologies. This Data Analyst course in Auckland will turn out to be quite fruitful for the students who wish to build their careers in Data Science. 

    IBM, along with Watson, is working on an AI platform for business, powered by data and trying to build industry-based solutions for real-world problems. It's been seven decades since IBM has (and still continues to) defined the future of Information Technology with more than 3000 researchers 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 Auckland, you’ll be given a course completion certificate from IBM and Simplilearn. This certificate verifies that you have concluded your data analyst training in this Data Analyst course in Auckland, and will give you a career advantage. 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 Scientist 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?

    This Data Analyst course in Auckland by Simplilearn in collaboration with IBM will give you expertise in this booming data analytics stream. The Data Analyst training in Auckland helps you become a pro in descriptive and inferential statistics, hypothesis testing, data blending, data extracts, regression analysis, and forecasting. You will also have insights on data visualization techniques by using Tableaus and Power BI and learning ways to organize data and design dashboards.

    On the other hand, the program also focuses on non tech workforce to give them an idea about the technicalities. In this Data Analyst training in Auckland, you will understand basic concepts of Mathematics and how to apply them.

    This learning method provides you with a thorough understanding of Data Analytics with demos and projects via CloudLab, and when you conclude this Data Analyst training in Auckland, you will become a certified global Data Analyst.

  • What skills will you learn in this Data Analyst course in Auckland?

    This Data Analyst course in Auckland has been designed to help you fulfill the company's expectations and prove yourself to be a good data analyst. As you complete this Data Analyst training in Auckland you will be able to:

    1. Learn all the concepts like measures of central tendency, dispersion, correlation, and regression.
    2. Excel in SQL concepts like Universal Query Tool and SQL command.
    3. Code in Python by using variables, strings, functions, loops, and conditions.
    4. Understand the details of Python's lists, sets, dictionaries, conditions and branching, objects, and classes.
    5. Work on data consisting of Python, which includes reading and writing files, loading, working, and saving data with Pandas.
    6. Convert data in Python by using multi-dimensional arrays in NumPy, manipulate DataFrames in Pandas, use SciPy library of Mathematical routines, and implement learning by using Scikit-Learn.
    7. Work as data analytics by using Python libraries.
    8. Know several data visualization libraries in Python, which also has Matplotlib, Seaborn, and Folium.
    9. Know the basics of R in-depth, and then write your R scripts.
    10. Excel in R programming and know about the ways of implementing statements in R.
    11. Know, understand, and use linear and non-linear regression models and different classification methodologies for data analysis.
    12. Understand and then implement the clustering methods, which include K-means, DBSCAN, and hierarchical clustering.
    13. Know about the foundations of business analytics using Excel.
    14. Know the latest Microsoft analytics and visualization tools(Power BI).
    15. Excel in the concepts of Tableaus Desktop 10, become familiar with Tableau statistics, and make engaging desktops.
    16. Excel in visualization techniques like a heat map, treemap, waterfall, Pareto, Gantt chart, and market basket analysis.
       

  • What projects are included in this Data Analyst course in Auckland?

    This Data Analyst course in Auckland comes with 15+ real world industry projects so that you can succeed in business analytics and intelligence with practical experience. This Data Analyst training in Auckland consists of projects like:

    Project 1: Analyse how big MNCs like Amazon and Flipkart implement business intelligence tools to use category analysis.
    Project Title - Category of Performance Analysis
    Description - As per the Performance Evaluation Program, the subcategories that give a continuous profit for the last four years are announced as the Best Performing Subcategories. Assist the manager in recognizing the major subcategories by looking at the profits and using dashboard features that give an entire picture for subcategory sales. 

    Project 2: Know and understand how stock markets such as NASDAQ, NSE, and BSE leverage data science and analytics to become data that can be used from complex datasets.
    Domain - Stock Market
    Description - In this project, you will give Yahoo a data reader for companies like Yahoo, Apple, Amazon, Microsoft, and Google. You will be able to do fundamental analytics, which consists of plotting closing price, plotting stock trade by volume, doing everyday return analysis, and using pair plots to correlate all stocks.

    Project 3: Check how banks like Citigroup, Bank of America, ICICI, and HDFC use data science to thrive in the market.
    Domain - Banking
    Description - A Portuguese banking institute gave a marketing campaign to make the potential customers invest in a bank term deposit. They did their campaigns through phone calls, and there were also times when the same customer was connected twice. Your job will be to analyze the data that has been collected from the marketing campaign.

    Project 4: Know and understand how top healthcare industry leaders use data science to increase their business.
    Domain - Healthcare
    Description - Predictive analytics are used in the healthcare industry for hospital readmissions. In this sector, predictors play a very important role as they can be transferred into action, but at the same time, only real-time data won't help without intervention. To gauge the effectiveness and value of forecasting a trend and its fluctuating patterns, both the analysis and intervention must be integrated into the same system where the trend developed.

    Project 5: Learn how top retail companies such as Walmart and Target use data science to analyze their product placements and inventory.
    Domain - Retail
    Description - Analytics is a tool used to analyze product placements on shelves or evaluate inventory that is to be kept in the warehouse by using industry examples. In this project, candidates will get to know the product evaluation cycle from shelves to the warehouse. This will help in knowing regular occurrences in the retail sector.

    Project 6: Know and understand how insurance leaders such as Berkshire Hathaway, AIG, and AXA use data science by working on a real-life insurance-based project.
    Domain - Insurance
    Description - Predictive analytics is being used a lot in insurance businesses, especially by MNCs. All the candidates from companies that write over $1 billion in personal insurance make use of predictive modeling. It has helped the insurance companies in expanding their business in the best way possible.

  • Who should take this Data Analyst course in Auckland?

    Professionals in any industry and a knack for analysis should take up this Data Analyst training in Auckland and land the perfect job with the help of this Data Analyst course in Auckland. One can be from:

    1. IT Sector
    2. Bank and Finance 
    3. Marketing
    4. Sales
    5. Supply Chain Networking
    6. Beginners in the Data Analytics field
    7. Students in UG/PG program 

  • What are the prerequisites for this Data Analyst course in Auckland?

    Learners who wish to succeed in the Data Analyst course in Auckland and certification training should have a basic understanding of mathematics.

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

    By taking the Data Analyst course in Auckland, one will acquire the necessary data analysis skills to land their dream job as an expert 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?

    According to the World Economic Forum, by 2022, Data Analysts will be one of the top jobs in the market. Companies and organizations look at Data Analysis as one of the significant factors as it consists of playing with data, which can help any organization earn millions. Even though data analysis is in high demand, due to lack of awareness, there is a significant skill gap in data analytics,which means that there are many excellent career opportunities.

    As per the IBM report, data analytics jobs will increase demand in Finance, Insurance, and Information Technology streams. Glassdoor said in 2019 that the average salary of a Data Analyst is $67,377.

Tools Covered

Microsoft ExcelNumPypandasSciPypower bipythonRtableauMySQLFSD

Data Analyst Certification Learning Path

  • Boost your Data analytics career with powerful new Microsoft® Excel skills by taking this Data Analytics course, which includes training on Business Analytics. This combined with an official certificate will put you on the path to a successful career.

    Read More
    Classroom Schedule
    Weekday Classes Starts on 3rd Mar
  • This course gives you the information you need to successfully start working with SQL databases and make use of the database in your applications. Learn the concepts of fundamental SQL statements, conditional statements, commands, joins, subqueries, and various functions to manage your SQL database for scalable growth.

    Read More
  • 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.

    Read More
    Classroom Schedule
    Weekend Classes Starts on 2nd Mar
  • Discover R Programming with this introductory course. Learn how to write R code, utilize R data structures, and create your own functions.

    Read More
  • The next step to becoming a Data Analyst is learning R—the most in-demand open-source technology. R is a powerful Data Science and analytics language, which has a steep learning curve and a very vibrant community. This is why it is quickly becoming the technology of choice for organizations that are adopting the power of analytics for competitive advantage.

    Read 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.

    Read More
    Classroom Schedule
    Weekday Classes Starts on 4th Mar
  • 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

    Read More
Electives:
  • Simplilearn's Power BI certification training allows you to delve into Microsoft Power BI concepts, covering aspects like Power BI Desktop layouts, BI reports, dashboards, DAX commands, and functions. This course curriculum is aligned with PL-300: Microsoft Power BI Data Analyst certification. Conveniently learn to experiment, refine, prepare, and present data quickly and easily with our comprehensive Power BI training. Learn Power BI through a hands-on applied learning approach.

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

Get Ahead with Simplilearn's Master Certificate

Get Ahead with Simplilearn's Master Certificate

Earn your Data Analyst course certificate

Our Data Analyst courses are exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.

Differentiate yourself with a Masters Certificate

The knowledge and Data Analysis skills you've gained working on projects, simulations, case studies will set you ahead of competition.

Share your achievement

Talk about your Data Analyst certificate on LinkedIn, Twitter, Facebook, boost your resume or frame it - tell your friends and colleagues about it.

Data Analyst Coursein Auckland

Data Analyst Course Reviews

  • Vinay Salve

    Vinay Salve

    Data Science and Business Analytics, Pune

    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.

  • Manish Beniwal

    Manish Beniwal

    Advisor Reporting - Global Mobility at Rio Tinto, Bangalore

    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.

  • Ravi Chandra

    Ravi Chandra

    Package Solution Consultant (Cognos BI) at IBM Global Services, Pune

    The course was excellent. Appreciate the trainer's capability to answer all the queries. Thanks to Simplilearn for such good course content.

  • Amol B

    Amol B

    Associate Manager at Firepro Systems, Bangalore

    Simplilearn is an awesome learning platform. The course content is very well designed, and the live classes have personal attention in resolving the doubts. Thanks, Simplilearn.

  • Gayathri Ramesh

    Gayathri Ramesh

    Associate Data Engineer, Dubai

    The course was well structured and curated. The live classes were extremely helpful. They made learning more productive and interactive. The program helped me change my domain from a data analyst to an Associate Data Engineer.

  • Hariharan Krishnaswamy

    Hariharan Krishnaswamy

    Bangalore

    I was working as a business analyst at HCL. The Simplilearn course taught me to think about the bigger picture. The learnings from this course have helped me enhance my performance at work and gain a mid-term increase in my salary.

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Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

Financing

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.

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

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$ 1,299

Data Analyst Training FAQs

  • How do I become a Data Analyst in Auckland?

    This Data Analyst certification course in Auckland 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 course developed in collaboration with IBM?

    Upon completion of this Data Analyst course in Auckland, you will receive the 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 (for IBM courses) and Simplilearn upon successful completion of the program
    • Access to IBM cloud platforms featuring IBM Watson and other software for 24/7 practice

  • What is the salary of a Data Analyst in Auckland?

    The average annual salary of a Data Analyst in Auckland is $62,304. The pay for a data analyst varies depending on their level of experience, knowledge, and demand. A suitable Data Analyst Masters Certification training course in Auckland will provide you with the knowledge you need to become an expert in analytics, including studying analytics tools and techniques, working with SQL databases, and creating data visualizations.

  • What are the major companies hiring for data Analysts in Auckland?

    Data Analyst masters certification training course in Auckland is mandatory for jobs related to Data Analysis. Candidates with a data analyst Masters Certification course are hired by many companies including Vodafone, Pushpay, KPMG and Tradify. Some of the jobs are Financial and data modelling analyst, Associate data scientist, Data engineer, Reporting Analyst etc.

  • What are the major Industries in Auckland?

    Auckland is New Zealand's most important economic and financial hub. It has a developed market economy with financial, commercial, and tourism strengths. The majority of significant international companies have a presence in Auckland. The Auckland CBD and the western parts of Manukau, which largely border the Manukau Harbour and the Tamaki River estuary, are the largest commercial and industrial regions in the region.

  • How to become a data Analyst in Auckland?

    To work as a data analyst, you must first complete a data analyst masters certification training course in Auckland, which is required for all data analyst jobs.

  • How to Find Data Analyst Courses in Auckland?

    The most appropriate course can be found at Simplilearn’s website.

  • 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.

  • If I need to cancel my enrollment from this data analyst course, can I get a refund?

    Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, please read our Refund Policy.

  • 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 Auckland, New Zealand

Auckland is a significant metropolitan metropolis in New Zealand's North Island. Auckland, the country's most populated city, has a population of around 1,470,100 people. It is part of the Auckland Region, which encompasses outlying rural areas and the Hauraki Gulf islands, and has a population of 1,717,500 people.

Auckland's per-capita GDP was predicted to be NZ$58,717, the third highest in the country after Taranaki and Wellington, and higher than the national average of NZ$54,178. The climate of Auckland is oceanic, however, it is categorised as subtropical by NIWA, with warm humid summers and mild damp winters.

Auckland is the populous city in New Zealand. Some of the top tourist attracted places are:

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