About Data Analyst Certification Course

  • 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. This collaboration between Simplilearn and IBM provides learners with a once-in-a-lifetime opportunity, helping them transcend in Data Science, AI, and other related innovative technologies. This Data Analyst course in Seattle 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 Seattle, you’ll be given a course completion certificate from IBM and Simplilearn. This certificate shows that you have finished your data analyst training through this Data Analyst course in Seattle, and will benefit you in your career. 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 Seattle by Simplilearn in collaboration with IBM will give you expertise in this booming data analytics stream. Our Data Analyst training in Seattle helps you gain expertise in descriptive and inferential statistics, forecasting, regression analysis, data extracts, data blending, and hypothesis testing. 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 Seattle, you will understand basic concepts of Mathematics and how to apply them.

    Our method of instruction gives you expertise in Data Analytics with demos and projects via CloudLab and when you complete this Data Analyst training in Seattle, you will be a bonafide Data Analyst.

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

    This Data Analyst course in Seattle 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 Seattle 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 Seattle?

    The Data Analyst course in Seattle contains 15+ real world, industry-based projects so that you can bring practical experience in business analytics and intelligence to the table. This Data Analyst training in Seattle 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 determine the efficacy and value of forecasting a trend and its varying patterns, both the analysis and the intervention need to be consolidated into the same system where the trend started.

    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 Seattle?

    Professionals with an aptitude for analysis in any field should consider this Data Analyst training in Seattle and secure an excellent job with the help of this Data Analyst course in Seattle. 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 Seattle?

    Students who want to be successful in this Data Analyst course in Seattle and certification training should have basic mathematics skills.

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

    By finishing our Data Analyst course in Seattle, one will have the essential data analysis skills to secure their dream job as an acclaimed 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. There is a significant skill gap in data analytics even though there is a high demand for data analysis, meaning that there are plenty of career opportunities in this field.

    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 Course Advisor

  • Ronald van Loon

    Ronald van Loon

    Top 10 Big Data and Data Science Influencer, Director - Adversitement

    Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.

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Data Analyst Certification Learning Path

  • Course 1

    Introduction to Data Analytics Course

    Simplilearn’s Data Analytics courses will give you insights into how to apply data and analytics principles in your business. Learning analytics, data visualization, and data science methodologies through this course will make you capable of driving better business decisions and ROI.

    Read More
  • Course 2

    Business Analytics with Excel

    Boost your Data analytics career with powerful new Microsoft® Excel skills by taking this Data Analytics course, which includes training on Business Analytics and Power BI. These two commonly used tools, combined with official Data Analyst certification, will put you on the path of a successful career.

    Read More
  • Course 3Online Classroom Flexi Pass

    Programming Basics and Data Analytics with Python

    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
  • Course 4Online Classroom Flexi Pass

    Tableau Training

    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
  • Course 5

    Data Analyst Capstone

    Simplilearn’s Data Analyst Capstone project will give you an opportunity to implement the skills you learned in the Data Analyst certification 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
  • Master's Program Certificate

  • Electives

    Power BI

  • Electives

    Programming Refresher

  • Electives

    R Programming for Data Science

  • Electives

    Data Science with R Programming

  • Electives

    SQL Training

  • Electives

    Industry Master Class – Data Analytics

Get Ahead with Simplilearn's Master Certificate

Get Ahead with Simplilearn's Master Certificate

Earn your Data Analyst certificate

Our Data Analytics 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 Analytics skills you've gained working on projects, simulations, case studies will set you ahead of competition.

Share your achievement

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

Data Analyst Certificatein Seattle

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.

  • 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.

  • 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.

  • 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

Data Analyst Training FAQs

  • 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 Analytics Courses.

  • What does a Data Analyst do?

    Data analysts play a unique role among the many data-centric jobs often found in today's businesses. A Data Analyst commonly works on collecting and interpreting data, analyzing the outcome, and reporting the results back to the relevant team. A Data Analyser also works closely with identifying patterns and trends in data sets, working alongside organizations within the business or the management team to establish business needs, define new data collection and analysis processes, and add real value to a company.

  • How to learn Data Analytics?

    Data Analytics is one of the major areas to explore in this digitalized world. To learn data analytics, you need to have an in-depth understanding of SQL, Python or R programming, data visualization techniques, statistics, regression, and more. While you can get started on your own, it is recommended to enroll in a University partnered Data Analytics Bootcamp to learn data analytics from Purdue faculty. You’ll get up-to-date knowledge of the field and know about the strategies and best practices that are actually followed by companies.

  • How do I become a Data Analyst?

    This Data Analyst certification course in Seattle 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 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 this Data Analyst course in Seattle, 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* 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

  • How do I enroll for the Data Analyst course in Seattle?

    You can enroll in this Data Analyst certification training in Seattle 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.

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

    A Data Analyst in Seattle, on average, earns an annual salary of $67,351, including bonus and overtime. A Data Analyst requires working knowledge of software, like SQL, Microsoft Excel, and Tableau. You can learn this software and other skills needed through a good Data Analyst course or Data Analyst training in Seattle.

  • What are the major companies hiring for Data Analysts in Seattle?

    Data Analysts have numerous opportunities in Seattle, such as Pitchbook, Amazon.com Inc, and the University of Washington (UW). Many companies in Seattle are always looking to hire Data Analysts. Zillow Inc. provides the highest salaries for Data Analysts in Seattle.

  • What are the major industries in Seattle?

    Seattle’s diverse economy is based on aerospace, manufacturing, advanced technology in computer software and IT, biotechnology, and electronics. All these industries require Data Analysts with a good understanding of SQL, Microsoft Excel, and Tableau obtained through a Data Analyst course in Seattle.

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

    The average salary of a Data Analyst in Seattle, Washington is $67,499/year after doing Data Analyst Masters Certification Seattle. Jobs for data analysts are projected to grow 20% over the next ten years, according to the US Bureau of Labor Statistics.

  • What are the major companies hiring for Data Analysts in Seattle?

    Several companies are hiring Data Analysts who have completed their Data Analyst Masters Certification Seattle. Some top companies that hire data analysts are- Pinterest, Snap, Microsoft, Accenture, Oracle, Slack, Lyft, Tableau, Qlik, Fractal Analytics, etc. Data analysts are in high demand in the Business Intelligence, Finance, Healthcare and Entertainment industry.

  • What are the major industries in Seattle?

    Some important industries in the Seattle area include bioinformatics, biotechnology, genomics, food processing, lumber and wood-product processing, environmental engineering, and the manufacture of medical equipment, industrial machinery and equipment, and textiles. Data Analysts are hired by most of these industries after doing Data Analyst Masters Certification Seattle.

  • How to become a Data Analyst in Seattle?

    For becoming a Data Analyst, you can have a graduate degree in mathematics, statistics, math, economics, data science or do Data Analyst Masters Certification Seattle. Data analysts are required to have several skills like SQL or Structured Query Language, Microsoft Excel, Critical Thinking, R or Python, Statistical Programming, Data Visualization, etc.

  • How to Find Data Analyst courses in Seattle

    There are several institutes that offer Data Analyst Masters Certification Seattle. The University of Washington is one of the top colleges offering this course along with several others in the field of Data Analytics. Other data analytics certification courses include- Cloudera Certified Associate Data Analyst, Microsoft Certified: Data Analyst Associate, etc.

  • What are the top online Data Analytics courses provided in this certification program?

    This Data Analyst certification program consists of the following courses:

  • 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 Analytics 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 Analytics course to develop the necessary skills to be successful.

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

    This Data Analyst certification 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 Analytics course online 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
    • Data Analyst Capstone

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

    Yes, our Data Analyst certification 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 the following minimum requirements, you will be eligible to receive the certificate that will testify to your skills as an expert in Data Analyst.

    Course Course completion certificate Criteria
    Introduction to Data Analytics Required 85% of Online Self Paced completion
    Data Analytics with Python Required 85% of Online Self Paced completion
    Data Science with R Required 85% of Online Self Paced completion or Attendance of 1 Live Virtual Classroom, And Score above 75% in the course-end assessment And successful evaluation in at least 1 project
    Business Analytics with Excel Required 85% of online self-paced completion  and successful evaluation in at least one project
    Tableau Desktop 10 Training Required 85% of online self-paced completion  OR attendance of one live virtual class and successful evaluation of at least one project
    Power BI Required 85% of Online Self Paced completion
    Data Analyst Capstone Required Attendance of one Live Virtual Classroom AND successful evaluation in at least one project

  • Do I need to complete the Data Analytics courses in a specific order?

    Simplilearn’s Data Analytics course has a rigorous curriculum designed by industry experts. It is recommended that you follow the lessons in the same order as detailed in the learning path for the best learning experience.

  • I am not able to access the Data Analytics courses. 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 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 Analytics course with us.

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

    Yes, Simplilearn provides a PG program in the Data Analytics domain 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, including Statistics, Python, R, Tableau, SQL, and Power BI.

Data Analyst Course in Seattle

Seattle is one of the biggest cities in the Pacific Northwest region of North America and has a population of 753,675. Seattle has chilly wet winters and mild, relatively dry summers. Seattle boasts a long coastline on one side and large lakes surrounding the city.

Seattle thrives with industrial, commercial, and cultural activity around the clock. Seattle has a GDP per capita of $96k and is a city of international importance. Today Seattle is known as the leading center for the manufacturing of high technology and Internet-based commerce.

There are many places of cultural importance, such as museums, parks, and art galleries in downtown Seattle. The Emerald City also has vibrant and pristine beaches as well as lush green mountains for nature lovers. Seattle is one of the most fun-filled towns to explore either as lifelong residents or first-time tourists. Some of the main attractions in Seattle are: 

Our Seattle Correspondence / Mailing address

Simplilearn's Data Analyst Course in Seattle

1455 NW Leary Way, Suite 400 Seattle, WA 98107 United States

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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.