• Next cohort Starts21st Jun, 2024
  • Learning FormatOnline Bootcamp
  • Course duration11 Months
  • Next cohort Starts21st Jun, 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.

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    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 analysis 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. 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.

Data Analyst Certification Learning Path

Accelerate your career trajectory with our extensive data analyst 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
    • Learn Power BI Desktop layouts, BI reports, dashboards, and more
    • 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 and suggestions. Analysis-based reports and 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 and 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, Seattle
     course learners from Ernst & Young, Seattle
     course learners from Fidelity Investments, Seattle
     course learners from Johnson and Johnson, Seattle
     course learners from Vodafone, Seattle
     course learners from Broadcom, Seattle
     course learners from Accenture, Seattle
     course learners from Nomura Holdings, Seattle
     course learners from Ericsson, Seattle
     course learners from Infosys, Seattle
     course learners from Nvidia, Seattle
     course learners from Tata Consultancy Services, Seattle

Learner Reviews

Financing

The admission fee for this program is $ 1,449

Pay in Installments

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$ 1,449

Data Analyst Training FAQs

  • 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 is the job market for data analysts?

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

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

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: 

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