As shown in the Forrester Wave report from September 2018, IBM is the second-largest provider of Predictive Analytics and Machine Learning solutions in the world. This Data Science Certification course offered by Simplilearn in collaboration with IBM is an applied learning program giving them all they need to become Data and AI experts. The Data Science course in Seattle gets students ready for a rich career in the fields of Artificial Intelligence and Data Science.
Headquartered in Armonk, New York, IBM is a respected leader in premier cognitive solutions and cloud platforms, offering a vast selection of technology and consulting services. The well-established company is an acknowledged leader in research and development, investing $6 billion annually into these fields. IBM has won five Nobel prizes, five US National Medals of Science, six Turing Awards, nine US National Medals of Technology, and 10 inductions into the US Inventors Hall of Fame.
What benefits will this Data Science course in Seattle developed in collaboration with IBM give me?
You will receive certificates from IBM and Simplilearn for their respective courses, once you finish the Data Scientist online Master's program. The certificates, that this Data Science course in Seattle unlocks allows its learners to prove their skill levels in data science and related fields and proves to employers that they've gone through a recognized Data Science training in Seattle. You will also receive:
The Data Scientist profession is one of the most popular IT-related professions available today. IBM predicts that the need for Data Scientists will increase by 28% in 2020. Simplilearn's (in collaboration with IBM) Data Science course in Seattle, is your opportunity to master job-ready skills like clustering, data visualization, data wrangling and mining, logistic and regression testing, statistics, and hypothesis testing. The course also explores Hadoop, PROC SQL, SAS Macros, Spark, recommendation engine, supervised and unsupervised learning, and other valuable skills.
The Data Scientist Master’s program focuses on extensive Data Science training, combining online instructor-led classes and relaxed self-paced learning. Your Data Science training in Seattle culminates with a capstone - which lets you perfect your learning by giving you a chance to implement all that you've learned via the training to a real business product. All of these skills will help you become an expert Data Scientist.
This Data Science training in Seattle boasts of more than 15 real-life, industry-based projects, emphasizing different domains. These projects help you grasp the more well-used concepts of Data Science and Big Data. Here are some of the projects you will encounter:
Description: You’ll undergo effective mentoring which will re-inforce your preparedness to tackle industry project attempting to resolve an industry problem with real implications leveraging the knowledge of technologies and skills you've been exposed to. The capstone project includes all the key points of data extraction, cleaning, and visualization, and how to build and tune models. You can also choose the domain/industry dataset you want to work on, based on whatever options are available.
After you successfully submit your project, you will earn a capstone certificate, showcasing your expanded learning and skills to potential employers.
Project 1: Products rating prediction for Amazon
Amazon, one of the top US-based e-commerce companies, habitually recommends products to customers that fall in categories that mesh with their past product activity and reviews. Amazon recommendation engine needs a boost of its capabilities - to help it make and map rating predictions on products not related and also add them to the list of recommendations the customer views.
Project 2: Improving customer experience for Comcast
Description: Comcast, one of the top US-based global telecommunication companies, wants to take their customer service experience to the next level by locating problem areas that reduce customer satisfaction. Once these areas are found, Comcast wants a plan on how to solve this dilemma. The company is also looking for useful strategies that they can put in place to deliver the best customer experience.
Project 3: Attrition Analysis for IBM
Domain: Workforce Analytics
Description: IBM is one of the United States’ oldest and most well-known IT companies. This computer giant wants you to pinpoint the factors that influence employee attrition. Also, using the parameters identified, the company would like to develop a logistics regression model that predicts the employee churn rate.
Project 4: Predict accurate sales for 45 Walmart stores, taking into consideration the impact of promotional markdown events. Walmart is one of America’s main retail stores. Figure out if macroeconomic factors like the Consumer Price Index, unemployment rate, etc., impact their sales.
Description: Walmart typically holds several promotional markdown events during the year. These markdowns usually revolve around popular holidays and annual events such as Labor Day, Thanksgiving, the Super Bowl, and of course, Christmas. The weeks with these holidays have a weighing factor five times higher in valuation than the normal, uneventful weeks. Walmart, however, is facing a challenge because of unanticipated demand, a situation made worse thanks to incorrect demand estimation. This flawed estimation results in the occasional stock shortfall. Macroeconomic factors like CPI, Unemployment Index, etc. can play an important role in predicting demand, but the company hasn’t yet figured out how to leverage these factors. Part of this project involves creating a model to highlight the effects of these promotional markdowns on the holiday weeks.
Project 5: Learn how top healthcare industry leaders use Data Science to improve their business in this data science course in Seattle.
Description: Predictive analytics is a valuable tool for many facets of healthcare, like mediating hospital readmissions, for example. But regardless of the industry, predictors offer the most value when they can be acted upon. In other words, historical and real-time data alone are useless until the company takes appropriate action. Furthermore, in order to predict the value and effectiveness of forecasting a trend and thereby change its behavior, you have to be able to reintroduce both the predictor and the intervention into the same workflow and system where the trend originally began.
Project 6: Work on an insurance-based real-life project to understand how insurance leaders like AIG, AXA, Berkshire Hathaway, etc., use Data Science.
Description: According to data found in the 2013 Insurance Predictive Modeling Survey, predictive analytics have increased noticeably in the insurance industry, especially among the larger companies. The survey shows a predictive modeling boost across the industry, but the trends are inconsistent. For example, every insurance company writing over $1 billion in personal insurance uses predictive modeling, but companies who deal with less than $1 billion are set in the 69% utilization range.
Project 7: See how large banks like Bank of America, Citigroup, ICICI, HDFC, etc. use Data Science to stay ahead of their competition.
Description: A Portuguese banking institution launched a marketing campaign to give potential customers a compelling reason to invest their money in a bank term deposit. The bank used phone calls for this marketing campaign. Unfortunately, sometimes a customer got multiple calls from the campaign. Your job is to analyze all the relevant data obtained from this marketing campaign.
Project 8: Understand how stock markets like NASDAQ, NSE, and BSE leverage Data Science and Analytics to gather consumable data from complex data sets.
Domain: Stock Market
Description: You will use the Yahoo data reader to import data from the following companies: Amazon, Microsoft, Apple, Google, and Yahoo. You must then use this data to perform fundamental analytics functions such as plotting closing price, plotting stock trade by volume, running daily return analysis, and using pair plots to show the correlations between stocks.
Project 9: Learn how Data Science is used in the field of engineering by working on this case study of MovieLens Dataset Analysis.
Description: The GroupLens Research Project is a research group at the University of Minnesota’s Department of Computer Science and Engineering. The researchers are involved in several projects relating to collaborative filtering, information filtering, and recommender systems.
Project 10: Explore how top retail companies like Amazon, Walmart, Target, etc. utilize Data Science to analyze and optimize their product placements and stock inventory.
Description: Big businesses use Analytics to optimize their product shelf placement in stores and their warehouse inventory. This project helps participants learn about the daily cycle of product optimization, taking it from the warehouse to the shelves. This cycle provides the company with insights into regular happenings in the retail sector.
The best Data Scientists have an eclectic mixture of experience, data science knowledge, and the associated tools and technologies. It’s a fantastic career path, suitable for rookies and seasoned experts alike. Data Science professionals aspiring to make it big and having an analytical bent of mind and a good background in preliminary education are the ideal learners of this Data Science training in Seattle; the list of professionals comprise:
If individuals are looking to enroll and get the best out of this Data Scientist Course in Seattle, they’d need
By being a successful program learner who completed Simplilearn's Data Science course in Seattle, you possess the skills that should allow you to confidently go after dream job roles, including:
Data is everywhere. We use it at work, at home, or when conducting online commerce, and more is generated every day. So, Data Scientists are consequently the highest ranked professionals in any analytics organization. Glassdoor ranks the career of Data Scientist second in the 50 Best Jobs for 2021. There’s a shortage of Data Scientists, so that’s why it’s a great idea to take this data science course in Seattle. An expert Data Scientist understands the requirement and constraints of business problems, collects the right data and makes it usable to design the right analytical strategies, use today's most accurate algorithms and techniques to come up with data driven recommendations for making decisions.
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.
Kickstart your learning of Python for Data Science with this introductory course and familiarize yourself with programming, tastefully crafted by IBM.
This Data Science with Python certification course gives you a complete overview of Python’s data analytics tools and techniques. Learning python is a crucial skill for many data science roles, and you can develop it with this Python data science course. With a blended learning approach, you can learn Python for data science along with concepts like data wrangling, mathematical computing, and more. Unlock your career as a data scientist with Simplilearn’s Data Science with Python training.
Ensure career success with this Machine Learning course. Learn this exciting branch of Artificial Intelligence with a program featuring 58 hrs of Applied Learning, interactive labs, 4 hands-on projects, and mentoring. With our Machine Learning training, master Machine Learning concepts are required for a Machine learning certification. This Machine Learning online course will provide you with the skills needed to become a successful Machine Learning Engineer today.
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.
Simplilearn’s Data Science Capstone project will give you an opportunity to implement the skills you learned in the Data Science certification course. Through dedicated mentoring sessions, you’ll learn how to solve a real-world, industry-aligned Data Science problem, from data processing and model building to reporting your business results and insights. The project is the final step in Data Science training and will help you to show your expertise in Data Science to employers.
Our Data Scientist course is comprehensive, and this certificate demonstrates that you have made significant progress in mastering the area.
Working on projects, simulations, and case studies has given you the knowledge and Data Science abilities to put you ahead of the competition.
Tell your friends and coworkers about your Data Science certification by posting it on LinkedIn, Twitter, and Facebook, or boost your resume.
Simplilearn is the best online platform. I have completed Data Scientist certification from here. The trainers are very knowledgeable. It has a well-organized course. The method of presentation is really commendable. Kudos to Simplilearn. It's definitely going to be a long journey for Simplilearn.
"I am so happy to be a part of such a fantastic one-year Data Scientist Master's program, which I managed to complete in 8 months. The course gave me so much clarity about what all is required to excel in the Data field. All the hard work and late-night project work finally paid off. "
Simplilearn is a gateway for people who want to enter into the fields of Data Science, AI or Cloud. I found this is to be one of the best online instructor-led portals, and I would definitely recommend it. After the certification, I was able to change my job role from a Hadoop Developer to a Big Data Engineer with a good salary hike.
The study material provided is perfect. And you get lab access on top of that which is very important when trying to learn big data technologies. I also found the live classes very beneficial. The projects and assignments provided help us learn the concepts better. Thanks to Simplilearn.
If you're a novice or intermediate in Data Science, you'll need to master many ideas. A Data Science course is a six to twelve-month training program led by industry specialists to assist applicants in developing a solid foundation in the discipline. Our online Data Science certification course incorporates virtual laboratories, industrial projects, interactive quizzes, and practice examinations in addition to the academic content, enhancing your learning experience.
This Data Science course in Seattle co-developed with IBM will give you an insight into Data Science tools and methodologies, which is enough to prepare you to excel in your next role as a Data Scientist. You will earn an industry-recognized certificate from IBM and Simplilearn that will attest to your new skills and on-the-job expertise. The program will train you on R and Python, Machine Learning techniques, data reprocessing, regression, clustering, data analytics with SAS, data visualization with Tableau, and overview of the Hadoop ecosystem.
As a part of this Data Science training in Seattle, in collaboration with IBM, you will receive the following:
You can enroll in this Data Science training in Seattle on our website and make an online payment using any of the following options:
Once payment is received you will automatically receive a payment receipt and access information via email.
The average annual salary for a data scientist in Seattle ranges from $73k to $155k. An entry-level data scientist can expect to earn $94k annually (including bonus and overtime). Hands-on exposure to key technologies including R, Python, Tableau is essential for Data Scientists who can achieve this through good Data Science course in Seattle.
Many companies in Seattle are looking to hire Data Scientists in Seattle. Some popular employers are Amazon.com Inc, Microsoft Corp, The Boeing Company, Zillow, Inc., Nordstrom, Inc., and others which offer high salaries and opportunities for growth.
Seattle has a diverse economy with flourishing industries such as Aerospace, Clean Technology, Information and Communication Technology, Life Sciences, Maritime, and Technology Startups. Opportunities for Data Scientists in Seattle are available across all these industries.
There are many companies that are hiring Data Scientists in Seattle after they have completed their Data Science Training Seattle. Many big companies such as Oracle, Pinterest, Snap, Microsoft, Accenture, Lyft, Intel, Tableau, Fractal Analytics, Bridgei2i Analytics, LatentView, etc. hire data scientists from all over the world at high salaries.
You'll typically need a mathematical, engineering, computer science, or scientific-related degree to get a place on the Data Scientist course. You can also pursue Data Science Training Seattle. Individuals who want to become data scientists need to have skills like- Hadoop platforms, Statistics and Mathematics, Machine Learning and Artificial Intelligence, etc.
There are several Data Scientist courses in Seattle such as Data Science Specialisation Course, Data-Driven Decision-Making Course, Data Science Essentials Course, Machine Learning Course by Udacity, Data Science Training Seattle. Firstly, you need to do quite a lot of research about the institute you want to do the course from.
Data science is a vast topic that entails working with massive amounts of data to find hidden trends and patterns and extract useful information to help decision-making. Companies employ various data science tools and methodologies to develop predictive models as a service as they collect vast volumes of data. Data Science courses from Simplilearn will help you learn all the ideas from the ground up.
A data scientist collects, cleans, analyses, and visualizes enormous datasets to derive relevant findings and present them to executives. The data is gathered from numerous sources, transformed into an analysis-ready format, and fed into an analytics system, where it is statistically analyzed for actionable insights.
Data science comprises numerous abilities that professionals may already have earned via a job or educational experience, despite its new designation. That is a valid issue in most other academic and commercial fields. There are considerably more vital accreditations you could and should obtain before "hanging your shingle" or trying to reconfigure your set of skills or profession in fields like banking or technology. Data science is a large field with just a few certification programs. Many of these programs, however, are too expensive. If you want to work as a Data Scientist, it's the most excellent way to impress potential employers and demonstrate your knowledge.
Data scientists must also be familiar with and have experience in reproducibility, decision-making, and collaborating with stakeholders and executives. As a result, pursuing a second (or third) degree may not be ideal for professionals interested in breaking into data science. They must still express their experience, talents, and gained knowledge to prospective employers to be successful.
It would be best if you now had a good idea of what Data Science Certifications are and how they may help you advance in your profession. All you have to do now is check over all the different certificates and choose the one that would provide you with the most excellent benefits.
Professionals who do not have any prior knowledge of the field can easily begin with this Data Science certification training course as you’ll gain a thorough knowledge of the basic concepts as well.
Yes, this Data Science course is suitable for recent graduates as well as experienced professionals who are willing to start a career in data science. There are no specific eligibility requirements to take this Data Science certification course.
The Data Science course can be completed in around six months if you dedicate a few hours daily to learning.
Whatever your educational background, if you have an analytical mindset and are willing to step into the world of data science, you are eligible for this Data Science course.
This Data Science certification training will familiarize you with programming languages like Python, R, and Scala, as well as data science tools like Apache Spark, HBase, Sqoop, Hadoop, and Flume.
After you complete the payment, you will get notified of your successful enrollment through email. It will give you all the details regarding how to access the Data Science course material. Following the steps, you can go through the video lessons instantly.
Companies are embracing digital transformation and the growing dependency on data makes a career in data science quite promising. Businesses are accelerating their digital initiatives and data science skills will remain in high demand in the near future. Moreover, with the existing skills gap, companies are even ready to pay higher salaries to data scientists. With Simplilearn’s Data Scientist course, you can qualify for this rewarding career.
Data science is a vast field and people cannot gain expertise in it within six months or a year. Learning data science requires specialized technical skills along with knowledge of programming basics and analytics tools to get started. However, this Data Science course explains all of the relevant concepts from scratch, so you will find it easy to put your new skills to use.
Simplilearn’s Data Science course is unique because of the following major features:
Following are the list of courses for which you will get IBM certificates:
The course completion certificate received after completing this Data Science course does not expire.
Upon completion of the following minimum requirements, you will be eligible to receive the Data Scientist Master’s certificate that will testify to your skills as an expert in Data Science.
|Data Science with Python||
|85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and score above 60% in course-end assessment and successful evaluation in at least 1 project|
85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project
|Deep Learning with Keras and TensorFlow||
Attend 1 Live Virtual Classroom and successful evaluation in at least 1 project and score 70% for course-end assessment
85% of Online Self-paced completion or attendance of 1 Live Virtual Classroom, and successful evaluation in at least 1 project
Data Science Capstone Project
Attendance of 1 Live Virtual Classroom and successful completion of the capstone project
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.
Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link, or contact Help & Support.
All of our highly qualified Data Science trainers are 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.
Our teaching assistants are a dedicated team of subject matter experts to help you get certified in Data Science on 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.
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 Science course with us.
Seattle is a bustling urban hub in the state of Washington with a population of 753,675. It is the largest city in both the states of Washington and the Pacific Northwest region of North America. Seattle has chilly wet winters and mild, relatively dry summers. Seattle boasts a long coastline on one side with mountains on the other.
Seattle is a city of international economic importance and is linked to global distribution networks by road, rail, air, and ship. Seattle has a GDP per capita of $96k and is the 4th highest amongst metropolitan cities in the USA.
Seattle is home to world-renowned museums, parks, and vibrant and pristine beaches as well as mountains. The Emerald City is one of the most fun-filled towns to explore either as residents or first-time tourists. Some of the main attractions in Seattle are:
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