• Next cohort Starts17th Jun, 2024
  • Learning FormatOnline Bootcamp
  • Course duration11 months
  • Next cohort Starts17th 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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    Generative AI Edge

    Live sessions on the latest AI trends, Generative AI tools, prompt engineering, and more

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    Applied Learning

    Capstone and 25+ industry-relevant data science projects to ensure comprehensive learning

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    Top-notch Data Science course

    Comprehensive data science 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 Science Course Overview

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features

  • Masterclasses from IBM experts
  • Dedicated live sessions by faculty of industry experts
  • Industry-recognized Data Scientist Master’s certificate from Simplilearn
  • Industry-recognized IBM certifications for IBM courses
  • Ask-Me-Anything (AMA) sessions with IBM leadership
  • Capstone from 3 domains and 25+ projects
  • Exclusive hackathons conducted by IBM
  • Lifetime access to self-paced learning content
  • Program crafted to initiate your journey as a Data Scientist
  • Integrated labs for hands-on learning experience
Key Features
Masterclasses from IBM experts
Dedicated live sessions by faculty of industry experts
Industry-recognized Data Scientist Master’s certificate from Simplilearn
Industry-recognized IBM certifications for IBM courses
Ask-Me-Anything (AMA) sessions with IBM leadership
Capstone from 3 domains and 25+ projects
Exclusive hackathons conducted by IBM
Lifetime access to self-paced learning content
Program crafted to initiate your journey as a Data Scientist
Integrated labs for hands-on learning experience

Data Science Certification Advantage

Get certified in data science through our IBM program and receive both Data Scientist and IBM certificates to enhance your career prospects. Gain exclusive access to expert-led masterclasses and engaging AMAs with industry leaders.

  • Master's Certificate

    Earn Your Data Scientist 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 Scientist Master's program developed in collaboration with IBM

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. Simplilearn with this course (offered in collaboration with IBM) trains learners via applied learning offering them a chance to gain unparalleled expertise in AI and Data science. The Data Science course in Tacoma 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 Tacoma 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 learners earn via our Data Science course in Tacoma is proof of their knowledge in the data science realms and is an attestation that they've successfully undergone this Data Science training in Tacoma. You will also receive:

  • 24/7 access to IBM’s cloud platforms, which also features IBM Watson and other relevant applications suitable for practicing your skills
  • Simplilearn’s industry-recognized Data Scientist Master's certificate

What are the learning objectives?

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. Our Data Science course in Tacoma (delivered as an IBM collaboration) trains you for key skills - data visualizations, clustering, data mining, wrangling, regression models, logistic and regression testing, hypothesis testing, and statistics. 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. Our program offering Data Science training in Tacoma ends in a Capstone project which is a culmination of all that you've learned by allowing you to work on actual business problem statements, solving which would require the application of everything you've learned in this course. All of these skills will help you become an expert Data Scientist.

What important skills or benefits will you acquire with this Data Science course in Tacoma?

  • Get a deep, working understanding of how data is structured and manipulated
  • Understand linear and non-linear regression models and classification techniques, including how to employ them, an important skill for data analysis
  • Learn the essentials of unsupervised and supervised learning models like clustering, linear and logistic regression, K-NN, dimensionality reduction, and pipeline.
  • Perform technical and scientific computing with the SciPy package and its sub-packages such as Integrate, IO, Optimize, Statistics, and Weave.
  • Achieve expertise in mathematical computing using the NumPy and Scikit-Learn packages
  • Familiarity with the many components of the Hadoop ecosystem
  • Gain experience working with HBase, including its data storage capabilities and architecture. You will also learn how to tell the difference between HBase and RDBMS, and conduct partitioning with Hive and Impala
  • You will learn about MapReduce and its characteristics, as well as how to ingest data with key tools like Sqoop and Flume
  • Master how a recommendation engine operates, and time series modeling. Moreover, the program will also train you on vital ML algorithms, techniques and cutting-edge practical applications.
  • You will gain data analysis skills in using Tableau, and become proficient in building interactive dashboards in the data science training in Tacoma.

What projects are included in this Data Science course in Tacoma?

This Data Science training in Tacoma 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:

Capstone Project:

Description: Dedicating mentoring will be available as you work on an highly industry-relevant project which has you solving a real, industry problem via the skills and technologies you'd have mastered via our bootcamp. 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
Domain: E-commerce
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 intends to enhance its recommendation engine, boost its capabilities - making it capable to make rating predictions on non-related products and having them included on the recommendation list shown to the customer.

Project 2: Improving customer experience for Comcast
Domain: Telecom
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.
Domain: Retail
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 Tacoma.
Domain: HealthCare
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.
Domain: Insurance
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. 
Domain: Banking
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.
Domain: Engineering
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.
Domain: Retail
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.

Who should take this Data Science course in Tacoma?

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. Individuals having a passion for data science, an analytical mindset and good education will find this Data Science training in Tacoma to be most beneficial; these include:

  • IT Professionals
  • Analytics Managers
  • Business Analysts
  • Banking and Finance Professionals
  • Marketing Managers
  • Supply Chain Network Managers
  • Beginners or Recent Graduates in Bachelors or Master’s Degree

What are the prerequisites for this data science course in Tacoma?

If individuals are looking to enroll and get the best out of this Data Scientist Course in Tacoma, they’d need

  • Basic (working level) knowledge of Statistics
  • A fundamental grasp of any related programming language

What type of jobs will I be suited for after completing this data science course in Tacoma?

As a successful learner of our globally-recognized Data Science course in Tacoma, you will have with you a unique skillset that will allow you to go after top jobs like:

  • Data Scientist 
  • Data Analyst
  • Manager or Lead - Analytics 
  • ML (Machine Learning) Engineer
  • Statistical Programming Specialist

Why be a Data Scientist?

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 Tacoma. A trained data science professional grasp problem statements gather and assimilate data, come up with data analysis strategies, apply the most effective techniques or algorithms to come up with actionable insights for implementation.

Data Science Certification Learning Path

Accelerate your career with our top-ranked data scientist course. Learn the skills needed to showcase your data science skills through our curated learning path.

Learning Path

Electives:
  • Discover R Programming with this introductory course. Learn how to write R code, utilize R data structures, and create your own functions.

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

    • 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

  • Delve into AI basics and generative AI principles. Grasp the importance of explainable AI. Employ prompt engineering to enhance generative AI performance. Understand ChatGPT's mechanisms, features, and constraints. Explore varied ChatGPT applications. Gain foresight into generative AI's future and challenges.

  • Attend this online interactive industry master class to gain insights about Data Science advancements and AI techniques.

15+ Skills Covered

  • Generative AI
  • Prompt Engineering
  • ChatGPT
  • Exploratory Data Analysis
  • Descriptive Statistics
  • Inferential Statistics
  • Explainable AI
  • Conversational AI
  • Large Language Models
  • Model Building and Finetuning
  • Ensemble Learning
  • Data Visualization
  • Database Management
  • Data Science
  • Supervise and Unsupervised Learning

14+ Tools Covered

ChatGPTDalle.2MySQLFSDNumPypandasSciPypythonRSeabornScikitLearntableauMatPlotlibMicrosoft ExcelPowerBI

Industry Projects

  • Project 1

    Sales Analysis

    Utilize Python to analyze a clothing company’s sales data for the fourth quarter across Australian states to help the company make data-driven decisions for the coming year.

  • Project 2

    Employee Performance Analysis

    Build ML models to understand various factors affecting employee turnover. Use clustering, SMOTDE & K-fold validation to analyze their performance & suggest retention strategies.

  • Project 3

    Classification of Songs

    Perform exploratory data analysis and cluster analysis to create personalized song lists and an efficient recommendation system.

  • Project 4

    Interactive Sales Dashboard

    Create an interactive sales dashboard for an apparel OEM in Tableau for the sales department.

  • Project 5

    Crime Analysis with Tableau Dashboard

    Prepare a dashboard to keep the police department and the city updated on the statistics of crime events. You must create a dashboard/story using Tableau.

  • Project 6

    Marketing Strategies with Exploratory Data Analysis

    Perform exploratory data analysis and hypothesis testing to help a marketing department understand the factors contributing to customer acquisition and build a better strategy.

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

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Join the Data Science industry

Data science & analytics jobs are booming with 31% projected growth this decade. The data science platform market could surge from USD 10.15 billion (2024) to USD 29.98 billion (2029), demonstrating a 23.5% CAGR. This highlights the field's rapid expansion.

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$ 117-206K

Average Annual Salary (US)

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, Tacoma
     course learners from Ernst & Young, Tacoma
     course learners from Fidelity Investments, Tacoma
     course learners from Johnson and Johnson, Tacoma
     course learners from Vodafone, Tacoma
     course learners from Broadcom, Tacoma
     course learners from Accenture, Tacoma
     course learners from Nomura Holdings, Tacoma
     course learners from Ericsson, Tacoma
     course learners from Infosys, Tacoma
     course learners from Nvidia, Tacoma
     course learners from Tata Consultancy Services, Tacoma

Learner Reviews

Financing

The admission fee for this program is $ 1,449

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$ 1,449

Data Science Training FAQs

  • How do I become a Data Scientist?

    This Data Science course in Tacoma 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.

  • What can I expect from this Simplilearn Data Science course developed in collaboration with IBM?

    As a part of this Data Science training in Tacoma, in collaboration with IBM, you will receive the following:

    • Lifetime access to e-learning course syllabus for all of the Data Science 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
    • 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 Scientist course in Tacoma?

    You can enroll in this Data Science training in Tacoma 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 Scientist in Tacoma?

    Data Scientist's key role is to help companies demonstrate and organise data and solve intricate problems using mastery in a variety of data. Data Scientist in Tacoma who has ended up with masters in Data Scientist Training Tacoma at entry level position earn an average salary of $96,455 annually.

  • What are the major companies hiring for a Data Scientist in Tacoma?

    Deloitte, Infoblox, Perficient, Amazon.com Services LLC, General Dynamics Information Technology, ICF, Aero Precision LLC, Blue Origin, Zones, Sentient Energy, Providence are some of the topmost companies in Tacoma who recruit in bulk to those professionals who have completed masters in Data Scientist Training Tacoma.

  • What are the major industries in Tacoma?

    Healthcare, Insurance and financial, aerospace, Logistics and Trade, government and education are the major industries in Tacoma. These industries are being aided by the new technologies, so they give preference to those Data Scientists who are masters in Data Scientist Training Tacoma.

  • How to become a Data Scientist in Tacoma?

    For people who are aiming to frame their career in Data Science in Tacoma, masters in Data Scientist Training Tacoma makes use of the curriculum that is differently designed for freshers with no prior experience as well as for the experienced professionals with equal potential.

  • How to find a Data Science course in Tacoma?

    To get enrolled in a masters in Data Scientist Training Tacoma, high speed data connection should be your primary concern. On the internet, search for the institutes offering this course in Tacoma, take a quick review of their time table and fee structure then go for the one which best matches your needs.

Data Scientist Course in Tacoma

Tacoma is a city in Washington state, which is situated on the banks of Puget Sound, south of Seattle. Tacoma is expanded over an area of 161.7 square kilometers providing home to around 221,259 according to the census report of 2021. Total Gross Domestic Product for Seattle-Tacoma-Bellevue, WA (Metropolitan Statistical Area) was estimated around 424,750.310 Millions of Dollars in 2019. Total GDP per capita for Seattle-Tacoma-Bellevue, WA was 80,833 Millions of Dollars in 2017. Tacoma receives 39 inches of rain every year. Summers in Tacoma are warm, dry, short and partly cloudy whereas winters are very cold, wet and dry. Tacoma offers attractive opportunities to people with masters in Data Scientist Training Tacoma.

Tacoma is well known for its world renowned glass art. Tacoma’s vibrant urban core is rich in culture. Tacoma every year welcomes a big number of tourists. Students also pitch into this city to do masters in Data Scientist Training Tacoma to frame their career in Data Science.

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