Technology training

Data Scientist Training

Learn what data scientists do and how they do it: a semi-in-depth, practical course covering the role, vocabulary, common procedures, safety and career launch.

Updated By the Career Education Institute Curriculum Team
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What you’ll learn in Data Scientist training

A practical, general introduction to the data scientist job: what the role involves, 15+ key terms, how to perform common tasks such as clean a dataset for analysis and build and evaluate a prediction model, safety essentials and how to launch your career. Online, self-paced, about 12 hours, $109.99.

  • Tuition
    $109.99
    Volume pricing from 2 seats
  • Length
    12 hours
    10 modules
  • Format
    Online
    Self-paced, any device
  • Access
    12 months
    LMS access
  • Level
    Beginner
    To intermediate
  • You receive
    Certificate
    Of completion

Learning outcomes

By the end of this course you will be able to:

  • Explain what a data scientist does day to day, where they work and how the role fits into the team
  • Use 15+ essential data scientist terms correctly
  • Walk through clean a dataset for analysis, build and evaluate a prediction model, and analyze an a/b test step by step
  • Identify the tools, equipment and technology used on the job
  • Apply core safety, compliance and professional standards
  • Map your path into the field, including credentials such as Google Advanced Data Analytics Certificate

Course syllabus

10 modules, about 12 hours in total.

MODULE 01Introduction to the Data Scientist Role1 hr
  • What data scientists do and why the role matters
  • Where they work: settings, employers and teams
  • Pay, job outlook and the career ladder
  • Professional and ethical expectations
MODULE 02A Day on the Job45 min
  • A realistic shift, start to finish
  • Schedules, shifts and workload
  • Working with supervisors, coworkers and customers
  • The best and hardest parts of the job
MODULE 03Essential Data Scientist Vocabulary1 hr 10 min
  • Key term: Dataset
  • Key term: Feature
  • Key term: Model
  • Key term: Training data
  • Key term: Overfitting
  • Plus 10 more terms with practice drills
MODULE 04Core Duties and Responsibilities1 hr 10 min
  • Gather and clean data from many sources
  • Explore data with statistics and visualizations
  • Build predictive and machine learning models
  • Design and analyze experiments
  • Deploy and monitor models
MODULE 05Common Tasks, Step by Step2 hr 40 min
  • How to clean a dataset for analysis
  • How to build and evaluate a prediction model
  • How to analyze an a/b test
  • Common mistakes and how to avoid them
MODULE 06Tools, Equipment and Technology1 hr
  • Python libraries such as pandas and scikit-learn
  • Jupyter notebooks
  • SQL databases and data warehouses
  • Visualization tools such as Tableau or Power BI
  • Cloud platforms
MODULE 07Safety, Compliance and Professional Standards1 hr 25 min
  • Protect personal and sensitive data
  • Follow privacy laws and company policies
  • Check models for bias and fairness
  • Take screen breaks and use ergonomic setups
MODULE 08Skills Employers Look For1 hr
  • Python or R
  • SQL
  • Statistics
  • Curiosity
  • Communication
MODULE 09Launching Your Data Scientist Career1 hr
  • Education and training pathways
  • Credential overview: Google Advanced Data Analytics Certificate
  • Credential overview: Microsoft Certified: Azure Data Scientist Associate
  • Resume and interview preparation
  • Your first 90 days on the job
MODULE 10Final Knowledge Check1 hr
  • Comprehensive practice exam with explanations
  • Certificate of completion on passing

Who this training is for

  • Students: find out what the data scientist job is really like before choosing a program or major.
  • Career changers: test-drive the field and build vocabulary and confidence before investing in formal training.
  • New hires and employers: shorten ramp-up time with a consistent foundation for every new data scientist.

Pricing

$109.99 per learner. Buying for a team? Volume pricing applies automatically from 2 learners.

SeatsDiscount
2 to 101% off
11 to 202% off
21 to 503% off
51 to 1005% off
101 to 2507% off
251 to 5008% off
501 to 1,00010% off

Free preview lessons

Sample the course material for free:

Why train for this career

Data scientists collect, clean and analyze data, build statistical and machine learning models, and communicate findings that help organizations make decisions. BLS reports a median wage of $120,230 (May 2025) and about 24,800 openings per year. Read the full data scientist career profile or see salary details.

Enroll in Data Scientist Training

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Course Data Scientist Training · 12 hours · $109.99 per learner

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Data Scientist training FAQ
How long is the Data Scientist training?
About 12 hours, online, self-paced. You get 12 months of LMS access, so you can learn around work or school.
How much does the Data Scientist training cost?
$109.99 per learner. Volume pricing applies automatically from 2 learners, up to 10% off for large groups.
Is the course online?
Yes. The course runs on our online learning platform (LMS). After you enroll, we email your login details.
Will this course make me a licensed or certified data scientist?
No. This is a general career-preparation course. It does not by itself grant a state license, national certification or academic credit. It is designed to help you understand the job and prepare for the formal training, exams and interviews that follow.
Who is this course for?
Students exploring careers, adults changing careers, new hires who want a faster ramp-up, and employers onboarding data scientists.
How do I enroll?
Use the enrollment form on this page. It opens a pre-filled email to our team, and we reply with your payment link or invoice and your LMS access. You can also call 1-866-429-6742.
Do you offer group or employer pricing?
Volume pricing from 2 seats. Choose “My team or employees” on the form or visit our employer training page.
What do I receive when I finish?
Certificate of completion from Career Education Institute after you pass the final knowledge check.


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