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Data Science Foundations

This curated path equips you with the tools and techniques to become a data science powerhouse.

$ 10,733.00 USD

$ 13,416.00 USD
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Data Science Foundations

Course Features

Qualification

Industry Certificate

Duration

36 weeks

Commitment

20 hours weekly

Skill Level

Intermediate

Delivery

Weekly mentorship, feedback and support

Start Date

October 7, 2024

Led By

Experienced industry mentors

Features

Flexible schedules and small class sizes (5 max)

Value

Affordable high quality education
Best-in-class curriculum powered by Flatiron School
Experienced industry mentors
Flexible schedules and small class sizes (5 max)
Affordable high quality education

Learn the foundations of data science

Career training & mentorship from experienced data scientists

Learn to develop software applications with the world’s most popular languages, tools, and techniques. In our online software engineering foundations program, you'll harness the power of the latest technologies and problem-solving techniques. We’ll teach you how to code, but also how to learn and adapt, as well as develop a portfolio of projects to help you launch your career in 9 months.

Why study data science with Bletchley powered by Flatiron School:

  • Learn to analyze and visualize data even without prior knowledge
  • Gain confidence using industry-standard languages like Python and SQL
  • Be mentored by a world-class data scientist
  • Small group classes (max 5 students)

This curated path equips you with the tools and techniques to become a data science powerhouse. Master big data processing, learn to craft interactive visualizations, train machine learning, and build the next innovate AI.

As an online data science school, we're here to help you gain speed and confidence with industry-leading software, equip you with the latest artificial intelligence development techniques, and graduate with original work to show employers.

Curriculum

Industry-approved curriculum to support your journey into data science

Cloud Computing, Generative AI, & Dashboards - 3 weeks

  • Create a dashboard using data science methodologies with industry standard tool(s)
  • Model exploratory data analysis with tools for multiple data sets. (SQL and SQL table relations)
  • Utilize programming techniques to process large data samples with (PySpark and Big Data)

Inferential Statistics - 3 weeks

  • Integrate statistical inference of data using the technical programming
  • Implement methodologies for statistical inference
  • Utilize mathematics, statistics, & probability for data science methodologies to derive insights

Regression - 3 weeks 

  • Perform logistic regression with data sets using programming techniques, lasso and ridge. 
  • Compare statistical results for different types of regression with data sets, linear, transformations of linear, and multiple linear regressions
  • Utilize mathematics, statistics, & probability for data science methodologies to derive insights

Introduction to Machine Learning with Scikit-Learn - 3 weeks 

  • Utilize foundational machine learning modeling like decision trees and supervised learning
  • Prepare data for machine learning modeling with preprocessing (feature extraction) and normalization
  • Utilize mathematics, statistics, & probability for data science methodologies to derive insights

Machine Learning with Scikit-Learnv - 3 weeks 

  • Create components for an API using industry standard design practices
  • Integrate industry standard techniques for an API 

NLP, Time Series, NN - 3 weeks

  • Develop insights from language, time, and image data using neural models (Natural Language Processing (NLP)
  • Integrate mathematics, statistics, & probability for data science methodologies to derive insights

Neural Networks and Similar Models - 3 weeks

  • Create an advanced neural network application
  • Integrate mathematics, statistics, & probability for data science methodologies to derive insights

Data Science Capstone - 15 weeks

  • Integrate data science process using at least one method of regression
  • Integrate data science process using at least one method of non-regression supervised learning
  • Integrate data science process at least one method of non-regression unsupervised learning

Tuition

Flexible small group class are the best way to learn from top industry mentors

in a fun, collaborative environment, while still getting plenty of personalized feedback.

Upfront - Save 20%

$10,733

Pay as You Go - Save 10%

$12,078

9 monthly payments of $1,342

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Financed Tuition

$13,416

Monthly payments as low as $298*

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Course Mentors

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Full Name

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Data Science Foundations FAQs

Learn more

What are the prerequisites for the date science foundations program?

The data science essentials program.

What are the software and hardware requirements for the foundations programs?

Software:

Visual Studio will be used in this program and can be downloaded for free.

Hardware:

Students will need a computer that meets the minimum requirements for Visual Studio 2022.

Will I earn a certificate or some other credential when I graduate from the foundations program?

Yes! When you pass this program, you’ll receive a signed certificate of completion. Thousands of our community members use their program certificate to demonstrate skills to potential employers — including our hiring partners — along with their LinkedIn networks. Bletchley and Flatiron School’s programs are well-regarded by many top employers, who contribute to our curriculum, hire our community, and partner with us to train their own teams.

What data careers can I explore after graduating from the foundations program?

This program gives you an excellent understanding of data science fundamentals. Depending on your level of commitment, skills, and portfolio pieces, you may be ready to start applying for entry-level positions such as:

  • Data Analyst
  • Data Scientist
  • AI Engineer

Students also gain access to additional career services to support them in their job hunt. The Bletchley community is another great resource—you can network and find out about data science job vacancies through graduates and mentors already working in the industry. 

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