Data Scientist Specialization


Data Scientist Specialization

This program offers an ideal path for experienced programmers and data analysts to advance their data science careers.


This program offers an ideal path for experienced programmers and data analysts to advance their data science careers.


Available on

Data Scientist to drive your earnings


Average salary increase of Data Scientist students who provided pre- and post-course salaries

September 2022

In this Data Scientist engineering bootcamp you will:

Use Python and SQL to access and analyze data from several different data sources.
Use principles of statistics and probability to design and execute A/B tests and recommendation engines to assist businesses in making data-automated decisions.
Deploy a data science solution to a basic flask app.
Manipulate and analyze distributed datasets using Apache Spark.
Communicate results effectively to stakeholders.

Meet the growing demand for Data Scientist and master the job-ready skills that will take your career to new heights.

Get an edge with human support

Work with a mentor, career coach, and more. They have your back and will hold you accountable.

Verify skills mastery

Project review cycle creates a feedback loop with multiple opportunities for improvement—until the concept is mastered.

Verify skills mastery

Learning accelerates as skilled mentors identify areas of achievement and potential for growth.

What will you learn

Build effective machine learning models, run data pipelines, build recommendation systems, and deploy solutions to the cloud
with industry-aligned projects

We recommend students are familiar with machine learning concepts, like those in the Intro to Machine Learning Nanodegree Program. In addition, students should be familiar with Python programming, probability, and statistics.
Solving Data Science Problems

Learn the data science process, including how to build effective data visualizations, and how to communicate with various stakeholders.

Write a Data Science Blog Post
In this project, you will choose a dataset, identify three questions, and analyze the data to find answers to these questions. You will create a github repository with your project, and write a blog post to communicate your findings to the appropriate audience. The project will help you reinforce and extend your knowledge of machine learning, data visualization, and communication.

Software Engineering for Data Scientists
Develop software engineering skills that are essential for data scientists, such as creating unit tests and building classes.
Data Engineering for Data Scientists

Learn to work with data through the entire data science process, from running pipelines, transforming data, building models, and deploying solutions to the cloud.


Build Disaster Response Pipelines with Figure Eight
Figure Eight, a company focused on creating datasets for AI applications, has crowdsourced the tagging and translation of messages to improve disaster relief efforts. In this project, you’ll build a data pipeline to prepare message data from major natural disasters around the world. You’ll build a machine learning pipeline to categorize emergency messages based on the needs communicated by the sender.

Experiment Design and Recommendations

Learn to design experiments and analyze A/B test results. Explore approaches for building recommendation systems.


Design a Recommendation Engine with IBM
IBM has an online data science community where members can post tutorials, notebooks, articles, and datasets. In this project, you will build a recommendation engine, based on user behavior and social network in IBM Watson Studio’s data platform, to surface content most likely to be relevant to a user.

Data Science Projects

Leverage what you’ve learned throughout the program to build your own open-ended Data Science project. This project will serve as a demonstration of your valuable abilities as a Data Scientist.

Data Science Capstone Project
You will leverage what you’ve learned throughout the program to build your own data science project. You will define the problem, identify and explore the data, perform your analyses, and present your solution in a blog post or frontend application. This project will serve as a demonstration of your ability as a Data Scientist, and will be an important piece of your job-ready portfolio.

What is a professional certificate?

Develop the skills necessary to complete the job

Whether you want to start a new career or change your current career, Coursera’s professional certificates help you prepare for the position. Learn at your own pace, at a time and place that is most comfortable for you. Enroll today and discover a new career with a 7-day free trial. You can pause your classes or end the subscription at any time.

Practical projects

Apply your skills to practical projects and develop a portfolio that demonstrates your job readiness to potential employers. You will need to finish the projects correctly to get your certificate.

Get a professional credential

When you complete all the courses in the program, you earn a certificate that you can share with your professional network, as well as access to professional support resources to help you start your new career. Many professional certificates have partners interested in hiring staff who recognize the professional certificate credential, and others can help you prepare for the certificate exam. You can see more information on the pages of the particular professional certificate where it applies.

Program Offer It includes
Real world projects Yes
Mentor Tech Support Yes
Student community Yes
CV support Yes
Freelance Projects Yes
Real World Project
Develop an End-to-End project that will allow you to interact in a real work environment.
Certificate to share

100% online

Get started right away and learn at your own pace.



4 months complete

8 – 10 hours / week



Data Engineer Specialization


  • 7 days free, then $49/month
  • Affordable programs and free trial for 7 days.
  • Maximum flexibility to learn at your own pace.
  • Cancel anytime.


Learn a single topic or skill, and earn a credential
  • Visit an individual course or Specialization page to purchase.
  • Access all the courses included in the learning program
  • Get a certificate upon completion
  • Cash, credit/debit card, Paypal payment
Get started with a 7-day free trial

✓ Dictated by the most important companies and universities.
✓ Affordable programs and free trial for 7 days.
✓ Apply your skills in practical projects
✓ Learn at your own pace
✓ Videos and course readings
✓ Graded tests and assignments
✓ Many programs do not require a degree or experience
✓ Certificate that can be shared after completion

To share in LinkedIn

You can share your Certificates in the Certifications section of your LinkedIn profile, on your printed resume, or in other documents.


Bootcamp AI is an organization that helps reduce the technological gap in the world, we have professional Nanodegrees curated by experts focused on job placement.

If you are subscribed, you get a 7-day free trial, which you can cancel whenever you want without any type of penalty. After that time, we do not issue refunds. However, you can cancel your subscription whenever you want. See our full refund policy .

Yes! To get started, click on the card of the course you are interested in and sign up. You can enroll and complete the course to obtain a certificate that you can share, or you can access the course as a listener to view the course materials for free. When you subscribe to a course that is part of a Certificate, you automatically subscribe to the entire Certificate. Visit the student dashboard to track your progress.

This course is completely online, so you don’t need to go to a classroom in person. You can access your lessons, readings, and assignments anytime, anywhere via the Internet or your mobile device.

Application review takes at least 15 days.

Continue with the application for the Nanodegree or sign up and start learning today.