Data Scientist Specialization
May 11, 2022 2022-10-24 14:42Data Scientist Specialization
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Level
4 months complete
8 – 10 hours / week
English
Available in
What will you learn

Prerequisites
Solving Data Science Problems
Learn the data science process, including how to build effective data visualizations, and how to communicate with various stakeholders.
PROJECT
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
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.
PROJECT
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.
PROJECT
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.
PROJECT
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.
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 |
STUDENT SERVICES | |
Mentor Tech Support | Yes |
Student community | Yes |
CAREER SERVICES | |
CV support | Yes |
Freelance Projects | Yes |

New opportunities every week with companies that validate Bootcamp AI certificates.
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Data Engineer Specialization
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✓ Apply your skills in practical projects
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✓ Videos and course readings
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As you progress through the program according to your performance, you are assigned paid projects from real companies, you can accept or reject.
You can have an ROI (Return on Investment) in the program of 200% return.