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Data Scientist Career Guide and Interview Preparation

United States

The Non-degree in Data Scientist Career Guide and Interview Preparation at International Business Machines Corporation (IBM) is a program for international students taught in English.

📖 Introduction

International Business Machines Corporation (IBM) is a globally recognized public multinational technology company founded in 1911. Initially named the Computing-Tabulating-Recording Company (CTR), it was renamed IBM in 1924. Known for its pioneering innovations in computer hardware, software, and IT consulting services, IBM has played a key role in advancing fields such as artificial intelligence (AI), cloud computing, and quantum computing. Distinguished by its commitment to research and development, IBM is responsible for groundbreaking inventions like the ATM, personal computer, and the Watson AI system.

📚 About the Program

Data science professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field? This course will prepare you to enter the job market as a great candidate for a data scientist position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and assess prospective job positions, apply to them, and lay the groundwork for interviewing. The course doesn’t stop there, however. You will also get inside tips and steps you can use to perform professionally and effectively at interviews. You will learn how to approach a code challenge and get to practice completing them. Additionally, it provides guidance about the regular functions and tasks of data scientists, as well as the opportunities of the profession and some options for career development. Let seasoned professionals share their experience to help you get ahead and land the job you want!

Data science professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field? This course will prepare you to enter the job market as a great candidate for a data scientist position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch. You will learn how to find and assess prospective job positions, apply to them, and lay the groundwork for interviewing. The course doesn’t stop there, however. You will also get inside tips and steps you can use to perform professionally and effectively at interviews. You will learn how to approach a code challenge and get to practice completing them. Additionally, it provides guidance about the regular functions and tasks of data scientists, as well as the opportunities of the profession and some options for career development. Let seasoned professionals share their experience to help you get ahead and land the job you want!

🏫 About the University

IBM, established in 1911, is one of the oldest and most influential technology companies in the world. With its headquarters in Armonk, New York, IBM has been a leader in driving technological advancement across industries. The company is known for delivering enterprise solutions in cloud computing, artificial intelligence, cybersecurity, and quantum computing. Through its AI platform Watson, IBM has revolutionized data analytics and machine learning. With a strong focus on innovation and research, IBM holds thousands of patents and is committed to addressing global challenges through technology and consulting services tailored to businesses worldwide.

💰 Fees

Application Fee

$0 USD

$0 USD

Tuition Fee

$49 USD

$49 USD

per year

✅ Entry Requirements

All students from all countries are eligible to apply to this program.

📬 Admissions Process


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