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Data Science Tools
This course is part of multiple programs. Learn more.
Course Cost
₹ 8,430
Beginner
Skill Level
7 Weeks
Self-paced Video lessons
This introductory course from IBM provides a hands-on overview of essential data science tools used by professionals in the field. You'll explore popular platforms like Jupyter Notebooks, RStudio IDE, and IBM Watson Studio, learning their functions, capabilities, limitations, and practical applications. The curriculum covers various programming languages used in data science including Python, R, Julia, and SQL, as well as important components of a data scientist's toolkit such as libraries, packages, datasets, and machine learning models. Through cloud-hosted environments, you'll get practical experience testing these tools and running simple code in Python or R. The course culminates in a final project where you'll create and share a Jupyter Notebook on IBM Watson Studio, demonstrating your proficiency in notebook preparation and Markdown. Successful completion earns you a verifiable skill badge that showcases your newly acquired knowledge to potential employers.
4.4
35,599 Enrolled
English
What you'll learn
List and describe various tools used by data scientists and machine learning engineers
Explain different programming languages used in data science including Python, R, Julia and SQL
Navigate and utilize Jupyter Notebooks for data science projects
Work with RStudio IDE for R programming and analysis
Use GitHub for version control and collaboration in data science projects
Create, edit and share Jupyter Notebooks with proper documentation
Navigate IBM Watson Studio and leverage its features for data analysis
Identify and explain the components of a data scientist's toolkit including libraries and datasets
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments and exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
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Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: IBM Data Science Professional Certificate, Data Science Foundations
Payment options
Financial Aid
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
3.7
188
Reviews
7,03,752
Students
10
Courses
Romeo Kienzler is the Chief Data Scientist and Course Lead at IBM, where he leverages nearly two decades of experience in software engineering, database administration, and information integration. He holds a Master of Science from the Swiss Federal Institute of Technology (ETH) in Information Systems, Bioinformatics, and Applied Statistics. Since joining IBM in 2012, Romeo has focused his research on massive parallel data processing architectures and has published numerous works in the field through international publishers and conferences. In addition to his professional contributions, he is actively involved in various open-source projects. On Coursera, he teaches several courses, including Deep Learning with Keras and TensorFlow, Introduction to Big Data with Spark and Hadoop, Scalable Machine Learning on Big Data using Apache Spark, and Tools for Data Science, all designed to equip learners with essential skills in data science and machine learning
Frequently asked Questions
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