Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning. This program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets. It is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics. Upon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.

Complete portfolio of my 📊IBM Data Science Professional Certificate journey - featuring 9+ courses, 🏗️hands-on projects, and 🌍real-world data science applications from data collection to 📈interactive dashboards.

IBM Data Science Course Portfolio Project

Health Data Science projects from IBM Professional Certificate

IBM Cloud Projects: Hands-on Explorations Using Watson, SQL and Diverse IBM Cloud Services — A Portfolio Developed During the IBM Data Science Professional Certification.

these are files I made for my ibm data science course. some may be also included in my portfolio.

Collection of Jupyter Note from the IBM AI Engineering Professional Certificate (Coursera). This repository demonstrates my hands-on experience in machine learning, deep learning, NLP, and model deployment using PyTorch, TensorFlow, and scikit-learn. Serves as a portfolio showcase to highlight skills in AI engineering, data science, and MLOps.

This is a practice that certifies my skills in data science

My assignments for the Coursera IBM Data Science Professional Certificate course series

Portfolio projects from IBM Data Science Professional Certificate, including Python, SQL, Data Visualization, and ML projects.

A Collection of the class materials from the IBM Data Science course on Coursera.

A showcase of data science projects completed as part of the IBM Professional Data Science Certificate on Coursera. Includes real-world datasets, Python scripts, visualisations, and detailed documentation of methods and results.

This repository is a collection of multiple small projects which were performed during the IBM Data Science Professional Certification Course.

No description available

Collection of projects created while taking Coursera courses.

My journey through the IBM Data Science Professional Certificate.

This is the IBM Data Science portfolio

No description available

My complete project portfolio from the IBM Data Science Professional Certificate via Infosys Springboard.

No description available

Documentation of my IBM Data Science Professional Certificate with structured summaries, key concepts, and applications to real-world data science and research problems.

Portfolio for my learning path in IBM Data Science Professional certificate in Coursera

IBM Data Science Professional Capstone Portfolio

Portfolio from IBM Data Science Certificate

IBM data science project portfolio website.

No description available

No description available

IBM Data Science Coursera Course - Project Portfolio

“Good stuff resides here!”

No description available