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

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

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

IBM data science project portfolio website.

Repository for the IBM Data Science Certificate program

“Good stuff resides here!”

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IBM Data Science Coursera Course - Project Portfolio

Data Science Portfolio: projects, notebooks, and reflections from IBM Data Science Professional Certificate & DataCamp practice

Portfolio of projects from the IBM data science certification on coursera

My projects and portfolio in Data Science (IBM Certification and personal works).

My Data Science Portfolio with projects: IBM Stock Prediction, Credit Data, Fighters random forest

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

Portfolio of data science projects used in completion of the IBM Data Science Professional Certificate offered by Coursera.

Portfolio of data science projects completed by me for Data Science course (IBM Data Science Professional Certificate), self learning, and hobby purposes.

Data Science portfolio projects showing casing different skills sets and data techniques. Portfolio projects include certification projects through providers such as IBM

A complete portfolio of all projects, notes, and assignments from the IBM Data Science Professional Certificate.

# Coursera_Capstone Peer-graded Assignment: Capstone Project Notebook # IBM Data Science Professional Certificate | Applied Data Science Capstone Coursera Course Link: https://www.coursera.org/professional-certificates/ibm-data-science ### Description: 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.

IBM Data Science Professional Certificate Portfolio This repository serves as a portfolio of my work completed during the IBM Data Science Professional Certificate program. It includes all the hands-on labs, assignments, and final projects, showcasing my skills in key data science areas.

Real-world portfolio combining projects from IBM Data Science and AI Engineering Certificates: Python, SQL, Machine Learning, Deep Learning, and MLOps.

Personal Portfolio Repository – Showcasing my certificates, projects, and skills in Data Science, Python, and Web Development. Includes verified Coursera/IBM certifications, coding projects, and hands-on practice work.

Welcome to my Data Science project portfolio! This repository contains projects I am currently working on as part of my enrolled courses for the IBM Data Science Professional Certificate. I am fairly new to data analytics, all constructive feedback is welcomed and will be appreciated!

A Python project for Data Science as part of the IBM Data Analyst Professional Certificate course and is shared for educational and portfolio purposes. Analyses Tesla and GameStop financial data and creates an interactive dashboard for analysis.

🎓 Complete portfolio from IBM Data Scientist Professional Certificate (2025). Features SpaceX launch prediction capstone project with ML models, interactive dashboards, and end-to-end data science methodology. Includes 12 courses covering Python, SQL, machine learning, AI, and career preparation.

The program consists of 9 online courses that will provide you with the latest job-ready tools and skills, including open source tools and libraries, Python, databases, SQL, data visualization, data analysis, statistical analysis, predictive modeling, and machine learning algorithms. You’ll learn data science through hands-on practice in the IBM Cloud using real data science tools and real-world data sets. Upon successfully completing these courses, you will have 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'll also receive a digital badge from IBM recognizing your proficiency in data science.

SQL projects and hands-on labs completed as part of the IBM "Databases and SQL for Data Science with Python" course. Includes real-world data analysis using SQLite and Jupyter notebooks. All code and outputs created by Erdem Sezer for learning and portfolio purposes.

This repository hosts an end-to-end data science project focused on predicting employee salaries using various machine learning models in Python. It is designed as a portfolio-ready demonstration for IBM SkillsBuild learners and anyone interested in practical machine learning workflows.

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.