Jupyter Notebooks Courses and Certifications

DP-604: Implement a Data Science Machine Learning Solution for AI with Microsoft Fabric (Live Online)

8 ratings at CourseHorse

Elevate your data science skills with a deep dive into machine learning solutions using Microsoft Fabric.

• CourseHorse
• 6 hours
• Self-Paced
• $595.00

Data Visualization Fundamentals in Python

Master Python data visualization using Matplotlib and Seaborn to transform complex datasets into compelling visual narratives and communicate insights effectively.

• Coursera
• 22 hours 37 minutes
• Self-Paced
• Paid Course

CertNexus

Train Machine Learning Models

Aprende conceptos básicos de machine learning, prueba hipótesis, y entrena, ajusta y evalúa modelos para clasificación, regresión y clustering. Requiere conocimientos en tecnología informática y programación.

• Coursera
• 1 day 4 hours 39 minutes
• Self-Paced
• Paid Course

Synthetic Aperture Radar: Ecosystems

Explore Synthetic Aperture Radar for ecosystem monitoring, including forest degradation, agriculture, and biomass estimation. Learn SAR principles, data interpretation, and hands-on applications.

• edX
• 4 weeks, 4-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Learn Ventures

Intro to Data Science & Machine Learning

A first introduction to data science and machine learning. Use Python to acquire, clean, and analyze data using powerful machine leanring models and popular data science libraries.

• edX
• 8 weeks, 1-5 hours/week
• Self-Paced
• Free Certificate

Coursera

PySpark Foundations: Process, analyze, and summarize data

Master PySpark fundamentals for big data analysis through hands-on HR data processing, from environment setup to data visualization and aggregation. Build practical skills for handling large-scale datasets efficiently.

• Coursera
• 1 hour 35 minutes
• Self-Paced
• Paid Course

Working with Notebooks in Vertex AI

Explore Vertex AI Notebooks: a unified Jupyter-based platform for machine learning workflows. Learn about notebook types, features, creation, and management in Google Cloud's ML environment.

• Coursera
• 2 hours 34 minutes
• Self-Paced
• Paid Course

Introduction to Data Science (Public Policy)

Explore Python programming fundamentals and data analysis techniques to understand social issues through digital data, covering APIs, text analysis, and visualization methods.

• Coursera
• 21 hours 40 minutes
• Self-Paced
• Paid Course

Packt

Foundations of ML & Python for Data Science

Gain insights into machine learning fundamentals and Python programming for data science, covering statistical techniques, key libraries like NumPy and Pandas, and practical applications across industries.

• Coursera
• 14 hours 15 minutes
• Self-Paced
• Paid Course

Coursera

Compare Models with Experiments in Azure ML Studio

Learn to log plots, metrics, and compare machine learning models in Azure ML Studio. Visualize results to choose the best model for your data using Jupyter notebooks and the Azure portal.

• Coursera
• 1 hour 26 minutes
• Self-Paced
• Paid Course

Packt

Intro to NumPy

Master NumPy fundamentals through hands-on array manipulation, mathematical operations, and data visualization techniques for effective numerical computing in Python.

• Coursera
• 6 hours 42 minutes
• Self-Paced
• Paid Course

Red Hat

Introduction to Red Hat OpenShift AI

Discover Red Hat OpenShift AI fundamentals through hands-on experience with architecture, data science projects, workbenches, and Jupyter notebooks for AI/ML workloads.

• Coursera
• 4 hours 28 minutes
• Self-Paced
• Paid Course

Guided Project: Secure Analysis of a Credit Card Dataset

In this one-hour of hands-on guided project, you can easily learn how to analyze data using pandas, a popular Python library used for data analysis. This project will teach you how to analyze credit risk on a client dataset using the pandas library.

• edX
• 30 minutes
• Self-Paced
• Free Online Course

Packt

Intermediate Python – Libraries, Tools & Practical Projects

Master Python libraries like Pandas, NumPy, and Bokeh through hands-on projects including web mapping, thesaurus building, and interactive data visualization apps.

• Coursera
• 14 hours 42 minutes
• Self-Paced
• Paid Course

Packt

Financial Analysis with ARIMA and Time Series Forecasting

Master financial time series forecasting with ARIMA models, from basic concepts to advanced implementations. Learn to analyze market trends, assess risks, and make data-driven investment decisions through hands-on coding and practical applications.

• Coursera
• 9 hours 49 minutes
• Self-Paced
• Paid Course