Coursera Project Network Courses

Building Machine Learning Pipelines in PySpark MLlib

59 ratings at Coursera

Build a machine learning pipeline in PySpark MLlib: load and clean a dataset, fit a random forest regression model, then tune it with cross validation and evaluate it.

• Coursera
• 1-2 hours
• No Longer Offered
• Paid Course

TensorFlow Serving with Docker for Model Deployment

59 ratings at Coursera

Train and export TensorFlow text classification models, serve them with TensorFlow Serving and Docker, and build gRPC and REST clients in Python for inference.

• Coursera
• 2-3 hours
• No Longer Offered
• Paid Course

Creating a Student Profile in Google Docs

59 ratings at Coursera

Build a Student Profile template in Google Docs, then complete it for one student to pinpoint needs, plan accommodations, and differentiate instruction.

• Coursera
• 1 hour 55 minutes
• No Longer Offered
• Paid Course

Selenium Grid - Running Selenium tests in parallel

59 ratings at Coursera

Set up a Selenium Grid hub and node network and run automated tests in parallel across multiple browsers, operating systems, and machines.

• Coursera
• 1 hour 55 minutes
• No Longer Offered
• Paid Course

Create a Project Charter with Microsoft Word

59 ratings at Coursera

Build a project charter in Microsoft Word that documents objectives, scope, deliverables, schedule, risks, and budget for sponsor approval.

• Coursera
• 1-2 hours
• No Longer Offered
• Paid Course

Creating an Interactive KPI Management Dashboard in Tableau

58 ratings at Coursera

Build an interactive KPI dashboard in Tableau: connect to data, create key performance indicators, sparkline charts, a dashboard map, and dual axis charts.

• Coursera
• 1 hour
• No Longer Offered
• Paid Course

Explainable Machine Learning with LIME and H2O in R

58 ratings at Coursera

Build classification models quickly with H2O AutoML in R, then explain and interpret individual black-box model predictions using the LIME package.

• Coursera
• 2 hours 10 minutes
• No Longer Offered
• Paid Course

Inteligencia Artificial en Power BI

58 ratings at Coursera

Curso práctico para aprender las funcionalidades de inteligencia artificial de Power BI Desktop e integrar módulos avanzados con Python y PyCaret.

• Coursera
• 2 hours 5 minutes
• No Longer Offered
• Paid Course

Create a Landing Page using Mailchimp

58 ratings at Coursera

Create and launch a live landing page in Mailchimp where visitors can sign up for newsletters and offers, collecting emails to generate leads for your business.

• Coursera
• 1-2 hours
• No Longer Offered
• Paid Course

Use Power Bi for Financial Data Analysis

58 ratings at Coursera

Build a financial data analysis dashboard in Power BI: view, load, and transform data, then connect reports for dynamic visualizations.

• Coursera
• 1 hour 50 minutes
• No Longer Offered
• Paid Course

Ciclo completo del desarrollo de un proyecto de Data Science

58 ratings at Coursera

En este curso aprenderemos a desarrollar el ciclo completo de la ciencia de datos, desarrollando en profundidad la parte del despliegue del modelo. Para ello utilizaremos tecnologías como Python, Flask, Postman, heroku, Scikit-learn o anaconda.

• Coursera
• 2 hours 17 minutes
• No Longer Offered
• Paid Course

Enhance Student Learning through Kahoot

57 ratings at Coursera

Create a collection of Kahoot learning games and trivia quizzes to use for formative and summative assessment, review, and student engagement in classroom or remote learning.

• Coursera
• 1 hour 35 minutes
• No Longer Offered
• Paid Course

Configure VLANs on Cisco Switches

57 ratings at Coursera

Create VLANs on Cisco switches: assign switch ports, set up data and voice VLANs, verify settings, delete VLANs, and configure inter-VLAN routing.

• Coursera
• 1 hour 55 minutes
• No Longer Offered
• Paid Course

Easing the Transition to GIMP for Photoshop Users

56 ratings at Coursera

Set up GIMP to feel like Photoshop: match the desktop layout and keyboard shortcuts, map equivalent tools, and build a digital poster with common editing techniques.

• Coursera
• 2 hours 5 minutes
• No Longer Offered
• Paid Course

Handling Imbalanced Data Classification Problems

56 ratings at Coursera

Build classifiers on imbalanced datasets: apply undersampling, oversampling and SMOTE, pick suitable evaluation metrics, and use ROC curves to tune the probability threshold.

• Coursera
• 1 hour 55 minutes
• No Longer Offered
• Paid Course