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652 coursesSe matchande projekt

course

Marketing Analytics in Tableau

  • MellanliggandeFärdighetsnivå
  • 4.4+
  • 248

Master marketing analytics using Tableau. Analyze performance, benchmark metrics, and optimize strategies across channels.

Dataförberedelse

6 timmar

course

Marketing Analytics: Predicting Customer Churn in Python

  • MellanliggandeFärdighetsnivå
  • 4.6+
  • 247

Learn how to use Python to analyze customer churn and build a model to predict it.

Explorativ dataanalys

4 timmar

course

Introduction to Scala

  • MellanliggandeFärdighetsnivå
  • 4.8+
  • 246

Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.

Programvaruutveckling

3 timmar

course

Quantitative Risk Management in R

  • GrundläggandeFärdighetsnivå
  • 4.4+
  • 246

Work with risk-factor return series, study their empirical properties, and make estimates of value-at-risk.

Tillämpad ekonomi

5 timmar

course

Analyzing IoT Data in Python

  • MellanliggandeFärdighetsnivå
  • 4.7+
  • 245

Learn how to import, clean and manipulate IoT data in Python to make it ready for machine learning.

Datamanipulation

4 timmar

course

Data Transformation in KNIME

  • GrundläggandeFärdighetsnivå
  • 4.6+
  • 238

Enhance your KNIME skills with our course on data transformation, column operations, and workflow optimization.

Dataförberedelse

2 timmar

course

Introduction to Network Analysis in Python

  • MellanliggandeFärdighetsnivå
  • 4.5+
  • 238

This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.

Sannolikhet och statistik

4 timmar

course

Survival Analysis in R

  • MellanliggandeFärdighetsnivå
  • 4.7+
  • 237

Learn to work with time-to-event data. The event may be death or finding a job after unemployment. Learn to estimate, visualize, and interpret survival models!

Sannolikhet och statistik

4 timmar

course

MLOps for Business

  • GrundläggandeFärdighetsnivå
  • 4.8+
  • 236

Learn about MLOps, including the tools and practices needed for automating and scaling machine learning applications.

Maskininlärning

3 timmar

course

Visualizing Geospatial Data in R

  • MellanliggandeFärdighetsnivå
  • 4.4+
  • 236

Learn to read, explore, and manipulate spatial data then use your skills to create informative maps using R.

Datavisualisering

4 timmar

course

Building and Optimizing Triggers in SQL Server

  • MellanliggandeFärdighetsnivå
  • 4.7+
  • 235

Learn how to design and implement triggers in SQL Server using real-world examples.

Programvaruutveckling

4 timmar

course

Introduction to Portfolio Analysis in R

  • GrundläggandeFärdighetsnivå
  • 4.5+
  • 235

Apply your finance and R skills to backtest, analyze, and optimize financial portfolios.

Tillämpad ekonomi

5 timmar

course

Python for Spreadsheet Users

  • GrundläggandeFärdighetsnivå
  • 4.7+
  • 234

Use your knowledge of common spreadsheet functions and techniques to explore Python!

Programvaruutveckling

4 timmar

course

Baseball Data Visualization in Power BI

  • GrundläggandeFärdighetsnivå
  • 4.7+
  • 233

Discover how to analyze and visualize baseball data using Power BI. Create scatter plots, tornado charts, and gauges to bring baseball insights alive.

Datavisualisering

1 timme

course

Advanced Probability: Uncertainty in Data

  • AvanceradFärdighetsnivå
  • 4.7+
  • 230

Develop a better intuition for advanced probability, risk assessment, and simulation techniques to make data-driven business decisions with confidence.

Sannolikhet och statistik

2 timmar

course

Introduction to AI Apps in Sigma

  • GrundläggandeFärdighetsnivå
  • 4.8+
  • 229

Build interactive AI apps in Sigma using user input, actions, and polished interfaces, no coding required.

Rapportering

2 timmar

course

Writing Efficient Code with pandas

  • MellanliggandeFärdighetsnivå
  • 4.6+
  • 226

Learn efficient techniques in pandas to optimize your Python code.

Programvaruutveckling

4 timmar

course

Python for R Users

  • MellanliggandeFärdighetsnivå
  • 4.7+
  • 220

This course is for R users who want to get up to speed with Python!

Programvaruutveckling

5 timmar

course

Visualizing Time Series Data in R

  • MellanliggandeFärdighetsnivå
  • 4.7+
  • 218

Learn how to visualize time series in R, then practice with a stock-picking case study.

Datavisualisering

4 timmar

course

Introduction to Business Valuation

  • GrundläggandeFärdighetsnivå
  • 4.8+
  • 216

Learn business valuation with real-world applications and case studies using discounted cash flows (DCF).

Tillämpad ekonomi

3 timmar

course

Building Dashboards with shinydashboard

  • GrundläggandeFärdighetsnivå
  • 4.3+
  • 216

Learn to create interactive dashboards with R using the powerful shinydashboard package. Create dynamic and engaging visualizations for your audience.

Rapportering

4 timmar

course

Develop Azure Event-based and Message-based Solutions

  • MellanliggandeFärdighetsnivå
  • 4.6+
  • 215

Learn to design scalable event-driven architectures in Azure using messaging services and real-world integrations.

Moln

3 timmar

course

Data Manipulation in KNIME

  • GrundläggandeFärdighetsnivå
  • 4.7+
  • 214

Automate data manipulation with KNIME, mastering merging, aggregation, database workflows, and advanced file handling.

Datamanipulation

3 timmar

course

Machine Learning for Marketing in Python

  • MellanliggandeFärdighetsnivå
  • 4.5+
  • 214

From customer lifetime value, predicting churn to segmentation - learn and implement Machine Learning use cases for Marketing in Python.

Maskininlärning

4 timmar

course

Case Study: Financial Analysis in KNIME

  • MellanliggandeFärdighetsnivå
  • 4.1+
  • 213

Apply financial analysis in KNIME with real-world data, enhancing data preparation and workflow skills.

Tillämpad ekonomi

3 timmar

course

A/B Testing in R

  • MellanliggandeFärdighetsnivå
  • 4.6+
  • 212

Learn the basics of A/B testing in R, including how to design experiments, analyze data, predict outcomes, and present results through visualizations.

Sannolikhet och statistik

4 timmar

course

Monitor and Troubleshoot Azure Solutions

  • MellanliggandeFärdighetsnivå
  • 4.6+
  • 210

Learn how to monitor, diagnose, and optimize Azure applications using Azure Monitor, Application Insights, and Log Analytics.

Moln

3 timmar

course

Survival Analysis in Python

  • AvanceradFärdighetsnivå
  • 4.7+
  • 209

Use survival analysis to work with time-to-event data and predict survival time.

Sannolikhet och statistik

4 timmar

course

Case Study: Set Up a Book Recommendation App in Azure

  • GrundläggandeFärdighetsnivå
  • 4.2+
  • 209

Learn to set up a secure, efficient book recommendation app in Azure in this hands-on case study.

Moln

2 timmar

course

Working with DeepSeek in Python

  • GrundläggandeFärdighetsnivå
  • 4.4+
  • 207

Discover what all of the DeepSeek hype was really about! Build applications using DeepSeeks R1 and V3 models.

Artificiell intelligens

3 timmar

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