• TemelBeceri Seviyesi
• 4.2+
• 1.804 inceleme

Exploring flight data from NYC using advanced data joining techniques in R.

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 1.025 inceleme

Building an image processing pipeline for data augmentation.

• Orta SeviyeBeceri Seviyesi
• 4.2+
• 2.475 inceleme

Chart electric vehicle charging trends to inform strategic planning.

• TemelBeceri Seviyesi
• 4.3+
• 1.952 inceleme

Automatically generate keywords for a search engine marketing campaign using Python to send website visitors to the right landing page.

• Orta SeviyeBeceri Seviyesi
• 4.0+
• 1.301 inceleme

Build models predicting customer churn for Indian telecom customers.

• Orta SeviyeBeceri Seviyesi
• 3.9+
• 1.248 inceleme

Use joining techniques to discover the oldest businesses in the world.

• Orta SeviyeBeceri Seviyesi
• 4.0+
• 1.248 inceleme

Apply your data manipulation skills to time series data on water levels of the River Thames.

• TemelBeceri Seviyesi
• 4.2+
• 915 inceleme

Explore a dataset containing a centurys worth of Nobel Laureates. Who won? Who got snubbed?

• Orta SeviyeBeceri Seviyesi
• 4.0+
• 370 inceleme

Examine the relationship between heart rate and heart disease using multiple logistic regression.

• TemelBeceri Seviyesi
• 4.3+
• 504 inceleme

Join a leading HR consultancy to use regular expressions and data preprocessing to find tech job candidates from thousands of resumes.

• TemelBeceri Seviyesi
• 4.4+
• 300 inceleme

Use SQL to figure out the golden era of video games!

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 445 inceleme

Analyze grocery store data to identify shopping patterns and preferences.

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 904 inceleme

Analyze subscription data for a SaaS company to identify what drives customer subscription renewals.

• TemelBeceri Seviyesi
• 4.4+
• 513 inceleme

Explore Super Bowl viewership data in the age of soaring ad costs.

• Orta SeviyeBeceri Seviyesi
• 4.5+
• 377 inceleme

Compare life expectancy across countries and genders with ggplot2.

• TemelBeceri Seviyesi
• 4.3+
• 466 inceleme

Apply your knowledge of data types and categorical data to prepare a big dataset for modeling!

• Orta SeviyeBeceri Seviyesi
• 4.5+
• 292 inceleme

Write functions to forecast time series of food prices in Rwanda.