Feature Engineering with PySpark

Engineering and Technology

Short Description

Learn the gritty details that data scientists are spending 70-80% of their time on; data wrangling and feature engineering.

Long Description

In the realm of data science, the real world presents a complex and disorganized landscape that requires diligent efforts to comprehend. While toy datasets such as MTCars and Iris have been meticulously curated and cleaned, they still require transformation to be effectively utilized by advanced machine learning algorithms for tasks like extracting insights, making forecasts, classifying, or clustering. This course aims to delve into the intricate aspects that occupy a significant portion (70-80%) of a data scientist's time: data wrangling and feature engineering. Moreover, as datasets continue to grow in size, we will leverage the power of PySpark to tackle the challenges posed by Big Data, effectively reducing its magnitude.

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Course Details

Duration: 4 hours
Format: Short Course
Price: USD39.00
Course Link

DataCamp

DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.

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