DataFrames Courses and Certifications

Introduction to Applied Business Analytics

322 ratings at Coursera

Discover how to use Python for business data analytics, from cleaning and transforming data to creating visualizations and automating business problem-solving workflows.

• Coursera
• 13 hours 57 minutes
• Self-Paced
• Paid Course

Apache Spark for Java Developers

3775 ratings at Udemy

Get processing Big Data using RDDs, DataFrames, SparkSQL and Machine Learning - and real time streaming with Kafka!

• Udemy
• 21 hours 43 minutes
• Self-Paced
• Paid Course

Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru

3364 ratings at Udemy

Learn analyzing large data sets with Apache Spark by 10+ hands-on examples. Take your big data skills to the next level.

• Udemy
• 3 hours 27 minutes
• Self-Paced
• Paid Course

Snowflake

Intro to Snowflake for Devs, Data Scientists, Data Engineers

222 ratings at Coursera

Comprehensive introduction to Snowflake for developers and data professionals, covering core concepts, advanced features, and practical applications in data engineering, AI/ML, and app development.

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

Apache Spark 3 - Databricks Certified Associate Developer

2642 ratings at Udemy

Learn Apache Spark 3 With Scala & Earn the Databricks Associate Certification to prove your skills as data professional

• Udemy
• 4 hours 32 minutes
• Self-Paced
• Paid Course

BiteSize Python: NumPy and Pandas

Master data manipulation and analysis with NumPy and Pandas libraries, exploring multidimensional arrays, Series, DataFrames, and essential statistical operations for efficient handling of large datasets.

• Coursera
• 13 hours 16 minutes
• Self-Paced
• Paid Course

Apache Spark 3 & Big Data Essentials in Scala

2296 ratings at Udemy

Learn practical Big Data with Apache Spark DataFrames, Datasets, RDDs and Spark SQL, hands-on, in Scala

• Udemy
• 7 hours 18 minutes
• Self-Paced
• Paid Course

Databricks Certified Associate Developer - Apache Spark

1968 ratings at Udemy

A Step by Step Hands-on Guide to prepare for Databricks Certified Associate Developer for Apache Spark using Pyspark

• Udemy
• 14 hours 27 minutes
• Self-Paced
• Paid Course

Best Hands-on Big Data Practices with PySpark & Spark Tuning

1542 ratings at Udemy

Semi-Structured (JSON), Structured and Unstructured Data Analysis with Spark and Python & Spark Performance Tuning

• Udemy
• 13 hours 5 minutes
• Self-Paced
• Paid Course

PYSPARK End to End Developer Course (Spark with Python)

1335 ratings at Udemy

Learn PySpark end to end features and functionalities. Course also includes a Python course and HDFS Commands Course.

• Udemy
• 1 day 5 hours 6 minutes
• Self-Paced
• Paid Course

AI Workflow: Enterprise Model Deployment

62 ratings at Coursera

Explore Apache Spark, Docker, and Watson Machine Learning for enterprise model deployment. Learn best practices for data manipulation, model training, and tuning, focusing on recommender systems and scalable solutions.

• Coursera
• 9 hours 16 minutes
• Self-Paced
• Paid Course

Master Apache Spark - Hands On!

1323 ratings at Udemy

Learn how to slice and dice data using the next generation big data platform - Apache Spark!

• Udemy
• 6 hours 59 minutes
• Self-Paced
• Paid Course

Packt Credential

Data Analysis with Pandas and Python

41 ratings at Coursera

Domina el análisis de datos con Python y Pandas: desde la configuración hasta visualizaciones avanzadas. Aprende estructuras de datos, manipulación de fechas, operaciones de E/S y técnicas de visualización para roles analíticos avanzados.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

EDUCBA

PySpark & Python: Hands-On Guide to Data Processing

41 ratings at Coursera

Master distributed data processing with Python and Apache Spark through hands-on RDD operations, DataFrame manipulation, MySQL integration, and scalable pipeline construction.

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

Packt

Foundations of Data Analysis with Pandas and Python

30 ratings at Coursera

Master Python and Pandas for data analysis. Learn setup, programming basics, and advanced techniques. Gain skills in data manipulation, importing, and analysis methods for efficient and sophisticated insights.

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