Data Science Dojo

JULY 3, 2024

Statistics : Fundamental statistical concepts and methods, including hypothesis testing, probability, and descriptive statistics. Data Engineering : Building and maintaining data pipelines, ETL (Extract, Transform, Load) processes, and data warehousing.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Statistical Analysis: Hypothesis testing, probability, regression analysis, etc. ETL Tools: Apache NiFi, Talend, etc. Cloud Platforms: AWS, Azure, Google Cloud, etc. Read more to know.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Pickl AI

APRIL 26, 2024

Data Warehousing and ETL Processes What is a data warehouse, and why is it important? Explain the Extract, Transform, Load (ETL) process. The ETL process involves extracting data from source systems, transforming it into a suitable format or structure, and loading it into a data warehouse or target system for analysis and reporting.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

The MLOps Blog

MAY 31, 2023

To store Image data, Cloud storage like Amazon S3 and GCP buckets, Azure Blob Storage are some of the best options, whereas one might want to utilize Hadoop + Hive or BigQuery to store clickstream and other forms of text and tabular data. are captured and compared by formulating a hypothesis test to conclude with statistical significance.

ML 59

ML ML Algorithm Machine Learning 59