Remove AWS Remove Hypothesis Testing Remove Power BI
article thumbnail

A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. R : Often used for statistical analysis and data visualization.

article thumbnail

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

Statistical Analysis: Hypothesis testing, probability, regression analysis, etc. Cloud Platforms: AWS, Azure, Google Cloud, etc. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc. Machine Learning: Supervised and unsupervised learning techniques, deep learning, etc.

article thumbnail

Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

Yes, I am proficient in data visualisation tools such as Tableau, Power BI, and Matplotlib in Python, which I use to create interactive and insightful visualisations for data analysis. Have you worked with cloud-based data platforms like AWS, Google Cloud, or Azure? Access to IBM Cloud Lite account.