Data Science Dojo

OCTOBER 31, 2024

Key Skills Proficiency in SQL is essential, along with experience in data visualization tools such as Tableau or Power BI. Programming Questions Data science roles typically require knowledge of Python, SQL, R, or Hadoop. Their role is crucial in understanding the underlying data structures and how to leverage them for insights.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Data Science Dojo

JULY 3, 2024

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.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

MARCH 19, 2025

Apache Spark Apache Spark is a powerful data processing framework that efficiently handles Big Data. Apache Kafka Apache Kafka is a distributed event streaming platform used for real-time data processing. Apache Hive Apache Hive is a data warehouse tool that allows users to query and analyse large datasets stored in Hadoop.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Smart Data Collective

MAY 20, 2019

It’s for good reason too because automation and powerful machine learning tools can help extract insights that would otherwise be difficult to find even by skilled analysts. The entire process is also achieved much faster, boosting not just general efficiency but an organization’s reaction time to certain events, as well.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

IBM Journey to AI blog

SEPTEMBER 19, 2023

And you should have experience working with big data platforms such as Hadoop or Apache Spark. Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred. To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

AUGUST 9, 2024

Some of the most notable technologies include: Hadoop An open-source framework that allows for distributed storage and processing of large datasets across clusters of computers. It is built on the Hadoop Distributed File System (HDFS) and utilises MapReduce for data processing. Once data is collected, it needs to be stored efficiently.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

ODSC - Open Data Science

APRIL 26, 2023

Because they are the most likely to communicate data insights, they’ll also need to know SQL, and visualization tools such as Power BI and Tableau as well. Some of the tools and techniques unique to business analysts are pivot tables, financial modeling in Excel, Power BI Dashboards for forecasting, and Tableau for similar purposes.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52