Data Science Dojo

APRIL 27, 2023

This blog lists down-trending data science, analytics, and engineering GitHub repositories that can help you with learning data science to build your own portfolio.  What is GitHub? GitHub is a powerful platform for data scientists, data analysts, data engineers, Python and R developers, and more.

Data Science 195

Data Science Analytics Analytics Power BI 195

Pickl AI

APRIL 9, 2023

In this blog, we will unfold the benefits of Power BI and key Power BI features , along with other details. What is Power BI? It is an analytical tool developed by Microsoft that enables the organization to visualise, and share insights from data. Here comes the role of Power BI.

Power BI 52

Power BI Business Intelligence Business Intelligence Cloud Computing 52

Pickl AI

JULY 28, 2023

The career of a Data Analyst is highly lucrative today and with the right skills, your dream job is just around the corner. It is expected that the Data Science market will have more than 11 million job roles in India by 2030, opening up opportunities for you. How to build a Data Analyst Portfolio?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Data Visualization 52

Pickl AI

APRIL 26, 2024

This comprehensive blog outlines vital aspects of Data Analyst interviews, offering insights into technical, behavioural, and industry-specific questions. It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Dataconomy

JULY 24, 2023

Machine learning Machine learning is a key part of data science. It involves developing algorithms that can learn from and make predictions or decisions based on data. Familiarity with regression techniques, decision trees, clustering, neural networks, and other data-driven problem-solving methods is vital.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Pickl AI

MAY 29, 2024

Techniques such as hover-over tooltips, clickable elements, and filterable controls enhance user engagement and facilitate a deeper understanding of the data. Tools like Tableau, Power BI, and D3.js By visualizing the network structure, analysts can identify key influencers, clusters, and pathways within the data.

Data Visualization 52

Data Visualization Analytics Analytics Power BI 52

Pickl AI

JULY 25, 2023

Unfolding the difference between data engineer, data scientist, and data analyst. Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. These models may include regression, classification, clustering, and more.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52