Knowledge Hut

MARCH 29, 2024

Data Scientist Template Link: Data Scientist (Download here) Why This Cover Letter Works: Highlights technical proficiency in relevant data analysis tools and programming languages. Provides examples of utilizing data to solve complex business problems.

Database-centric 52

Database-centric Programming Language BI Finance 52

Knowledge Hut

MAY 31, 2023

Sales Analysis Source Code Dataset Customer Review Sentiment Analysis It is the process of determining the emotional state of customers after they purchase or use the products. Students can use Python or R for data analysis. Tools like TextBlob and NLTK for sentiment analysis.

Project 52

Project Datasets Media Python 52

Knowledge Hut

NOVEMBER 3, 2023

MongoDB’s unique architecture and features have secured it a place uniquely in data scientists’ toolboxes globally. With large amounts of unstructured data requiring storage and many popular data analysis tools working well with MongoDB, the prospects of picking it as your next database can be very enticing.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Knowledge Hut

JANUARY 19, 2024

Among BI analysts, proficiency with data analysis tools that provide machine learning solutions has also grown in demand. Data Visualization: The ability to use services like Tableau and Power BI is frequently listed as a requirement in job descriptions. 3 to 5 years of expertise in data analytics or supply chain.

Business Intelligence 52

Business Intelligence BI Business Analyst Finance 52

Knowledge Hut

DECEMBER 22, 2023

Organize and manage data used in analysis, ensuring data integrity and accuracy. Showcase Technical Skills: Highlight your technical skills, such as proficiency in data analysis tools (SQL, Excel), programming languages, and software development methodologies (Agile, Waterfall).

Business Analyst 52

Business Analyst Portfolio Certification Education 52

ProjectPro

AUGUST 24, 2021

Project Idea: Azure Pureview is a data governance tool introduced by Microsoft that lets its users handle data better. In this project, you will learn how to use this tool as a beginner, and you will learn how to manage the ingested data and implement data analysis tools over it to draw insightful conclusions.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52