Knowledge Hut

JANUARY 29, 2024

So, join us on this enlightening journey as we demystify Data Wrangling and reveal how it empowers businesses to harness the true potential of their data. What Is Data Wrangling? Data Wrangling, often referred to as Data Munging, is a fundamental process in the world of data analysis and management.

Raw Data 52

Raw Data Data Mining Data Preparation Structured Data 52

Knowledge Hut

JANUARY 25, 2024

Data cleaning is like ensuring that the ingredients in a recipe are fresh and accurate; otherwise, the final dish won't turn out as expected. It's a foundational step in data preparation, setting the stage for meaningful and reliable insights and decision-making. Let's explore these essential tools.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Knowledge Hut

DECEMBER 27, 2023

Business analysts have a wide range of responsibilities, including data analysis, report writing, and business process improvement (BPI). Knowledge: The manager must be familiar with business analysis tools, methodologies, and processes for conducting practical data analysis.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

Knowledge Hut

OCTOBER 30, 2023

Data Visualization: Assist in selecting appropriate visualizations for data presentation and formatting visuals for clarity and aesthetics. Data Analysis: Perform basic data analysis and calculations using DAX functions under the guidance of senior team members.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Knowledge Hut

APRIL 19, 2023

Data validation: Data validation as it goes through the pipeline to ensure it meets the necessary quality standards and is appropriate for the final goal. This may include checking for missing data, incorrect values, and other issues. This will make it easier to identify and resolve any issues that arise.

Data Warehouse 52

Data Warehouse Business Intelligence ETL Tools Data Pipeline 52

ProjectPro

JANUARY 31, 2023

To manage these large amounts of data, testing necessitates using specific tools, frameworks, and processes. Big data analysis refers to the generation of data and its storage, retrieval of data, and analysis of large data in terms of volume and speed variation. Explain the data preparation process.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

DECEMBER 22, 2016

Data Analyst Interview Questions and Answers 1) What is the difference between Data Mining and Data Analysis? Data Mining vs Data Analysis Data Mining Data Analysis Data mining usually does not require any hypothesis. Data analysis begins with a question or an assumption.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52