Knowledge Hut

MAY 31, 2023

Sales Data Analysis It involves the analysis of data on every aspect of a company’s sales. Excel or Google Sheets can clean and analyze data for charts and graphs. Python or R is good for advanced data analysis and statistical modeling, like looking for trends or making predictions.

Project 52

Project Datasets Media Python 52

Knowledge Hut

MAY 23, 2024

Apache Spark: Apache Spark is a well-known data science tool, framework, and data science library, with a robust analytics engine that can provide stream processing and batch processing. It can analyze data in real-time and can perform cluster management. It is much faster than other analytic workload tools like Hadoop.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

ProjectPro

FEBRUARY 5, 2022

So, how can data analysis tools help us? It will introduce you to the basics of time series and shine a light on various tools used for Exploratory Data Analysis. You will learn how to preprocess the data and plot various graphs using libraries in Python.

Deep Learning 52

Deep Learning Datasets Python Machine Learning 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