Knowledge Hut

JANUARY 19, 2024

Entering the world of data science is a strategic move in the 21st century, known for its lucrative opportunities. With businesses relying heavily on data, the demand for skilled data scientists has skyrocketed. Recognizing the growing need for data scientists, institutions worldwide are intensifying efforts to meet this demand.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

Knowledge Hut

FEBRUARY 12, 2023

The number of data scientist jobs in USA for Indians increases with the increase in experience. The roles include principal data scientist, senior business analytics manager, senior machine learning engineer, and data science director. Here are the top data scientist skills required by employers in USA: 1.

Data Science 52

Data Science Computer Science Portfolio Certification 52

ProjectPro

NOVEMBER 30, 2021

Project Idea: In this project, you will work on a retail store’s data and learn how to realize the association between different products. Additionally, you will learn how to implement Apriori and Fpgrowth algorithms over the given dataset. Answer: NO!)

Business Analyst 52

Business Analyst Project Retail Datasets 52

Knowledge Hut

FEBRUARY 7, 2023

A data science platform is software that includes a variety of technologies for machine learning, data science, and other advanced analytics projects. Typically, data science projects involve using an abundance of ls (eg. We can divide the types of Data Science Platforms into 3 parts. They are: 1.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

Knowledge Hut

JUNE 30, 2023

The practice of designing, building, and maintaining the infrastructure and systems required to collect, process, store, and deliver data to various organizational stakeholders is known as data engineering. You can pace your learning by joining data engineering courses such as the Bootcamp Data Engineer.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

SEPTEMBER 27, 2021

After the birth of the new domain of Data Science, data has become a prized possession for most companies. They rely on data science algorithms to understand customer behavior, predict sales, etc. Exploring the independent variables in the dataset gives a fair idea about what algorithms can be used for that dataset.

Datasets 52

Datasets Finance Portfolio Banking 52

ProjectPro

FEBRUARY 5, 2022

Regression Models Regression models include popular algorithms like linear regression vs logistic regression , etc. Depending on the nature of the time series data, we assume an equation for the trend and use methods like least-squares fitting to estimate the coefficients in the equation. So, how can data analysis tools help us?

Deep Learning 52

Deep Learning Datasets Python Machine Learning 52

ProjectPro

DECEMBER 14, 2021

Customer Churn Analysis 2. Product Sales Data Analysis 3. Marketing Campaign Insights Analysis 4. Financial Performance Analysis 5. Healthcare Sales Analysis Intermediate-Level Power BI Project Ideas 6. Loan Application Analysis 10. Airport Authority Data Analysis 12.

BI 52

BI Project Business Intelligence Datasets 52

ProjectPro

SEPTEMBER 26, 2021

Senior Big Data Engineer Salary, The average salary of a Big Data Engineer with over 8 to 10 years of experience is around $120K. The senior-level roles require expert knowledge and skills in complex data analysis and programming. It can go up to $170K annually as per the skill-set and expertise.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 6, 2022

Humans crave stories, and visualizations allow us to create one from data. The majority of data that data scientists and machine learning engineers work with is in a structured or unstructured format that is challenging for humans to analyze and comprehend. Table of Contents Why Use Python for Data Visualization?

Python 52

Python Datasets Programming Language Data Science 52

ProjectPro

DECEMBER 22, 2016

If you are aspiring to be a data analyst then the core competencies that you should be familiar with are distributed computing frameworks like Hadoop and Spark, knowledge of programming languages like Python, R , SAS, data munging, data visualization, math , statistics , and machine learning.

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52