Edureka

APRIL 17, 2023

In today’s data-driven world, data analytics plays a critical role in helping businesses make informed decisions. As a data analytics professional, building a strong portfolio of projects is essential to showcase your skills and expertise to potential employers. What is the Role of Data Analytics?

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

Knowledge Hut

JANUARY 19, 2024

The scope of this specialization is vast, ranging from corporate finance to investment banking, portfolio management, risk management, & financial planning. Graduates with this specialization can seek employment in a range of roles, including IT project management, systems analysis, business analysis, & technology consulting.

Recruitment 52

Recruitment Hospitality Retail Healthcare 52

ProjectPro

DECEMBER 17, 2021

With Bitcoin witnessing initial success, many investors consider cryptocurrency as an asset for their portfolio. Complete Solution: Medical Image Segmentation Deep Learning Project Data Science Take-Home Challenges for Interview Preparation While preparing for a data science interview , you must explore more practical data science challenges.

Data Science 52

Data Science Medical Datasets Machine Learning 52

ProjectPro

SEPTEMBER 26, 2021

You shall know database creation, data manipulation, and similar operations on the data sets. Data Warehousing: Data warehouses store massive pieces of information for querying and data analysis. Your organization will use internal and external sources to port the data.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

JUNE 24, 2021

Table of Contents Skills Required for Data Analytics Jobs Why Should Students Work on Big Data Analytics Projects ? Exploring various big data projects gives a better idea of where your interests lie while working with different analytics tools.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

ProjectPro

FEBRUARY 1, 2022

Data science use cases can be found in almost every industry out there e-commerce, music streaming, stock market,etc. Data Mining — How did you scrape the required data ? you set up to source your data. Data Cleaning — Explaining the data inconsistencies and how did you handle them.

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

MARCH 15, 2016

These days we notice that many banks compile separate data warehouses into a single repository backed by Hadoop for quick and easy analysis. Hadoop clusters are used by banks to create more accurate risk analysis models for the customers in its portfolio. Hadoop allows us to store data that we never stored before.

Hadoop 40

Hadoop Retail Healthcare Banking 40