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

APRIL 19, 2023

This article will help you understand what data aggregation is, its levels, examples, process, tools, use cases, benefits, types, and differences between data aggregation and data mining. If you would like to learn more about different data aggregation techniques check out a Data Engineer certification program.

Process 59

Process Data Mining Aggregated Data Portfolio 59

Knowledge Hut

JANUARY 18, 2024

The insights that are generated through this process of Data Science can enable businesses to identify new opportunities, increase operational efficiency and effectiveness, improve their current strategies to grow their portfolio, and strengthen their position in the market. Python libraries such as pandas, NumPy, plotly, etc.

Data Science 98

Data Science Deep Learning Business Analyst Data Mining 98

ProjectPro

SEPTEMBER 26, 2021

The sales and marketing strategies implemented today follow the data patterns and trends identified by data professionals. Similarly, the construction sector is using Big Data to anticipate the one-site risks, weather patterns, etc., Some organizations may look for skills in Big Data management or specifically Apache Spark.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

OCTOBER 18, 2021

To build such ML projects, you must know different approaches to cleaning raw data. Regression analysis: This technique talks about the predictive methods that your system will execute while interacting between dependent variables (target data) and independent variables (predictor data).

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

MARCH 14, 2014

A study at McKinsley Global Institute predicted that by 2020, the annual GDP in manufacturing and retail industries will increase to $325 billion with the use of big data analytics. In 2015, big data has evolved beyond the hype. Work on Interesting Big Data and Hadoop Projects to build an impressive project portfolio!

Hadoop 40

Hadoop Big Data Data Mining Retail 40

ProjectPro

FEBRUARY 8, 2016

The main techniques used here are data mining and data aggregation. Descriptive analytics involves using descriptive statistics such as arithmetic operations on existing data. These operations make raw data understandable to investors, shareholders, and managers. Data Mining - Identifying correlated data.

Data Mining 56

Data Mining Big Data Medical Healthcare 56