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

ProjectPro

AUGUST 16, 2021

In this blog, you will find a list of interesting data mining projects that beginners and professionals can use. Please don’t think twice about scrolling down if you are looking for data mining projects ideas with source code. The dataset has three files, namely features_data, sales_data, and stores_data.

Data Mining 40

Data Mining Coding Project Datasets 40

Knowledge Hut

MARCH 19, 2024

The broad discipline of data science is concerned with applying different scientific methods and techniques to analyze both organized and unstructured data. Data science uses and explores a variety of methods, including machine learning (ML), data mining (DM), and artificial intelligence ( AI ).

Software Engineer 52

Software Engineer Software Engineering Engineering IT 52

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

Knowledge Hut

JUNE 28, 2023

Hard Skills: In order to become a business intelligence analyst, you have to gain proficiency in data architecture, data mining, data warehousing, data modeling, data visualization, and data analysis techniques and software, along with programming languages such as Python, SQL, R, and others.

Business Intelligence 52

Business Intelligence Portfolio BI Business Analyst 52

Knowledge Hut

DECEMBER 21, 2023

As a data engineer, a strong understanding of programming, databases, and data processing is necessary. Key education and technical skills include: A degree in computer science, information technology, or a related field Expert in programming languages Python, Java, and SQL. Knowledge of Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

FEBRUARY 12, 2023

Over the years, the demand for data science job opportunities in US has grown dramatically because various industries have realized the potential and applications of data science. Data scientists find their roles in retail, research and development, the pharmaceutical industry, healthcare, e-commerce, marketing, and finance.

Data Science 52

Data Science Computer Science Portfolio Certification 52