ProjectPro

NOVEMBER 30, 2021

Your search for business analyst project examples ends here. This blog contains sample projects for business analyst beginners and professionals. So, continue reading this blog to know more about different business analyst projects ideas. Business analysts are the demand of the twenty-first century!

Business Analyst 52

Business Analyst Project Retail Datasets 52

Knowledge Hut

JUNE 3, 2024

Data Science combines business and mathematics by employing a complex algorithm to the knowledge of the business. As a result, you can have a prediction model for your business with just a dash of statistics. Then, based on this data, they would order the next batch of groceries. Join us today!

Programming Language 96

Programming Language Data Science Entertainment Banking 96

Knowledge Hut

JANUARY 16, 2024

Several programming languages can be used to do this. R Programming: R is a programming language built by statisticians specifically to work with programming that involves statistics. It is entirely dedicated for data analysis and manipulation.

Machine Learning 98

Machine Learning Engineering Programming Language Algorithm 98

Knowledge Hut

MAY 31, 2023

High-value projects aimed at business development add value to the profile or resume of candidates who opt for a business analytics career. Here are the top 10 business analytics project examples. Sales Data Analysis It involves the analysis of data on every aspect of a company’s sales.

Project 52

Project Datasets Media Python 52

ProjectPro

JUNE 17, 2015

CIOs are looking for software engineers who can think beyond what they're doing today and for business analysts who can predict what customers will want next year and the year after that. said David Foote, Principal Analyst at Foote Partners. The demand for outside-the-box thinkers with hybrid skills is not going away."-

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 40

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. Apart from data analysis, it can also help in machine learning projects.

Data Science 52

Data Science MongoDB Programming Language Hadoop 52

Knowledge Hut

MAY 9, 2024

Responsibilities Create and test NLP systems Choose algorithms for NLP tasks Select appropriate datasets Identify text representations for language features Skills Required NLP engineers need skills such as Python, Java, and R programming, data modeling, semantic extraction, classification algorithms, problem-solving, and communication.

Data Science 52

Data Science Data Architect Data Mining Programming Language 52