Knowledge Hut

NOVEMBER 28, 2023

Overall, a data architect is responsible for aligning the company's data assets with the defined data architecture. An Overview of Data Architect Salary in 2023 As one of the top roles in data science, data architect jobs are not restricted to one particular domain like IT or finance.

Data Architect 52

Data Architect Data Science Certification Big Data 52

Edureka

APRIL 17, 2023

Fraud Detection: Fraud detection involves using data analytics to identify and prevent fraudulent activity. This type of analysis is essential in industries such as finance and healthcare, where fraudulent activity can have severe consequences. Data Mining: Data mining involves extracting insights and patterns from large datasets.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

Knowledge Hut

DECEMBER 27, 2023

A business analyst can be employed in a wide range of industries, including healthcare, education, finance, retail, and hospitality. A Step-by-Step Guide on Pursuing a Business Analyst Career Path Get a degree in accounting, finance, IT, or any other related field.

Business Analyst 52

Business Analyst Computer Science Finance Data Analysis 52

Knowledge Hut

APRIL 20, 2023

Data mining, machine learning, statistical analysis, programming languages (Python, R, SQL), data visualization, and big data technologies. Expertise in this field is Statistics, Programming languages, mostly - Python, R, and Java, Data Engineering, Data Visualisation, and Machine Learning.

Data Science 52

Data Science Computer Science Healthcare Recruitment 52

U-Next

SEPTEMBER 29, 2022

A data analyst often works as part of an integrative team to identify the organization’s goals before managing the process of data mining, cleansing, and analysis. To get and communicate their conclusions, data analysts employ programming languages, visualization tools, and communication skills. .

Data Science 40

Data Science Data Analytics Data Mining Algorithm 40

Knowledge Hut

JUNE 28, 2023

A business intelligence analyst is a specialist who enables strategic decision-making for businesses by analyzing large, complex data sets and provides insights that drive strategic decisions. BI analysts gather and analyze data from various sources, and design and develop dashboards and reports to present insights to key stakeholders.

Business Intelligence 52

Business Intelligence Portfolio BI Business Analyst 52

ProjectPro

DECEMBER 21, 2021

Data Science How to Make a Mid Career Switch to Machine Learning? This includes knowledge of data structures (such as stack, queue, tree, etc.), A Machine Learning professional needs to have a solid grasp on at least one programming language such as Python, C/C++, R, Java, Spark, Hadoop, etc.

Machine Learning 52

Machine Learning Engineering Algorithm Computer Science 52

Knowledge Hut

NOVEMBER 28, 2023

Data scientists do more than just model and process structured and unstructured data; they also translate the results into useful strategies for stakeholders. They also have a perfect command of statistical software and programming. The duties of a data scientist go beyond just processing and analyzing data.

Data Science 52

Data Science Telecommunication Recruitment Finance 52

U-Next

AUGUST 11, 2022

Predictive analysis: Data prediction and forecasting are essential to designing machines to work in a changing and uncertain environment, where machines can make decisions based on experience and self-learning. Programming Languages: Set of instructions for a machine to perform a particular task. is highly beneficial.

Medical 52

Medical Computer Science Scala Machine Learning 52

ProjectPro

AUGUST 13, 2021

Python Machine Learning Projects on GitHub In this section, you will find those machine learning projects that can be easily implemented using the Python Programming language. Predictive Analytics Predictive Analytics involves using data science methods to estimate the value of a quantity necessary for decision making.

Machine Learning 40

Machine Learning Project Deep Learning Datasets 40

Knowledge Hut

FEBRUARY 15, 2023

More than 2 quintillion data is being produced every day, creating a demand for data analyst professions. The openings for entry-level data analyst jobs are surging rapidly across domains like finance, business intelligence, Economy services, and so on, and the US is no exception. hire expert finance data analysts often.

Data Cleanse 52

Data Cleanse Entertainment Business Intelligence Recruitment 52

ProjectPro

OCTOBER 26, 2021

Evolution of Machine Learning Applications in Finance : From Theory to Practice 15 Popular Machine Learning Frameworks to Manage Machine Learning Projects 1. It supports scalability for a wide range of GPUs and programming languages. It supports programming languages like R, Scala, Python, JavaScript, C++, etc.

Machine Learning 52

Machine Learning Programming Language Healthcare Deep Learning 52

Knowledge Hut

JANUARY 18, 2024

The demand for data analysts can be attributed to the increasing importance of data-driven decision-making in businesses and organizations of all sizes. As a result, data analysts are playing an essential role in shaping the strategic direction of businesses across various industries, from healthcare to finance to retail.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 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

Knowledge Hut

FEBRUARY 7, 2023

While these solutions offer a great breadth of functionality, users must leverage proprietary user interfaces or programming languages to express their logic. Centralize data resources Data Science Platforms have a unified location for all work. You can learn to wrangle massive data sets, data visualization, etc.

Data Science 52

Data Science Google Cloud Programming Language AWS 52

Knowledge Hut

DECEMBER 27, 2023

It is quite useful for Enterprise reporting, integration, research, CRM, data mining, data analytics, text mining, and deriving business intelligence. KNIME KNIME (an acronym for Konstanz Information Miner) is an open-source tool that supports Linux and Windows operating systems. Cons: Occupies huge RAM.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

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

ProjectPro

DECEMBER 14, 2021

Advanced Analytics with R Integration: R programming language has several packages focusing on data mining and visualization. Data scientists employ R programming language for machine learning, statistical analysis, and complex data modeling.

BI 52

BI Project Business Intelligence Datasets 52