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

phData: Data Engineering

SEPTEMBER 4, 2024

SpotIQ and AI-Driven Insights SpotIQ is a ThoughtSpot feature that leverages generative AI and machine learning (ML) to uncover anomalies across large datasets, identify patterns, isolate trends, segment data, analyze root causes, and forecast data for future scenarios. Why Use ThoughtSpot?

BI 52

BI Hospitality Healthcare Pharmaceutical 52

ProjectPro

NOVEMBER 18, 2021

Analysis of Big data also helps them understand new item sales, make decisions on discontinuing products, and the performance of brands. Walmart runs a backend algorithm that estimates this based on the distance between the customer and the fulfillment center, inventory levels, and shipping methods available.

Data Science 52

Data Science Project Food Pharmaceutical 52

Edureka

APRIL 24, 2024

Generative AI models reshape the boundaries of creativity and functionality in technology, mimicking human-like inventive abilities with progressive tools and algorithms. trillion by 2032, it is essential to learn gen AI capabilities from creating an AI model to data augmentation.

Entertainment 40

Entertainment Healthcare Pharmaceutical Datasets 40

Snowflake

JANUARY 18, 2023

For population studies, anonymized data sets can link long-term health histories with treatment patterns and genomic variations, making it possible to analyze effective approaches for subpopulations. Life sciences organizations are continually sharing data—with collaborators, clinical partners, and pharmaceutical industry data services.

Pharmaceutical 84

Pharmaceutical AWS Java Healthcare 84

ProjectPro

DECEMBER 17, 2021

Additionally, solving a collection of take-home data science challenges is a good way of learning data science as it is relatively more engaging than other learning methods. So, continue reading this blog as we have prepared an exciting list of data science take-home challenges for you.

Data Science 52

Data Science Medical Machine Learning Datasets 52

Knowledge Hut

DECEMBER 27, 2023

Apache SAMOA (Scalable Advanced Massive Online Analysis) This open-source platform (used for big data stream mining and machine learning) helps users to create the distributed streaming machine learning (ML) algorithms plus run them on multiple distributed stream processing engines or DSPEs.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Databand.ai

DECEMBER 13, 2022

Follow Joseph on LinkedIn 2) Charles Mendelson Associate Data Engineer at PitchBook Data Charles is a skilled data engineer focused on telling stories with data and building tools to empower others to do the same, all in the pursuit of guiding a variety of audiences and stakeholders to make meaningful decisions.

Data Engineer 52

Data Engineer Data Engineering Engineering AWS 52

Knowledge Hut

JANUARY 11, 2024

I recommend checking out Data Science With Python course syllabus to start your data science journey. In this discussion, I will present some case studies to you that contain detailed and systematic data analysis of people, objects, or entities focusing on multiple factors present in the dataset.

Data Science 98

Data Science Transportation Banking Hospitality 98

ProjectPro

MAY 20, 2015

To address this problem, Trifacta uses Predictive Interaction technology for making data manipulation a visual experience by helping users easily and quickly identify features of interest. The products and services of Cloudera are changing the economics of big data analysis , BI, data processing and warehousing through Hadooponomics.

Big Data 40

Big Data Hadoop Business Analyst Data Analytics 40

U-Next

AUGUST 26, 2022

The top systems available today enable the whole analytical process, from access to data and preparation through Data Analysis and operationalization to outcomes tracking. Data Analytics Illustration. The London Olympics used this Data Analysis method a few years ago.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

Databand.ai

DECEMBER 20, 2022

Follow Cassie on LinkedIn 3) Julia Silge Software Engineer at Posit PBC Julia is a tool builder, author, international keynote speaker, and real-world practitioner focusing on data analysis, machine learning, and MLOps. Eric is active on GitHub and LinkedIn, where he posts about data analytics, data science, and Python.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52