Data Analysis, Hadoop and Power BI - Data Science Current

Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Data Science Dojo

OCTOBER 31, 2024

For instance, Berkeley’s Division of Data Science and Information points out that entry level data science jobs remote in healthcare involves skills in NLP (Natural Language Processing) for patient and genomic data analysis, whereas remote data science jobs in finance leans more on skills in risk modeling and quantitative analysis.

Data Science

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Tableau vs Power BI: Which is The Better Business Intelligence Tool in 2024?

Pickl AI

NOVEMBER 5, 2024

Summary: Data Visualisation is crucial to ensure effective representation of insights tableau vs power bi are two popular tools for this. This article compares Tableau and Power BI, examining their features, pricing, and suitability for different organisations. What is Power BI? billion in 2023.

Power BI

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Data Science Career Paths: Analyst, Scientist, Engineer – What’s Right for You?

How to Learn Machine Learning

APRIL 26, 2025

Data Storage and Management Once data have been collected from the sources, they must be secured and made accessible. The responsibilities of this phase can be handled with traditional databases (MySQL, PostgreSQL), cloud storage (AWS S3, Google Cloud Storage), and big data frameworks (Hadoop, Apache Spark).

Data Science

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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What is Data-driven vs AI-driven Practices?

Pickl AI

JANUARY 12, 2025

Introduction Are you struggling to decide between data-driven practices and AI-driven strategies for your business? Besides, there is a balance between the precision of traditional data analysis and the innovative potential of explainable artificial intelligence.

Artificial Intelligence

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Best Data Engineering Tools Every Engineer Should Know

Pickl AI

MARCH 19, 2025

Amazon Athena Amazon Athena is a serverless query service that enables users to analyse data stored in Amazon S3 using standard SQL. It eliminates the need for complex database management, making data analysis more accessible. It helps streamline data processing tasks and ensures reliable execution.

Data Engineering

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A Guide to Choose the Best Data Science Bootcamp

Data Science Dojo

JULY 3, 2024

Here’s a list of key skills that are typically covered in a good data science bootcamp: Programming Languages : Python : Widely used for its simplicity and extensive libraries for data analysis and machine learning. R : Often used for statistical analysis and data visualization.

Data Science

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Data science vs data analytics: Unpacking the differences

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science

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A Comprehensive Guide to the main components of Big Data

Pickl AI

DECEMBER 2, 2024

Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets. Processing frameworks like Hadoop enable efficient data analysis across clusters. It is known for its high fault tolerance and scalability.

Big Data

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The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

Pickl AI

JULY 25, 2023

They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently.

Data Engineering

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A Comprehensive Guide to the Main Components of Big Data

Pickl AI

NOVEMBER 25, 2024

Key Takeaways Big Data originates from diverse sources, including IoT and social media. Data lakes and cloud storage provide scalable solutions for large datasets. Processing frameworks like Hadoop enable efficient data analysis across clusters. It is known for its high fault tolerance and scalability.

Big Data

Big Data Big Data Data Lakes Apache Hadoop

Predicting the Future of Data Science

Pickl AI

DECEMBER 4, 2024

Augmented Analytics Augmented analytics is revolutionising the way businesses analyse data by integrating Artificial Intelligence (AI) and Machine Learning (ML) into analytics processes. Understand data structures and explore data warehousing concepts to efficiently manage and retrieve large datasets.

Data Science

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Data Scientist Salary in India’s Top Tech Cities

Pickl AI

APRIL 28, 2023

Here is the tabular representation of the same: Technical Skills Non-technical Skills Programming Languages: Python, SQL, R Good written and oral communication Data Analysis: Pandas, Matplotlib, Numpy, Seaborn Ability to work in a team ML Algorithms: Regression Classification, Decision Trees, Regression Analysis Problem-solving capability Big Data: (..)

Data Scientist

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Understanding Business Intelligence Architecture: Key Components

Pickl AI

JANUARY 28, 2025

Schemas: Common models include star schemas and snowflake schemas that help in organizing data for efficient retrieval. Effective data modeling enhances the usability of the BI system by making it easier to navigate through complex datasets. What Are Some Common Tools Used in Business Intelligence Architecture?

Business Intelligence

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Data Science Cheat Sheet for Business Leaders

Pickl AI

APRIL 2, 2024

Tools and Technologies Python/R: Popular programming languages for data analysis and machine learning. Tableau/Power BI: Visualization tools for creating interactive and informative data visualizations. Hadoop/Spark: Frameworks for distributed storage and processing of big data.

Data Science

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Data Science Current

Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Tableau vs Power BI: Which is The Better Business Intelligence Tool in 2024?

Webinars

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Data Science Career Paths: Analyst, Scientist, Engineer – What’s Right for You?

Webinars

What is Data-driven vs AI-driven Practices?

Best Data Engineering Tools Every Engineer Should Know

A Guide to Choose the Best Data Science Bootcamp

Data science vs data analytics: Unpacking the differences

A Comprehensive Guide to the main components of Big Data

The Data Dilemma: Exploring the Key Differences Between Data Science and Data Engineering

A Comprehensive Guide to the Main Components of Big Data

Predicting the Future of Data Science

Data Scientist Salary in India’s Top Tech Cities

Understanding Business Intelligence Architecture: Key Components

Data Science Cheat Sheet for Business Leaders

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