Data Science Dojo

JULY 3, 2024

They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization. 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.

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Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon.

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Mlearning.ai

JANUARY 28, 2023

From Sale Marketing Business 7 Powerful Python ML For Data Science And Machine Learning need to be use. This post will outline seven powerful python ml libraries that can help you in data science and different python ml environment. A python ml library is a collection of functions and data that can use to solve problems.

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O'Reilly Media

SEPTEMBER 15, 2021

Cloud certifications, specifically in AWS and Microsoft Azure, were most strongly associated with salary increases. As we’ll see later, cloud certifications (specifically in AWS and Microsoft Azure) were the most popular and appeared to have the largest effect on salaries. Many respondents acquired certifications. What about Kafka?

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Analytics Vidhya

JANUARY 8, 2023

Hey, are you the data science geek who spends hours coding, learning a new language, or just exploring new avenues of data science? If all of these describe you, then this Blogathon announcement is for you! Analytics Vidhya is back with its 28th Edition of blogathon, a place where you can share your knowledge about […].

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O'Reilly Media

MAY 15, 2025

5:34 : You work with the folks at Azure, so presumably you know what actual enterprises are doing with generative AI. We all depend on Python and Python libraries. People built on a fork of a Python project or top of Python libraries and [became] profitable. We have DeepSeek R1 available on Azure.

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Smart Data Collective

NOVEMBER 8, 2020

Data engineering primarily revolves around two coding languages, Python and Scala. You should learn how to write Python scripts and create software. As such, you should find good learning courses to understand the basics or advance your knowledge of Python. Getting and organizing such data is called data processing.

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ODSC - Open Data Science

MAY 31, 2023

Commonly used technologies for data storage are the Hadoop Distributed File System (HDFS), Amazon S3, Google Cloud Storage (GCS), or Azure Blob Storage, as well as tools like Apache Hive, Apache Spark, and TensorFlow for data processing and analytics.

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Pickl AI

JANUARY 13, 2025

Key Skills Proficiency in programming languages like Python and R. Proficiency in programming languages like Python and SQL. Proficiency in programming languages like Python or Java. Key Skills Experience with cloud platforms (AWS, Azure). Key Skills Proficiency in programming languages such as C++ or Python.

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ODSC - Open Data Science

JUNE 7, 2023

Microsoft’s Azure Data Lake The Azure Data Lake is considered to be a top-tier service in the data storage market. Amazon Web Services Similar to Azure, Amazon Simple Storage Service is an object storage service offering scalability, data availability, security, and performance. Delta & Databricks Make This A Reality!

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Pickl AI

JULY 25, 2023

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. Big Data Technologies: Hadoop, Spark, etc. Cloud Platforms: AWS, Azure, Google Cloud, etc.

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Pickl AI

NOVEMBER 4, 2024

Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage. Apache Hadoop Hadoop is a powerful framework that enables distributed storage and processing of large data sets across clusters of computers.

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Mlearning.ai

MAY 23, 2023

Mathematics for Machine Learning and Data Science Specialization Proficiency in Programming Data scientists need to be skilled in programming languages commonly used in data science, such as Python or R. Check out this course to upskill on Apache Spark —  [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus.

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Pickl AI

NOVEMBER 28, 2024

Key programming languages include Python and R, while mathematical concepts like linear algebra and calculus are crucial for model optimisation. Key Takeaways Strong programming skills in Python and R are vital for Machine Learning Engineers. According to Emergen Research, the global Python market is set to reach USD 100.6

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Mlearning.ai

MARCH 15, 2023

Technical requirements for a Data Scientist High expertise in programming either in R or Python, or both. Experience with cloud platforms like; AWS, AZURE, etc. Knowledge of big data platforms like; Hadoop and Apache Spark. Basic programming knowledge in R or Python.

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Pickl AI

JUNE 7, 2024

Key Features Out-of-the-Box Connectors: Includes connectors for databases like Hadoop, CRM systems, XML, JSON, and more. Hadoop Hadoop is an open-source framework designed for processing and storing big data across clusters of computer servers. Read Further: Azure Data Engineer Jobs. How to drop a database in SQL server?

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Pickl AI

DECEMBER 4, 2024

Focus on Python and R for Data Analysis, along with SQL for database management. Gain Experience with Big Data Technologies With the rise of Big Data, familiarity with technologies like Hadoop and Spark is essential. AWS or Azure) will be increasingly important as more organisations migrate their operations online.

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ODSC - Open Data Science

JANUARY 7, 2025

While knowing Python, R, and SQL is expected, youll need to go beyond that. Programming Languages Python clearly leads the pact for data science programming languages, but in a change from last year, R isnt too far behind, with much more demand this year than last. Employers arent just looking for people who can program.

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Pickl AI

APRIL 2, 2024

Tools and Technologies Python/R: Popular programming languages for data analysis and machine learning. Hadoop/Spark: Frameworks for distributed storage and processing of big data. Hadoop/Spark: Frameworks for distributed storage and processing of big data.

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DagsHub

OCTOBER 23, 2024

Popular data lake solutions include Amazon S3 , Azure Data Lake , and Hadoop. Apache Hadoop Apache Hadoop is an open-source framework that supports the distributed processing of large datasets across clusters of computers. The tool offers a web UI as well as Python and TypeScript SDKs for developers.

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The MLOps Blog

JANUARY 23, 2023

It supports most major cloud providers, such as AWS, GCP, and Azure. More useful resources about DVC: Versioning data and models Data version control with Python and DVC DVCorg YouTube DVC data version control cheatsheet At this point, one question arises; why use DVC instead of Git?

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The MLOps Blog

MAY 31, 2023

To store Image data, Cloud storage like Amazon S3 and GCP buckets, Azure Blob Storage are some of the best options, whereas one might want to utilize Hadoop + Hive or BigQuery to store clickstream and other forms of text and tabular data. JupyterLabs has been one of the most popular interactive tools for ML development with Python.

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Pickl AI

FEBRUARY 23, 2025

Best Big Data Tools Popular tools such as Apache Hadoop, Apache Spark, Apache Kafka, and Apache Storm enable businesses to store, process, and analyse data efficiently. Key Features : Scalability : Hadoop can handle petabytes of data by adding more nodes to the cluster. Use Cases : Yahoo!

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How to Learn Machine Learning

MAY 3, 2025

All the clouds are different, and for us GCP offers some cool benefits that we will highlight in this article vs the AWS AI Services or Azure Machine Learning. Dataproc Process large datasets with Spark and Hadoop before feeding them into your ML pipeline. Deep Learning with Python by Francois Chollet.

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Pickl AI

MARCH 19, 2025

Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Python, SQL, and Apache Spark are essential for data engineering workflows. Python Python is one of the most popular programming languages for data engineering. Start your journey with Pickl.AI

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