Data Science Dojo

FEBRUARY 9, 2023

They may also work with databases and programming languages such as SQL and Python to manipulate and extract data. Key capabilities of Power BI Data Connectivity :It allows users to connect to various data sources including Excel, SQL Server, Azure SQL, and other cloud-based data sources.

Power BI 221

Power BI Data Analyst Data Visualization Data Analysis 221

Data Science Connect

JANUARY 27, 2023

Learn SQL: As a data engineer, you will be working with large amounts of data, and SQL is the most commonly used language for interacting with databases. Understanding how to write efficient and effective SQL queries is essential.

Data Engineering 130

Data Engineering Data Engineering Data Engineering Data Engineer 130

Data Science Blog

JUNE 30, 2023

DATANOMIQ Jobskills Webapp The whole web app is hosted and deployed on the Microsoft Azure Cloud via CI/CD and Infrastructure as Code (IaC). However, we collect these over time and will make trends secure, for example how the demand for Python, SQL or specific tools such as dbt or Power BI changes. Why we did it?

Data Engineering 130

Data Engineering Data Engineering Data Engineering Data Engineer 130

Mlearning.ai

APRIL 24, 2023

I just finished learning Azure’s service cloud platform using Coursera and the Microsoft Learning Path for Data Science. But, since I did not know Azure or AWS, I was trying to horribly re-code them by hand with python and pandas; knowing these services on the cloud platform could have saved me a lot of time, energy, and stress.

Azure 52

Azure SQL Database Python 52

Pickl AI

APRIL 6, 2023

Accordingly, one of the most demanding roles is that of Azure Data Engineer Jobs that you might be interested in. The following blog will help you know about the Azure Data Engineering Job Description, salary, and certification course. How to Become an Azure Data Engineer?

Azure 52

Azure Data Engineering Data Engineering Data Engineering 52

Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. This roadmap aims to guide aspiring Azure Data Scientists through the essential steps to build a successful career.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Pickl AI

NOVEMBER 18, 2024

Software like Microsoft Excel and SQL helps them manipulate and query data efficiently. Programming languages such as Python and R are essential for advanced analytics. Additionally, familiarity with Machine Learning frameworks and cloud-based platforms like AWS or Azure adds value to their expertise.

Data Analyst 110

Data Analyst SQL Python AWS 110

Pickl AI

NOVEMBER 4, 2024

Coming to APIs again, discover how to use ChatGPT APIs in Python by clicking on the link. Each database type requires its specific driver, which interprets the application’s SQL queries and translates them into a format the database can understand. INSERT : Add new records to a table. UPDATE : Modify existing records in a table.

Database 52

Database SQL ETL Azure 52

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.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

FEBRUARY 13, 2023

Top 3 Free Training Sessions Microsoft Azure: Machine Learning Essentials This series of videos from Microsoft covers the entire stack of machine learning essentials with Microsoft Azure. Topics include python fundamentals, SQL for data science, statistics for machine learning, and more.

Machine Learning 98

Machine Learning Machine Learning Deep Learning Deep Learning 98

Mlearning.ai

AUGUST 28, 2023

I recently took the Azure Data Scientist Associate certification exam DP-100, thankfully I passed after about 3–4 months for studying the Microsoft Data Science Learning Path and the Coursera Microsoft Azure Data Scientist Associate Specialization. Resources include the: Resource group, Azure ML studio, Azure Compute Cluster.

Azure 52

Azure ML ML Data Science 52

Smart Data Collective

APRIL 29, 2020

Redshift is the product for data warehousing, and Athena provides SQL data analytics. It has useful features, such as an in-browser SQL editor for queries and data analysis, various data connectors for easy data ingestion, and automated data prepossessing and ingestion. Dataform is a data transformation platform that is based on SQL.

Data Warehouse 98

Data Warehouse SQL Azure ETL 98

The MLOps Blog

MAY 10, 2023

How to save a trained model in Python? Saving trained model with pickle The pickle module can be used to serialize and deserialize the Python objects. For saving the ML models used as a pickle file, you need to use the Pickle module that already comes with the default Python installation. Now let’s see how we can save our model.

Python 105

Python ML ML Database 105

Towards AI

MARCH 7, 2024

Instead, we will leverage LangChain’s SQL Agent to generate complex database queries from human text. Use LangChain SQL Agents to ask questions by automatically creating SQL statements. We’ll work with Python and LangChain to read and analyze the PDF documents. I’m using Python 3.11.

SQL 59

SQL Database Python Azure 59

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. As such, you should begin by learning the basics of SQL.

Data Engineering 104

Data Engineering Data Engineering Data Engineering Data Engineer 104

ODSC - Open Data Science

FEBRUARY 2, 2023

While knowing Python, R, and SQL are expected, you’ll need to go beyond that. As you’ll see in the next section, data scientists will be expected to know at least one programming language, with Python, R, and SQL being the leaders. Employers aren’t just looking for people who can program.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

phData

JULY 2, 2024

Snowpark, offered by the Snowflake AI Data Cloud , consists of libraries and runtimes that enable secure deployment and processing of non-SQL code, such as Python, Java, and Scala. In this blog, we’ll cover the steps to get started, including: How to set up an existing Snowpark project on your local system using a Python IDE.

Python 52

Python SQL Data Pipeline ML 52

ODSC - Open Data Science

MARCH 30, 2023

Using Azure ML to Train a Serengeti Data Model, Fast Option Pricing with DL, and How To Connect a GPU to a Container Using Azure ML to Train a Serengeti Data Model for Animal Identification In this article, we will cover how you can train a model using Notebooks in Azure Machine Learning Studio. Register now for 40% off.

Azure 52

Azure ML ML Data Modeling 52

Pickl AI

DECEMBER 25, 2024

Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Programming languages like Python and R are commonly used for data manipulation, visualization, and statistical modeling. These tools enable professionals to turn raw data into digestible insights quickly.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

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.

AI 145

AI AI Azure AWS 145

Becoming Human

MAY 15, 2023

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. Python things like its Data Structures and their operations, Loops , Conditional Statements , Functional Programming , and Object Oriented Programming.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

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.

Data Science 346

Data Science Analytics Analytics Apache Hadoop 346

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 […].

Data Science 329

Data Science Analytics Analytics Hadoop 329

ODSC - Open Data Science

APRIL 18, 2023

Confirmed sessions include: An Introduction to Data Wrangling with SQL with Sheamus McGovern, Software Architect, Data Engineer, and AI expert Programming with Data: Python and Pandas with Daniel Gerlanc, Sr. Mini-Bootcamp and VIP Pass holders will have access to four live virtual sessions on data science fundamentals.

Data Science 98

Data Science Data Wrangling Machine Learning Machine Learning 98

Smart Data Collective

JUNE 4, 2021

Programming Language (R or Python). Programmers can start with either R or Python. it is overwhelming to learn data science concepts and a general-purpose language like python at the same time. Python can be added to the skill set later. Both R (ggplot2) and python (Matplotlib) have excellent graphing capabilities.

Data Science 133

Data Science Exploratory Data Analysis Machine Learning Machine Learning 133

ODSC - Open Data Science

FEBRUARY 17, 2023

NLP Programming Languages It shouldn’t be a surprise that Python has a strong lead as a programming language of choice for NLP. Many popular NLP frameworks, such as NLTK and spaCy, are Python-based, so it makes sense to be an expert in the accompanying language. Knowing some SQL is also essential.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

phData

AUGUST 29, 2023

Many tools can help teams migrate SQL code more efficiently, such as Liquibase, Flyway, and schemachange. In this blog, we will focus on schemachange, an open-source Python library that was based on Flyway but was created for Snowflake Data Cloud. How do you deploy your SQL code into Production? sql Always A__[description].sql

Azure 52

Azure SQL Database Python 52

Dataconomy

SEPTEMBER 15, 2024

A good SaaS developer should be comfortable working with popular languages such as: JavaScript Python Ruby Node.js A good developer should be able to manage databases either in SQL form, like MySQL and PostgreSQL or in NoSQL form, like MongoDB. Starting with programming languages, of course.

Database 103

Database Azure SQL Python 103

ODSC - Open Data Science

APRIL 3, 2023

The Modern Data Stack: Apache Spark, Google Bigquery, Oracle Database, Microsoft SQL Server, Snowflake The modern data stack continues to have a big impact, and data analytics roles are no exception. Cloud Services: Google Cloud Platform, AWS, Azure.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

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.

AI 52

AI AI Machine Learning Machine Learning 52

phData

JUNE 25, 2024

sliders and inputs) and support for multiple languages (SQL, Python). Within the notebook cells, users can immediately run a SQL cell and access data authorized by that role or create a Snowpark session with the same privileges. This makes notebooks great for quick ad-hoc analyses and rapid development.

Data Scientist 52

Data Scientist ML ML Data Science 52

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. Familiarity with libraries like pandas, NumPy, and SQL for data handling is important.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

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. Cloud Platforms: AWS, Azure, Google Cloud, etc. ETL Tools: Apache NiFi, Talend, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

phData

SEPTEMBER 2, 2024

Matillion is a SaaS-based data integration platform that can be hosted in AWS, Azure, or GCP. It can connect to multiple data warehouses, including the Snowflake AI Data Cloud , Delta Lake on Databricks, Amazon Redshift, Google BigQuery, and Azure Synapse Analytics. Schedules cannot be edited or executed.

ETL 52

ETL Data Warehouse SQL Database 52

ODSC - Open Data Science

DECEMBER 5, 2023

We had bigger sessions on getting started with machine learning or SQL, up to advanced topics in NLP, and of course, plenty related to large language models and generative AI. You can see our photos from the event here , and be sure to follow our YouTube for virtual highlights from the conference as well.

Data Science 98

Data Science Artificial Intelligence Artificial Intelligence Machine Learning 98

phData

JANUARY 31, 2024

Python has long been the favorite programming language of data scientists. Historically, Python was only supported via a connector, so making predictions on our energy data using an algorithm created in Python would require moving data out of our Snowflake environment.

Machine Learning 52

Machine Learning Machine Learning Python Data Scientist 52

The MLOps Blog

OCTOBER 20, 2023

Example template for an exploratory notebook | Source: Author How to organize code in Jupyter notebook For exploratory tasks, the code to produce SQL queries, pandas data wrangling, or create plots is not important for readers. If a reviewer wants more detail, they can always look at the Python module directly. Redshift).

SQL 52

SQL Database Data Scientist Python 52