Flipboard

FEBRUARY 12, 2025

The company's Cortex Agents can identify fiscal year start dates, explain internal naming conventions and prioritize key tables during SQL generation.

SQL 153

SQL AI AI Computer Science 153

Hacker News

DECEMBER 20, 2023

ABOUT THE JOB - Develop in Dart using Flutter to build a cross-platform App that deploys to Mac, iOS, Android, Windows and Web - Build and maintain a caching system that can support over 5 gigs of local data - Design state of the art visualizations that feature advanced concepts such as recursive programming, global information systems, and probability (..)

Computer Science 141

Computer Science Computer Science SQL Machine Learning 141

Pickl AI

JULY 18, 2023

With technological developments occurring rapidly within the world, Computer Science and Data Science are increasingly becoming the most demanding career choices. Moreover, with the oozing opportunities in Data Science job roles, transitioning your career from Computer Science to Data Science can be quite interesting.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

ODSC - Open Data Science

FEBRUARY 2, 2023

Just as a writer needs to know core skills like sentence structure, grammar, and so on, data scientists at all levels should know core data science skills like programming, computer science, algorithms, and so on. While knowing Python, R, and SQL are expected, you’ll need to go beyond that.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Flipboard

JUNE 10, 2023

When we say “database” today we are probably talking about persistent storage, relational tables, and SQL. Rows and Columns, and all that stuff.

Database 123

Database SQL Computer Science Computer Science 123

Dataconomy

JULY 24, 2023

To put it another way, a data scientist turns raw data into meaningful information using various techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. Machine learning Machine learning is a key part of data science.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Flipboard

JUNE 22, 2023

Known for its low-code SQL tooling, the California-based company today announced data copilot, a generative AI assistant that can create trusted data pipelines from natural language prompts and improve pipeline quality … Data engineering startup Prophecy is giving a new turn to data pipeline creation.

Data Pipeline 123

Data Pipeline SQL Data Engineering Data Engineering 123

Smart Data Collective

APRIL 14, 2020

Data showed that Data Science and Analysis, comprising 21% of data scientists, is the degree that’s most likely to get you into data science in 2020, followed by the previous leader Computer Science (18.3%) and the traditional Statistics &Mathematics (16.3%). Coding Languages. Conclusion.

Data Scientist 115

Data Scientist Data Science SQL Python 115

Hacker News

JULY 17, 2023

Undergraduate Fuchun Wang created a great set of blocks explicitly designed to look like SQL for manipulating CSV files. I had promised our advisors that we would not require LSA students to install anything on their computers in the intro courses. We used these blocks to talk about queries and database design in the class.

Database 122

Database Computer Science Computer Science Algorithm 122

Smart Data Collective

NOVEMBER 8, 2020

As such, you should begin by learning the basics of SQL. SQL is an established language used widely in data engineering. Just like programming, SQL has multiple dialects. Besides SQL, you should also learn how to model data. As a data engineer, you will be primarily working on databases. and globally.

Data Engineering 104

Data Engineering Data Engineering Data Engineer Data Engineering 104

Data Science 101

MAY 6, 2019

I think in physics one of the things that attracted me most to the field that I studied, which was particle physics, was the ability to leverage computer science mathematical modeling and data visualization to solve big questions. He asks, “How important is SQL in comparison to Python in 2019?”. However, you have to know SQL.

Data Wrangling 98

Data Wrangling Data Scientist SQL Data Science 98

Pickl AI

DECEMBER 25, 2024

Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Data Science is an interdisciplinary field that focuses on extracting knowledge and insights from structured and unstructured data. In contrast, Data Science demands a stronger technical foundation.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Data Science Dojo

JULY 3, 2024

Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB. Data Processing and Analysis : Techniques for data cleaning, manipulation, and analysis using libraries such as Pandas and Numpy in Python.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

MARCH 8, 2023

california_housing.columns[-1]: create_table_sql = create_table_sql + ",n" else: create_table_sql = create_table_sql + ")" # execute the SQL statement to create the table print(f"create_table_sql={create_table_sql}") conn.cursor().execute(create_table_sql) She has a Masters in Computer Science from Rochester Institute of Technology.

ML 131

ML ML AWS Python 131

Smart Data Collective

OCTOBER 11, 2021

Some employers will specifically look for candidates to have a four-year degree in computer science, data science, software engineering, or a related field. It’s not strictly necessary to have a bachelor’s degree to begin working in data engineering, but it certainly helps.

Data Engineering 132

Data Engineering Data Engineering Data Engineer Data Engineering 132

ODSC - Open Data Science

FEBRUARY 17, 2023

Data Science Fundamentals Going beyond knowing machine learning as a core skill, knowing programming and computer science basics will show that you have a solid foundation in the field. Computer science, math, statistics, programming, and software development are all skills required in NLP projects.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

Hacker News

DECEMBER 19, 2024

Glean can provide this language-neutral view of the data by defining an abstraction layer in the schema itself the mechanism is similar to SQL views if youre familiar with those. A FunctionDeclaration is a predicate (roughly equivalent to a table in SQL). The braces surround a record definition, with a set of fields and their types.

SQL 163

SQL Database Computer Science Computer Science 163

Smart Data Collective

MARCH 27, 2023

Proficiency in various programming languages, such as Python, R, and SQL, empowers individuals to efficiently manipulate and visualize data, thus enhancing the decision-making process for businesses. Equally important is the ability to communicate effectively, presenting data-driven solutions to stakeholders in a clear and concise manner.

Data Analyst 119

Data Analyst Data Science Data Scientist Natural Language Processing 119

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. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Flipboard

AUGUST 17, 2023

Amazon Redshift uses SQL to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes, using AWS-designed hardware and ML to deliver the best price-performance at any scale. You can use query_string to filter your dataset by SQL and unload it to Amazon S3.

ML 123

ML ML AWS Data Warehouse 123

Pickl AI

MARCH 3, 2025

Key skills include SQL, data visualization, and business acumen. Essential skills include SQL, data visualization, and strong analytical abilities. Technical Skill Development Master SQL for database querying and manipulation. SQL is essential, and Python or R are valuable for advanced Data Analysis and automation.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Data Science 101

OCTOBER 12, 2023

I mostly use U-SQL, a mix between C# and SQL that can distribute in very large clusters. I think of Computer Science as a tool. In my case, I studied Financial Economics after finishing computer science, in particular financial fraud, so it was easy for me to see opportunities to apply CS to something I loved.

Azure 64

Azure Computer Science Computer Science Clustering 64

Pickl AI

FEBRUARY 28, 2023

Significantly, Data Science experts have a strong foundation in mathematics, statistics, and computer science. Effectively, Data Analysts use other tools like SQL, R or Python, Excel, etc., Accordingly, having technical subjects like Mathematics or Computer Science might be advantageous.

Data Analyst 52

Data Analyst Data Scientist Data Science Computer Science 52

Dataversity

DECEMBER 14, 2022

Data analysts are specialists in statistics, mathematics, and computer science, enabling them to serve in a variety of departments, including operations analysis, financial analysis, and marketing analysis.

Data Analyst 52

Data Analyst Computer Science Computer Science Predictive Analytics 52

Mlearning.ai

MAY 23, 2023

Familiarity with libraries like pandas, NumPy, and SQL for data handling is important. This includes skills in data cleaning, preprocessing, transformation, and exploratory data analysis (EDA). However, many data scientists also hold advanced degrees such as a Master’s or Ph.D. in these fields.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

AWS Machine Learning Blog

SEPTEMBER 19, 2023

Technical challenges with multi-modal data further include the complexity of integrating and modeling different data types, the difficulty of combining data from multiple modalities (text, images, audio, video), and the need for advanced computer science skills and sophisticated analysis tools. WWW: $85.91 DDD: $9.82

AWS 130

AWS AI AI ML 130

AWS Machine Learning Blog

NOVEMBER 1, 2024

These tasks include summarization, classification, information retrieval, open-book Q&A, and custom language generation such as SQL. Fang Liu holds a master’s degree in computer science from Tsinghua University. Yanjun Qi is a Senior Applied Science Manager at the Amazon Bedrock Science.

Data Preparation 97

Data Preparation Machine Learning Machine Learning ML 97

Data Science Dojo

AUGUST 18, 2023

LlamaIndex can be used to connect LLMs to a variety of data sources, including APIs, PDFs, documents, and SQL databases. Natural Language Processing (NLP) Natural Language Processing (NLP) is a field of computer science that deals with the interaction between computers and human (natural) languages.

Natural Language Processing 195

Natural Language Processing Database AI AI 195

Mlearning.ai

APRIL 24, 2023

Learning about the framework of a service cloud platform is time consuming and frustrating because there is a lot of new information from many different computing fields (computer science/database, software engineering/developers, data science/scientific engineering & computing/research). Data Factory 2.

Azure 52

Azure SQL Database Python 52

Dataconomy

JULY 25, 2023

Data science can be understood as a multidisciplinary approach to extracting knowledge and actionable insights from structured and unstructured data. It combines techniques from mathematics, statistics, computer science, and domain expertise to analyze data, draw conclusions, and forecast future trends.

Data Science 91

Data Science Data Scientist Machine Learning Machine Learning 91

Dataconomy

SEPTEMBER 27, 2024

My journey began at NUST MISiS, where I studied Computer Science and Engineering. I studied hard and was a very active student, which made me eligible for an exchange program at Häme University of Applied Sciences (HAMK) in Finland. Your journey from a university student to a Product Analytics Team Lead is inspiring.

Analytics 113

Analytics Analytics Big Data Big Data 113

Dataconomy

OCTOBER 17, 2023

Exploitation Once potential vulnerabilities are identified, the white hat hacker attempts to exploit them using various techniques, such as privilege escalation, SQL injection, cross-site scripting (XSS), or other attack vectors. She discovers SQL injection, cross-site scripting (XSS), and cross-site request forgery (CSRF) weaknesses.

SQL 113

SQL Computer Science Computer Science AWS 113

Dataconomy

AUGUST 16, 2023

Utilizes tools like SQL and Excel for data manipulation and report creation. Suppose you have a bachelor’s degree in a related field, such as computer science, mathematics, or statistics. In that case, you can become a data scientist in about 2 years by completing a master’s degree in data science or a related field.

Data Scientist 172

Data Scientist Data Science Machine Learning Machine Learning 172

Pickl AI

JANUARY 22, 2025

Importance of Programming Languages Programming languages are foundational to computer science and technology, enabling the creation of software that powers modern society. It facilitates innovation, problem-solving, and efficient communication with computers. SQL SQL specialises in querying relational databases efficiently.

Python 52

Python Data Science SQL Cloud Computing 52

Pickl AI

JUNE 21, 2023

Gain knowledge in data manipulation and analysis: Familiarize yourself with data manipulation techniques using tools like SQL for database querying and data extraction. FAQs Is Data Science good for a non-technical background? As a Data Scientist, you need a strong background in Mathematics and Computer Science.

Data Scientist 52

Data Scientist Data Science Computer Science Computer Science 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

IBM Journey to AI blog

JULY 6, 2023

That’s where data science comes in. The term data science was first used in the 1960s when it was interchangeable with the phrase “computer science.” ” “Data science” was first used as an independent discipline in 2001.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70