Data Science Dojo

JULY 3, 2024

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

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

ODSC - Open Data Science

JANUARY 18, 2024

Data engineering is a rapidly growing field, and there is a high demand for skilled data engineers. If you are a data scientist, you may be wondering if you can transition into data engineering. In this blog post, we will discuss how you can become a data engineer if you are a data scientist.

Data Engineering 52

Data Engineering Data Engineering Data Engineer Data Engineering 52

Pickl AI

SEPTEMBER 19, 2024

Summary: The CASE statement in SQL provides conditional logic within queries, enabling flexible data manipulation. Proper usage and optimisation enhance query performance and adaptability, making it a crucial tool for effective SQL data management. What is a CASE Statement in SQL? ELSE : An optional clause.

SQL 52

SQL Database Data Analyst Data Analysis 52

Data Science Blog

NOVEMBER 15, 2023

Simple Data Model for a Process Mining Event Log As part of data engineering, the data traces that indicate process activities are brought into a log-like schema. A simple event log is therefore a simple table with the minimum requirement of a process number (case ID), a time stamp and an activity description.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Pickl AI

DECEMBER 25, 2024

Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Techniques such as data cleansing, aggregation, and trend analysis play a critical role in ensuring data quality and relevance. Data Scientists rely on technical proficiency.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Smart Data Collective

OCTOBER 14, 2019

Whether they want a career as an app developer or data analyst, the skillsets below can help them find lucrative careers in a competitive job market. Big Data Skillsets. From artificial intelligence and machine learning to blockchains and data analytics, big data is everywhere. NoSQL and SQL.

Big Data 99

Big Data Big Data Apache Hadoop Hadoop 99

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

Snorkel AI

MAY 26, 2023

[link] Ahmad Khan, head of artificial intelligence and machine learning strategy at Snowflake gave a presentation entitled “Scalable SQL + Python ML Pipelines in the Cloud” about his company’s Snowpark service at Snorkel AI’s Future of Data-Centric AI virtual conference in August 2022. Welcome everybody.

SQL 52

SQL ML ML Python 52

ODSC - Open Data Science

FEBRUARY 2, 2023

Computer Science and Computer Engineering Similar to knowing statistics and math, a data scientist should know the fundamentals of computer science as well. While knowing Python, R, and SQL are expected, you’ll need to go beyond that. Big Data As datasets become larger and more complex, knowing how to work with them will be key.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

ODSC - Open Data Science

MARCH 13, 2023

First, there’s a need for preparing the data, aka data engineering basics. Machine learning practitioners are often working with data at the beginning and during the full stack of things, so they see a lot of workflow/pipeline development, data wrangling, and data preparation.

Machine Learning 94

Machine Learning Machine Learning Data Wrangling Data Science 94

ODSC - Open Data Science

MARCH 6, 2023

Big data analytics is evergreen, and as more companies use big data it only makes sense that practitioners are interested in analyzing data in-house. Lastly, data engineering is popular as the engineering side of AI is needed to make the most out of data, such as collection, cleaning, extracting, and so on.

Machine Learning 116

Machine Learning Machine Learning Data Science Deep Learning 116

Dataconomy

JUNE 1, 2023

Unified data storage : Fabric’s centralized data lake, Microsoft OneLake, eliminates data silos and provides a unified storage system, simplifying data access and retrieval.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

AWS Machine Learning Blog

AUGUST 12, 2024

As the scale and complexity of data handled by organizations increase, traditional rules-based approaches to analyzing the data alone are no longer viable. Data is presented to the personas that need access using a unified interface. To facilitate this, an automated data engineering pipeline is built using AWS Step Functions.

ML 116

ML ML AWS AI 116

Applied Data Science

AUGUST 2, 2021

Team Building the right data science team is complex. With a range of role types available, how do you find the perfect balance of Data Scientists , Data Engineers and Data Analysts to include in your team? The Data Engineer Not everyone working on a data science project is a data scientist.

Data Science 130

Data Science Data Scientist ML ML 130

ODSC - Open Data Science

APRIL 14, 2023

Like many other career fields, data science and all of the sub-fields such as artificial intelligence, responsible AI, data engineering, and others aren’t immune to the dynamic nature of emerging technology, trends, and other variables both outside and within the world of data.

Data Science 98

Data Science AI AI Data Engineering 98

AWS Machine Learning Blog

FEBRUARY 21, 2025

Data exploration and model development were conducted using well-known machine learning (ML) tools such as Jupyter or Apache Zeppelin notebooks. Apache Hive was used to provide a tabular interface to data stored in HDFS, and to integrate with Apache Spark SQL. HBase is employed to offer real-time key-based access to data.

Data Science 71

Data Science AWS Hadoop Data Scientist 71

Analytics Vidhya

DECEMBER 12, 2022

Data science is one of India’s rapidly growing and in-demand industries, with far-reaching applications in almost every domain. Not just the leading technology giants in India but medium and small-scale companies are also betting on data science to revolutionize how business operations are performed.

Analytics 342

Analytics Analytics Data Science Data Visualization 342

phData

JULY 4, 2024

Coalesce is a fantastic transformation tool built specifically to run on Snowflake AI Data Cloud. Because it runs Snowflake SQL from an easy-to-use, code-first GUI interface, it can take advantage of everything Snowflake offers, even if the feature is brand new.

SQL 52

SQL Data Pipeline Data Engineering Data Engineering 52

ODSC - Open Data Science

FEBRUARY 15, 2023

Warmup sessions include Data Primer Course — March 2, 2023 SQL Primer Course — March 14, 2023 Programming Primer Course with Python — April 6, 2023 AI Primer Course — April 26, 2023 Bootcamp Orientation In March and April, we will be offering virtual orientation sessions.

Data Science 90

Data Science Machine Learning Machine Learning SQL 90

ODSC - Open Data Science

DECEMBER 5, 2024

Navigating the Complex World of Financial Data Engineering Here’s an exploration of a recent podcast, which provides a roadmap for understanding the challenges, opportunities, and future of financial data engineering.

Data Engineering 40

Data Engineering Data Engineering Data Engineer Data Engineering 40

Analytics Vidhya

MARCH 10, 2023

Introduction DataHour sessions are an excellent opportunity for aspiring individuals looking to launch a career in the data-tech industry, including students and freshers.

Data Science 306

Data Science Analytics Analytics SQL 306

ODSC - Open Data Science

FEBRUARY 17, 2023

Cloud Computing, APIs, and Data Engineering NLP experts don’t go straight into conducting sentiment analysis on their personal laptops. Data Engineering Platforms Spark is still the leader for data pipelines but other platforms are gaining ground. Knowing some SQL is also essential.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

IBM Journey to AI blog

JUNE 8, 2023

Data is the lifeblood of successful organizations. Beyond the traditional data roles—data engineers, analysts, architects—decision-makers across an organization need flexible, self-service access to data-driven insights accelerated by artificial intelligence (AI).

Business Intelligence 78

Business Intelligence Business Intelligence AI AI 78

ODSC - Open Data Science

SEPTEMBER 5, 2023

With hundreds of hours of instruction on a wide variety of essential topics, including LLMs, machine learning, MLOps, generative AI, NLP, data engineering, data visualization, data management, Python, R, SQL, scikit-learn, and much, much more.

Data Science 97

Data Science Data Scientist Data Engineering Data Engineer 97

IBM Journey to AI blog

OCTOBER 14, 2024

. “ Gen AI has elevated the importance of unstructured data, namely documents, for RAG as well as LLM fine-tuning and traditional analytics for machine learning, business intelligence and data engineering,” says Edward Calvesbert, Vice President of Product Management at IBM watsonx and one of IBM’s resident data experts.

AI 78

AI AI Database Data Engineering 78

Pickl AI

JANUARY 13, 2025

Essential skills for these roles encompass programming, machine learning knowledge, data management, and soft skills like communication and problem-solving. Introduction The field of Artificial Intelligence (AI) is rapidly evolving, and with it, the job market in India is witnessing a seismic shift. million by 2027.

AI 52

AI AI Machine Learning Machine Learning 52

IBM Journey to AI blog

MAY 15, 2024

There are several styles of data integration. Data engineers build data pipelines, which are called data integration tasks or jobs, as incremental steps to perform data operations and orchestrate these data pipelines in an overall workflow.

Data Pipeline 85

Data Pipeline ETL SQL Database 85

AWS Machine Learning Blog

SEPTEMBER 18, 2024

The ZMP analyzes billions of structured and unstructured data points to predict consumer intent by using sophisticated artificial intelligence (AI) to personalize experiences at scale. Additionally, Feast promotes feature reuse, so the time spent on data preparation is reduced greatly.

AWS 117

AWS Machine Learning Machine Learning ML 117

ODSC - Open Data Science

APRIL 18, 2023

Mini-Bootcamp and VIP Pass holders will have access to four live virtual sessions on data science fundamentals. 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.

Data Science 98

Data Science Data Wrangling Machine Learning Machine Learning 98

Precisely

AUGUST 15, 2024

Create an AI-driven data and process improvement loop to continuously enhance your business operations. Key Players in AI Development Enterprises increasingly rely on AI to automate and enhance their data engineering workflows, making data more ready for building, training, and deploying AI applications.

AI 64

AI AI Data Quality Data Engineering 64

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 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

AUGUST 15, 2023

Coding Skills for Data Analytics Coding is an essential skill for Data Analysts, as it enables them to manipulate, clean, and analyze data efficiently. Programming languages such as Python, R, SQL, and others are widely used in Data Analytics. Ideal for academic and research-oriented Data Analysis.

Analytics 52

Analytics Analytics Data Analyst Data Analysis 52

ODSC - Open Data Science

MARCH 30, 2023

5 Reasons Why SQL is Still the Most Accessible Language for New Data Scientists Between its ability to perform data analysis and ease-of-use, here are 5 reasons why SQL is still ideal for new data scientists to get into the field. Check a few of them out here.

Azure 52

Azure ML ML Data Modeling 52

AWS Machine Learning Blog

JUNE 17, 2024

Being one of the largest AWS customers, Twilio engages with data and artificial intelligence and machine learning (AI/ML) services to run their daily workloads. Twilio needed to implement an MLOps pipeline that queried data from PrestoDB. For more information on processing jobs, see Process data.

ML 120

ML ML AWS Machine Learning 120

ODSC - Open Data Science

SEPTEMBER 25, 2023

Tapping into these schemas and pulling out machine learning-ready features can be nontrivial as one needs to know where the data entity of interest lives (e.g., customers), what its relations are, and how they’re connected, and then write SQL, python, or other to join and aggregate to a granularity of interest.

Data Preparation 104

Data Preparation Machine Learning Machine Learning ML 104

ODSC - Open Data Science

APRIL 3, 2023

While a data analyst isn’t expected to know more nuanced skills like deep learning or NLP, a data analyst should know basic data science, machine learning algorithms, automation, and data mining as additional techniques to help further analytics. Cloud Services: Google Cloud Platform, AWS, Azure.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

phData

JULY 24, 2024

In the past, nothing other than a gut feeling or anecdotal data could tell you if a marketing campaign was even worth the money. With that data, we can use artificial intelligence (AI) to determine whether or not the campaign was worth it. Why phData? So, why choose phData?

Machine Learning 52

Machine Learning Machine Learning Data Engineering Data Engineering 52