Mlearning.ai

JUNE 8, 2023

Understanding the Power of SQL Joins to Unleash the Full Potential of Your Data Continue reading on MLearning.ai »

SQL 52

SQL Data Analyst Data Analysis Data Analysis 52

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

Mlearning.ai

APRIL 10, 2023

Enhance your data analysis skills by uncovering these powerful SQL tricks and applying them to real-world scenarios Continue reading on MLearning.ai »

SQL 52

SQL Data Analyst Data Analysis Data Analysis 52

ODSC - Open Data Science

FEBRUARY 24, 2023

Its goal is to help with a quick analysis of target characteristics, training vs testing data, and other such data characterization tasks. Apache Superset GitHub | Website Apache Superset is a must-try project for any ML engineer, data scientist, or data analyst.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Mlearning.ai

JULY 15, 2023

In part 1 of this article, you can see that even simple queries can return misleading (wrong) results if we are not careful. Continue reading on MLearning.ai »

Data Analyst 52

Data Analyst SQL Data Analysis Data Analysis 52

Towards AI

FEBRUARY 4, 2025

Data Scientist Data Analyst Software Engineer Summary Generative AI Source: Microsoft Generative AI is currently a trending and highly-discussed topic. Moreover, for data analysts, LLM can offer a wide spectrum of data insights. Agenda Generative AI 2 WHY? & & 1 HOW? How to find an IDEA?

Data Scientist 96

Data Scientist SQL Data Analyst ML 96

Data Science Dojo

SEPTEMBER 5, 2024

Learn computer vision using Python in the cloud Data Science Statistical Knowledge : Expertise in statistics to analyze and interpret data accurately. Data Manipulation Proficiency : Ability to manipulate and preprocess data using tools like SQL, Python, or R.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

Learn computer vision using Python in the cloud Data Science Statistical Knowledge : Expertise in statistics to analyze and interpret data accurately. Data Manipulation Proficiency : Ability to manipulate and preprocess data using tools like SQL, Python, or R.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Pickl AI

DECEMBER 25, 2024

Key Takeaways Business Analytics targets historical insights; Data Science excels in prediction and automation. Business Analytics requires business acumen; Data Science demands technical expertise in coding and ML. With added skills, professionals can shift between Business Analytics and Data Science.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Mlearning.ai

JUNE 17, 2023

In this scenario, we will use the latter type, specifically, the SQL Database Agent. This agent is designed to interact with SQL databases, from describing a table schema, retrieving data from queries, and even recovering from errors. However, this approach is not always ideal. But we’re not quite finished.

SQL 52

SQL Database Natural Language Processing ML 52

ODSC - Open Data Science

APRIL 3, 2023

As you’ll see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is. Data Presentation: Communication Skills, Data Visualization Any good data analyst can go beyond just number crunching.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

ODSC - Open Data Science

FEBRUARY 13, 2025

Build a Data Analyst AI Agent fromScratch Daniel Herrera, Principal Developer Advocate atTeradata Daniel Herrera guided attendees through the process of building a data analyst AI agent from the ground up. Cloning NotebookLM with Open WeightsModels Niels Bantilan, Chief ML Engineer atUnion.AI

AI 52

AI AI Data Analyst Database 52

Dataconomy

SEPTEMBER 20, 2023

As time has gone on, and technology has developed, the modern business analyst has emerged from the fold as a power user of modern tools and techniques. One such consideration to keep in mind with data is the proliferation of buzzwords such as artificial intelligence (AI) and machine learning (ML) within the corporate workforce.

Data Science 132

Data Science Data Scientist Artificial Intelligence Artificial Intelligence 132

Alation

OCTOBER 14, 2021

Lyngo’s machine learning algorithms convert business questions into SQL, truly democratizing access to data and insights, giving users answers that previously only technical data analysts could provide. This lowers the barrier to entry to sophisticated data analysis for non-technical people.

Analytics 59

Analytics Analytics SQL ML 59

Dataconomy

SEPTEMBER 27, 2023

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

Database Administration 113

Database Administration Database Azure Cloud Computing 113

phData

JUNE 7, 2024

You can use AI and ML functions on your data without leaving Snowflake’s secure and scalable platform. With Cortex, you can use LLM functions such as summarizing text data, translating language data, and extracting information from structured and semi-structured data.

Natural Language Processing 52

Natural Language Processing SQL ML ML 52

phData

MAY 24, 2024

In this blog, we’ll explain Cortex, how its features can be used with simple SQL, and how it can help you make better business decisions. Cortex offers pre-built ML functions for tasks like forecasting and anomaly detection and access to industry-leading large language models (LLMs) for working with unstructured text data.

SQL 52

SQL ML ML Machine Learning 52

AWS Machine Learning Blog

JANUARY 6, 2023

The rules in this engine were predefined and written in SQL, which aside from posing a challenge to manage, also struggled to cope with the proliferation of data from TR’s various integrated data source. TR customer data is changing at a faster rate than the business rules can evolve to reflect changing customer needs.

AWS 97

AWS Data Warehouse ML ML 97

IBM Journey to AI blog

JUNE 8, 2023

Lastly, the BI system must connect to a wide variety of data systems across business functions and be usable by those who are not professional data analysts. The application is built on pillars of data governance and security while enabling scalability, collaboration and operationalized analytics.

Business Intelligence 78

Business Intelligence Business Intelligence AI AI 78

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 is a High-level, Procedural, and object-oriented language; it is also a vast language itself, and covering the whole of Python is one the worst mistakes we can make in the data science journey.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

DataRobot

FEBRUARY 22, 2021

The founding of the 10X Academy is part of DataRobot’s commitment to developing automation that improves the productivity of data scientists while democratizing access to AI for non-data scientists. In terms of data analysis, I scraped huge datasets and applied NLP, feature engineering, and ML algorithms using Python.”.

Data Science 52

Data Science Data Scientist Citizen Data Scientist Data Analyst 52

Mlearning.ai

MARCH 15, 2023

Data professionals are in high demand all over the globe due to the rise in big data. The roles of data scientists and data analysts cannot be over-emphasized as they are needed to support decision-making. This article will serve as an ultimate guide to choosing between Data Science and Data Analytics.

Data Science 52

Data Science Analytics Analytics Data Analyst 52

IBM Journey to AI blog

JULY 6, 2023

Data science solves a business problem by understanding the problem, knowing the data that’s required, and analyzing the data to help solve the real-world problem. Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on learning from what the data science comes up with.

Machine Learning 70

Machine Learning Machine Learning Data Science Big Data 70

AWS Machine Learning Blog

FEBRUARY 14, 2024

Amazon Redshift has announced a feature called Amazon Redshift ML that makes it straightforward for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Redshift data warehouses.

AWS 141

AWS AI AI Database 141

Pickl AI

FEBRUARY 19, 2025

Think of Data Science as the overarching umbrella, covering a wide range of tasks performed to find patterns in large datasets, while Data Analytics is a task that resides under the Data Science umbrella to query, interpret, and visualize datasets. Data Analysts , however, do not need deep programming knowledge.

Data Science 52

Data Science Analytics Analytics Machine Learning 52

Pickl AI

APRIL 19, 2023

Job market will experience a rise of 13% by 2026 for ML Engineers Why is Machine Learning Important? Machine Learning allows complex mathematical calculations to be solved with automation for the purpose of Big Data. It includes learning Python, R, Java, C++, SQL, etc. Accordingly, an entry-level ML engineer will earn around 5.1

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

JANUARY 13, 2025

Key Skills Expertise in statistical analysis and data visualization tools. Proficiency in programming languages like Python and SQL. Data Analyst Data Analysts gather and interpret data to help organisations make informed decisions. Key Skills Proficiency in data visualization tools (e.g.,

AI 52

AI AI Machine Learning Machine Learning 52

phData

MARCH 27, 2024

The SnowPro Advanced Data Analyst Certification tests the advanced Snowflake knowledge and skills of Data Analysts, ELT Developers, and BI Specialists. The answer to this question depends on your study schedule, familiarity with SQL, and understanding of topics as you advance through the platform.

Data Analyst 52

Data Analyst Data Engineering Data Engineering Data Engineering 52

Pickl AI

SEPTEMBER 12, 2023

Data Analyst: Data Analysts work with data to extract meaningful insights and support decision-making processes. They gather, clean, analyze, and visualize data using tools like Excel, SQL, and data visualization software.

Data Science 52

Data Science Data Analyst Machine Learning Machine Learning 52

The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69

IBM Journey to AI blog

MARCH 14, 2024

 Netezza incorporates in-database analytics and machine learning (ML), governance, security and patented massively parallel processing. Whether it’s for ad hoc analytics, data transformation, data sharing, data lake modernization or ML and gen AI, you have the flexibility to choose.

AWS 93

AWS Database ETL AI 93

Alation

MAY 24, 2022

Alation has been leading the evolution of the data catalog to a platform for data intelligence. Higher data intelligence drives higher confidence in everything related to analytics and AI/ML. Data Profiling — Statistics such as min, max, mean, and null can be applied to certain columns to understand its shape.

Data Quality 98

Data Quality Data Governance ETL Data Observability 98

Alation

SEPTEMBER 23, 2021

There are many other features and functions , but to verify that a data catalog functions as platform, look for these five features: Intelligence – A data catalog should leverage AI/ML-driven pattern detection, including popularity, pattern matching, and provenance/impact analysis. Key Features of a Data Catalog.

Data Preparation 52

Data Preparation SQL Data Governance Data Analysis 52

Pickl AI

MAY 30, 2023

Moreover, you can easily opt for 6 month certification program that pays well in the field that will allow you to gain perfection in ML. Learn the techniques in Machine Learning Use different tools for applications of ML and NLP Salary of the ML Engineer in India ranges between 3 Lakhs to 20.8 Lakhs annually.

Data Science 52

Data Science Data Mining Data Mining Data Mining 52

Pickl AI

JANUARY 9, 2025

By understanding the Operations Analyst’s evolving duties, aspiring professionals and organisations can align their goals to meet the demands of modern operations management effectively. Key Takeaways Operations Analysts optimise efficiency through data-driven decision-making.

Power BI 52

Power BI Machine Learning Machine Learning Tableau 52

Women in Big Data

MAY 21, 2024

Empowerment: Opening doors to new opportunities and advancing careers, especially for women in data. She highlighted various certification programs, including “Data Analyst,” “Data Scientist,” and “Data Engineer” under Career Certifications. Is the community free of charge?

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Alation

JANUARY 25, 2022

These two resources can help you get started: White paper: How to Evaluate a Data Catalog. Webinar: Five Must-Haves for a Data Catalog. At its best, a data catalog should empower data analysts, scientists, and anyone curious about data with tools to explore and understand it.

DataOps 52

DataOps SQL ML ML 52