Data Science Dojo

APRIL 29, 2025

In the world of data, data workflows are essential to providing the ideal insights. Imagine youre the data analyst for a top football club, and after reviewing the performance from the start of the season, you spot a key challenge: the team is creating plenty of chances, but the number of goals does not reflect those opportunities.

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Mlearning.ai

SEPTEMBER 1, 2023

Unlocking the power of ChatGPT for your data analytics use cases Continue reading on MLearning.ai »

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Data Science Dojo

JANUARY 13, 2023

The conference is organized by Gartner, a leading research and advisory company, and is focused on the latest trends, strategies, and technologies in data and analytics. The summit focuses on showcasing the opportunities of advancing methods in AI and machine learning (ML) and their impact across healthcare and medicine.

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ODSC - Open Data Science

FEBRUARY 24, 2023

There are many well-known libraries and platforms for data analysis such as Pandas and Tableau, in addition to analytical databases like ClickHouse, MariaDB, Apache Druid, Apache Pinot, Google BigQuery, Amazon RedShift, etc. These tools will help make your initial data exploration process easy.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Pickl AI

MAY 15, 2024

Dreaming of a Data Science career but started as an Analyst? This guide unlocks the path from Data Analyst to Data Scientist Architect. Data Analyst to Data Scientist: Level-up Your Data Science Career The ever-evolving field of Data Science is witnessing an explosion of data volume and complexity.

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AWS Machine Learning Blog

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Data is the foundational layer for all generative AI and ML applications.

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Data Science Dojo

SEPTEMBER 5, 2024

Data science involves the use of scientific methods, processes, algorithms, and systems to analyze and interpret data. It integrates aspects from multiple disciplines, including: Statistics : For data analysis and interpretation. Business Acumen : To translate data insights into actionable business strategies.

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Data Science Dojo

SEPTEMBER 5, 2024

Data science involves the use of scientific methods, processes, algorithms, and systems to analyze and interpret data. It integrates aspects from multiple disciplines, including: Statistics : For data analysis and interpretation. Business Acumen : To translate data insights into actionable business strategies.

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Smart Data Collective

DECEMBER 19, 2021

Therefore, if you don’t preprocess the data before applying it in the machine learning or AI algorithms, you are most likely to get wrong, delayed, or no results at all. Hence, data preprocessing is essential and required. Python as a Data Processing Technology. Why Choosing Python Over Other Technologies in FinTech?

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Pickl AI

JANUARY 29, 2024

As we navigate this landscape, the interconnected world of Data Science, Machine Learning, and AI defines the era of 2024, emphasising the importance of these fields in shaping the future. ’ As we navigate the expansive tech landscape of 2024, understanding the nuances between Data Science vs Machine Learning vs ai.

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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

The MLOps Blog

MARCH 20, 2023

Long-term ML project involves developing and sustaining applications or systems that leverage machine learning models, algorithms, and techniques. An example of a long-term ML project will be a bank fraud detection system powered by ML models and algorithms for pattern recognition. 2 Ensuring and maintaining high-quality data.

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ML ML Machine Learning Machine Learning 59

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

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Pickl AI

OCTOBER 18, 2023

How to Scale Your Data Quality Operations with AI and ML: In the fast-paced digital landscape of today, data has become the cornerstone of success for organizations across the globe. Every day, companies generate and collect vast amounts of data, ranging from customer information to market trends.

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IBM Journey to AI blog

JUNE 5, 2024

Given the volume of SaaS apps on the market (more than 30,000 SaaS developers were operating in 2023) and the volume of data a single app can generate (with each enterprise businesses using roughly 470 SaaS apps), SaaS leaves businesses with loads of structured and unstructured data to parse. What are application analytics?

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Pickl AI

JANUARY 30, 2023

The role of Python is not just limited to Data Science. It’s a universal programming language that finds application in different technologies like AI, ML, Big Data and others. Scientific Computing: Use Python for scientific computing tasks, such as data analysis and visualization, Machine Learning, and numerical simulations.

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Python Machine Learning Machine Learning Data Science 97

Mlearning.ai

JUNE 8, 2023

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

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SQL Data Analyst Data Analysis Data Analysis 52

ODSC - Open Data Science

APRIL 3, 2023

We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023. Excel is the second most sought-after tool in our chart as you’ll see below as it’s still an industry standard for data management and analytics.

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ODSC - Open Data Science

APRIL 13, 2023

Going into developing machine learning models with a hands-on, data-centric AI approach has its benefits and requires a few extra steps to achieve. Here are a few examples, including health record analysis and protein discovery. Learn more here. Here’s how to get there.

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ML ML Data Science Machine Learning 52

Heartbeat

APRIL 30, 2023

Photo by Comet ML Introduction In the field of computer vision, Kangas is one of the tools becoming increasingly popular for image data processing and analysis. Similar to how Pandas revolutionized the way data analysts work with tabular data, Kangas is doing the same for computer vision tasks.

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Data Analysis Data Analysis ML ML 84

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?

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Data Scientist SQL Data Analyst ML 96

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

ODSC - Open Data Science

APRIL 6, 2023

For budding data scientists and data analysts, there are mountains of information about why you should learn R over Python and the other way around. Though both are great to learn, what gets left out of the conversation is a simple yet powerful programming language that everyone in the data science world can agree on, SQL.

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SQL Data Scientist Database Data Science 98

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

Pickl AI

MARCH 21, 2025

In artificial intelligence (AI) and machine learning (ML), it powers smart applications like chatbots and recommendation systems. Whether you are working on data analysis, artificial intelligence, web development, or automation, Python has libraries to support your needs. TensorFlow for machine learning.

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Python Data Science Machine Learning Machine Learning 52

Becoming Human

MAY 15, 2023

These communities will help you to be updated in the field, because there are some experienced data scientists posting the stuff, or you can talk with them so they will also guide you in your journey. Data Analysis After learning math now, you are able to talk with your data.

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Data Science Machine Learning Machine Learning Database 75

Mlearning.ai

DECEMBER 4, 2023

Generated with Bing AI Unlocking the power of data doesn't require a data analyst certification; it's a skill accessible to anyone with data access. Grasp the Essence of Your Data Dig deeper than the surface — understand the intricacies of each column and unravel the connections between tables.

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ODSC - Open Data Science

OCTOBER 20, 2023

You’ll use MLRun, Langchain, and Milvus for this exercise and cover topics like the integration of AI/ML applications, leveraging Python SDKs, as well as building, testing, and tuning your work. LLMs in Data Analytics: Can They Match Human Precision?

AI 52

AI AI Data Science Machine Learning 52

Pickl AI

JANUARY 23, 2024

Job roles span from Data Analyst to Chief Data Officer, each contributing significantly to organisational success. Data Management Proficient in efficiently collecting and interpreting vast datasets. Programming Proficiency Hands-on experience in Python and R for practical Data Analysis.

Data Analyst 52

Data Analyst Analytics Analytics Machine Learning 52

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. The main goal of Data Analytics is to improve decision-making.

Data Science 52

Data Science Analytics Analytics Machine Learning 52

O'Reilly Media

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Data analysis showed a similar pattern: 70% total; 32% using AI, 38% experimenting with it. Using generative AI tools for tasks related to programming (including data analysis) is nearly universal.

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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.

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Machine Learning Machine Learning Data Science Big Data 70

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.

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Analytics Analytics SQL ML 59

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. Contact phData Today!

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phData

MAY 24, 2024

Snowflake Cortex is an intelligent, fully-managed service within Snowflake that lets businesses leverage the power of machine learning (ML) and artificial intelligence (AI) directly on their data with minimal ML or AI knowledge. Simply upload your documents, ask a question, and get the answer!

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SQL ML ML Machine Learning 52

Pickl AI

JANUARY 13, 2025

Data Analyst Data Analysts gather and interpret data to help organisations make informed decisions. They play a crucial role in shaping business strategies based on data insights. Proficiency in Data Analysis tools for market research. Proficiency in using AI tools for threat detection.

AI 52

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Pickl AI

SEPTEMBER 23, 2024

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

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