Data Science Dojo

MAY 10, 2023

Data Analyst Data analysts are responsible for collecting, analyzing, and interpreting large sets of data to identify patterns and trends. They require strong analytical skills, knowledge of statistical analysis, and expertise in data visualization.

Data Science 368

Data Science Data Scientist Database Administration Machine Learning 368

Data Science Dojo

MAY 1, 2023

Pandas Pandas is a powerful data manipulation library for Python that provides fast, flexible, and expressive data structures designed to make working with “relational” or “labeled” data easy and intuitive.

Python 327

Python Machine Learning Machine Learning Data Science 327

Dataconomy

MAY 26, 2025

Azure Data Studio has rapidly gained popularity among developers and database administrators for its user-friendly design and powerful features. As a versatile tool, it simplifies the management of both SQL Server and Azure SQL databases, offering a modern alternative to traditional database management solutions.

Azure 91

Azure Database Administration SQL Database 91

Data Science Dojo

OCTOBER 4, 2024

Key Skills Required Knowledge of Algorithms and Predictive Models: Proficiency in using algorithms and predictive models to forecast future trends based on present data. Data Visualization Techniques: Ability to transform complex data into understandable graphs and charts.

Computer Science 418

Computer Science Computer Science Database Administration Data Scientist 418

AWS Machine Learning Blog

MARCH 18, 2025

SQL is one of the key languages widely used across businesses, and it requires an understanding of databases and table metadata. This can be overwhelming for nontechnical users who lack proficiency in SQL. This application allows users to ask questions in natural language and then generates a SQL query for the users request.

SQL 101

SQL Database AI AI 101

Data Science Dojo

FEBRUARY 9, 2023

Data is an essential component of any business, and it is the role of a data analyst to make sense of it all. Power BI is a powerful data visualization tool that helps them turn raw data into meaningful insights and actionable decisions. Learn Power BI with this crash course in no time!

Power BI 221

Power BI Data Analyst Data Visualization Data Analysis 221

Data Science Dojo

MARCH 7, 2023

These skills include programming languages such as Python and R, statistics and probability, machine learning, data visualization, and data modeling. Data preparation is an essential step in the data science workflow, and data scientists should be familiar with various data preparation tools and best practices.

Data Scientist 221

Data Scientist Exploratory Data Analysis Data Science Data Visualization 221

ODSC - Open Data Science

APRIL 6, 2023

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. But why is SQL, or Structured Query Language , so important to learn? Let’s start with the first clause often learned by new SQL users, the WHERE clause.

SQL 98

SQL Data Scientist Database Data Science 98

Data Science Dojo

MAY 18, 2023

Data Storytelling in Action: This panel will discuss the importance of data visualization in storytelling in different industries, different visualization tools, tips on improving one’s visualization skills, personal experiences, breakthroughs, pressures, and frustrations as well as successes and failures.

Data Science 195

Data Science AI AI Deep Learning 195

How to Learn Machine Learning

APRIL 26, 2025

Data Sources and Collection Everything in data science begins with data. Data can be generated from databases, sensors, social media platforms, APIs, logs, and web scraping. Data can be in structured (like tables in databases), semi-structured (like XML or JSON), or unstructured (like text, audio, and images) form.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Data Science Dojo

JULY 3, 2024

Data science bootcamps are intensive short-term educational programs designed to equip individuals with the skills needed to enter or advance in the field of data science. They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

DECEMBER 11, 2024

By moving our core infrastructure to Amazon Q, we no longer needed to choose a large language model (LLM) and optimize our use of it, manage Amazon Bedrock agents, a vector database and semantic search implementation, or custom pipelines for data ingestion and management. Jonathan Garcia is a Sr.

AWS 101

AWS Database AI AI 101

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. Data visualization can help here by visualizing your datasets.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

ODSC - Open Data Science

NOVEMBER 3, 2023

Data visualization tools turn insights and data into something understandable, especially for non-data stakeholders who may not share the same skillsets as the team who’s behind the data. So let’s take a look at seven trending data visualization tools that have gotten quite a bit of attention on GitHub this year.

Data Visualization 52

Data Visualization Python Data Science SQL 52

Dataconomy

JULY 24, 2023

You might be asking, “How to become a data scientist with a background in a different field?” ” Data management and manipulation Data scientists often deal with vast amounts of data, so it’s crucial to understand databases, data architecture, and query languages like SQL.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Smart Data Collective

SEPTEMBER 26, 2021

There’s not much value in holding on to raw data without putting it to good use, yet as the cost of storage continues to decrease, organizations find it useful to collect raw data for additional processing. The raw data can be fed into a database or data warehouse. If it’s not done right away, then later.

Database 130

Database Data Visualization Big Data Big Data 130

Pickl AI

JUNE 5, 2025

Below are the essential core skills that aspiring and practicing data scientists need to excel in India’s competitive job market: Programming Languages: Proficiency in Python and R is essential. SQL remains crucial for database querying, especially given India’s large IT services ecosystem. Big Data: Apache Hadoop, Apache Spark.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Cambridge Intelligence

OCTOBER 25, 2023

Visualizing graph data doesn’t necessarily depend on a graph database… Working on a graph visualization project? You might assume that graph databases are the way to go – they have the word “graph” in them, after all. Do I need a graph database? It depends on your project. Unstructured?

Database 64

Database Data Modeling Data Models Algorithm 64

Cambridge Intelligence

OCTOBER 19, 2023

That’s why our data visualization SDKs are database agnostic: so you’re free to choose the right stack for your application. There have been a lot of new entrants and innovations in the graph database category, with some vendors slowly dipping below the radar, or always staying on the periphery.

Database 59

Database Azure Analytics Analytics 59

Pickl AI

APRIL 3, 2025

Summary: Data Analysis focuses on extracting meaningful insights from raw data using statistical and analytical methods, while data visualization transforms these insights into visual formats like graphs and charts for better comprehension. Deep Dive: What is Data Visualization?

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

Pickl AI

JULY 3, 2024

Summary: Master SQL ranking functions to analyze data order and uncover trends. Introduction to SQL Ranking In the realm of Data Analysis, extracting insights often goes beyond simple aggregations. Introduction to SQL Ranking In the realm of Data Analysis, extracting insights often goes beyond simple aggregations.

SQL 52

SQL Data Analysis Data Analysis Database 52

AWS Machine Learning Blog

APRIL 10, 2025

Chart and data visualization interpretation The model demonstrates exceptional proficiency in understanding complex visual data representations. It can effortlessly identify trends, anomalies, and key data points within graphical visualizations. You have created an ER diagram.

AWS 98

AWS SQL Database AI 98

Smart Data Collective

OCTOBER 14, 2019

They would source large volumes of data from different platforms into Hadoop’s. NoSQL and SQL. In addressing storage needs, traditional databases like Oracle are being replaced. Developers need an understanding of MongoDB, Couchbase, and other NoSQL database types. Apache Spark. Quantitative Analysis.

Big Data 99

Big Data Big Data Apache Hadoop Hadoop 99

Pickl AI

MARCH 19, 2025

Summary: Data engineering tools streamline data collection, storage, and processing. Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Learning these tools is crucial for building scalable data pipelines. What Does a Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

Dataconomy

MARCH 6, 2025

Data visualization For a long time, Tableau led the industry in data visualization. Those conclusions can then be compared against the existing in-house analytics and serve as a nice way to double-check that the business is looking at its data in the right way. Documenting with ChatPRD 9.

Artificial Intelligence 103

Artificial Intelligence Artificial Intelligence SQL Tableau 103

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. OneLake is designed to store a single copy of data in a unified location, leveraging the open-source Apache Parquet format.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

Mlearning.ai

FEBRUARY 13, 2023

Welcome to the wild, wacky world of databases! to the digital world, you’ll find that these unsung heroes of the digital age are essential for keeping your data organised and secure. But with so many types of databases to choose from, how do you know which one is right for you? The most well-known graph database is Neo4j.

Database 52

Database Data Models Data Modeling Big Data 52

Tableau

DECEMBER 1, 2021

Chris had earned an undergraduate computer science degree from Simon Fraser University and had worked as a database-oriented software engineer. In 2004, Tableau got both an initial series A of venture funding and Tableau’s first EOM contract with the database company Hyperion—that’s when I was hired. Release v1.0

Tableau 145

Tableau ML ML Database 145

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. He covered schema design, vector indexing, and ranking functions to optimize AI-driven search and recommendation systems.

AI 52

AI AI Data Analyst Database 52

Pickl AI

MARCH 3, 2025

Summary: Business Intelligence Analysts transform raw data into actionable insights. They use tools and techniques to analyse data, create reports, and support strategic decisions. Key skills include SQL, data visualization, and business acumen. Introduction We are living in an era defined by data.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Smart Data Collective

AUGUST 10, 2021

It can connect any data source, although the better your source, the better the results will be. Another key benefit is that it allows companies to create data visualizations! Another cloud-based software with an easy-to-use interface, Looker provides not only data analytics and management, but also business intelligence tools.

Analytics 132

Analytics Analytics Data Science Tableau 132

phData

NOVEMBER 4, 2024

By providing a single, unified platform for data storage, management, and analysis, Snowflake connects organizations to leading software vendors specializing in analytics, machine learning, data visualization, and more.

Machine Learning 69

Machine Learning Machine Learning Data Science ML 69

Pickl AI

JULY 3, 2023

It is the process of converting raw data into relevant and practical knowledge to help evaluate the performance of businesses, discover trends, and make well-informed choices. Data gathering, data integration, data modelling, analysis of information, and data visualization are all part of intelligence for businesses.

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Analytics Vidhya

DECEMBER 27, 2022

This article was published as a part of the Data Science Blogathon. Source: Author(Paint) Introduction Arushi is a data architect in a company named Redeem. The company provides cashback to customers who check in at restaurants & hotels.

Data Science 306

Data Science Analytics Analytics Data Visualization 306

Pickl AI

JULY 18, 2023

It is popular for its powerful data visualization and analysis capabilities. Hence, Data Scientists rely on R to perform complex statistical operations. With a wide array of packages like ggplot2 and dplyr, R allows for sophisticated data visualization and efficient data manipulation. Wrapping it up !!!

Data Science 52

Data Science SQL Data Scientist Python 52

Tableau

OCTOBER 8, 2021

With Looker’s secure, trusted and highly performant data governance capabilities, we can augment Tableau’s world-class data visualization capabilities to enable data-driven decisions across the enterprise. Tableau Prep allows you to combine, reshape, and clean data using an easy-to-use, visual, and direct interface.

Tableau 138

Tableau Analytics Analytics Machine Learning 138

ODSC - Open Data Science

FEBRUARY 8, 2023

Common databases appear unable to cope with the immense increase in data volumes. This is where the BigQuery data warehouse comes into play. BigQuery operation principles Business intelligence projects presume collecting information from different sources into one database. BigQuery for Marketing: What Makes it Special?

Database 97

Database Data Science Big Data Big Data 97