Data Science Dojo

MAY 18, 2023

Introduction to Python for Data Science: This lecture introduces the tools and libraries used in Python for data science and engineering. Want to dive deep into Python? Check out our Introduction to Python for Data Science training – a perfect way to get started.

Data Science 195

Data Science AI AI SQL 195

Pickl AI

MARCH 3, 2025

Summary: Business Intelligence Analysts transform raw data into actionable insights. Key skills include SQL, data visualization, and business acumen. From customer interactions to market trends, every aspect of business generates a wealth of information. What Is Business Intelligence?

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

How to Learn Machine Learning

APRIL 26, 2025

The processes of SQL, Python scripts, and web scraping libraries such as BeautifulSoup or Scrapy are used for carrying out the data collection. Tools like Python (with pandas and NumPy), R, and ETL platforms like Apache NiFi or Talend are used for data preparation before analysis.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Data Science Dojo

JULY 6, 2023

It provides high-speed, in-memory data processing capabilities and supports various programming languages like Scala, Java, Python, and R. dbt focuses on transforming raw data into analytics-ready tables using SQL-based transformations. Looker: Looker is a business intelligence and data visualization platform.

Data Engineering 195

Data Engineering Data Engineering Data Engineer Data Engineering 195

Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Pickl AI

NOVEMBER 18, 2024

Software like Microsoft Excel and SQL helps them manipulate and query data efficiently. Programming languages such as Python and R are essential for advanced analytics. Are you aiming for an entry-level role or looking to specialise in a particular area of Data Analytics, such as Machine Learning or Business Intelligence?

Data Analyst 110

Data Analyst SQL Python AWS 110

Dataconomy

JULY 24, 2023

Programming skills A proficient data scientist should have strong programming skills, typically in Python or R, which are the most commonly used languages in the field. Look for internships in roles like data analyst, business intelligence analyst, statistician, or data engineer.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Pickl AI

NOVEMBER 4, 2024

Coming to APIs again, discover how to use ChatGPT APIs in Python by clicking on the link. Each database type requires its specific driver, which interprets the application’s SQL queries and translates them into a format the database can understand. INSERT : Add new records to a table. UPDATE : Modify existing records in a table.

Database 52

Database SQL ETL Azure 52

Pickl AI

JANUARY 25, 2023

The easiest skill that a Data Science aspirant might develop is SQL. Management and storage of Data in businesses require the use of a Database Management System. This blog would an introduction to SQL for Data Science which would cover important aspects of SQL, its need in Data Science, and features and applications of SQL.

SQL 52

SQL Data Science Database Data Analysis 52

ODSC - Open Data Science

FEBRUARY 24, 2023

Sweetviz GitHub | Website Sweetviz is an open-source Python library that generates beautiful, high-density visualizations to kickstart EDA (Exploratory Data Analysis) with just two lines of code. VisiData works with CSV files, Excel spreadsheets, SQL databases, and many other data sources.

Exploratory Data Analysis 126

Exploratory Data Analysis Data Visualization Data Analysis Data Analysis 126

Data Science Blog

JUNE 30, 2023

However, we collect these over time and will make trends secure, for example how the demand for Python, SQL or specific tools such as dbt or Power BI changes. The presentation is currently limited to the current situation on the labor market. Why we did it? It is a nice show-case many people are interested in.

Data Engineering 130

Data Engineering Data Engineering Data Engineer Data Engineering 130

Pickl AI

NOVEMBER 5, 2024

It allows developers to easily connect to databases, execute SQL queries, and retrieve data. It operates as an intermediary, translating Java calls into SQL commands the database understands. ODBC uses standard SQL syntax, enabling different applications to communicate with databases regardless of the programming language.

Database 52

Database SQL Python Database Administration 52

AWS Machine Learning Blog

MAY 30, 2024

AWS Prototyping successfully delivered a scalable prototype, which solved CBRE’s business problem with a high accuracy rate (over 95%) and supported reuse of embeddings for similar NLQs, and an API gateway for integration into CBRE’s dashboards. The wrapper function runs the SQL query using psycopg2.

AWS 133

AWS SQL Database AI 133

Data Science Dojo

SEPTEMBER 5, 2024

The common skills required within each are listed as follows: Computer Science Programming Skills : Proficiency in various programming languages such as Python, Java, and C++ is essential. Learn computer vision using Python in the cloud Data Science Statistical Knowledge : Expertise in statistics to analyze and interpret data accurately.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

The common skills required within each are listed as follows: Computer Science Programming Skills : Proficiency in various programming languages such as Python, Java, and C++ is essential. Learn computer vision using Python in the cloud Data Science Statistical Knowledge : Expertise in statistics to analyze and interpret data accurately.

Computer Science 195

Computer Science Computer Science Data Science Machine Learning 195

Smart Data Collective

MAY 20, 2019

For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. Basic Business Intelligence Experience is a Must. Communication happens to be a critical soft skill of business intelligence. The successful analysts of today and tomorrow must have a solid foundation in business intelligence too.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Pickl AI

JULY 18, 2023

Python: Versatile and Robust Python is one of the future programming languages for Data Science. However, with libraries like NumPy, Pandas, and Matplotlib, Python offers robust tools for data manipulation, analysis, and visualization. Enrol Now: Python Certification Training Data Science Course 2.

Data Science 52

Data Science SQL Data Scientist Python 52

Smart Data Collective

APRIL 29, 2020

Redshift is the product for data warehousing, and Athena provides SQL data analytics. The services from AWS can be catered to meet the needs of each business user. Dataform is a data transformation platform that is based on SQL. SQL workflows can be written by teams as part of a collaborative IDE.

Data Warehouse 99

Data Warehouse SQL Azure ETL 99

Analytics Vidhya

JUNE 27, 2020

Overview There are a plethora of data science tools out there – which one should you pick up? Here’s a list of over 20. The post 22 Widely Used Data Science and Machine Learning Tools in 2020 appeared first on Analytics Vidhya.

Data Science 400

Data Science Machine Learning Machine Learning Analytics 400

Towards AI

APRIL 19, 2024

· Code generation · Product development · Graphic design and video creation · Hyper-personalized communication · Streamlined content creation · Automated project management tasks · Enhanced business and employee management · 24/7 inquiry handling · Heightened customer support and service · Fraud detection and risk management · Generating synthetic (..)

AI 106

AI AI Artificial Intelligence Artificial Intelligence 106

Pickl AI

JULY 3, 2023

What is Business Intelligence? Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. billion in 2015 and reached around $26.50

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Smart Data Collective

OCTOBER 14, 2019

Users only need to include the respective path in the SQL query to get to work. In addition to supporting standard SQL, Apache Drill lets you keep depending on business intelligence tools you may already use, such as Qlik and Tableau. It allows secure and interactive SQL analytics at the petabyte scale.

Data Science 94

Data Science SQL Big Data Big Data 94

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 22, 2025

Summary: This article highlights the ten most popular programming languages in 2025, including Python, Java, and JavaScript. Introduction Did you know that programming languages are the backbone of modern technology, enabling everything from simple web pages to complex artificial intelligence systems?

Python 52

Python Data Science SQL Cloud Computing 52

AWS Machine Learning Blog

APRIL 19, 2023

Most publicly available fraud detection datasets don’t provide this information, so we use the Python Faker library to generate a set of transactions covering a 5-month period. In our use case, we show how using SQL for aggregations can enable a data scientist to provide the same code for both batch and streaming.

ML 98

ML ML Apache Kafka SQL 98

AWS Machine Learning Blog

AUGUST 12, 2024

AWS data engineering pipeline The adaptable approach detailed in this post starts with an automated data engineering pipeline to make data stored in Splunk available to a wide range of personas, including business intelligence (BI) analysts, data scientists, and ML practitioners, through a SQL interface.

ML 127

ML ML AWS AI 127

Pickl AI

FEBRUARY 28, 2023

Furthermore, they must be highly efficient in programming languages like Python or R and have data visualization tools and database expertise. A Data Analyst is an expert in collecting, cleaning and interpreting data that helps solve or answer business problems. Who is a Data Analyst? in manipulating and analysing the data.

Data Analyst 52

Data Analyst Data Scientist Data Science Computer Science 52

phData

JANUARY 31, 2024

Python has long been the favorite programming language of data scientists. Historically, Python was only supported via a connector, so making predictions on our energy data using an algorithm created in Python would require moving data out of our Snowflake environment.

Machine Learning 52

Machine Learning Machine Learning Python Data Scientist 52

Towards AI

JANUARY 27, 2023

I started my journey as a software engineer around technologies such as web stack including python, javascript, and java stack. To that end, I started picking up more responsibilities such as managing databases both SQL and NoSQL. I got very passionate about building products where I could see the impact in front of me.

Exploratory Data Analysis 94

Exploratory Data Analysis Data Analysis Data Analysis EDA 94

Pickl AI

MARCH 31, 2023

This includes mastering the programming languages like Python and SQL. In addition, demonstrable proficiency in Data Analytics software and business intelligence also helps. If you are willing to become a Data Analyst, familiarity with tools like Python, SQL, and visualization tools like Tableau is always helpful.

Analytics 52

Analytics Analytics Data Analyst Data Analysis 52

Pickl AI

JULY 10, 2024

Course Content: Basics of AI Applications and transformative impact of AI Ethical issues in AI Hands-on projects and expert insights Machine Learning A-Z Course by Udemy This course covers the full spectrum of Machine Learning, from basic concepts to advanced techniques, using Python and R. Hands-on coding exercises in Python and R.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Pickl AI

DECEMBER 17, 2024

It is open-source and uses Structured Query Language (SQL) to manage and manipulate data. Its ease of use and support for standard SQL syntax have contributed to widespread adoption across diverse industries. Often called Postgres, it supports both SQL and JSON querying, making it a hybrid database ideal for modern application needs.

Database 52

Database SQL Analytics Analytics 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes. Your skill set should include the ability to write in the programming languages Python, SAS, R and Scala.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Dataconomy

JULY 25, 2023

Data scientists use a combination of programming languages (Python, R, etc.), Some common positions include data analyst, machine learning engineer, data engineer, and business intelligence analyst. Impactful work: Data scientists are crucial in shaping business strategies, driving innovation, and solving complex problems.

Data Science 91

Data Science Data Scientist Machine Learning Machine Learning 91

Pickl AI

APRIL 26, 2024

It covers essential topics such as SQL queries, data visualization, statistical analysis, machine learning concepts, and data manipulation techniques. Key Takeaways SQL Mastery: Understand SQL’s importance, join tables, and distinguish between SELECT and SELECT DISTINCT. How do you join tables in SQL?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

AWS Machine Learning Blog

JUNE 25, 2024

To create and share customer feedback analysis without the need to manage underlying infrastructure, Amazon QuickSight provides a straightforward way to build visualizations, perform one-time analysis, and quickly gain business insights from customer feedback, anytime and on any device.

AWS 130

AWS Natural Language Processing Machine Learning Machine Learning 130