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 Engineering Data Engineer 130

Pickl AI

DECEMBER 25, 2024

Dashboards, such as those built using Tableau or Power BI , provide real-time visualizations that help track key performance indicators (KPIs). Descriptive analytics is a fundamental method that summarizes past data using tools like Excel or SQL to generate reports. Data Scientists require a robust technical foundation.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Data Science Dojo

JULY 3, 2024

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Databases and SQL : Managing and querying relational databases using SQL, as well as working with NoSQL databases like MongoDB. R : Often used for statistical analysis and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

MAY 30, 2024

CBRE is unlocking the potential of artificial intelligence (AI) to realize value across the entire commercial real estate lifecycle—from guiding investment decisions to managing buildings. The wrapper function creates a dynamic prompt template and generates a SQL query using Anthropic Claude 2.

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Data Science Blog

NOVEMBER 15, 2023

Example Event Log for Process Mining The following example SQL-query is inserting Event-Activities from a SAP ERP System into an existing event log database table. Nevertheless, process mining can be considered a sub-discipline of business intelligence. It is based on a German SAP ERP configuration with customized processes.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Analytics Vidhya

DECEMBER 19, 2022

Introduction The world is transforming by AI, ML, Blockchain, and Data Science drastically, and hence its community is growing rapidly. So, to provide our community with the knowledge they need to master these domains, Analytics Vidhya has launched its DataHour sessions.

Data Science 328

Data Science ML ML Analytics 328

Pickl AI

JANUARY 9, 2025

Expertise in tools like Power BI, SQL, and Python is crucial. Expertise in programs like Microsoft Excel, SQL , and business intelligence (BI) tools like Power BI or Tableau allows analysts to process and visualise data efficiently. AI and automation play a central role in the evolving role.

Power BI 52

Power BI Machine Learning Machine Learning Tableau 52

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

OCTOBER 17, 2024

Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis. Common tools like Tableau, Power BI, and Google Data Studio enable businesses to create dynamic visualisations that simplify complex datasets. These visual representations help users quickly identify trends and patterns.

Analytics 52

Analytics Analytics Power BI Tableau 52

ODSC - Open Data Science

APRIL 3, 2023

Data Analytics Platforms: Tableau, Power BI, Looker, Alteryx, Google Analytics, SPSS, SAP, Pandas. The most common trend shouldn’t come as a surprise, as the most in-demand data analytics platforms revolve around reporting, such as Tableau, Power BI, Looker, Alteryx, Google Analytics, SPSS, and SAP.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Pickl AI

JULY 25, 2023

With expertise in programming languages like Python , Java , SQL, and knowledge of big data technologies like Hadoop and Spark, data engineers optimize pipelines for data scientists and analysts to access valuable insights efficiently. Excel, Tableau, Power BI, SQL Server, MySQL, Google Analytics, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

JULY 10, 2024

Introduction Artificial Intelligence (AI) and Machine Learning are revolutionising industries by enabling smarter decision-making and automation. Understanding AI and Machine Learning Artificial Intelligence (AI) is the simulation of human intelligence in machines designed to think and act like humans.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Pickl AI

JULY 30, 2024

Skills Develop proficiency in programming languages like Python , R, and SQL. Power BI Power BI is a business analytics tool that allows researchers to create interactive dashboards and reports. Artificial Intelligence Integrating AI and machine learning techniques into bioinformatics is a challenge.

Cloud Computing 52

Cloud Computing Machine Learning Machine Learning Power BI 52

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

ODSC - Open Data Science

APRIL 26, 2023

Because they are the most likely to communicate data insights, they’ll also need to know SQL, and visualization tools such as Power BI and Tableau as well. Some of the tools you can expect to see used will be Power BI and Tableau Data Architect Before you ask, yes a data architect and a data engineer are quite different.

Data Analyst 52

Data Analyst Machine Learning Machine Learning Power BI 52

Pickl AI

DECEMBER 4, 2024

The rise of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML) , and Big Data analytics is reshaping industries and creating new opportunities for Data Scientists. Focus on Python and R for Data Analysis, along with SQL for database management. Here are five key trends to watch.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

FEBRUARY 19, 2025

Here are some of the most essential elements of Data Science: Machine Learning (ML): Helps computers learn from data and make predictions without direct programming; powers recommendation systems like those on Netflix or Amazon. SQL : A database language to fetch and analyse data.

Data Science 52

Data Science Analytics Analytics Machine Learning 52

ODSC - Open Data Science

APRIL 11, 2023

Though SQL is decades old and is still the “go-to” when it comes to the management of unstructured data, it doesn’t mean that you should neglect your other skills. That’s because by avoiding these common mistakes, aspiring data scientists can give themselves the best chance of success in this exciting and constantly evolving field.

Data Science 90

Data Science Data Scientist AI AI 90

Pickl AI

NOVEMBER 5, 2024

Starting with these basics enables a smoother transition to more specialised topics, such as Data Visualisation, Big Data Analysis , and Artificial Intelligence. Key Features Nine-Course Structure : Covers everything from basic Data Science concepts to advanced SQL and Python. Data Science Course by Pickl.AI

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Pickl AI

SEPTEMBER 5, 2024

Technologies such as machine learning and artificial intelligence are being integrated into Data Analysis, allowing analysts to predict trends and identify potential issues before they arise. Proficiency in tools such as Excel, SQL, and business intelligence platforms can significantly enhance their effectiveness.

Data Analysis 52

Data Analysis Data Analysis Data Quality Analytics 52

Pickl AI

SEPTEMBER 12, 2023

You can work on web development, mobile app development, desktop application development, or even specialize in areas like game development or Artificial Intelligence. They gather, clean, analyze, and visualize data using tools like Excel, SQL, and data visualization software. Why Pursue a Course in Data Science?

Data Science 52

Data Science Data Analyst Machine Learning Machine Learning 52

Pickl AI

AUGUST 9, 2024

Understanding the differences between SQL and NoSQL databases is crucial for students. Visualisation Tools Familiarity with tools such as Tableau, Power BI, and D3.js Future Trends Exploring emerging trends in Big Data, such as the rise of edge computing, quantum computing, and advancements in artificial intelligence.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Alation

JANUARY 17, 2023

A legacy data stack usually refers to the traditional relational database management system (RDBMS), which uses a structured query language (SQL) to store and process data. SQL, however, remains a popular query language for both legacy and modern data stacks. Examples of BI tools include Looker, Power BI , and Tableau.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Pickl AI

SEPTEMBER 5, 2024

You should be skilled in programming languages such as Python, R, or SQL , which are commonly used for data manipulation and analysis. Azure Synapse Analytics Previously known as Azure SQL Data Warehouse , Azure Synapse Analytics offers a limitless analytics service that combines big data and data warehousing.

Azure 52

Azure Data Scientist Data Science Machine Learning 52

ODSC - Open Data Science

JANUARY 7, 2025

While knowing Python, R, and SQL is expected, youll need to go beyond that. Similar to previous years, SQL is still the second most popular skill, as its used for many backend processes and core skills in computer science and programming. Employers arent just looking for people who can program.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40