Pickl AI

NOVEMBER 18, 2024

Industry-recognised certifications, like IBM and AWS, provide credibility. Software like Microsoft Excel and SQL helps them manipulate and query data efficiently. They use data visualisation tools like Tableau and Power BI to create compelling reports. Who is a Data Analyst? Flexible Learning: Self-paced with 26.5

Data Analyst 110

Data Analyst SQL Python AWS 110

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. The responsibilities of this phase can be handled with traditional databases (MySQL, PostgreSQL), cloud storage (AWS S3, Google Cloud Storage), and big data frameworks (Hadoop, Apache Spark).

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

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. It is therefore hardly surprising that some process mining tools are actually just a plugin for Power BI, Tableau or Qlik. Click to enlarge!

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

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. Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud. R : Often used for statistical analysis and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

MARCH 19, 2025

Tools like Python, SQL, Apache Spark, and Snowflake help engineers automate workflows and improve efficiency. Python, SQL, and Apache Spark are essential for data engineering workflows. SQL Structured Query Language ( SQL ) is a fundamental skill for data engineers.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Women in Big Data

DECEMBER 9, 2024

There is a plethora of BI tools available in the market today, with new ones being added yearly. Through a comparative analysis of some of the leading BI tools: Google Looker, Microsoft Power BI, Tableau and Qlik Sense, discover which BI solution best fits your organization’s data analytics needs to empower informed decision-making.

Big Data 52

Big Data Big Data 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

Mlearning.ai

MARCH 15, 2023

Familiarity with Databases; SQL for structured data, and NOSQL for unstructured data. Experience with cloud platforms like; AWS, AZURE, etc. Experience with visualization tools like; Tableau and Power BI. High proficiency in visualization tools like; Tableau, Google Studio, and Power BI.

Data Science 52

Data Science Analytics Analytics Data Analyst 52

phData

OCTOBER 24, 2024

dbt is adding support for more platforms and semantic layer connections: New Integrations: dbt is welcoming AWS Athena (GA) and Teradata (Preview) to the family! BI Tool Integration: A new dbt Semantic Layer connection to Power BI is coming soon! Additionally, you can switch between code and visuals as you please.

SQL 52

SQL Tableau Power BI Database 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. Cloud Platforms: AWS, Azure, Google Cloud, etc. ETL Tools: Apache NiFi, Talend, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 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. Familiarise yourself with data analysis tools such as RStudio, Jupyter Notebook, and Excel.

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

phData

DECEMBER 4, 2023

The software you might use OAuth with includes: Tableau Power BI Sigma Computing If so, you will need an OAuth provider like Okta, Microsoft Azure AD, Ping Identity PingFederate, or a Custom OAuth 2.0 Copy Into When loading data into Snowflake, the very first and most important rule to follow is: do not load data with SQL inserts!

Clustering 98

Clustering Database SQL Data Pipeline 98

Pickl AI

DECEMBER 4, 2024

Grasp the Fundamentals of Data Analysis and Management Build a strong foundation in Data Analysis by learning data manipulation techniques using SQL and Excel. Focus on Python and R for Data Analysis, along with SQL for database management. This foundational knowledge is essential for any Data Science project.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

ODSC - Open Data Science

JANUARY 7, 2025

While knowing Python, R, and SQL is expected, youll need to go beyond that. From development environments like Jupyter Notebooks to robust cloud-hosted solutions such as AWS SageMaker, proficiency in these systems is critical. Employers arent just looking for people who can program.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Pickl AI

APRIL 2, 2024

SQL (Structured Query Language): Language for managing and querying relational databases. Tableau/Power BI: Visualization tools for creating interactive and informative data visualizations. Cloud Platforms (AWS, Azure, Google Cloud): Infrastructure for scalable and cost-effective data storage and analysis.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Data Science Blog

SEPTEMBER 3, 2024

Process Mining wurde kürzlich in die Power Automate Plattform und in Power BI integriert. Process Mining Tools, die Business Intelligence Software erweitern Und dann gibt es noch diejenigen Anbieter, die bestehende BI Tools mit Erweiterungen zum Process Mining Analysewerkzeug machen. nicht mehr weiterentwickelt wird.

Data Science 130

Data Science Power BI Azure Data Warehouse 130

Flipboard

JUNE 16, 2025

SQL and MongoDB SQL remains critical for structured data management, while MongoDB caters to NoSQL database needs, which is essential for modern and flexible data applications. Data Analysis and Transition to Machine Learning: Skills: Python, SQL, Excel, Tableau and Power BI are relevant skills for entry-level data analysis roles.

Python 50

Python AWS Machine Learning Machine Learning 50