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. Visualization libraries available in Python such as Matplotlib and Seaborn, and tools like Tableau and Power BI become crucial to telling stories that lead to insights.

Data Science 52

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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.

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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

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Pickl AI

FEBRUARY 29, 2024

Summary: Data Blending in Tableau is helpful in deriving multiple sources to gain comprehensive insights. Through intuitive drag-and-drop functionality, Tableau enables users to blend disparate datasets effortlessly, facilitating holistic data exploration. What is Data Blending in tableau with an example?

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Pickl AI

NOVEMBER 18, 2024

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. Key Features: Hands-on Training: Covers real-world Data Analysis methodologies, SQL , Python, and visualisation.

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Pickl AI

JUNE 12, 2023

Tableau is a data visualisation software helping you to generate graphics-rich reporting and analysing enormous volumes of data. With the help of Tableau, organisations have been able to mine and gather actionable insights from granular sources of data. But What is Tableau for Data Science and what are its advantages and disadvantages?

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Smart Data Collective

JULY 22, 2019

Microsoft Power BI. Microsoft Power BI is a free and powerful business intelligence tool from a world-leading software giant Microsoft. This BI tool allows you to get data and insights in minutes with your smartphone, tablet or laptop. Tableau Desktop. Tableau is not the cheapest tool out there.

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Pickl AI

APRIL 10, 2023

SQL or Structured Query Language has a significant role to play in conducting practical Data Analysis. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources.

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

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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.

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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.

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Dataconomy

JULY 24, 2023

” 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. Tools like Tableau, Matplotlib, Seaborn, or Power BI can be incredibly helpful. This is where data visualization comes in.

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Dataconomy

JULY 28, 2023

Here are some of the best data preprocessing tools of 2023: Microsoft Power BI Tableau Trifacta Talend Toad Data Point Power Query Microsoft Power BI Microsoft Power BI is a comprehensive data preparation tool that allows users to create reports with multiple complex data sources.

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Analytics Vidhya

JULY 11, 2023

With a wealth of expertise and an unwavering passion for harnessing the power of data, Rishabh has emerged as a driving force in leveraging cutting-edge technologies to extract valuable insights.

Data Science 291

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AWS Machine Learning Blog

MAY 30, 2024

The prompts are managed through Lambda functions to use OpenSearch Service and Anthropic Claude 2 on Amazon Bedrock to search the client’s database and generate an appropriate response to the client’s business analysis, including the response in plain English, the reasoning, and the SQL code.

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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.

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Pickl AI

MARCH 3, 2025

Key skills include SQL, data visualization, and business acumen. This blog will comprehensively explore the world of BI, dissecting what it is, the multifaceted responsibilities of a BI Analyst, and how to embark on this rewarding career path. Essential skills include SQL, data visualization, and strong analytical abilities.

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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.

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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.

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Smart Data Collective

MAY 20, 2019

The popular tools, on the other hand, include Power BI, ETL, IBM Db2, and Teradata. SQL programming skills, specific tool experience — Tableau for example — and problem-solving are just a handful of examples. Professionals adept at this skill will be desirable by corporations, individuals and government offices alike.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

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.

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Mlearning.ai

MARCH 15, 2023

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

Data Science 52

Data Science Analytics Analytics Data Analyst 52

phData

JANUARY 18, 2023

Supported by years of experience managing Alteryx Servers for small, medium, and large companies, we understand the recurring pain points and key data points that help form a complete and supported analytics product—all with the importance of presenting that data in an interactive, insightful, and visual way with a Tableau or Power BI Dashboard.

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Pickl AI

JULY 3, 2023

Here are steps you can follow to pursue a career as a BI Developer: Acquire a solid foundation in data and analytics: Start by building a strong understanding of data concepts, relational databases, SQL (Structured Query Language), and data modeling.

Business Intelligence 52

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IBM Journey to AI blog

SEPTEMBER 19, 2023

Additionally, data science requires experience in SQL database coding and an ability to work with unstructured data of various types, such as video, audio, pictures and text. js and Tableau Data science, data analytics and IBM Practicing data science isn’t without its challenges.

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phData

OCTOBER 24, 2024

BI Tool Integration: A new dbt Semantic Layer connection to Power BI is coming soon! Again, for the category, we have two major announcements: Visual Low-Code Editor: An intuitive, visual drag-and-drop interface (currently in private beta) that allows you to create dbt models without writing SQL.

SQL 52

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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.

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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. Data Visualization: Matplotlib, Seaborn, Tableau, etc. Big Data Technologies: Hadoop, Spark, etc.

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Dataconomy

MARCH 24, 2023

A business career path is a constantly evolving one that requires individuals to stay up-to-date with the latest trends and technologies Relevant certifications, such as those offered by Microsoft, IBM, or Tableau, can also help demonstrate expertise in BI tools and techniques.

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Dataconomy

MARCH 24, 2023

A business career path is a constantly evolving one that requires individuals to stay up-to-date with the latest trends and technologies Relevant certifications, such as those offered by Microsoft, IBM, or Tableau, can also help demonstrate expertise in BI tools and techniques.

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Pickl AI

NOVEMBER 5, 2024

Here are some important factors to consider to get the most value out of your chosen course: Course Content and Relevance : Ensure the course covers foundational topics like Data Analysis, statistics, and Machine Learning, along with essential tools such as Python and SQL. Capstone Project : Provides a simulated real-world experience.

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Mlearning.ai

FEBRUARY 9, 2023

Python, R, SQL) code analysis in jupyter notebook, using Markdown notation — File —Download as (pdf, html, docx, etc) document 2. Advanced html and javascript could be used with rmd files to create complex functional documents, like Tableau and Power BI, that explain data analysis. R markdown (.rmd)

Power BI 52

Power BI Data Analysis Data Analysis Tableau 52

Pickl AI

JULY 30, 2024

Skills Develop proficiency in programming languages like Python , R, and SQL. Some of the key tools used for data visualisation include: Tableau Tableau is a data visualisation tool that allows researchers to create interactive dashboards and reports. It is useful for visualising complex data and identifying patterns and trends.

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Cloud Computing Machine Learning Machine Learning Power BI 52

Pickl AI

FEBRUARY 20, 2025

Both roles require strong analytical skills, proficiency in SQL and other programming languages, and the ability to interpret data and provide insights. Data Analysis: Proficiency in data analysis tools and techniques such as SQL, Excel, and data visualisation tools (e.g., Tableau, Power BI).

Data Analyst 52

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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

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Pickl AI

APRIL 18, 2023

Skill development for Data Analysis Technical Knowledge: Python, R, SQL, and SAS are just a few of the programming languages that a data analyst must be proficient in. A data analyst must also be skilled in Excel, Tableau, and other data visualization software. How to Become a Data Analyst with No Experience?

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Data Analyst Data Analysis Data Analysis Computer Science 52

Alation

JANUARY 17, 2023

Later, BI tools such as Chartio, Looker, and Tableau arrived on the data scene. 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. Examples of BI tools include Looker, Power BI , and Tableau.

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