Data Science Dojo

FEBRUARY 9, 2023

Power BI is a powerful data visualization tool that helps them turn raw data into meaningful insights and actionable decisions. In this blog, we will explore the role of data analysts and how they use Power BI to extract insights from data and drive business success.

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Power BI Data Analyst Data Visualization Data Analysis 221

Analytics Vidhya

MAY 21, 2023

This is precisely what happens in data analytics. People equipped with the […] The post 10 Best Data Analytics Projects appeared first on Analytics Vidhya. With something so profound in daily life, there should be an entire domain handling and utilizing it.

Analytics 357

Analytics Analytics Power BI Hadoop 357

Data Science Dojo

MAY 22, 2023

In this article, we’ll explore the art of data visualization and how it can be used to tell compelling stories with business analytics. Data visualization in business analytics Importance of data visualization in business analytics Data visualization is the process of presenting data in a graphical or pictorial format.

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Data Visualization Analytics Analytics Power BI 337

Data Science Dojo

APRIL 29, 2025

Whether youre passionate about football or data, this journey highlights how smart analytics can increase performance. In football analytics, this could mean pulling data from several sources, including event and player performance data. Defining the Problem The starting point for any successful data workflow is problem definition.

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Power BI Analytics Analytics EDA 195

Analytics Vidhya

JULY 11, 2023

Introduction Introducing Rishabh Dhingra, a dynamic professional making significant strides in Analytics and Data Science within the prestigious realm of Google. Through his innovative mindset […] The post Journeying Through Google’s Analytics and Data Science Domain appeared first on Analytics Vidhya.

Data Science 291

Data Science Analytics Analytics Power BI 291

Data Science Dojo

APRIL 27, 2023

This blog lists down-trending data science, analytics, and engineering GitHub repositories that can help you with learning data science to build your own portfolio.  What is GitHub? GitHub is a powerful platform for data scientists, data analysts, data engineers, Python and R developers, and more.

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Data Science Analytics Analytics Power BI 195

Data Science Dojo

OCTOBER 31, 2024

Skills and Training Familiarity with ethical frameworks like the IEEE’s Ethically Aligned Design, combined with strong analytical and compliance skills, is essential. Strong analytical skills and the ability to work with large datasets are critical, as is familiarity with data modeling and ETL processes.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Pickl AI

DECEMBER 25, 2024

Summary: Business Analytics focuses on interpreting historical data for strategic decisions, while Data Science emphasizes predictive modeling and AI. Introduction In today’s data-driven world, businesses increasingly rely on analytics and insights to drive decisions and gain a competitive edge. What is Business Analytics?

Data Science 52

Data Science Analytics Analytics Data Scientist 52

Analytics Vidhya

SEPTEMBER 30, 2021

This article was published as a part of the Data Science Blogathon Introduction I have been associated with Analytics Vidya from the 3rd edition of Blogathon. The post Guide For Data Analysis: From Data Extraction to Dashboard appeared first on Analytics Vidhya.

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Data Analysis Data Analysis Data Science Analytics 400

Analytics Vidhya

DECEMBER 19, 2022

So, to provide our community with the knowledge they need to master these domains, Analytics Vidhya has launched its DataHour sessions. appeared first on Analytics Vidhya. These sessions provide not only theoretical knowledge but also cover practical demonstrations of the […].

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Analytics Vidhya

APRIL 11, 2023

Introduction Analytics Vidhya DataHour is designed to provide valuable insights and knowledge to individuals looking to build a career in the data-tech industry. This blog post introduces a series of upcoming […] The post Unleash Your Data Insights: Learn from the Experts in Our DataHour Sessions appeared first on Analytics Vidhya.

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Artificial Intelligence Artificial Intelligence Data Science Machine Learning 306

Analytics Vidhya

MAY 27, 2021

appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Natural Language Processing (NLP) is a subpart of Artificial Intelligence. The post Interesting NLP Use Cases Every Data Science Enthusiast should know!

Data Science 340

Data Science Natural Language Processing Artificial Intelligence Artificial Intelligence 340

Smart Data Collective

MARCH 9, 2021

Mito is the powerhouse of your data analytics workflow. We built Mito to be the first analytics tool that’s easy to use, super powerful, and designed to keep your workflow yours forever. When it comes to data analytics , not much is easier to use than a spreadsheet. Great Power. Or something. Easy Smeasy.

Data Science 138

Data Science Power BI EDA Python 138

phData

OCTOBER 11, 2023

Among these tools, KNIME and Power BI have emerged as key players, catering to the demands of this evolving landscape. KNIME Analytics Platform is an open-source data analytics tool that enables users to manage, process, and analyze data. NOTE: This Integration doesn’t work for Power BI Desktop.

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Power BI Data Preparation Analytics Analytics 45

Pickl AI

JUNE 5, 2025

The role demands both technical skills and business acumen, as Indian companies increasingly seek professionals who can align analytics with strategic goals. Data Visualization: Ability to create intuitive visualizations using Matplotlib, Seaborn, Tableau, or Power BI to convey insights clearly.

Data Scientist 52

Data Scientist Data Science Power BI Machine Learning 52

Data Science Dojo

FEBRUARY 23, 2024

These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. GPTs for data science are useful in enhancing the accuracy and efficiency of complex analytical processes. It is capable of writing and running Python codes. What is OpenAI’s GPT Store?

Data Science 363

Data Science Data Analysis Data Analysis Machine Learning 363

Mlearning.ai

JULY 7, 2023

The problem may occur when you want to import an Excel file in SharePoint to Power BI. After that, paste the copied path in the URL in Power BI. Python in Power BI: [link] Power BI Tip — How to custom sort categorical/text columns in a bar chart? You should see the .xlsx?web=1

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Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Data processing is another skill vital to staying relevant in the analytics field. For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Mlearning.ai

AUGUST 25, 2023

When you’re making bar charts or column charts in Power BI (a tool for showing data visually), sometimes you want to add a special bar. So, in simpler terms, this message talks about adding a total bar to your charts in Power BI. Submission Suggestions Power BI Tip: Create a bar chart with a total bar.

Power BI 52

Power BI Clustering Data Visualization Data Science 52

DrivenData Labs

MARCH 26, 2024

Most submissions utilized popular Python libraries like geopandas , rasterio , xarray , and matplotlib. QGIS, Microsoft's Power BI, Tableau, and Jupyter notebooks also facilitated many interesting visualizations, particularly for solvers with less programming experience. Katso is based in Kweneng District, Botswana.

Power BI 264

Power BI Data Scientist Python Machine Learning 264

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

Analytics Vidhya

JUNE 18, 2021

The post Embed PowerBI report in Jupyter Notebook using “powerbiclient” appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon 1. INTRODUCTION Data visualization is one of the important aspects of.

Data Visualization 235

Data Visualization Data Science Analytics Analytics 235

Pickl AI

NOVEMBER 18, 2024

Choosing the right certification enhances career growth and opens doors to better opportunities in Data Analytics. The global Data Analytics market, valued at USD 41.05 Essential Skills for Data Analysts Strong analytical skills top the list of requirements for a Data Analyst.

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Data Analyst SQL Python AWS 110

Data Science Dojo

MAY 18, 2023

Explore, analyze, and visualize data with our Introduction to Power BI training & make data-driven decisions. 2. Take advantage of this opportunity to learn how to harness the power of deep learning for improved customer support at scale. Want to dive deep into Python?

Data Science 195

Data Science AI AI Deep Learning 195

Mlearning.ai

MARCH 15, 2023

This article will serve as an ultimate guide to choosing between Data Science and Data Analytics. Some individuals are confused about the right path to choose between the two lucrative careers —  Data Science and Data Analytics. Technical requirements for a Data Scientist High expertise in programming either in R or Python, or both.

Data Science 52

Data Science Analytics Analytics Data Analyst 52

Data Science Dojo

FEBRUARY 23, 2024

These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. GPTs for data science are useful in enhancing the accuracy and efficiency of complex analytical processes. It is capable of writing and running Python codes. What is OpenAI’s GPT Store?

Data Science 195

Data Science Data Analysis Data Analysis ML 195

Data Science Dojo

FEBRUARY 23, 2024

Data science GPTs are useful in enhancing the accuracy and efficiency of complex analytical processes. Moreover, AI-powered tools can uncover new data insights and correlations that can go unnoticed otherwise. It is capable of writing and running Python codes. This custom GPT is created by Open AI’s ChatGPT.

Data Science 195

Data Science Data Analysis Data Analysis Data Analyst 195

ODSC - Open Data Science

APRIL 3, 2023

As the sibling of data science, data analytics is still a hot field that garners significant interest. We looked at over 25,000 job descriptions, and these are the data analytics platforms, tools, and skills that employers are looking for in 2023.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Data Science Dojo

JULY 3, 2024

They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization. Here’s a list of key skills that are typically covered in a good data science bootcamp: Programming Languages : Python : Widely used for its simplicity and extensive libraries for data analysis and machine learning.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

Pickl AI

MAY 29, 2024

In this blog post, we’ll explore some of these advanced techniques and how they can be used to enhance analytical capabilities. Tools like Tableau, Power BI, and D3.js js offer robust capabilities for creating interactive visualizations that provide a more immersive analytics experience.

Data Visualization 52

Data Visualization Analytics Analytics Power BI 52

Pickl AI

FEBRUARY 19, 2025

Summary: The difference between Data Science and Data Analytics lies in their approachData Science uses AI and Machine Learning for predictions, while Data Analytics focuses on analysing past trends. Data Science requires advanced coding, whereas Data Analytics relies on statistical methods. What is Data Analytics?

Data Science 52

Data Science Analytics Analytics Machine Learning 52

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. Python Python is one of the most popular programming languages for data engineering.

Data Engineering 52

Data Engineering Data Engineering Data Engineering Data Engineer 52

IBM Journey to AI blog

OCTOBER 2, 2024

They are designed to be readily used by business executives, business analysts, data analysts and other data consumers for analytics, AI and other critical data workloads. The consumer can create a “Python script” connection in Microsoft Power BI and start creating BI reports for further BI analysis on data products.

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Business Intelligence Business Intelligence Power BI Data Quality 58

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

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Pickl AI

JANUARY 12, 2025

Skills gap : These strategies rely on data analytics, artificial intelligence tools, and machine learning expertise. To confirm seamless integration, you can use tools like Apache Hadoop, Microsoft Power BI, or Snowflake to process structured data and Elasticsearch or AWS for unstructured data.

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Artificial Intelligence Artificial Intelligence AI AI 52

Dataconomy

AUGUST 24, 2023

The BI landscape continues to evolve, with innovative projects taking center stage. The year 2023 brings forth a multitude of trends that will shape the BI. From augmented analytics and AI-driven insights to the convergence of BI and machine learning, these trends are poised to redefine how organizations derive value from their data.

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