Data Science Dojo

OCTOBER 31, 2024

Applied Machine Learning Scientist Description : Applied ML Scientists focus on translating algorithms into scalable, real-world applications. Demand for applied ML scientists remains high, as more companies focus on AI-driven solutions for scalability.

Data Science 195

Data Science Data Scientist Machine Learning Machine Learning 195

Data Science Dojo

JULY 5, 2023

Machine Learning (ML) is a powerful tool that can be used to solve a wide variety of problems. Getting your ML model ready for action: This stage involves building and training a machine learning model using efficient machine learning algorithms. However, building and deploying a machine-learning model is not a simple task.

Machine Learning 195

Machine Learning Machine Learning EDA ML 195

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

Power BI 52

Power BI Data Science ML ML 52

Data Science 101

JANUARY 10, 2020

Data Drift Monitoring for Azure ML Datasets Azure ML now provides monitoring for when your data changes (called data drift). Upcoming Online ML/AI Conference, AWS Innovate A free, online conference hosted by Amazon Web Services. Courses & Learning. It focuses on using AWS products to solve data science problems.

Data Science 78

Data Science Power BI Cloud Data Exploratory Data Analysis 78

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

Dataconomy

MARCH 17, 2025

By harnessing the power of machine learning (ML) and natural language processing (NLP), businesses can streamline their data analysis processes and make more informed decisions. Augmented analytics is the integration of ML and NLP technologies aimed at automating several aspects of data preparation and analysis.

Augmented Analytics 91

Augmented Analytics Analytics Analytics Natural Language Processing 91

Data Science Dojo

AUGUST 16, 2024

Microsoft Power BI with Copilot Microsoft Power BI has integrated genAI through its Copilot feature , transforming how users interact with data. The Copilot in Power BI allows users to generate reports, visualizations, and insights using natural language queries, making advanced analytics accessible to a broader audience.

Analytics 195

Analytics Analytics Power BI AI 195

Data Science 101

MAY 20, 2019

The exam can be broken down into 4 components: Machine Learning, Azure ML Studio, Azure Products, and Python. Azure ML Studio. Azure ML Studio is a major focus of the exam, so you need to be fluent in how to use it. R Power BI Publishing Azure ML models. Machine Learning.

Data Science 111

Data Science Azure Data Scientist Machine Learning 111

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. Power BI Wizard It is a popular business intelligence tool that empowers you to explore data. GPTs for Data science are the next step towards innovation in various data-related tasks.

Data Science 195

Data Science Data Analysis Data Analysis Machine Learning 195

Data Science Dojo

FEBRUARY 23, 2024

Power BI Wizard It is a popular business intelligence tool that empowers you to explore data. It is capable of understanding complex relationships in data and creating visual outputs in the form of flowcharts, charts, and sequences. Other outputs include database diagrams and code visualizations.

Data Science 195

Data Science Data Analysis Data Analysis Data Analyst 195

Pickl AI

DECEMBER 25, 2024

Business Analytics requires business acumen; Data Science demands technical expertise in coding and ML. Dashboards, such as those built using Tableau or Power BI , provide real-time visualizations that help track key performance indicators (KPIs). Both fields offer roles across industries like finance, retail, and healthcare.

Data Science 52

Data Science Analytics Analytics Data Scientist 52

How to Learn Machine Learning

APRIL 26, 2025

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 Visualization and Interpretation To make the data understandable to stakeholders, visualizations are created in the form of charts, graphs, and dashboards.

Data Science 52

Data Science Data Analyst Data Scientist Machine Learning 52

Data Science Dojo

MAY 18, 2023

Explore, analyze, and visualize data with our Introduction to Power BI training & make data-driven decisions. 2. Additionally, how ML Ops is particularly helpful for large-scale systems like ad auctions, where high data volume and velocity can pose unique challenges.

Data Science 195

Data Science AI AI SQL 195

Pickl AI

DECEMBER 26, 2024

Managed services like AWS Lambda and Azure Data Factory streamline data pipeline creation, while pre-built ML models in GCPs AI Hub reduce development time. Visualisation tools like Power BI (Azure) and Looker (GCP) offer intuitive reporting interfaces, while AWS integrates Tableau for diverse visualisation needs.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

ODSC - Open Data Science

MARCH 12, 2025

20212024: Interest declined as deep learning and pre-trained models took over, automating many tasks previously handled by classical ML techniques. This shift suggests that while traditional ML is still relevant, its role is now more supportive rather than cutting-edge.

Data Science 52

Data Science Machine Learning Machine Learning Data Engineer 52

Smart Data Collective

JANUARY 27, 2020

And as the next step, the data is sent to such leading-edge BI tools, as Google Data Studio, Power BI, Oracle BI, Tableau, etc., ML algorithms analyze dozens of metrics and connections between them and consequently stop fraudulent traffic. where data is visualized in multiple easy-to-understand graphs and reports.

AI 136

AI AI Business Intelligence Business Intelligence 136

AWS Machine Learning Blog

MARCH 8, 2023

Working with renewable power assets requires predictive and responsive digital solutions, because renewable energy generation and electricity market conditions are continuously changing. MPII is using a machine learning (ML) bid optimization engine to inform upstream decision-making processes in power asset management and trading.

AWS 102

AWS Machine Learning Machine Learning Analytics 102

Dataconomy

AUGUST 24, 2023

Business intelligence projects use visualizations like charts and graphs to make complex data more understandable ( Image credit ) Business intelligence projects to watch out for BI, AI, and ML technologies now offer sophisticated and effective solutions to many modern problems.

Business Intelligence 172

Business Intelligence Business Intelligence Data Analysis Data Analysis 172

Mlearning.ai

DECEMBER 4, 2023

Leverage Tools for Enhanced Data Analysis Evolve beyond basic tools like Excel by exploring advanced platforms such as Power BI, Tableau, or even Python for more intricate analyses. Power BI and Tableau can create interactive dashboards that users can easily play with data.

Power BI 52

Power BI Data Analysis Data Analysis Tableau 52

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

Dataconomy

JULY 24, 2023

Tools like Tableau, Matplotlib, Seaborn, or Power BI can be incredibly helpful. This involves collecting, cleaning, and analyzing large data sets to identify patterns, trends, and relationships that might otherwise be hidden. They use these insights to predict future trends, optimize operations, and influence strategic decisions.

Data Scientist 172

Data Scientist Data Science Data Analyst Machine Learning 172

Pickl AI

JULY 10, 2024

Machine Learning (ML) is a subset of AI that involves using statistical techniques to enable machines to improve their performance on tasks through experience. On the other hand, ML focuses specifically on developing algorithms that allow machines to learn and make predictions or decisions based on data.

Machine Learning 52

Machine Learning Machine Learning Deep Learning Deep Learning 52

Mlearning.ai

MARCH 15, 2023

Experience with visualization tools like; Tableau and Power BI. High proficiency in visualization tools like; Tableau, Google Studio, and Power BI. Knowledge of big data platforms like; Hadoop and Apache Spark. Basic programming knowledge in R or Python.

Data Science 52

Data Science Analytics Analytics Data Analyst 52

ODSC - Open Data Science

APRIL 6, 2023

One set of tools that are becoming more important in our data-driven world is BI tools. Think of Tableau, Power BI, and QlikView. This allows for it to be integrated with many different tools and technologies to improve data management and analysis workflows.

SQL 98

SQL Data Scientist Database Data Science 98

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

FEBRUARY 22, 2023

This could involve using tools like Tableau or Power BI to create visualizations and dashboards. This could involve using tools like Apache Spark or Apache Flink to perform data transformations, analytics, and machine learning. Analyze the data : After processing the data, you need to analyze it to gain insights and make decisions.

Big Data 52

Big Data Big Data Power BI Hadoop 52

Mlearning.ai

AUGUST 10, 2023

The project I did to land my business intelligence internship — CAR BRAND SEARCH ETL PROCESS WITH PYTHON, POSTGRESQL & POWER BI 1. Reporting Data Finally, we will connect pgadmin4 and power bi to make an interactive dashboard. INTRODUCTION Have you ever wanted to buy your own car? Figure 5: pgAdmin website 2.4.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Power BI 52

phData

MARCH 27, 2024

The SnowPro Advanced Data Scientist Certification is a test targeted at Data Scientists and AI/ML Engineers to appraise knowledge and skills used in the application of data science principles, tools, and methodologies using Snowflake.

Data Analyst 52

Data Analyst Data Engineering Data Engineer Data Engineering 52

Mlearning.ai

FEBRUARY 9, 2023

Users like to see the data directly and manipulate the data using published programs like Tableau, Power BI, or whatever URL site you select (it could be a google sheet or a github repository transformed into a github page). WARNING that some code snippets MIGHT not work ? It was very easy to setup!

Power BI 52

Power BI Data Analysis Data Analysis Tableau 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. Learn to use tools like Tableau, Power BI, or Matplotlib to create compelling visual representations of data.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

JANUARY 31, 2023

In effect, the Certified Data Science professional programme includes topics like Data Analysis and Visualisation, ML models, Predictive models , NLP etc. Significantly, the course curriculum includes topics like Tableau, Machine Learning , Python and Python Libraries, NLP, Power BI, Data Visualisation and others.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Mlearning.ai

MAY 3, 2023

ML/AI Enthusiasts, and Learners Citizen Data Scientists who prefer a low code solution for quick testing. I have Lead & Managed a team of data analysts, business analysts, data engineers, ML engineers, DevOps engineers, and Data Scientists. Who can try pychatgpt_ui? Students and Teachers.

Python 52

Python Natural Language Processing Data Scientist Citizen Data Scientist 52

ODSC - Open Data Science

JANUARY 7, 2025

As MLOps become more relevant to ML demand for strong software architecture skills will increase aswell. Machine Learning As machine learning is one of the most notable disciplines under data science, most employers are looking to build a team to work on ML fundamentals like algorithms, automation, and so on.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

Mlearning.ai

APRIL 29, 2023

Before we dive right in, you’d totally love to check out the deliverables that came with this project (a PowerPoint presentation and a very insightful Power BI dashboard). It was one of the most challenging projects I have ever worked on, and I loved every bit of it. See the links below! Now, let’s get started. ?

SQL 52

SQL Power BI Cloud Data Data Analysis 52

Pickl AI

APRIL 28, 2023

Here is the tabular representation of the same: Technical Skills Non-technical Skills Programming Languages: Python, SQL, R Good written and oral communication Data Analysis: Pandas, Matplotlib, Numpy, Seaborn Ability to work in a team ML Algorithms: Regression Classification, Decision Trees, Regression Analysis Problem-solving capability Big Data: (..)

Data Scientist 52

Data Scientist Data Science Hypothesis Testing Decision Trees 52

phData

APRIL 5, 2024

By harnessing the advancements of LLMs, users can now extract key information buried within large documents without any code or ML knowledge required. Before diving into the technology that powers Document AI, let’s go over some of the utility that extracting your information offers. Why is Document AI Important?

AI 52

AI AI Natural Language Processing Tableau 52

Mlearning.ai

JULY 11, 2023

Moreover, tools like Power BI and Tableau can produce remarkable results. However, it is important to understand that the learning process typically involves performing tasks manually to strengthen your foundational knowledge. These tools can be employed later on to automate tasks and create a smoother workflow.

Data Science 40

Data Science Exploratory Data Analysis Azure Power BI 40