Data Science Dojo

AUGUST 16, 2024

Below is a more detailed exploration of notable tools that leverage generative AI for data analytics, diving into their core mechanisms, features, and applications. Generative AI for Data Analytics – Top 7 Tools to Leverage 1. This capability automates much of the manual work traditionally involved in data analytics.

Analytics 195

Analytics Analytics Power BI AI 195

Data Science Dojo

FEBRUARY 23, 2024

GPTs for Data science are the next step towards innovation in various data-related tasks. These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. However, our focus lies on exploring the GPTs for data science available on the platform.

Data Science 195

Data Science Data Analysis Data Analysis Machine Learning 195

Mlearning.ai

JULY 7, 2023

The problem may occur when you want to import an Excel file in SharePoint to Power BI. When you try to get data via the Excel workbook, you have to go to the file location. Get data via the Excel workbook There is another way that I usually use. After that, paste the copied path in the URL in Power BI.

Power BI 52

Power BI Data Science ML ML 52

Data Science Dojo

FEBRUARY 23, 2024

A list of best data science GPTs in the GPT store From the GPT store of OpenAI , below is a list of the 10 most popular data science GPTs for you to explore. Data Analyst Data Analyst is a featured GPT in the store that specializes in data analysis and visualization.

Data Science 195

Data Science Data Analysis Data Analysis Data Analyst 195

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. Please clap and follow me for more data science articles.

Power BI 52

Power BI Clustering Data Visualization Data Science 52

Data Science Dojo

MAY 18, 2023

Data Storytelling in Action: This panel will discuss the importance of data visualization in storytelling in different industries, different visualization tools, tips on improving one’s visualization skills, personal experiences, breakthroughs, pressures, and frustrations as well as successes and failures.

Data Science 195

Data Science AI AI SQL 195

Dataconomy

AUGUST 24, 2023

Business intelligence projects merge data from various sources for a comprehensive view ( Image credit ) Good business intelligence projects have a lot in common One of the cornerstones of a successful business intelligence (BI) implementation lies in the availability and utilization of cutting-edge BI tools such as Microsoft’s Fabric.

Business Intelligence 172

Business Intelligence Business Intelligence Data Analysis Data Analysis 172

Smart Data Collective

JANUARY 27, 2020

In AI it refers to computer intelligence, while in BI it is about smart decision-making in business influenced by data analysis and visualization. In this way, users get all their data on their advertising campaigns in one place. where data is visualized in multiple easy-to-understand graphs and reports.

AI 136

AI AI Business Intelligence Business Intelligence 136

Pickl AI

DECEMBER 26, 2024

Key Features Tailored for Data Science These platforms offer specialised features to enhance productivity. 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. Here are three transformative trends driving this shift.

Data Science 52

Data Science Cloud Computing Machine Learning Machine Learning 52

ODSC - Open Data Science

APRIL 6, 2023

You can perform data analysis within SQL Though mentioned in the first example, let’s expand on this a bit more. SQL allows for some pretty hefty and easy ad-hoc data analysis for the data professional on the go. One set of tools that are becoming more important in our data-driven world is BI tools.

SQL 98

SQL Data Scientist Database Data Science 98

Mlearning.ai

DECEMBER 4, 2023

Precision in questioning sets the stage for meaningful and impactful data analysis. Harness the Power of Visuals Exploit the picture superiority effect by incorporating visuals into your data presentations. 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

Summary: Operations Analyst job in 2025 are integral to improving efficiency, data analysis, and process optimisation. With career growth opportunities and a focus on data-driven decisions, this job remains central to organisational success. Expertise in tools like Power BI, SQL, and Python is crucial.

Power BI 52

Power BI Machine Learning Machine Learning Tableau 52

ODSC - Open Data Science

APRIL 3, 2023

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. Excel is the second most sought-after tool in our chart as you’ll see below as it’s still an industry standard for data management and analytics.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Pickl AI

DECEMBER 4, 2024

This explosive growth is driven by the increasing volume of data generated daily, with estimates suggesting that by 2025, there will be around 181 zettabytes of data created globally. Understand data structures and explore data warehousing concepts to efficiently manage and retrieve large datasets.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Mlearning.ai

FEBRUARY 9, 2023

I find that R markdown is most useful for making reports or documents with your analysis. The most common ways to create a written report with data analysis notebooks are: 1. Python, R, SQL) code analysis in jupyter notebook, using Markdown notation — File —Download as (pdf, html, docx, etc) document 2. R markdown (.rmd)

Power BI 52

Power BI Data Analysis Data Analysis Tableau 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. Load Data After the transform process we will load that “final dataframe” into pgadmin4 , pgAdmin is an open-source administration and development platform for PostgreSQL.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Power BI 52

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

phData

MARCH 27, 2024

The SnowPro Advanced Data Analyst Certification tests the advanced Snowflake knowledge and skills of Data Analysts, ELT Developers, and BI Specialists. Many videos in other playlists explore the integration of Snowflake with various services such as Databricks, SAP, Power BI, and leveraging ML/AI in a Snowflake environment.

Data Analyst 52

Data Analyst Data Engineering Data Engineering Data Engineering 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. Additionally, it is a Data Analytics course with placement guarantee, helping you develop industry-relevant skills.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 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. The main goal of Data Analytics is to improve decision-making.

Data Science 52

Data Science Analytics Analytics Machine Learning 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

Mlearning.ai

JULY 11, 2023

For instance, feature engineering and exploratory data analysis (EDA) often require the use of visualization libraries like Matplotlib and Seaborn. Moreover, tools like Power BI and Tableau can produce remarkable results.

Data Science 40

Data Science Exploratory Data Analysis Azure Power BI 40

Mlearning.ai

APRIL 29, 2023

Transaction Data Analysis—Case Study #4 by Data with Danny As a huge FinTech enthusiast, I found myself totally drawn to this project. 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).

SQL 52

SQL Power BI Cloud Data Data Analysis 52

Pickl AI

SEPTEMBER 12, 2023

Besides, there are free ML courses and ChatGPT courses that will help you keep up with the trends in the industry. Look for courses that include statistics, Machine Learning, Data Analysis, and relevant programming languages (e.g., Python, R).

Data Science 52

Data Science Data Analyst Machine Learning Machine Learning 52