Smart Data Collective

MARCH 9, 2021

When it comes to data analytics , not much is easier to use than a spreadsheet. For this reason, spreadsheets have been the predominant tool when it comes to basic data analysis for the past 20 years. If you work with data, you’ve done work in Excel or Google Sheets. Easy, Powerful, and Flexible. Easy Smeasy.

Data Science 138

Data Science Power BI EDA Python 138

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

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

Pickl AI

APRIL 3, 2025

Summary: Data Analysis focuses on extracting meaningful insights from raw data using statistical and analytical methods, while data visualization transforms these insights into visual formats like graphs and charts for better comprehension. Is Data Analysis just about crunching numbers?

Data Analysis 52

Data Analysis Data Analysis Data Visualization EDA 52

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 SQL 195

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. Programming languages such as Python and R are essential for advanced analytics. Flexible Payment: Pay per course or for the full program.

Data Analyst 110

Data Analyst SQL Python AWS 110

Data Science Dojo

FEBRUARY 23, 2024

A wide range of applications deals with a variety of tasks, ranging from writing, E-learning, and SEO to medical advice, marketing, data analysis, and so much more. However, our focus lies on exploring the GPTs for data science available on the platform. You can upload your data files to this GPT that it can then analyze.

Data Science 195

Data Science Data Analysis Data Analysis Machine Learning 195

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

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

Pickl AI

FEBRUARY 6, 2025

Summary: Data Analysis and interpretation work together to extract insights from raw data. Analysis finds patterns, while interpretation explains their meaning in real life. Overcoming challenges like data quality and bias improves accuracy, helping businesses and researchers make data-driven choices with confidence.

Data Analysis 52

Data Analysis Data Analysis Data Quality Power BI 52

Towards AI

NOVEMBER 15, 2023

A data science book: Consider gifting a popular and highly recommended book on data science, such as "Python for Data Analysis" by Wes McKinney or "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman. content)>>>1.

Data Scientist 131

Data Scientist Data Science Data Visualization Data Analysis 131

ODSC - Open Data Science

APRIL 6, 2023

For budding data scientists and data analysts, there are mountains of information about why you should learn R over Python and the other way around. 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.

SQL 98

SQL Data Scientist Database Data Science 98

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

Data Science Dojo

JULY 3, 2024

Data science bootcamps are intensive short-term educational programs designed to equip individuals with the skills needed to enter or advance in the field of data science. They cover a wide range of topics, ranging from Python, R, and statistics to machine learning and data visualization.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

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.

Data Science 328

Data Science ML ML Analytics 328

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. These sessions cover a wide range of topics, from the fields of artificial intelligence, and machine learning, and various topics related to data science.

Artificial Intelligence 306

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 306

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

MARCH 3, 2025

Here’s a glimpse into their typical activities Data Acquisition and Cleansing Collecting data from diverse sources, including databases, spreadsheets, and cloud platforms. Ensuring data accuracy and consistency through cleansing and validation processes. Developing data models to support analysis and reporting.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Pickl AI

JANUARY 12, 2025

Introduction Are you struggling to decide between data-driven practices and AI-driven strategies for your business? Besides, there is a balance between the precision of traditional data analysis and the innovative potential of explainable artificial intelligence.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Pickl AI

NOVEMBER 5, 2024

The global Data Science Platform Market was valued at $95.3 To meet this demand, free Data Science courses offer accessible entry points for learners worldwide. With these courses, anyone can develop essential skills in Python, Machine Learning, and Data Visualisation without financial barriers.

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Pickl AI

APRIL 18, 2023

Data Analysis is the process of collecting, cleaning, transforming, and modeling data to extract useful information and insights. In today’s data-driven world, data analysis has become an essential skill for organizations across industries to make informed decisions and improve business outcomes.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Computer Science 52

Pickl AI

MAY 29, 2024

Significance of Data Visualization Data visualization plays a crucial role in data analysis and decision-making for several reasons. It is not just about making data look pretty; it’s about unlocking the full potential of data to drive understanding, communication, and action.

Data Visualization 52

Data Visualization Analytics Analytics Power BI 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

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. Section 3: The technical section for the project where Python and pgAdmin4 will be used. Section 4: Reporting data for the project insights. Finally, it will show us the data.

Business Intelligence 52

Business Intelligence Business Intelligence ETL Power BI 52

Dataconomy

MARCH 24, 2023

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving. How to become a blockchain maestro?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

BI involves using data mining, reporting, and querying techniques to identify key business metrics and KPIs that can help companies make informed decisions. A career path in BI can be a lucrative and rewarding choice for those with interest in data analysis and problem-solving. How to become a blockchain maestro?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Pickl AI

JULY 28, 2023

A well-organized portfolio demonstrates your ability to work with data and draw valuable insights. Here are the steps to build an impressive data analyst portfolio: Select Relevant Projects: Choose a variety of data analysis projects that highlight your skills and cover different aspects of data analysis.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Data Visualization 52

Pickl AI

APRIL 26, 2024

Top 50+ Interview Questions for Data Analysts Technical Questions SQL Queries What is SQL, and why is it necessary for data analysis? SQL stands for Structured Query Language, essential for querying and manipulating data stored in relational databases. How would you segment customers based on their purchasing behaviour?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Pickl AI

JUNE 12, 2023

How Professionals Can Use Tableau for Data Science? Tableau is a powerful data visualization and business intelligence tool that can be effectively used by professionals in the field of data science. This helps in understanding the underlying patterns, trends, and relationships within the data.

Tableau 52

Tableau Data Science Data Scientist Data Analysis 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

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Role of Data Scientists Data Scientists are the architects of data analysis.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Pickl AI

APRIL 10, 2023

Data Analysis is one of the most crucial tasks for business organisations today. SQL or Structured Query Language has a significant role to play in conducting practical Data Analysis. Data Analysts need deeper knowledge on SQL to understand relational databases like Oracle, Microsoft SQL and MySQL.

Data Analyst 52

Data Analyst SQL Data Analysis Data Analysis 52

ODSC - Open Data Science

FEBRUARY 19, 2024

Like Tabeau, its no-code functionality combined with AI-enhanced features can help users bring out most of their data. Microsoft Power BI Microsoft Power BI is almost synonymous with comprehensive business intelligence capabilities.

Data Visualization 52

Data Visualization Power BI Tableau Data Science 52

Pickl AI

FEBRUARY 22, 2024

Summary: Dive into programs at Duke University, MIT, and more, covering Data Analysis, Statistical quality control, and integrating Statistics with Data Science for diverse career paths. offer modules in Statistical modelling, biostatistics, and comprehensive Data Science bootcamps, ensuring practical skills and job placement.

Hypothesis Testing 52

Hypothesis Testing Data Science Data Analysis Data Analysis 52

Pickl AI

FEBRUARY 29, 2024

Ultimately, Data Blending in Tableau fosters a deeper understanding of data dynamics and drives informed strategic actions. Data Blending in Tableau Data Blending in Tableau is a sophisticated technique pivotal to modern data analysis endeavours. What is Data Blending in tableau with an example?

Tableau 52

Tableau Power BI Data Analysis Data Analysis 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.

Power BI 52

Power BI Data Analysis Data Analysis Tableau 52