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

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 Analysis Data Analysis Data Science 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

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

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 SQL 52

Pickl AI

FEBRUARY 29, 2024

Summary: Data Blending in Tableau is helpful in deriving multiple sources to gain comprehensive insights. It allows analysts to merge datasets seamlessly, leveraging common fields or dimensions for correlation analysis. Understanding the nuances of Data Blending in Tableau is crucial for extracting meaningful insights.

Tableau 52

Tableau Power BI Data Analysis Data Analysis 52

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

Business Intelligence Business Intelligence SQL Data Visualization 52

Pickl AI

JULY 25, 2023

At the core of Data Science lies the art of transforming raw data into actionable information that can guide strategic decisions. Role of Data Scientists Data Scientists are the architects of data analysis. They clean and preprocess the data to remove inconsistencies and ensure its quality.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

JANUARY 31, 2023

During the five-month Data Science Job Guarantee Programme, you would hone your necessary Data Science skills. Along with Tableau, the curriculum also provides supervised and unsupervised learning opportunities. 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

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

Smart Data Collective

NOVEMBER 24, 2020

And that is why: with BI you rely on a broader range of data, get deeper insights into the market, have a better vision of your companies strengths and weaknesses, receive trustworthy forecasts on business trends and get data-backed actionable tips on developing your business.

Business Intelligence 132

Business Intelligence Business Intelligence Power BI Augmented Analytics 132

Pickl AI

FEBRUARY 27, 2024

Summary: Leveraging data skills for Financial Analysts explores how Financial Analysts can harness data skills to enhance their roles. It delves into data analysis techniques to interpret financial trends effectively, including statistical analysis and data visualization.

Data Visualization 52

Data Visualization SQL Data Analyst Data Analysis 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 83

Data Science Analytics Analytics Data Scientist 83

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. Let’s read the blog to find out!

Tableau 52

Tableau Data Science Data Scientist Data Analysis 52

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 286

Data Science ML ML Analytics 286

Smart Data Collective

NOVEMBER 25, 2019

Some major business intelligence platforms, like Microsoft’s Power BI and Tableau , have already integrated NLP features — like semantic search. Semantic search functions allow non-subject matter experts to learn from data sets by posing questions in natural language.

Business Intelligence 102

Business Intelligence Business Intelligence Natural Language Processing Predictive Analytics 102

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

Dataconomy

MAY 10, 2023

Open source business intelligence software is a game-changer in the world of data analysis and decision-making. It has revolutionized the way businesses approach data analytics by providing cost-effective and customizable solutions that are tailored to specific business needs.

Business Intelligence 178

Business Intelligence Business Intelligence Power BI Data Analysis 178

Data Science Dojo

MAY 22, 2023

Benefits of data visualization Data visualization has several advantages for business analytics, including 1. Improved communication and understanding of data Visualizations make it easier to communicate complex data to stakeholders who may not have a background in data analysis.

Data Visualization 338

Data Visualization Analytics Analytics Power BI 338

Pickl AI

SEPTEMBER 12, 2023

Look for courses that include statistics, Machine Learning, Data Analysis, and relevant programming languages (e.g., Check if the institution is accredited and recognized in the field of Data Science and analytics. Python, R). Institution and Accreditation Choose a reputable institution or platform offering the course.

Data Science 52

Data Science Data Analyst 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 Analysis 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

Data Science Blog

NOVEMBER 15, 2023

The lower part of the iceberg is barely visible to the normal analyst on the tool interface, but is essential for implementation and success: this is the Event Log as the data basis for graph and data analysis in Process Mining. The creation of this data model requires the data connection to the source system (e.g.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Pickl AI

JULY 12, 2023

We are living in a world where data drives decisions. Data manipulation in Data Science is the fundamental process in data analysis. The data professionals deploy different techniques and operations to derive valuable information from the raw and unstructured data.

Data Analysis 52

Data Analysis Data Analysis Database Clean Data 52

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

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 108

AI AI Business Intelligence Business Intelligence 108

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 126

Data Scientist Data Visualization Data Science Data Analysis 126

Pickl AI

NOVEMBER 6, 2023

Communication and Storytelling: Data Visualization is an effective way to communicate complex data and findings to both technical and non-technical audiences. Visual representations make it easier to convey information, present key findings, and tell compelling stories derived from data.

Data Visualization 52

Data Visualization Data Science Data Scientist Data Analysis 52

Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Pickl AI

APRIL 2, 2024

Tools and Technologies Python/R: Popular programming languages for data analysis and machine learning. Tableau/Power BI: Visualization tools for creating interactive and informative data visualizations. Hadoop/Spark: Frameworks for distributed storage and processing of big data.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52