Dataconomy

JULY 28, 2023

Proper data preprocessing is essential as it greatly impacts the model performance and the overall success of data analysis tasks ( Image Credit ) Data integration Data integration involves combining data from various sources and formats into a unified and consistent dataset.

Power BI 91

Power BI Data Preparation Exploratory Data Analysis Machine Learning 91

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

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

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

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

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 77

Data Science Analytics Analytics Data Scientist 77

ODSC - Open Data Science

APRIL 6, 2023

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. But why is SQL, or Structured Query Language , so important to learn? What can it do, that sets it apart from other programming languages?

SQL 98

SQL Data Scientist Database Data Analysis 98

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 287

Data Science ML ML Analytics 287

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

JUNE 1, 2023

Microsoft Fabric combines multiple elements into a single platform – Image courtesy of Microsoft The contribution of Power BI The integration of Microsoft Power BI and Microsoft Fabric offers a powerful combination for organizations seeking comprehensive data analytics and insights.

Power BI 194

Power BI Data Lakes Azure Data Silos 194

Pickl AI

SEPTEMBER 12, 2023

Data Analyst: Data Analysts work with data to extract meaningful insights and support decision-making processes. They gather, clean, analyze, and visualize data using tools like Excel, SQL, and data visualization software. Why Pursue a Course in Data Science? Python, R).

Data Science 52

Data Science Data Analyst Machine Learning Machine Learning 52

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

JUNE 12, 2023

A Data Scientist requires to be able to visualize quickly the data before creating the model and Tableau is helpful for that. Tableau is useful for summarising the metrics of success. Disadvantages of Tableau for Data Science However, apart from the advantages, Tableau for Data Science also has its own disadvantages.

Tableau 52

Tableau Data Science Data Scientist Data Analysis 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

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

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

Pickl AI

APRIL 2, 2024

Tools and Technologies Python/R: Popular programming languages for data analysis and machine learning. SQL (Structured Query Language): Language for managing and querying relational databases. Tableau/Power BI: Visualization tools for creating interactive and informative data visualizations.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52