Dataconomy

MAY 16, 2023

They employ statistical and mathematical techniques to uncover patterns, trends, and relationships within the data. Data scientists possess a deep understanding of statistical modeling, data visualization, and exploratory data analysis to derive actionable insights and drive business decisions.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

How to Learn Machine Learning

APRIL 26, 2025

Data scientists try multiple models, evaluate their performance, and fine-tune some parameters to get better accuracy. 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

ODSC - Open Data Science

FEBRUARY 2, 2023

Analytics and Data Analysis Coming in as the 4th most sought-after skill is data analytics, as many data scientists will be expected to do some analysis in their careers. This doesn’t mean anything too complicated, but could range from basic Excel work to more advanced reporting to be used for data visualization later on.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

IBM Journey to AI blog

SEPTEMBER 19, 2023

To pursue a data science career, you need a deep understanding and expansive knowledge of machine learning and AI. For example, business analysts can use BI dashboards to conduct in-depth business analytics and visualize key performance metrics compiled from relevant datasets.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

ODSC - Open Data Science

FEBRUARY 20, 2023

These are the problems of information asymmetries and incentive structures. If an insurance company is coming after all of these years, and wants to sell me health insurance, they’re going to set a price and ask questions like how much do you drink, and I’m going to say well I don’t drink at all, or they’ll ask how much I exercise, and so on.

Machine Learning 96

Machine Learning Machine Learning Data Science Python 96

Pickl AI

MARCH 20, 2024

Aspiring Data Scientists must equip themselves with a diverse skill set encompassing technical expertise, analytical prowess, and domain knowledge. Whether you’re venturing into machine learning, predictive analytics, or data visualization, honing the following top Data Science skills is essential for success.

Data Science 52

Data Science Data Scientist Data Wrangling Data Visualization 52

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

ODSC - Open Data Science

JULY 7, 2023

Humans and machines Data scientists and analysts need to be aware of how this technology will affect their role, their processes, and their relationships with other stakeholders. There are clearly aspects of data wrangling that AI is going to be good at.

AI 59

AI AI Data Wrangling Data Science 59

Pickl AI

MARCH 18, 2024

Summary Demystify data with MIS report in Excel! This guide unveils how to transform raw information into impactful summaries. Learn to collect, format, and analyze data using effective formulas and PivotTables. MIS stands for Management Information System. MIS Report in Excel? What is an MIS Report Meaning?

Data Wrangling 52

Data Wrangling Data Analysis Data Analysis Data Visualization 52

IBM Journey to AI blog

DECEMBER 16, 2022

So, instead of wandering the aisles in hopes you’ll stumble across the book, you can walk straight to it and get the information you want much faster. An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more.

Data Quality 52

Data Quality Data Governance Data Wrangling Data Scientist 52

ODSC - Open Data Science

MARCH 2, 2023

Being able to interpret, communicate, and make informed decisions about the data you have will make or break you as a data scientist.

Data Science 52

Data Science SQL Deep Learning Deep Learning 52

Pickl AI

AUGUST 21, 2023

Key Takeaways: Data Science is a multidisciplinary field bridging statistics, mathematics, and computer science to extract insights from data. The roadmap to becoming a Data Scientist involves mastering programming, statistics, machine learning, data visualization, and domain knowledge.

Data Scientist 52

Data Scientist Data Science Machine Learning Machine Learning 52

Pickl AI

JULY 18, 2023

Data science equips you with the tools and techniques to manage big data, perform exploratory data analysis, and extract meaningful information from complex datasets. Making data-driven decisions: Data science empowers you to make informed decisions by analyzing and interpreting data.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 52

Pickl AI

JULY 10, 2023

Packages like stats, car, and survival are commonly used for statistical modeling and analysis. · Data Visualization : R offers several libraries, including ggplot2, plotly, and lattice, that allow for the creation of high-quality visualizations.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

AUGUST 9, 2024

Volume It refers to the sheer amount of data generated daily, which can range from terabytes to petabytes. Organisations must develop strategies to store and manage this vast amount of information effectively. Velocity It indicates the speed at which data is generated and processed, necessitating real-time analytics capabilities.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

JULY 20, 2023

Descriptive Analytics Projects: These projects focus on summarizing historical data to gain insights into past trends and patterns. Examples include generating reports, dashboards, and data visualizations to understand business performance, customer behavior, or operational efficiency.

Analytics 40

Analytics Analytics Big Data Big Data 40

ODSC - Open Data Science

JANUARY 29, 2024

Data science methodologies and skills can be leveraged to design these experiments, analyze results, and iteratively improve prompt strategies. Using skills such as statistical analysis and data visualization techniques, prompt engineers can assess the effectiveness of different prompts and understand patterns in the responses.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Heartbeat

DECEMBER 27, 2023

The sample data for this project is E-Commerce Shipping data found on Kaggle to predict whether product shipments were delivered on time. The data includes the following information: ID: Customer ID number. Here are some details about these packages: jupyterlab is for model building and data exploration.

Machine Learning 52

Machine Learning Machine Learning Python ML 52