Data Science Dojo

DECEMBER 14, 2023

They offer the ability to challenge one’s knowledge and get hands-on practice to boost their skills in areas, including, but not limited to, exploratory data analysis, data visualization, data wrangling, machine learning, and everything essential to learning data science.

Data Science 195

Data Science Natural Language Processing AI AI 195

Data Science Dojo

JUNE 9, 2023

Data science boot camps are intensive, short-term programs that teach students the skills they need to become data scientists. These programs typically cover topics such as data wrangling, statistical inference, machine learning, and Python programming.

Data Science 370

Data Science Machine Learning Machine Learning Data Scientist 370

ODSC - Open Data Science

AUGUST 17, 2023

Past courses have included An Introduction to Data Wrangling with SQL Programming with Data: Python and Pandas Introduction to Machine Learning Introduction to Math for Data Science Introduction to Data Visualization During the conference itself, you’ll have your choice of any of ODSC West’s training sessions, workshops, and talks.

Data Wrangling 52

Data Wrangling Data Science Machine Learning Machine Learning 52

learn data science

DECEMBER 30, 2020

The main things are Performance, Prediction, Summary View’s Correlation Mode, Text Data Wrangling UI, and Summarize Table. Performance But the performance to me is probably the most important feature for any data analysis tools. Switching between Data Frames. Moving between the Data Wrangling Steps.

Data Wrangling 52

Data Wrangling Hypothesis Testing Analytics Analytics 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

How to Learn Machine Learning

DECEMBER 11, 2022

Introduction to Pandas – The fundamentals Pandas is a popular and powerful open-source data analysis and manipulation library for the Python programming language. It is used by us, almighty data scientists and analysts to work with large datasets, perform complex operations, and create powerful data visualizations.

Machine Learning 52

Machine Learning Machine Learning Data Analysis Data Analysis 52

ODSC - Open Data Science

FEBRUARY 15, 2023

Past courses have included An Introduction to Data Wrangling with SQL Programming with Data: Python and Pandas Introduction to Machine Learning Introduction to Math for Data Science Introduction to Data Visualization During the conference itself, you’ll have your choice of any of ODSC East’s training sessions, workshops, and talks.

Data Science 90

Data Science Machine Learning Machine Learning SQL 90

ODSC - Open Data Science

MARCH 20, 2023

We’re still hammering out the details and exact titles, but a tentative list of topics includes: An Introduction to Data Wrangling with SQL Programming with Data: Python and Pandas Introduction to Machine Learning Introduction to Math for Data Science Introduction to Data Visualization Day 1: Tuesday, May 9th In-Person Day 1 ODSC East 2023 will feature (..)

Data Science 98

Data Science Data Wrangling Python Deep Learning 98

ODSC - Open Data Science

APRIL 3, 2023

As you’ll see below, however, a growing number of data analytics platforms, skills, and frameworks have altered the traditional view of what a data analyst is. Data Presentation: Communication Skills, Data Visualization Any good data analyst can go beyond just number crunching.

Analytics 52

Analytics Analytics Data Analyst Data Science 52

Cambridge Intelligence

NOVEMBER 19, 2024

Graph visualization SDKs would have been a huge asset to those projects. To prove this, I built my own digital twin using the KeyLines graph visualization toolkit. Let’s see how advanced data visualization can illuminate these models and uncover powerful insights. What is a digital twin?

Data Visualization 52

Data Visualization Algorithm Data Wrangling Python 52

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

IBM Journey to AI blog

SEPTEMBER 19, 2023

For example, business analysts can use BI dashboards to conduct in-depth business analytics and visualize key performance metrics compiled from relevant datasets. They may also use tools such as Excel to sort, calculate and visualize data.

Data Science 98

Data Science Analytics Analytics Data Scientist 98

Smart Data Collective

NOVEMBER 12, 2022

As a data analyst, you will learn several technical skills that data analysts need to be successful, including: Programming skills. Data visualization capability. Data Mining skills. Data wrangling ability. Machine learning knowledge.

Data Analyst 116

Data Analyst Data Analysis Data Analysis Data Wrangling 116

Pickl AI

JUNE 21, 2023

Enroll in data science courses or bootcamps: Participating in structured data science programs specifically designed for non-technical backgrounds can provide you with a comprehensive understanding of the field. Look for programs that cover topics such as machine learning, data visualization, and predictive modeling.

Data Scientist 52

Data Scientist Data Science Computer Science Computer Science 52

learn data science

APRIL 22, 2021

Analytics Time Series Clustering We have this new analytics capability as a Data Wrangling Step in v6.4. Date Format Support for Table You can now apply the date format to your date and time data. Data Wrangling Sometimes, you want to summarize for each row. But with v6.5,

Data Wrangling 52

Data Wrangling Clustering Analytics Analytics 52

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

ODSC - Open Data Science

MARCH 2, 2023

Improving your data literacy not only involves hard skills, such as programming languages, but soft skills such as interpersonal communication, and stakeholder relations, as well as blended skills such as data visualization.

Data Science 52

Data Science SQL Deep Learning Deep Learning 52

ODSC - Open Data Science

FEBRUARY 20, 2023

We’ll also have a series of introductory sessions on AI literacy, intros to programming, etc.

Machine Learning 96

Machine Learning Machine Learning Data Science Python 96

Pickl AI

JULY 18, 2023

Making data-driven decisions: Data science empowers you to make informed decisions by analyzing and interpreting data. Addressing real-world problems: Data science enables you to tackle real-world challenges across diverse domains, such as healthcare, finance, marketing, and social sciences.

Computer Science 52

Computer Science Computer Science Data Science Machine 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

MARCH 18, 2024

Drag and drop data fields into the “Rows,” “Columns,” “Values,” and “Filters” sections of the PivotTable Fields list to organize and analyze your data. Ensure headers are clear and data types are formatted correctly (currency for “Sales Amount”).

Data Wrangling 52

Data Wrangling Data Analysis Data Analysis Data Visualization 52

Pickl AI

AUGUST 9, 2024

Data Cleaning and Transformation Techniques for preprocessing data to ensure quality and consistency, including handling missing values, outliers, and data type conversions. Students should learn about data wrangling and the importance of data quality.

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

APRIL 6, 2023

March 14, 2023: ODSC East Bootcamp Warmup: SQL Primer Course April 6, 2023: ODSC East Bootcamp Warmup: Programming Primer Course with Python April 26, 2023: ODSC East Bootcamp Warmup: AI Primer Course And during ODSC East this May 9th-11th, you can check out these bootcamp-exclusive sessions: An Introduction to Data Wrangling with SQL Programming with (..)

SQL 98

SQL Data Scientist Database Data Analysis 98

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

IBM Journey to AI blog

DECEMBER 16, 2022

Let’s look at five benefits of an enterprise data catalog and how they make Alex’s workflow more efficient and her data-driven analysis more informed and relevant. A data catalog replaces tedious request and data-wrangling processes with a fast and seamless user experience to manage and access data products.

Data Quality 52

Data Quality Data Governance Data Wrangling Data Scientist 52

Mlearning.ai

JULY 9, 2023

Goal The objective of this post is to demonstrate how Polars performance is much better than other open-source libraries in a variety of data analysis tasks, such as data cleaning, data wrangling, and data visualization. ?

Data Analysis 52

Data Analysis Data Analysis Python Data Wrangling 52

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 AI 52

Heartbeat

DECEMBER 27, 2023

Here are some details about these packages: jupyterlab is for model building and data exploration. matplotlib is for data visualization. missingno is for missing values visualization. In your new virtual environment, install the following packages (which include libraries and dependencies): pip3 install jupyterlab==3.4.3

Machine Learning 52

Machine Learning Machine Learning Python ML 52

ODSC - Open Data Science

SEPTEMBER 20, 2023

Monday’s sessions will cover a wide range of topics, from Generative AI and LLMs to MLOps and Data Visualization. Day 1: Monday, October 30th (Bootcamp, VIP, Platinum) Day 1 of ODSC West 2023 will feature our hands-on training sessions, workshops, and tutorials and will be open to Platinum, Bootcamp, and VIP pass holders.

Data Wrangling 52

Data Wrangling Data Science Machine Learning Machine Learning 52

phData

NOVEMBER 4, 2024

By providing a single, unified platform for data storage, management, and analysis, Snowflake connects organizations to leading software vendors specializing in analytics, machine learning, data visualization, and more.

Machine Learning 69

Machine Learning Machine Learning Data Science Data Preparation 69

learn data science

SEPTEMBER 3, 2020

When you import data to Exploratory it used to save the data in a binary format called RDS on the local hard disk. This is the data at the source step (the first step in the right hand side) before any data wrangling. That’s all for the Exploratory v6.1

SQL 52

SQL Data Wrangling Data Science Analytics 52