ODSC - Open Data Science

JANUARY 3, 2024

ODSC Bootcamp Primer: Data Wrangling with SQL Course January 25th @ 2PM EST This SQL coding course teaches students the basics of Structured Query Language, which is a standard programming language used for managing and manipulating data and an essential tool in AI.

Data Wrangling 52

Data Wrangling Machine Learning Machine Learning SQL 52

Data Science Dojo

JUNE 1, 2023

Machine Learning for Data Science by Carlos Guestrin This is an intermediate-level course that teaches you how to use machine learning for data science tasks. The course covers topics such as data wrangling, feature engineering, and model selection. Step up your game and make accurate predictions based on vast datasets.

Machine Learning 195

Machine Learning Machine Learning Natural Language Processing Deep Learning 195

ODSC - Open Data Science

SEPTEMBER 1, 2023

SQL Primer Thursday, September 7th, 2023, 2 PM EST This SQL coding course teaches students the basics of Structured Query Language, which is a standard programming language used for managing and manipulating data and an essential tool in learning AI. You will learn how to design and write SQL code to solve real-world problems.

Data Wrangling 52

Data Wrangling Machine Learning Machine Learning AI 52

Data Science Dojo

MAY 10, 2023

In the context of data science, software engineers play a crucial role in creating robust and efficient software tools that facilitate data scientists’ work. They collaborate with data scientists to ensure that the software meets their needs and supports their data analysis and modeling tasks.

Data Science 368

Data Science Database Administration Data Scientist Machine Learning 368

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

Smart Data Collective

NOVEMBER 12, 2022

If you are considering a data analyst career, here are some reasons that may help solidify your decision. Unsurprisingly, those pursuing careers in data analysis are highly sought after. As a data analyst, you will learn several technical skills that data analysts need to be successful, including: Programming skills.

Data Analyst 113

Data Analyst Data Analysis Data Analysis Data Wrangling 113

ODSC - Open Data Science

DECEMBER 7, 2023

You’ll take a deep dive into DataGPT’s technology stack, detailing its methodology for efficient data processing and its measures to ensure accuracy and consistency. You’ll cover the integration of LLMs with advanced algorithms in DataGPT, with an emphasis on their collaborative roles in data analysis.

Data Wrangling 98

Data Wrangling Data Science Machine Learning Machine Learning 98

ODSC - Open Data Science

AUGUST 8, 2023

Jon Krohn (Duration: ~6 hrs) Pre-Bootcamp Live Virtual Training In addition to the on-demand training, you’ll also have the opportunity to attend 5 live virtual training sessions on fundamental data science skills as part of our ODSC Bootcamp Primer series. Day 1 will focus on introducing fundamental data science and AI skills.

Data Wrangling 52

Data Wrangling Data Science Machine Learning Machine Learning 52

Dataconomy

MAY 16, 2023

It involves data collection, cleaning, analysis, and interpretation to uncover patterns, trends, and correlations that can drive decision-making. The rise of machine learning applications in healthcare Data scientists, on the other hand, concentrate on data analysis and interpretation to extract meaningful insights.

Data Scientist 156

Data Scientist ML ML Machine Learning 156

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

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

AUGUST 15, 2023

Big Data Analysis with PySpark Bharti Motwani | Associate Professor | University of Maryland, USA Ideal for business analysts, this session will provide practical examples of how to use PySpark to solve business problems. Finally, you’ll discuss a stack that offers an improved UX that frees up time for tasks that matter.

Machine Learning 52

Machine Learning Machine Learning Data Science Data Scientist 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

Towards AI

AUGUST 25, 2023

McKinney, Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, 2nd ed., Fairley, Guide to the Software Engineering Body of Knowledge, v. 3, IEEE, 2014. Mirjalili, Python Machine Learning, 2nd ed. Packt, ISBN: 978–1787125933, 2017. O’Reilly Media, ISBN: 978–1491957660, 2017. Klein, and E.

Machine Learning 97

Machine Learning Machine Learning AI AI 97

Pickl AI

MARCH 18, 2024

Data Analysis Include charts, graphs, or tables to visually represent trends and insights. Interpretation and Insights Explain the meaning behind the data and visuals. Step 3: Formula Power: Unlocking Data Insights Excel boasts a robust library of formulas that can analyze and summarize your data.

Data Wrangling 52

Data Wrangling Data Analysis Data Analysis Data Visualization 52

ODSC - Open Data Science

FEBRUARY 2, 2023

Being able to discover connections between variables and to make quick insights will allow any practitioner to make the most out of the data. 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.

Data Science 98

Data Science Data Scientist Computer Science Computer Science 98

Pickl AI

JULY 18, 2023

Dealing with large datasets: With the exponential growth of data in various industries, the ability to handle and extract insights from large datasets has become crucial. Data science equips you with the tools and techniques to manage big data, perform exploratory data analysis, and extract meaningful information from complex datasets.

Computer Science 52

Computer Science Computer Science Data Science Machine Learning 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 82

Data Science Analytics Analytics Data Scientist 82

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

FEBRUARY 12, 2024

Data Wrangling and Cleaning Interviewers may present candidates with messy datasets and evaluate their ability to clean, preprocess, and transform data into usable formats for analysis. However, there are a few fundamental principles that remain the same throughout. Here is a brief description of the same.

Data Science 52

Data Science Cross Validation Machine Learning Machine Learning 52

ODSC - Open Data Science

JANUARY 18, 2024

Like with any professional shift, it’s always good practice to take inventory of your existing data science strengths. Data scientists typically have strong skills in areas such as Python, R, statistics, machine learning, and data analysis. With that said, each skill may be used in a different manner.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Pickl AI

JUNE 21, 2023

Accordingly, following are the Data Science Course with placement programmes: Pickl.AI

Data Scientist 52

Data Scientist Data Science Computer Science Computer Science 52

ODSC - Open Data Science

JANUARY 29, 2024

Data Engineering A job role in its own right, this involves managing the modern data stack and structuring data and workflow pipelines — crucial for preparing data for use in training and running AI models. series (Davinci, etc), GPT-4, and GPT-4 Turbo are immensely popular.

Machine Learning 52

Machine Learning Machine Learning Data Science Natural Language Processing 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

Pickl AI

JULY 20, 2023

Kaggle datasets) and use Python’s Pandas library to perform data cleaning, data wrangling, and exploratory data analysis (EDA). Extract valuable insights and patterns from the dataset using data visualization libraries like Matplotlib or Seaborn.

Analytics 40

Analytics Analytics Big Data Big Data 40

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. Imagine combining the data power of SQL with your preferred scripting program.

SQL 98

SQL Data Scientist Database Data Analysis 98

Pickl AI

JANUARY 25, 2023

The requirement of SQL in Data Science is to conduct analytical performances on data that are stored in relational databases. While using Big Data Tools, Data Scientists need SQL which helps them in Data Wrangling and preparation. Based on the type of analysis, the SQL Join is performed.

SQL 52

SQL Data Science Database Data Analysis 52

Becoming Human

MAY 15, 2023

These communities will help you to be updated in the field, because there are some experienced data scientists posting the stuff, or you can talk with them so they will also guide you in your journey. Data Analysis After learning math now, you are able to talk with your data.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

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 Visualization 59

Pickl AI

JULY 10, 2023

As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. The programming language can handle Big Data and perform effective data analysis and statistical modelling. R’s workflow support enhances productivity and collaboration among data scientists.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

ODSC - Open Data Science

JANUARY 25, 2023

This new feature enables you to run large data wrangling operations efficiently, within Azure ML, by leveraging Azure Synapse Analytics to get access to an Apache Spark pool. Causal analysis , to understand the causal effects of treatment features on real-world outcomes.

Machine Learning 59

Machine Learning Machine Learning Azure ML 59

The MLOps Blog

OCTOBER 20, 2023

And that’s what we’re going to focus on in this article, which is the second in my series on Software Patterns for Data Science & ML Engineering. I’ll show you best practices for using Jupyter Notebooks for exploratory data analysis. When data science was sexy , notebooks weren’t a thing yet. documentation.

SQL 52

SQL Database Data Scientist Python 52