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

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

ODSC - Open Data Science

JANUARY 3, 2024

This course is perfect for people beginning their AI journey and provides valuable insights that we will build up in subsequent SQL, programming, and AI courses. Upon completion, students will have a strong foundation in SQL and be able to use it effectively to extract insights from data.

Data Wrangling 52

Data Wrangling Machine Learning Machine Learning SQL 52

ODSC - Open Data Science

SEPTEMBER 1, 2023

It covers topics such as data collection, organization, profiling, and transformation as well as basic analysis. It will help you begin your AI journey and gain valuable insights that we will build up in subsequent SQL, programming, and AI courses. You will learn how to design and write SQL code to solve real-world problems.

Data Wrangling 52

Data Wrangling Machine Learning Machine Learning Data Science 52

ODSC - Open Data Science

AUGUST 8, 2023

Pre-Bootcamp On-Demand Training Before the conference, you’ll have access to on-demand, self-paced training on core skills like Python, SQL, and more from some of our acclaimed instructors. Day 1 will focus on introducing fundamental data science and AI skills.

Data Science 52

Data Science Data Wrangling Machine Learning Machine Learning 52

Becoming Human

MAY 15, 2023

One is a scripting language such as Python, and the other is a Query language like SQL (Structured Query Language) for SQL Databases. Python is a High-level, Procedural, and object-oriented language; it is also a vast language itself, and covering the whole of Python is one the worst mistakes we can make in the data science journey.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

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 Data Science 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

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

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 94

Data Science Analytics Analytics Data Scientist 94

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

Pickl AI

NOVEMBER 5, 2024

These courses introduce you to Python, Statistics, and Machine Learning , all essential to Data Science. Starting with these basics enables a smoother transition to more specialised topics, such as Data Visualisation, Big Data Analysis , and Artificial Intelligence. Data Science Course by Pickl.AI

Data Science 52

Data Science Machine Learning Machine Learning Python 52

Pickl AI

JUNE 21, 2023

Gain knowledge in data manipulation and analysis: Familiarize yourself with data manipulation techniques using tools like SQL for database querying and data extraction. Also, learn how to analyze and visualize data using libraries such as Pandas, NumPy, and Matplotlib. appeared first on Pickl AI.

Data Scientist 52

Data Scientist Data Science Computer Science Computer Science 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. ChatGPT is already being used to output SQL queries in the correct syntax.

AI 59

AI AI Data Wrangling Data Science 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

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

Pickl AI

FEBRUARY 12, 2024

Technical Proficiency Data Science interviews typically evaluate candidates on a myriad of technical skills spanning programming languages, statistical analysis, Machine Learning algorithms, and data manipulation techniques. However, there are a few fundamental principles that remain the same throughout.

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 Engineering Data Engineering Data Engineer 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.

Data Science 52

Data Science Machine Learning Machine Learning Natural Language Processing 52

Pickl AI

SEPTEMBER 12, 2024

Data Cleaning: Raw data often contains errors, inconsistencies, and missing values. Data cleaning identifies and addresses these issues to ensure data quality and integrity. Data Visualisation: Effective communication of insights is crucial in Data Science.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

ODSC - Open Data Science

MARCH 24, 2025

Dr. Tomic highlighted how AI is transforming education, making coding and data analysis more accessible but also raising new challenges. Historically, data analysts were required to write SQL queries or scripts in Python to extract insights. Furthermore, AI is reshaping career paths in analytics.

Analytics 52

Analytics Analytics AI AI 52