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. But why is SQL, or Structured Query Language , so important to learn? But its status as the go-between for programming and data professionals isn’t its only power.

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ODSC - Open Data Science

FEBRUARY 2, 2023

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. Computer Science and Computer Engineering Similar to knowing statistics and math, a data scientist should know the fundamentals of computer science as well.

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ODSC - Open Data Science

MARCH 20, 2023

Day 0: Monday, May 8th Day 0 of ODSC East 2023 will be exclusive to Mini-Bootcamp and VIP pass holders, and will be a virtual-only day comprising the first bootcamp sessions of the week. This day will have a mixture of beginner, intermediate, and advanced content.

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ODSC - Open Data Science

AUGUST 17, 2023

To kick your learning journey off, we’re giving Mini-Bootcamp attendees access to some of our most popular on-demand introductory courses on the Ai+ Training Platform. These sessions provide to-the-point instruction on essential fundamental concepts. Check them out below.

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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.

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ODSC - Open Data Science

AUGUST 15, 2023

Originally posted on OpenDataScience.com Read more data science articles on OpenDataScience.com , including tutorials and guides from beginner to advanced levels! Free and paid passes are available now–register here. Subscribe to our weekly newsletter here and receive the latest news every Thursday.

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ODSC - Open Data Science

MARCH 2, 2023

Without the ability to utilize data, create models, visualizations, algorithms, or anything else, you’re left without a story. But it’s not only the ability to work with data, it’s also about scaling your own abilities.

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ODSC - Open Data Science

OCTOBER 26, 2023

ODSC West is less than a week away and we can’t wait to bring together some of the best and brightest minds in data science and AI to discuss generative AI, NLP, LLMs, machine learning, deep learning, responsible AI, and more. With a Virtual Open Pass , you can be part of where the future of AI gathers for free.

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ODSC - Open Data Science

APRIL 3, 2023

Skills like effective verbal and written communication will help back up the numbers, while data visualization (specific frameworks in the next section) can help you tell a complete story. Data Wrangling: Data Quality, ETL, Databases, Big Data The modern data analyst is expected to be able to source and retrieve their own data for analysis.

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Dataconomy

MAY 16, 2023

Skills and qualifications required for the role To excel as a machine learning engineer, individuals need a combination of technical skills, analytical thinking, and problem-solving abilities. Their technical skills enable them to build efficient and scalable machine learning solutions.

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ODSC - Open Data Science

MARCH 3, 2023

There are some people in deep learning today who say you can do anything with backpropagation. I have this ongoing discussion with one person who says gradient descent is the only thing you need for deep learning. There are people at one end of the spectrum who say that paradigm is all you need.

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Pickl AI

AUGUST 21, 2023

Data Scientists play a crucial role in collecting, cleaning, and analyzing data, ultimately guiding organizations to make informed decisions. Software engineering concepts facilitate efficient data manipulation, enabling you to design algorithms, create visualizations, and build machine learning models.

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Pickl AI

JUNE 21, 2023

Learn programming languages and tools: While you may not have a technical background, acquiring programming skills is essential in data science. Start by learning Python or R, which are widely used in the field. Accordingly, following are the Data Science Course with placement programmes: Pickl.AI

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Pickl AI

JULY 18, 2023

Develop Programming Skills Master programming languages such as Python, R, or Java, which are widely used in AI development. Gain hands-on experience in implementing algorithms and working with AI frameworks such as TensorFlow , PyTorch, or scikit-learn.

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Pickl AI

JULY 20, 2023

These may range from Data Analytics projects for beginners to experienced ones. Following is a guide that can help you understand the types of projects and the projects involved with Python and Business Analytics. Here are some project ideas suitable for students interested in big data analytics with Python: 1.

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Pickl AI

AUGUST 9, 2024

Apache Spark A fast, in-memory data processing engine that provides support for various programming languages, including Python, Java, and Scala. Students should learn about Spark’s core concepts, including RDDs (Resilient Distributed Datasets) and DataFrames. Students should learn about neural networks and their architecture.

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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. What is the Central Limit Theorem, and why is it important in statistics?

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Pickl AI

JULY 18, 2023

Here are some steps to help you make the transition: Assess your current skills: Evaluate your computer science background and identify the skills that can be applied to data science. These may include programming languages (such as Python , R, or SQL), data structures, algorithms, and problem-solving abilities.

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ODSC - Open Data Science

JANUARY 29, 2024

Open Source ML/DL Platforms: Pytorch, Tensorflow, and scikit-learn Hiring managers continue to favor the most popular open-source machine/deep learning platforms including Pytorch, Tensorflow, and scikit-learn. Python Python’s prominence is expected.

Data Science 52

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Heartbeat

DECEMBER 27, 2023

Docker makes machine learning workloads portable and reproducible. These Python virtual environments encapsulate and manage Python dependencies, while Docker encapsulates the project’s dependency stack down to the host OS. These Python virtual environments encapsulate and manage Python dependencies. Flask==2.1.2

Machine Learning 52

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Pickl AI

SEPTEMBER 12, 2024

D Data Mining : The process of discovering patterns, insights, and knowledge from large datasets using various techniques such as classification, clustering, and association rule learning. Data Wrangling: The cleaning, transforming, and structuring of raw data into a format suitable for analysis.

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ODSC - Open Data Science

MARCH 10, 2025

The Early Years: Laying the Foundations (20152017) In the early years, data science conferences predominantly focused on foundational topics like data analytics , visualization , and the rise of big data. The Deep Learning Boom (20182019) Between 2018 and 2019, deep learning dominated the conference landscape.

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ODSC - Open Data Science

MARCH 18, 2025

Allen Downey, PhD, Principal Data Scientist at PyMCLabs Allen is the author of several booksincluding Think Python, Think Bayes, and Probably Overthinking Itand a blog about data science and Bayesian statistics. in Ecology, he brings a unique perspective to statistics, spatial analysis, and real-world data applications.

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