ODSC - Open Data Science

MARCH 13, 2023

First, there’s a need for preparing the data, aka data engineering basics. Machine learning practitioners are often working with data at the beginning and during the full stack of things, so they see a lot of workflow/pipeline development, data wrangling, and data preparation.

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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. That’s where SQL comes in, enabling data analysts to extract, manipulate and analyse data from multiple sources.

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ODSC - Open Data Science

FEBRUARY 15, 2023

Warmup sessions include Data Primer Course — March 2, 2023 SQL Primer Course — March 14, 2023 Programming Primer Course with Python — April 6, 2023 AI Primer Course — April 26, 2023 Bootcamp Orientation In March and April, we will be offering virtual orientation sessions. Check them out below.

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Pickl AI

JANUARY 25, 2023

The easiest skill that a Data Science aspirant might develop is SQL. Management and storage of Data in businesses require the use of a Database Management System. This blog would an introduction to SQL for Data Science which would cover important aspects of SQL, its need in Data Science, and features and applications of SQL.

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ODSC - Open Data Science

MARCH 6, 2023

Primary Coding Language for Machine Learning Likely to the surprise of no one, python by far is the leading programming language for machine learning practitioners. In the first blog, we’re going to discuss the technical side of things, such as what languages and platforms people are using.

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ODSC - Open Data Science

FEBRUARY 2, 2023

Computer Science and Computer Engineering Similar to knowing statistics and math, a data scientist should know the fundamentals of computer science as well. While knowing Python, R, and SQL are expected, you’ll need to go beyond that. Big Data As datasets become larger and more complex, knowing how to work with them will be key.

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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.

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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.

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Pickl AI

APRIL 21, 2025

Key Takeaways Big Data focuses on collecting, storing, and managing massive datasets. Data Science extracts insights and builds predictive models from processed data. Big Data technologies include Hadoop, Spark, and NoSQL databases. Data Science uses Python, R, and machine learning frameworks.

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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.

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Pickl AI

MAY 31, 2023

Python is one of the widely used programming languages in the world having its own significance and benefits. Its efficacy may allow kids from a young age to learn Python and explore the field of Data Science. Some of the top Data Science courses for Kids with Python have been mentioned in this blog for you.

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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

APRIL 18, 2023

Mini-Bootcamp and VIP Pass holders will have access to four live virtual sessions on data science fundamentals. Confirmed sessions include: An Introduction to Data Wrangling with SQL with Sheamus McGovern, Software Architect, Data Engineer, and AI expert Programming with Data: Python and Pandas with Daniel Gerlanc, Sr.

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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.

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ODSC - Open Data Science

FEBRUARY 20, 2023

Here are a few other training sessions you can check out during the event: An Introduction to Data Wrangling with SQL: Sheamus McGovern | CEO and ML Engineer | ODSC Advanced Fraud Modeling & Anomaly Detection with Python & R: Aric LaBarr, PhD | Associate Professor of Analytics | Institute for Advanced Analytics at NC State University Machine (..)

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Machine Learning Machine Learning Data Science Python 96

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 things like its Data Structures and their operations, Loops , Conditional Statements , Functional Programming , and Object Oriented Programming.

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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

Key skills and qualifications for machine learning engineers include: Strong programming skills: Proficiency in programming languages such as Python, R, or Java is essential for implementing machine learning algorithms and building data pipelines.

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How to Learn Machine Learning

DECEMBER 11, 2022

In this article we will provide a brief introduction to Pandas, one of the most famous Python libraries for Data Science and Machine learning. Introduction to Pandas – The fundamentals Pandas is a popular and powerful open-source data analysis and manipulation library for the Python programming language.

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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. SQL Databases might sound scary, but honestly, they’re not all that bad. Learning is learning.

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ODSC - Open Data Science

AUGUST 15, 2023

More confirmed sessions include Introduction to Large Lange Models (LLMs) | ODSC Instructor Introduction to Data Course | Sheamus McGovern | CEO and Software Architect, Data Engineer, and AI expert | ODSC Advanced NLP: Deep Learning and Transfer Learning for Natural Language Processing | Dipanjan (DJ) Sarkar | Lead Data Scientist | Google Developer (..)

Machine Learning 52

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Pickl AI

MAY 17, 2023

Following is the Data Science Roadmap that you need to know: Learn Data Wrangling, Data Visualisation and Reporting: For dealing with complex datasets you need to learn the skill of Data Wrangling which will help you clean, organise and transform data into an understandable format.

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Pickl AI

NOVEMBER 5, 2024

The global Data Science Platform Market was valued at $95.3 To meet this demand, free Data Science courses offer accessible entry points for learners worldwide. With these courses, anyone can develop essential skills in Python, Machine Learning, and Data Visualisation without financial barriers.

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ODSC - Open Data Science

OCTOBER 26, 2023

Our virtual partners include: Microsoft Azure | Qwak | Tangent Works | MIT | Pachyderm | Boston College | ArangoDB | DataGPT | Upsolver On-Demand Training You’ll also have access to our on-demand Primer Courses that cover a wide range of data science topics essential for success in the field. So, don’t delay.

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phData

MARCH 20, 2024

dbt’s SQL-based approach democratizes data transformation. However, python and other programming languages edge out SQL with its metaprogramming capabilities. dbt’s Jinja integration bridges the gap between the expressiveness of Python and the familiarity of SQL. Round 11.123 | round(1) 11.1

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ODSC - Open Data Science

MAY 26, 2023

Confirmed sessions include: Introduction to Machine Learning with Julia Lintern, Data Science Instructor, Metis Python Fundamentals with Philip Tracton, Instructor at UCLA Extension, Principal IC Design Engineer at Medtronic An Introduction to Data Wrangling with SQL with Sheamus McGovern, CEO and Software Architect, Data Engineer, and AI expert, ODSC (..)

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ODSC - Open Data Science

SEPTEMBER 20, 2023

Register now while tickets are 50% off. Prices go up Friday!

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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. Your skill set should include the ability to write in the programming languages Python, SAS, R and Scala. And you should have experience working with big data platforms such as Hadoop or Apache Spark.

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Pickl AI

MARCH 20, 2024

Proficiency in programming languages Fluency in programming languages such as Python, R, and SQL is indispensable for Data Scientists. These languages serve as powerful tools for data manipulation, analysis, and visualization.

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The MLOps Blog

OCTOBER 20, 2023

Example template for an exploratory notebook | Source: Author How to organize code in Jupyter notebook For exploratory tasks, the code to produce SQL queries, pandas data wrangling, or create plots is not important for readers. If a reviewer wants more detail, they can always look at the Python module directly.

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SQL Database Data Scientist Python 52

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. Also, learn how to analyze and visualize data using libraries such as Pandas, NumPy, and Matplotlib.

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ODSC - Open Data Science

MARCH 3, 2023

At ODSC East 2023 , there will be a number of sessions as part of the machine & deep learning track that will cover the tools, strategies, platforms, and use cases you need to know to excel in the field.

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Pickl AI

SEPTEMBER 24, 2024

This lucrative compensation reflects organisations’ value on data-driven insights, making Data Science a wise career choice for financial stability and growth. Skill Set Engaging in Data Science equips you with a diverse and highly marketable skill set. A comprehensive program will equip you with the necessary skills.

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ODSC - Open Data Science

JANUARY 18, 2024

Data scientists typically have strong skills in areas such as Python, R, statistics, machine learning, and data analysis. Believe it or not, these skills are valuable in data engineering for data wrangling, model deployment, and understanding data pipelines. Learn more about the cloud.

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Pickl AI

JUNE 7, 2024

Comprehensive Data Management: Supports data movement, synchronisation, quality, and management. Scalability: Designed to handle large volumes of data efficiently. It offers connectors for extracting data from various sources, such as XML files, flat files, and relational databases. How to drop a database in SQL server?

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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.

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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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