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Announcing the ODSC East 2024 Pre-Bootcamp Primer Courses

ODSC - Open Data Science

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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Start Learning AI With the ODSC West Data Primer Series

ODSC - Open Data Science

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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Training Sessions Coming to ODSC APAC 2023

ODSC - Open Data Science

Build Classification and Regression Models with Spark on AWS Suman Debnath | Principal Developer Advocate, Data Engineering | Amazon Web Services This immersive session will cover optimizing PySpark and best practices for Spark MLlib. Finally, you’ll explore how to handle missing values and training and validating your models using PySpark.

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Data Science skills: Mastering the essentials for success

Pickl AI

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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Roadmap to Learn Data Science for Beginners and Freshers in 2023

Becoming Human

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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Journeying into the realms of ML engineers and data scientists

Dataconomy

Key skills and qualifications for data scientists include: Statistical analysis and modeling: Proficiency in statistical techniques, hypothesis testing, regression analysis, and predictive modeling is essential for data scientists to derive meaningful insights and build accurate models.

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Check Out The Best Free Data Science Courses In 2024

Pickl AI

Here are some important factors to consider to get the most value out of your chosen course: Course Content and Relevance : Ensure the course covers foundational topics like Data Analysis, statistics, and Machine Learning, along with essential tools such as Python and SQL. Data Science Course by Pickl.AI