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How DataCamp Portfolios Will Help Your Career

This session is designed to empower aspiring and seasoned data and AI professionals alike in crafting compelling data portfolios that stand out in the competitive job market.

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How to Get a Job in Data

In this session, youll learn what hiring managers look for in candidates for data analyst and data scientist roles, and get tips on how to prepare yourself for the hiring process and your first weeks on the job.

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Adding Value in Pharma Through Data & AI Transformation

In this session three pharmaceutical executives, with experience as Chief Data Officers and strategic consultants, discuss techniques to improve your digital capabilities.

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Creating Effective Graphs

In this session, youll learn key principles of data visualization, from understanding which plot to draw in common situations, to design techniques to improve your audiences comprehension.

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How to Win a DataCamp Competition

In this session, youll hear the stories of past DataCamp Competition winners. Youll get tips on how to take part, learn secrets on how to top the leaderboards, and discover how winning a competition can change your career.

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How Top Universities Teach Data Science

In this session youll learn from leaders at top universities what the essential data skills are for common data roles like data analyst and data scientist, along with essential insights into how to get a data career.

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Crafting a Lean and Effective Data Governance Strategy

In this webinar, we will guide you through the nuances of developing a robust data governance strategy that drives value for your organization.

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DataCamp Classrooms Orientation Winter 2024

Whether you’ve used DataCamp Classrooms for years or this is your first time, you’ll learn all about the recent improvements we made to the platform that you can utilize to make teaching data science to your students a breeze.

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Driving Value Creation with Data Science in the Mining Industry

In this webinar, Anton Abrarov, the Head of AI & Data Science at Norilsk Nickel, explains how data is used to solve technical and business problems at his company and in the broader mining industry.

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Data & AI Trends & Predictions 2024

In this webinar, Adel Nehme, VP of Media at DataCamp, and Richie Cotton, Data Evangelist at DataCamp, and co-hosts of the DataFramed podcast, will take out their crystal balls and share their data & AI trends & predictions for 2024.

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Expert Sessions: How to Break into AI in 2024

In this webinar, Sadie St. Lawrence, Chief AI Officer at SSL Innovations and Founder of Women in Data, will provide an in-depth exploration of best practices for breaking into AI in 2024.

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Modernizing Sales Analytics with Snowflake

In this session, youll learn how to improve customer dashboards, sales forecasting, and sales notification systems, and see how Snowflake can be used across these areas of sales analytics.

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The Secret to Successful Data Literacy Programs

In this session, Ed discusses the challenges and successes of the program, along with practical tips for how to scale training at your organization.

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Why High Leverage Analytics is a Cross-Functional Team Sport

In this session we’ll talk about the impact of reliable insights about your product releases, why good data cultures are born from cross-functional collaboration at the source of where the data is created, and what it takes to build a culture.

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Breaking into Data Analytics

In this webinar, youll learn from Lindsay Murphy - a Head of Data with considerable hiring experience - what really matters when you are trying to get hired for that dream data role.

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Unleashing the Synergy of LLMs and Knowledge Graphs

This webinar illuminates how LLM applications can interact intelligently with structured knowledge for semantic understanding and reasoning.

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Designing Data & AI Products

In this webinar, youll learn about the fundamentals of design, how good design can help your data product, and how data and design teams can work together.

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Best Practices for Putting LLMs into Production

The webinar aims to provide a comprehensive overview of the challenges and best practices associated with deploying Large Language Models into production environments, with a particular focus on leveraging GPU resources efficiently.

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