Common questions; How to prepare for the interviews; Insights into FAANG and Tier-1 hiring trends; Insider tips on building a standout portfolio and networking; Specific guidance on SQL, data visualization, and analytical problem-solving.
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semi hasaj
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Data Scientist
C3 AI
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Data Science Interview Workshop: How to Ace Your Interviews 2
2
Ace Your Data Careers: Interview Q&A (Science & Analytics)
2
Data Analyst or Business Analyst? Ace Your Interviews with Our Expert Q&A!
2
Ace Your Data Careers: Interview Q&A (Science & Analytics)
2
Workshop: Understanding and Practicing with LLMs
1
Data Analyst or Business Analyst? Ace Your Interviews with Our Expert Q&A!
1
Understanding and Practicing with LLMs
1
From Data to Dollars: AI & Stock Market
1
Talks & appearances
12 activities · Newest first
What are the common questions. How to prepare for the interviews. Insights into FAANG and Tier-1 hiring trends. Insider tips on building a standout portfolio and networking. Specific guidance on SQL, data visualization, and analytical problem-solving.
Live Q&A covering interview prep for Data Analyst and Business Analyst roles, with guidance on SQL, data visualization, and tackling analytical problems.
A live Q&A session focusing on interview prep for Data Analyst and Business Analyst roles, with guidance on SQL, data visualization, and how to tackle analytical problems.
Interviewing for a Data Science position can feel daunting. This workshop will cover everything you need to know to prepare yourself for interviewing and succeed in landing your preferred Data Science job. I will break down the complete, start-to-finish components of the process—from job applications to offer negotiations—to help you feel confident and maximize your interview experience. Topics covered include: understanding the different flavors of Data Science positions and what best suits you; tailoring your resume to land the interview; technical skills: what to expect and how to prepare your skills in statistics, Python, ML, SQL, and more; communication skills: how to communicate your experiences and stand out; general tips for acing your interviews and negotiating your offers.
Introduction to Stock Market; Python Programming Fundamentals; Stock Market Data Analysis; Time Series Analysis in Finance; Machine Learning for Stock Market Prediction
Q&A session
Q&A session
Foundations of LLMs and Python Basics; Understanding Natural Language Processing; Transformers and Attention; LLM Development: Fine-tuning and Prompt Engineering; Retrieval-Augmented Generation (RAG); Introduction to LLM Agents; Advanced Topics for Production LLM Application
Foundations of LLMs and Python Basics; Understanding Natural Language Processing; Transformers and Attention; LLM Development: Fine-tuning and Prompt Engineering; Retrieval-Augmented Generation (RAG); Introduction to LLM Agents; Advanced Topics for Production LLM Application.