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Description of  Ace The Junior Data Scientist Interview RealLife Exercises

Published 3/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 917.89 MB | Duration: 1h 46m Land Your First Data Science Job: Hands-On Interview Prep, Coding Tests, Tips, and Insights for Entry Level Candidates What you'll learn Demonstrate proficiency in Python programming and knowledge of fundamental data structure theory Learn to write code that is not only correct but also optimized for performance, a key employer expectation Navigate the interview process for junior data scientist positions, from initial application to final interview stages, with a clear view of expectations Identify your strengths and areas for improvement in data science concepts and interview skills, setting the stage for continuous learning and development Confidently discuss data science projects and experiences, using them to effectively demonstrate your skills and capabilities in interviews Analyze and critique sample interview responses, deepening your understanding of what employers are looking for in junior data scientist candidates Recognize and improve inefficient code in real-world coding exercises, mirroring employer expectations Grasp Big O Notation to describe time complexity, a vital skill for discussing code efficiency in interviews Requirements You should have familiarity in writing Python code A working Python environment, preferably above version 3.7 Description Overview Section 1: Introduction Lecture 1 Welcome! Section 2: Job Application Essentials Lecture 2 Soft Skills Lecture 3 Resume Essentials Section 3: SQL Skills Lecture 4 SQL Lecture 5 SQL Coding Exercise 1 Lecture 6 SQL Coding Solution 1 Lecture 7 SQL Coding Exercise 2 Lecture 8 SQL Coding Solution 2 Lecture 9 SQL Outro Section 4: Data Science Skills Lecture 10 Data Science Theorerical Questions Lecture 11 Data Science Take-Home Exercise Lecture 12 Data Science Take-Home Solution Lecture 13 Data Science Outro Section 5: Coding Skills Lecture 14 Coding Skills Introduction Lecture 15 Coding Principles Lecture 16 Algorithmic Time Complexity Lecture 17 Coding Exercise 1 Lecture 18 Coding Solution 1 Lecture 19 Coding Exercise 2 Lecture 20 Coding Solution 2 Lecture 21 Coding Exercise 3 Lecture 22 Coding Solution 3 Lecture 23 Coding Exercise 4 Lecture 24 Coding Solution 4 Section 6: Outro Lecture 25 Congratulations! Entry or junior level candidates in the Data Science field,Mid to senior professionals who want to refresh their skills