Brief Introduction
Knowing what to expect and practicing are keys to technical interview success. But, knowing the right answer is only part of the process. You also need to show how you tackle problems and communicate your thinking. In this course, you'll learn how to approach an interview not as a test, but a showcase. You'll learn to prepare not through memorization, but through process. You'll learn tips for remaining calm so you can answer with confidence to show your expertise. This course will help you prepCourse Summary
This course is designed to help you prepare for data science interviews by reviewing important concepts, practicing answering common interview questions, and providing tips on how to make a good impression.Key Learning Points
- Learn key data science concepts and techniques
- Practice answering common interview questions
- Get tips on how to make a good impression
Related Topics for further study
- Data Science Concepts
- Interview Preparation
- Common Interview Questions
- Impression Management
- Data Analysis Techniques
Learning Outcomes
- Understand key data science concepts and techniques
- Be prepared to answer common interview questions
- Make a good impression during data science interviews
Prerequisites or good to have knowledge before taking this course
- Basic knowledge of data science concepts and techniques
- Familiarity with common interview questions
Course Difficulty Level
BeginnerCourse Format
- Online
- Self-paced
Similar Courses
- Data Science Essentials
- Applied Data Science with Python
Related Education Paths
Notable People in This Field
- Kirk Borne
- Hilary Mason
Related Books
Description
Prepare for data science interviews by practicing data analysis, machine learning, and data structure and algorithms questions.Requirements
- Students should have experience with the following technical skills: Python (intermediate) SQL (intermediate) Statistics and Probability (intermediate) Algorithms (Basic) Supervised Machine Learning (intermediate) Don't yet have these technical skills but want to master them? Enroll in one of the following Nanodegree programs: Data Scientist Nanodegree Data Analyst Nanodegree Machine Learning Engineer Nanodegree See the Technology Requirements for using Udacity.
Knowledge
- Instructor videosLearn by doing exercisesTaught by industry professionals
Outline
- lesson 1 Ace the Data Scientist Interview Explore jobs and roles in Data Science Learn how to effectively solve problems lesson 2 Data Analysis Interview Practice Query a SQL database Evaluate free throw probability Maximize difference in an integer array and design a spam classifier lesson 3 Machine Learning Interview Practice Predict rain identify fish detect plagiarism Reduce data dimensionality Explore how SVMs work lesson 4 Practice Interviewing Practice Mock Interviews with Pramp! lesson 5 Behavioral Questions Master behavioral interview questions Learn how to get past interview "fails"
Summary of User Reviews
The Data Science Interview Prep course by Udacity has received positive reviews from many users. The course covers a wide range of topics and provides comprehensive preparation for data science interviews. One key aspect that many users appreciated was the practical approach of the course, which helped them gain hands-on experience in solving real-world problems. However, some users found the course to be challenging and time-consuming.Pros from User Reviews
- Comprehensive coverage of data science interview topics
- Practical approach with hands-on experience
- Experienced instructors with industry knowledge
- Engaging and interactive course content
- Useful resources and tools for interview preparation
Cons from User Reviews
- Challenging and time-consuming course material
- Some topics may require prior knowledge or experience
- Limited support and feedback from instructors
- Expensive course fees for some users
- No certification or credential upon completion
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