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Camille Funk
Prepare yourself for interviewing and landing a job in the DS/AI field. In this course, we will discuss what needs to be done before, during, and after the interview process. We will also provide tips and tricks on how to practice for a major component of data science interviews: the technical interview. Finally, this course will cover best practices for accepting or declining a job offer, salary negotiations, and how to create a career development plan.
By the end of this course, students will be able to:
• Recall what actions need to be done before, during, and after an interview.
Read more
Prepare yourself for interviewing and landing a job in the DS/AI field. In this course, we will discuss what needs to be done before, during, and after the interview process. We will also provide tips and tricks on how to practice for a major component of data science interviews: the technical interview. Finally, this course will cover best practices for accepting or declining a job offer, salary negotiations, and how to create a career development plan.
By the end of this course, students will be able to:
• Recall what actions need to be done before, during, and after an interview.
Read more
Prepare yourself for interviewing and landing a job in the DS/AI field. In this course, we will discuss what needs to be done before, during, and after the interview process. We will also provide tips and tricks on how to practice for a major component of data science interviews: the technical interview. Finally, this course will cover best practices for accepting or declining a job offer, salary negotiations, and how to create a career development plan.
By the end of this course, students will be able to:
• Recall what actions need to be done before, during, and after an interview.
• Discuss a technical interview preparation plan.
• Identify job offer acceptance or refusal best practices.
• Create a career development plan.
Register for this course and see more details by visiting:
OpenCourser.com/course/ctd6pt/interviewing
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What's inside
Syllabus
Develop and Refine Your Interviewing Skills
Welcome to Module 1, Develop and Refine Your Interviewing Skills. After deciding on a position, updating your materials, and applying for jobs in the first two courses, now it’s time to prepare for interviews. In this module, we will discuss what research and preparation need to happen before an interview, what to do and say during an interview, and what actions need to be taken soon after an interview. We’ll conclude this module with a reflection on past interviews that might have included some sour notes and what can be done differently in the future.
Read more
Syllabus
Develop and Refine Your Interviewing Skills
Welcome to Module 1, Develop and Refine Your Interviewing Skills. After deciding on a position, updating your materials, and applying for jobs in the first two courses, now it’s time to prepare for interviews. In this module, we will discuss what research and preparation need to happen before an interview, what to do and say during an interview, and what actions need to be taken soon after an interview. We’ll conclude this module with a reflection on past interviews that might have included some sour notes and what can be done differently in the future.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Develops technical skills for data science job interviews
Offers insights into salary negotiation
Provides guidance on career development for data science professionals
Teaches how to prepare for technical interviews
Covers the entire interview process, from preparation to follow-up
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Reviews summary
Job search & ds/ai career planning
According to the course outline, this program is designed to provide comprehensive guidance for professionals navigating the job market, especially within the DS/AI field. Learners can expect to develop refined interviewing skills, learn strategies for technical interview preparation, and understand best practices for negotiating job offers. The course also emphasizes strategic career planning, making it a valuable resource for those looking to advance their professional journey. While it appears to offer a solid foundation, highly experienced professionals might find some sections to be more of a review than a deep dive into advanced topics.
Guides the creation of a personalized long-term career plan.
"I found the framework for creating a personal career development plan incredibly useful for my future."
"The course helped me identify various career paths within the DS/AI field, even beyond management."
"I now have a clear roadmap for advancing my career, leveraging the skills learned throughout the specialization."
Provides practical advice for securing the best job offer.
"I gained valuable strategies for negotiating salary and benefits, which feels empowering."
"Learning the best practices for accepting or declining job offers gave me much-needed clarity."
"The course empowered me to approach job offer negotiations with greater confidence and informed tactics."
Addresses specific challenges of DS/AI technical interviews.
"The insights into common technical interview questions for DS/AI roles are precisely what I needed."
"I appreciated the focus on specific strategies and resources for practicing data science interview problems."
"This module helped me understand the nuances of performing well in technical interviews unique to my field."
A holistic approach covering all phases of the interview process.
"I found the guidance on what to do before, during, and after an interview to be exceptionally thorough."
"This course clearly lays out the critical steps needed to prepare for and navigate a job interview effectively."
"I learned practical actions to take at every stage of the interview, enhancing my overall preparedness."
May offer foundational insights, potentially less advanced for seasoned professionals.
"While comprehensive, I felt some sections might be more of a review for very experienced professionals."
"I was hoping for more in-depth coverage on highly specialized technical interview challenges."
"As an experienced candidate, some advice felt general, though still broadly applicable."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Interviewing, Negotiating a Job Offer, and Career Planning with these
activities:
Compile and Review Study Materials
Show steps
Organize and review your notes, assignments, and resources to solidify your understanding.
Browse courses on
Interview Preparation
Show steps
-
Gather notes, assignments, and practice problems
-
Organize them into a logical structure
-
Review the materials regularly
Read 'Cracking the Coding Interview' by Gayle Laakmann McDowell
Show steps
Gain a comprehensive understanding of technical interview strategies and problem-solving techniques.
View
Cracking the Coding Interview: 189 Programming...
on Amazon
Show steps
-
Purchase or borrow the book
-
Read through the chapters covering data science interview topics
-
Attempt the practice problems and coding challenges
-
Review the solutions and explanations
Follow Online Courses on Interview Preparation
Show steps
Learn from experienced professionals and gain structured guidance on interview techniques.
Browse courses on
Interview Preparation
Show steps
-
Identify reputable online platforms offering data science interview preparation courses
-
Enroll in a course that fits your schedule and learning style
-
Complete the video lessons, assignments, and practice exercises
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Data Science Interview Questions
Show steps
Build confidence by preparing for common technical interview questions in data science.
Show steps
-
Identify frequently asked data science interview questions
-
Review fundamental data science concepts and algorithms
-
Practice solving data science problems using coding tools
-
Simulate mock interviews to test your communication skills
Attend Data Science Interview Preparation Workshops
Show steps
Gain insights from industry experts and practice your interviewing skills in a supportive environment.
Browse courses on
Interview Preparation
Show steps
-
Research and identify upcoming data science interview preparation workshops
-
Register for a workshop that aligns with your needs
-
Attend the workshop and actively participate in discussions and exercises
Coding Challenges and LeetCode Practice
Show steps
Sharpen your coding skills and prepare for technical interview coding questions.
Browse courses on
Coding Challenges
Show steps
-
Choose a coding challenge platform
-
Select appropriate challenges based on difficulty and relevance
-
Solve coding problems regularly
-
Optimize code for efficiency and readability
Attend Data Science Meetups and Conferences
Show steps
Connect with professionals in the field, explore job opportunities, and expand your knowledge.
Browse courses on
Networking
Show steps
-
Find local data science meetups and conferences
-
Attend events that align with your interests
-
Network with attendees, including recruiters, hiring managers, and industry experts
Compile and Review Study Materials
Show steps
Organize and review your notes, assignments, and resources to solidify your understanding.
Browse courses on
Interview Preparation
Show steps
Show steps
Show steps
- Gather notes, assignments, and practice problems
- Organize them into a logical structure
- Review the materials regularly
Read 'Cracking the Coding Interview' by Gayle Laakmann McDowell
Show steps
Gain a comprehensive understanding of technical interview strategies and problem-solving techniques.
View
Cracking the Coding Interview: 189 Programming...
on Amazon
Show steps
Show steps
Show steps
- Purchase or borrow the book
- Read through the chapters covering data science interview topics
- Attempt the practice problems and coding challenges
- Review the solutions and explanations
Follow Online Courses on Interview Preparation
Show steps
Learn from experienced professionals and gain structured guidance on interview techniques.
Browse courses on
Interview Preparation
Show steps
Show steps
Show steps
- Identify reputable online platforms offering data science interview preparation courses
- Enroll in a course that fits your schedule and learning style
- Complete the video lessons, assignments, and practice exercises
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Data Science Interview Questions
Show steps
Build confidence by preparing for common technical interview questions in data science.
Show steps
Show steps
Show steps
- Identify frequently asked data science interview questions
- Review fundamental data science concepts and algorithms
- Practice solving data science problems using coding tools
- Simulate mock interviews to test your communication skills
Attend Data Science Interview Preparation Workshops
Show steps
Gain insights from industry experts and practice your interviewing skills in a supportive environment.
Browse courses on
Interview Preparation
Show steps
Show steps
Show steps
- Research and identify upcoming data science interview preparation workshops
- Register for a workshop that aligns with your needs
- Attend the workshop and actively participate in discussions and exercises
Coding Challenges and LeetCode Practice
Show steps
Sharpen your coding skills and prepare for technical interview coding questions.
Browse courses on
Coding Challenges
Show steps
Show steps
Show steps
- Choose a coding challenge platform
- Select appropriate challenges based on difficulty and relevance
- Solve coding problems regularly
- Optimize code for efficiency and readability
Attend Data Science Meetups and Conferences
Show steps
Connect with professionals in the field, explore job opportunities, and expand your knowledge.
Browse courses on
Networking
Show steps
Show steps
Show steps
- Find local data science meetups and conferences
- Attend events that align with your interests
- Network with attendees, including recruiters, hiring managers, and industry experts
Career center
Learners who complete Interviewing, Negotiating a Job Offer, and Career Planning will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists are responsible for collecting, analyzing, and interpreting large amounts of data to extract meaningful insights and help businesses make informed decisions. This course can provide Data Scientists with the skills they need to prepare for and succeed in interviews, including how to answer technical questions and negotiate job offers. It can also help them develop a career development plan to advance their careers.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, building, and maintaining machine learning models. This course can provide Machine Learning Engineers with the skills they need to prepare for and succeed in interviews, including how to answer technical questions and negotiate job offers. It can also help them develop a career development plan to advance their careers.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. This course can provide Data Analysts with the skills they need to prepare for and succeed in interviews, including how to answer technical questions and negotiate job offers. It can also help them develop a career development plan to advance their careers.
Business Analyst
Business Analyst
Business Analysts are responsible for understanding business needs and translating them into technical requirements. This course can provide Business Analysts with the skills they need to prepare for and succeed in interviews, including how to answer technical questions and negotiate job offers. It can also help them develop a career development plan to advance their careers.
Software Engineer
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. This course may be useful for Software Engineers who are interested in working in the field of data science or machine learning.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts are responsible for using mathematical and statistical models to analyze financial data and make investment decisions. This course may be useful for Quantitative Analysts who are interested in developing their skills in data science or machine learning.
Actuary
Actuary
Actuaries are responsible for assessing and managing financial risk. This course may be useful for Actuaries who are interested in developing their skills in data science or machine learning.
Statistician
Statistician
Statisticians are responsible for collecting, analyzing, and interpreting data. This course may be useful for Statisticians who are interested in developing their skills in data science or machine learning.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts are responsible for using mathematical and analytical techniques to improve the efficiency of business operations. This course may be useful for Operations Research Analysts who are interested in developing their skills in data science or machine learning.
Financial Analyst
Financial Analyst
Financial Analysts are responsible for analyzing financial data and making investment recommendations. This course may be useful for Financial Analysts who are interested in developing their skills in data science or machine learning.
Market Research Analyst
Market Research Analyst
Market Research Analysts are responsible for conducting research to understand consumer behavior and trends. This course may be useful for Market Research Analysts who are interested in developing their skills in data science or machine learning.
Data Governance Specialist
Data Governance Specialist
Data Governance Specialists are responsible for developing and implementing policies and procedures to ensure the accuracy, integrity, and security of data. This course may be useful for Data Governance Specialists who are interested in developing their skills in data science or machine learning.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course may be useful for Database Administrators who are interested in developing their skills in data science or machine learning.
Data Engineer
Data Engineer
Data Engineers are responsible for designing, building, and maintaining data infrastructure. This course may be useful for Data Engineers who are interested in developing their skills in data science or machine learning.
Cloud Architect
Cloud Architect
Cloud Architects are responsible for designing and managing cloud computing systems. This course may be useful for Cloud Architects who are interested in developing their skills in data science or machine learning.
For more career information including salaries, visit:
OpenCourser.com/course/ctd6pt/interviewing
Reading list
We've selected 13 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Interviewing, Negotiating a Job Offer, and Career Planning.
Provides a comprehensive set of coding interview questions and solutions. It valuable resource for practicing technical interview questions and improving your problem-solving skills.
Provides practical advice and strategies for negotiating your salary and benefits. It valuable resource for understanding the process and maximizing your earning potential.
Provides guidance and exercises for career planning and development. It useful resource for exploring career paths, setting goals, and creating a plan to achieve your career aspirations.
Save
Provides a comprehensive overview of deep learning concepts and techniques. It valuable reference for gaining a deeper understanding of deep learning and its applications in various fields.
Provides an introduction to reinforcement learning concepts and algorithms. It useful resource for gaining a foundational understanding of reinforcement learning and its applications.
Save
Provides a comprehensive overview of design of experiments concepts and techniques. It valuable reference for gaining a deeper understanding of design of experiments and its applications in various fields.
Provides a comprehensive overview of regression and multilevel/hierarchical models. It valuable reference for gaining a deeper understanding of these statistical techniques and their applications in various fields.
Save
Provides a comprehensive overview of causal inference concepts and techniques. It valuable reference for gaining a deeper understanding of causal inference and its applications in various fields.
Provides a comprehensive overview of statistical learning concepts and techniques. It valuable reference for gaining a deeper understanding of statistical learning and its applications in various fields.
Provides a comprehensive overview of machine learning concepts and techniques from a probabilistic perspective. It valuable reference for gaining a deeper understanding of machine learning and its applications in various fields.
Provides a comprehensive overview of deep learning concepts and techniques using Python. It valuable reference for gaining a deeper understanding of deep learning and its applications in various fields.
Provides a comprehensive overview of machine learning concepts and techniques using Python. It valuable reference for gaining a deeper understanding of machine learning and its applications in various fields.
Provides a comprehensive overview of data science concepts and techniques using Python. It valuable reference for gaining a deeper understanding of data science and its applications in various fields.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ctd6pt/interviewing
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Rating
4.9
Effort
13 hours to complete
Level
Introductory
Via
Coursera
Institution
University of California, Irvine
Instructor
Camille Funk
Language
English
This course belongs to a
collection
called
Interviewing for DS/AI Roles. It's comprised of three courses:
- Interviewing, Negotiating a Job Offer, and Career Planning (viewing)
- Finding and Preparing for the Right Job
- Identifying the Right Role for Yourself
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