How to Start a Career in Data Science 2023 course will teach students how to create data science project portfolio and help them to land a job in data science. The course also helps to ace behavioral and technical questions that are asked in the interview.

The course gives in-depth knowledge of data science, types of roles in data science, and interview process structure. The course will also help students learn valuable information that can give them a much-needed edge over other candidates. The courses are usually available at INR 3,499 on Udemy but you can click now to get 87% off and get How to Start a Career in Data Science 2023 for INR 449.

Who all can opt for this course?

  • Students who want to learn more about data science or become a data scientist
  • Candidates who desire a successful job can take this course

Course Highlights

Key HighlightsDetails
Registration LinkApply Now!
PriceINR 449 (INR 3,49987% off
Duration4.5 Hours
Student Enrollment3,315 students
Instructor365 Careers
Topics CoveredData science project portfolio, data science phone interview, and in-person data science interview
Course LevelBeginner
Total Student Reviews356

Learning Outcomes

  • How to find employment in data science
  • Make a portfolio of data science projects
  • Create a resume
  • Networking can help aspirants land an interview
  • How to achieve success in the phone interview
  • How to complete the take-home exam
  • How to ace the technical and behavioural tests

Course Content

S.No.Module (Duration)Topics
1.Course Introduction (12 minutes)What does the course cover?
The data science knowledge you need
Types of roles in data science
The interview process structure
What interviewers look for
How to get the most out of the course
2.The data science project portfolio (37 minutes)Portfolio overview
What is a data science project?
The projects you should do
How to differentiate your projects
Asking a favor
Where to showcase your projects
Projects on Github
Projects on Kaggle
Bonus content: Portfolio website
3.The data science resume (20 minutes)Resume overview
How to structure your resume
How to write about work and projects
Customize your resume
Your virtual resume
Resume checklist
Data science cover letters
Bonus content: LinkedIn
4.Getting a data science interview (09 minutes)Interviewing overview
How candidates are selected
Networking for data scientists
Leveraging your resources
Informational interviews
Reaching out to recruiters
5.The data science phone interview (05 minutes)Phone interview overview
What to expect
How to prepare
How to succeed
6.The take-home test (08 minutes)The types of take-home tests
Dealing with data sets
Coding quizzes
Written test
7.The in-person data science interview (09 minutes)What to expect
Ace the behavioral interview
Technical interviews
Following up
The briefcase method
8.Bonus content: Interviews with successful data scientists (02 hours 33 minutes)Anna interview
Jaemin Interview
Jay interview
Jefferson interview
Sheng interview
Mock interview with Rachel Castellino
Elevator pitch
Star storytelling technique
9.Bonus downloadable materials (21 seconds)Resume and cover letter templates and checklist
Reach out templates
Interview questions

Resources Required

  • Anyone interested in a career in data science can take the course

Featured Review

Jaime Alfonso González M. (5/5) : Ken gives useful tips on how to start a career in this area. I liked the resume and portfolio sections but felt a bit long the bonus content (given that it is compulsory)


  • James Reynolds (5/5) : This course gives a road map for me to follow toward a successful career.
  • Dimitri L. Koch (4/5) : In a nutshell: if you’re on the search for a good overview of data science incl.
  • Mirza Hyder Baig (5/5) : You can questions like ” As per Ken recruiters are looking for…..options” or “As per Ken, a good resume must have this part”.
  • ANKUR SRIVASTAVA (5/5) : I am loving Bonus Materials and Interviews with successful data scientists.


  • Mow Y. C. (2.5/5) : Too basic and waste of time.
  • Moshe K. (2/5) : This course don’t have any professional content whatsoever. I would say it’s a nice tips for resume in general, but have nothing to do with data science.

About the Author

The instructor of this course is 365 Careers who is a Creating opportunities for Data Science and Finance students. With 4.6 Instructor Rating and 659,242 Reviews on Udemy, he/she offers 91 Courses and has taught 2,288,609 Students so far.

  • On Udemy, 365 Careers is the top-selling provider of courses in business, finance, and data science
  • In 210 different countries, more than 2,000,000 students have taken the company’s courses
  • Individuals who have finished 365 Careers trainings now work at renowned companies like Apple, PayPal, and Citibank
  • In Udemy right now, 365 focuses on the following subjects: 1) Finance – Financial modelling in Excel, valuation, capital budgeting, financial statement analysis (FSA), investment banking (IB), leveraged buyout (LBO), corporate budgeting, using Python for finance, Tesla valuation case study, CFA, ACCA, and CPA 2) Data science – Credit Risk Modeling and Credit Analytics, Data Literacy, Product Management, Pandas, Numpy, Python Programming, Data Strategy, Statistics, Mathematics, Probability, SQL, Python Programming, Python for Finance, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the Integration of SQL and Tableau, the Integration of SQL, Python, Tableau, and Power BI Entrepreneurship: Business Strategy, HR Management, Marketing, Decision-Making, Negotiation, and Persuasion, as well as Tesla’s Business Strategy and Marketing 4) Office productivity, including Microsoft Word, Excel, PowerPoint, and Outlook 5) Business Blockchain Every one of our courses is: Pre-scripted, practical, laser-focused, interesting, and tested in real-world situations By selecting 365 Careers, you can be certain that you will learn from seasoned professionals who are passionate about sharing their knowledge and will help you go from a beginner to a pro in the shortest amount of time
  • The courses offered by 365 Careers are the ideal place to start whether you want to work as a financial analyst, data scientist, business analyst, data analyst, business intelligence analyst, business executive, finance manager, FP&A analyst, investment banker, or entrepreneur.

Comparison Table

ParametersHow to Start a Career in Data Science 2023Statistics for Data Science and Business AnalysisData Science Career Guide – Interview Preparation
OffersINR 455 (INR 3,499) 87% offINR 455 (INR 3,499) 87% offINR 455 (INR 3,499) 87% off
Duration4.5 hours5 hours4 hours
Rating4.6 /54.6 /54.7 /5
Student Enrollments3,315169,36120,410
Instructors365 Careers365 CareersJose Portilla
Register HereApply Now!Apply Now!Apply Now!

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