Data Science INTERVIEW PREP COURSE

Nail the Data Science Interview

Students enrolled: 1,386

Our Data Science Interview Course has been designed exclusively for all Data Science professionals looking to land a job at FAANG+ companies. In a span of 16 weeks, we cover the core concepts of data science and other required applications to help you nail your next tech interview. 

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Almost full
Next Batch
12th June, 2022
Location
Live & online
Duration
4 months (apx. 10 hours/week)

Engineers who chose to uplevel with IK got placed at

Suat Mercan
Senior Software Engineer
Srividya K
Senior Data Engineer
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Sr. Cloud Solution Architect
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Senior Software Engineer at
12,000+
Tech professionals trained
$1.267M
Highest offer received by an IK alum
65.6%
Average salary hike in 2021 for TPM course alums

What You'll Learn in the Data Science Interview Course

1
Fundamental and advanced concepts of Statistics
2
Math and theory behind Machine Learning Algorithms
3
Application of Machine Learning in real life
4
Advance concepts of SQL Programming
5
Deep Learning concepts
6
Analyzing the Time Series Dataset
7
Data Structures and Algorithms 
After completing the Data Science Course, you’ll have a 6-month support period during which you can schedule up to 15 mock interviews. During this period, you can also have one-on-one guidance sessions with FAANG+ Data Scientists/Research Scientists/Applied Scientists.
Who Is This Data Science Interview Course Best Suited for?
Inclusions
Why choose this course?

A typical week at Interview Kickstart

This is how we make your interview prep structured and organized. Our learners spend 10-12 hours each week on this course.

Thu

Foundation content
Get high quality videos and course material for the next week’s topic
Consists of introduction to fundamentals, interview-relevant topics and case studies
Assignment review session

Sun

Online live sessions
Attend 4 hour sessions that cover interview applications of TPM concepts
Each class has mini mock interviews with live feedback with a tier-1 tech instructor

Mon-Wed

Case studies & problems
Practice applying the concepts taught in live sessions
Discuss case studies solutions and practice answering framework in class
Live doubt solving from FAANG TPM IK instructors

Everyday

1:1 access to instructors
Personalized coaching from FAANG TPM IK instructors
Individualized and detailed attention to your questions
Solution walkthroughs
Contact for Pricing

Data Science Interview Course details and curriculum

If you were to search for Data Science courses, you would find many options online. So how do you pick the right one? You look at what all the course has to offer you. Our Data Science Course is designed by experts who have cracked the FAANG+ Data Science interviews and are also part of the hiring process at their companies.
Our Data Science Interview Course includes:
System design
3 weeks
3 live classes
Technical program management
6 weeks
6 live classes
6 assignments
Relevant technical domain course (optional)
5 weeks
5 live classes
5 assignments
Career Coaching
2 weeks
3 live classes
X assignments

Practice and track progress on UpLevel

UpLevel will be your all-in-one learning platform to get you MAANG-ready, with 10,000+ interview questions, timed tests, videos, mock interviews suite, and more.
Mock interviews suite
On-demand timed tests
In-browser online judge
10,000 interview questions
100,000 hours of video explanations
Class schedules & activity alerts
Real-Time progress update
27 programming languages

Meet your instructors

Our highly experienced instructors are active hiring managers and employees at FAANG+ companies and know exactly what it takes to ace tech and managerial interviews.

Yura Kostiukevych

Technical Program Manager
15+ years experience

Danielle Class

Sr. Technical Program Manager
8+ years experience

Daniel Hoffman

Program Manager
6+ years experience

Get upto 15 mock interviews with                      hiring managers

What makes our Mock Interviews the best:

Hiring managers from tier 1 companies like Amazon & Apple

Interview with the best. No one will prepare you better!

Domain specific interviews

Practice for your target domain - Technical Program Manager.

Detailed Personalized Feedback

Now you’ll know & can do better.

Transparent, Non-Anonymous Interviews

Get the most realistic experience possible.

Career impact

Our engineers land high-paying and rewarding offers from the biggest tech companies, including Facebook, Google, Microsoft, Apple, Amazon, Tesla, and Netflix.

Vineet Joglekar

Software Development Manager
Placed at:
“Interview Kickstart offers a comprehensive program to succeed in technical interviews. It helps you build a problem solving mindset, offers very rich foundational material (arguably even better than what you learned in college), introduces typical interview problems, offers technical and behavioral coaching sessions and mock interviews from industry experts. The structured curriculum helps you create a plan, rather than just randomly solving leetcode problems.”

Swapnil Tailor

Placed at:
"Interview Kickstart is like a fitness coach which guides you to achieve your dream job. It can help you identify your weak points and also suggest steps to improve them."

Strong Liang

Engineering Manager
Placed at:
“Interview Kickstart kept close touch with me and offered a lot of guidance and encouragement for navigating the interview scene. This was quite helpful. I joined Google after completing the course at Interview Kickstart."

How to enroll for the TPM course?

Learn more about Interview Kickstart and the TPM course by joining the free webinar hosted by Ryan Valles, co-founder of Interview Kickstart. You can also talk to our program advisors to get additional program-related details.
Already preparing or want a sneak peek? Try the TPM Interview Prep 7 day email course

A Free Guide to Kickstart your TPM career at MAANG

From the interview process and career path to interview questions and salary details — learn everything you need to know about Technical Program Manager careers at top tech companies.
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What to Expect at Technical Program Manager Interviews?

It’s important to prepare for Technical Program Manager interviews based on company-specific requirements. The Technical Program Manager interview process for companies like Google, Facebook, etc., differs slightly or significantly based on the company's requirements.
For example, at Facebook, you’ll be evaluated on your technical acumen, leadership qualities, and program management abilities, and at Google, you’ll be evaluated on general cognitive ability, leadership skills, the type of projects you’ve worked on, and how much of a cultural fit you’d be at Google.
For example, at Facebook, you’ll be evaluated on your technical acumen, leadership qualities, and program management abilities, and at Google, you’ll be evaluated on general cognitive ability, leadership skills, the type of projects you’ve worked on, and how much of a cultural fit you’d be at Google.
That said, the Technical Program Manager interview process generally has 3-5 rounds.
1
Phone screen
It starts with a recruiter phone screen that addresses your area of expertise and professional background and is heavy on behavioral questions.
2
Technical phone screen
Next, there’s either a technical phone interview that focuses on technical questions and technical eligibility or a phone interview where the two phone interviews are combined.
3
Writing assignment
Some companies like Amazon also do a writing exercise to test your communication skills before the on-site interview.
4
On-site interview
Finally, there’s the on-site interview, which usually has 4-6 rounds, including one-on-one interviews and panel discussions. You can expect these rounds:
2-3 Technical Program Manager hard skills rounds
Expect questions on program management, metrics, hypothetical and situational process design, program sense, planning and execution of projects, and risk management.
1 technical system design/scenario round
Expect a focus on technical skills, system design principles/scenarios, discussion on common structures used in Agile projects (e.g., epics, stories, themes), the difference between Kanban and Scrum, etc., basic software domain familiarity, what happens when a request is made via an API
1-2 soft skill or behavioral rounds
These rounds focus on criteria like leadership and collaboration skills to lead cross-functional teams, conflict management, delivering results, etc. You can expect questions related to job experience, discussions on past projects, and open-ended questions to gauge whether you're a "good fit."
In some cases, if they’re unsure about an aspect or think you’re a good fit for some other team/role, they may call you again for one more interview.

Data Science Interview Questions

Data Science interview questions can be based on a variety of topics. You can answer them if you identify common fundamentals.
Try answering these Technical Program Management interview questions:
1
Data Science Interview Questions on Coding
Write a code that takes a number from the user and outputs all Fibonacci numbers less than the user input.
Given: The CDF of a distribution. Find: The mean.
Given: Two numbers a, b ;a<b. Find: Output of f(a,b) = g(a) + g(a+1) +g(a+2) +…+ g(b-2) + g(b-1) + g(b), where g(x) is defined as all Fibonacci numbers less than x.
Given: A number X. Find: The smallest sum of two factors (a, b) of X.
Given: Person A decides to go on a skydiving trip. Based on his research, the probability of a glitch resulting in death is 0.001. Find: The probability of death if A goes on 500 skydives.
2
Domain-specific Data Science Interview Questions
Define the ROC curve.
What is meant by the true positive rate and false-positive rate?
What are the steps involved in making a decision tree?
Given a data set consisting of variables with more than 30 percent missing values, how will you deal with them?
Define dimensionality reduction and list its advantages.
Explain how you would calculate eigenvalues and eigenvectors of the following 3x3 matrix.
How to deal with unbalanced binary classification?
Differentiate between normalization and standardization.
Python or R – Which one would you prefer for text analytics?
Why does data cleaning play a vital role in the analysis?
3
Data Science Interview Questions on Behavioral Skills
Walk us through a project you’re very proud of.
Have you ever used data science to inform a business decision?
How well do you communicate technical concepts to non-technical team members?
How have you used data to elevate the experience of a customer or stakeholder?
Describe when you had to clean and organize a big data set.
You’ll learn how to answer these questions in our Technical Program Management Course. For more such content and Senior Technical Program Management interview questions, read our articles on Amazon Technical Program Manager interview questions and Google Technical Program Manager interview questions. You can also check our post on sample Technical Program Manager interview questions and answers.

Data Science Career

The Data Scientist career paths have been booming, and this trend is expected to continue in the upcoming years. Our Data Science Interview Course can help you gain the required skills to land the best job offers in top tech companies.
1
Data Science Job Roles and Responsibilities
A Data Scientist’s career path features two main career tracks:
Bachelor’s degree or equivalent professional experience.
Proven experience independently identifying and delivering operational improvement projects.
Experience going through a complete product lifecycle, integrating customer feedback into product requirements, driving prioritization, and pre/post-launch execution.
Experience driving product vision, go-to-market strategy, and design discussions.
Proven history of converting learnings from customer insights into tangible product features that customers love.
Ability to solve complex and ambiguous problems, including identifying and completing the relevant data analysis.
Ability to think and act both strategically and tactically.
Some technical product management experience like creating strategic product roadmaps and working with cross-functional teams.
Communication skills and experience working with highly technical teams and communicating with non-technical partners.
Problem-solving skills, attention to detail, organizational skills, and a focus on continuous improvement.
Interpersonal skills, including relationship building and collaboration within diverse, cross-functional teams.
Experience operating autonomously across multiple teams.
Don’t forget to thoroughly read the Technical Program Manager job description for the specific role you’re applying for. The Technical Program Manager job description differs depending on the position, level, and the company.
2
Preferred qualifications for Technical Program Manager jobs, especially Senior Technical Program Manager jobs:
MBA/MS and 3+ years’ relevant experience, including program or product management experience.
Strong resourcefulness and ability to find or develop compelling data given limited resources and time.
Self-motivation with the ability to multi-task and prioritize in demanding situations and meet deadlines.
Effective working in a cross-functional environment with technical, business operations, and product management teams.
Check our article on Facebook TPM roles and responsibilities for more details.
3
Technical Program Manager Job Requirements: Roles and Responsibilities
For a Technical Program Manager in a tier-1 company, the career progression is slightly different:
For a PgM, the career progression looks like Technical Program Manager 1→-> Technical Program Manager 2→-> Senior Technical Program Manager  -> Principal Technical Program Manager

Data Scientist Salary and Levels at FAANG+ Companies

The average Data Scientist's salary range is between $105,750 and $180,250 per year. However, total compensation varies considerably depending on the company, location, employee value, years of experience, and core skills.
We've listed the Data Scientist salary ranges for various FAANG+ companies below to give you a better idea of how they differ by level:
Facebook Data Scientist Salary
The different levels of Data Scientists at Facebook are:
IC3 (Associate Data Scientist): This is typically the level at which fresher Data Science Engineers or Software Engineers are hired.
IC4: Those hired at this level should have 3-5 years of industry experience. However, new grads can also be hired at this level, provided they can demonstrate skill and expertise.
IC5: Data Scientists hired at IC5 have at least 6-9 years of industry experience as they are required to lead complex projects on their own. Also considered the “terminal” level before a Data Scientist moves into the management domain as IC5 onwards, they perform more managerial responsibilities.
IC6: Most Data Scientists working at this level have almost 9+ years of experience.
IC7 and IC8: These levels require more than 10 years of experience.
Technical Program Manager at Facebook
Average compensation by level
Level name
Total
Base
Stock (/yr)
Bonus
IC3
$168k
$127K
$29K
$14K
IC4
$222k
$155K
$48K
$19K
IC5
$302K
$184K
$90K
$29K
IC6
$404K
$218K
$142K
$44K
Amazon Data Scientist Salary
Amazon has its own Data Scientist job levels. They are:
L4: Entry-level Data Scientists with less than four years of experience pursuing advanced degrees. They need to be skilled in at least one scripting language and familiar with SQL.
L5: Mid-level Data Scientists have four to seven years of experience and may also have the title of Data Scientist II. At this level, Data Scientists usually have a Master’s degree with a good knowledge of coding.
L6: This level is for Data Scientists who have advanced degrees like Ph. Ds in Machine Learning, Natural Language Processing, etc., based on their area of specialization. The level includes several managerial positions as well.
L7: This level is for Principal Data Scientists with 10+ years of experience. These employees have several management responsibilities and essentially run the teams.
Technical Program Manager at Facebook
Average compensation by level
Level name
Total
Base
Stock (/yr)
Bonus
L4
$175K
$132K
$26K
$21K
L5
$227K
$150K
$57K
$27K
L6
$315K
$160K
$140K
$19K
L7
$638K
$185K
$419K
$42K
Apple Data Scientist Salary
On average, the Apple Data Scientist’s salary is $170,871 per year in the US. It can range from $94k to $257k, depending upon your experience, location, skill sets, and many other factors.
Apple’s lowest Technical Program Manager salary tends to be higher than the lowest Technical Program Manager salary at other FAANG companies.
Technical Program Manager at Facebook
Average compensation by level
Level name
Total
Base
Stock (/yr)
Bonus
ICT3
$207K
$149K
$41K
$17K
ICT4
$289K
$175K
$96K
$20K
ICT5
$395K
$220K
$145K
$33K
Apple Technical Program Manager Salary
An Apple Technical Program Manager can earn a total annual salary anywhere between $213k (ICT3) to $390k (ICT5), depending on the level of the Technical Program Manager.
For an ICT5 with a $390k per annum salary, the split is around $210k as the base, $147k as stocks, and $ 33k as a bonus.
For an ICT5 with a $390k per annum salary, the split is around $210k as the base, $147k as stocks, and $ 33k as a bonus.
Apple’s lowest Technical Program Manager salary tends to be higher than the lowest Technical Program Manager salary at other FAANG companies.
Technical Program Manager at Apple
Average compensation by level
Level name
Total
Base
Stock (/yr)
Bonus
ICT3
$213K
$151K
$43K
$19K
ICT4
$276K
$179K
$74K
$24K
ICT5
$390K
$210K
$147K
$33K
Netflix Data Scientist Salary
Unlike other companies such as Amazon and Apple, Netflix doesn’t have job levels. The company is known for hiring only senior professionals, like, Senior Data Scientists. However, even in this position, salary tends to differ.
Based on your experience and accomplishments, the Netflix Data Scientist salary ranges from $200,000 to $400,000. On average, a Senior Data Scientist at the company earns around $322,272 per year.
However, Netflix does offer a few opportunities for entry-level positions where the Data Scientist can earn around $127,000.
Technical Program Manager at Netflix
Average compensation by level
Level name
Total
Base
Stock (/yr)
Bonus
Sr. SW. Engineer
$305K
$275K
$14K
$13K
Google Data Scientist Salary
With a user base spanning hundreds of millions, you can imagine how valuable Data Scientists must be to Google. The company employs almost 140,000 people globally, divided into teams; almost each of these teams has a Data Scientist.
There are nine different job levels at Google:
L3 (Data Scientist II): An entry-level position with 0-1 year of experience
L4 (Data Scientist III): Requires 2-5 years of experience
L5 (Senior Data Scientist): Requires over five years of experience
L6 (Staff Data Scientist): Requires 5-8 years of experience
L7 (Senior Staff Data Scientist): Requires over eight years of experience
L8-L11: Executive roles; only employees with considerable experience within Google are eligible for these positions
Technical Program Manager at Netflix
Average compensation by level
Level name
Total
Base
Stock (/yr)
Bonus
L3
$158K
$119K
$32K
$14K
L4
$233K
$150K
$58K
$26K
L5
$307K
$181K
$96K
$32K
L6
$548K
$228K
$257K
$51K
Salary Details of Technical Program Managers at Other Tier-1 Companies
Knowing the Technical Program Manager's salary details for other tier-1 companies can help you evaluate your options better. We’ve curated the salaries associated with each of these companies at different levels:
Technical Program Manager at Google
Average compensation by level
L3
L4
L5
L6
Microsoft
$173K
$174K
$193K
$274K
Uber
NA
NA
$312K
NA
Twitter
NA
NA
NA
$298K
LinkedIn
NA
$215K
NA
NA
Average
$154K
$212.6K
$282.6K
$308.75K
You can learn more about more related topics on our companies page.

Companies Hiring Data Science Engineers

FAANG+ companies are regarded as the best places to work in technology. Pursuing a Data Scientist career path at these companies is enviable given their leadership status, ability to pay high salaries, opportunity to work on new or cutting-edge technologies and projects, and ability to attract the industry's most talented engineering minds.
However, almost every industry deals with Big Data these days, and there is an ever-widening adoption of Data Science technologies in the market. Besides tech, the demand for Data Scientists is high in the following industries:
Interview Kickstart has helped thousands of engineers land their dream jobs (from entry-level to director-level roles) at the best tech companies globally, including Google, Facebook, Amazon, Apple, Netflix, and Microsoft, among others.
$50K - $200K
Salary hike range for candidates who chose to level up
18
Salary hike range for candidates who chose to level up
Some of the top companies that have hired IK alums:

FAQs on Data Science Interview Course

1
What does a Data Scientist do?
2
Is IK’s Data Science Interview Course just for professionals working as Data Scientists in non-FAANG+ companies?
3
Why is system design not covered in IK’s Data Science Interview Course?
4
What skills are required to become a Data Scientist?
5
What qualifications are required to become a Data Scientist?
6
I am working as a Business Intelligence Analyst. Can this course help me to target roles such as Data Scientist?

How to enroll for the TPM course?

Learn more about Interview Kickstart and the TPM course by joining the free webinar hosted by Ryan Valles, co-founder of Interview Kickstart. You can also talk to our program advisors to get additional program-related details.
Already preparing or want a sneak peek? Try the TPM Interview Prep 7 day email course