SIX MONTHS – ONLINE – OFFLINE – 1:1 MENTORING – CAREER-FOCUSED

DataScience Career Track:
Career Transition guaranteed.

The only Datascience program in India with a job guarantee.
Enroll Today
  • 95% Hands-on
  • 94% Hired Rate
  • $0 if you don’t launch a career
  • One more
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  • EMI Facility
  • Industry Leaders as Faculty
  • Lifetime Assistance
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How PBS prepares you for a Data Science career

Build job-ready skills

Master foundations of data science and choose your focus area: advanced machine learning, natural language processing, or deep learning.

Develop a professional portfolio

Complete 14 real-life projects, including two industry-worthy capstone projects to showcase your skills to employers.

Launch your dream career

Make yourself hireable with personalized career coaching and 1:1 mentorship from industry experts

Data Science Career Track with Online Classroom

FullStack Career Track
with Online Classroom
6 months | ₹1,00,000/-
  • Learn from Top-Rated Faculty
  • 30 hours of interactive Online Classroom Sessions
  • 30 1:1 Mentoring Sessions
  • 15 1:1 Career Coaching Sessions
  • Unlimited TA access for doubt clarification
Fullstack Career Track
with Classroom
6 months | ₹1,00,000/-
  • Learn from Top-Rated Faculty
  • 30 hours of interactive Online Classroom Sessions
  • 30 1:1 Mentoring Sessions
  • 15 1:1 Career Coaching Sessions
  • Unlimited TA access for doubt clarification

Curriculum - what you’ll learn

Unit 1

The Python Data Science Stack
  • Learn how to use Python and its standard libraries
  • Get introduced to the tools and libraries used in the worlds of data science and engineering.
  • Build visualizations with Matplotlib and Seaborn
  • Writing clear, elegant, readable code in Python using the PEP8 standard

Estimated Time: 16+ hours

Unit 2

Data Wrangling
  • Learn to use Pandas to wrangle and clean data
  • Learn to work with different file types from text to Excel, CSV and JSON.
  • Get an overview of relational and non-relational databases and gain SQL skills.
  • APIs: Collect data from the internet using Application Programming Interfaces (APIs)

Estimated Time: 44+ hours

Unit 3

Data Story

Project

You’ll practice the concepts you’ve learned so far by creating a story out of a dataset. Your mentor will help structure and evaluate your approach as you explore a dataset and present insightful findings to them.

Estimated Time: 10+ hours

Unit 4

Statistical Inference
  • Learn the basics of inferential statistics and parameter estimation
  • Use hypothesis testing to determine if a phenomenon is statistically significant
  • Learn how correlation and regression can be used to identify useful features
  • Know how to build A/B split tests
  • Exploratory data analysis

Estimated Time: 16+ hours

Unit 5

Machine Learning
  • Use scikit-learn to implement supervised and unsupervised algorithms
  • Advanced topics: time series analysis, social network analysis
  • Ensemble learning with random forests and gradient boosting
  • Validate and evaluate machine learning systems

Estimated Time: 50+ hours

Unit 6

Data Science at Scale
  • Work with MapReduce, one of the most popular algorithms for large-scale data manipulation
  • Understand NoSQL databases and how they differ from SQL
  • Learn Spark, the state-of the-art in distributed computing frameworks
  • Learn SparkML and MLlib to implement Machine Learning at scale on Spark

Estimated Time: 10 hours

Unit 7

Choose your Specialization

Halfway through the course, you will have the option to choose a specialization that aligns with your career goals. These are areas of focus that allow you to adapt your learning experience to your interests within Data Science.

They are: Business Insider, The Generalist Track and Advanced Machine Learning track.

Unit 8

Capstone Project

In this program, you’ll complete two Capstone Projects for your portfolio. They will be evaluated by your mentor, giving you experience with real business problems and datasets.

Your second capstone project will be related directly to the specialization track of your choice (if you have chosen one).

Estimated Time: 50+ hours

Unit 9

Career Services
  • Get your resume and Linkedin reviewed
  • Work with your own personal career coach
  • Get a personalized job search strategy
  • Learn networking principles that will land you your next job
  • Learn how to negotiate your salary

Estimated Time: 35+ hours

Meet our mentors

Our world-class mentors are hand-picked for their experience and love of teaching.

Trainer
Trainer
Trainer
Trainer

Get the perfect job with unlimited 1:1 career coaching

Career-focused course material is paired with personal coaching calls to help you land your dream job. You’ll have 6 scheduled calls, with unlimited access to more for upto 6 months after completing the program.

Career coaching calls will help you:

  • Create a successful job search strategy
  • Build your data science network
  • Find the right job titles and companies
  • Craft a data science resume and LinkedIn profile
  • Ace the job interview
  • Negotiate your salary
Read Job Guarantee Terms

Our graduates in the US have been hired by

Student 1Sr. Technical Program Manager

The mentorship from top Fullstack developer is valuable. Great hands-on practice and review process for capstone projects!

Student 2Consultant, Jr. Developer

PBS has really developed a unique concept of mentor-mentee learning Full Stack through an online mode.

Student 3Associate Developer

PBS really helped me to start using data science skills that helps me find a more relevant Full Stack Developer role.

Is this program right for me?

The Data Science Career Track is for:

students with a prior background in statistics and programming.

How much prior experience is needed?

Most students in this course will:
(1) Have completed a bachelors degree in engineering, AND
(2) know to program well enough to be comfortable picking up a new language using resources on the web

Not sure if your background is a fit?

Write to us at wecare@localhost.
our Admissions Counsellor will help you think through the decision.

Prefer a phone call?

Get on a call right away with one of our Admissions Counsellors.

Call us at: +91 9849036024

Upcoming Web Development start dates

We offer both Weekdays and weekend Fullstack programs so you can choose the option that best fits your life. Students in the Weekday program attend classes between 8 am to 5 pm IST Monday through Friday. Students in the weekend program attend class Saturday and Sunday.

Nov 30, 2020

Orientation:

11/18/20 – 11/19/20

Enrollment deadline:

11/11/20

Full-time
6 months

Monday – Friday
8 am to 5 pm IST

Nov 30, 2020

Orientation:

11/18/20 – 11/19/20

Enrollment deadline:

11/11/20

Weekend
6 months

Saturday – Sunday
8 am to 5 pm IST

The Admission Process

In three simple steps, you can start your journey towards a FullStack career.

  • submit-your-application

    Fill out our application form to get started. There is no application fee. It takes about 4-5 minutes. You can expect a reply within 2-3 business days.

  • clear-the-challenge

    If it’s a fit, we’ll send you a challenge to test your statistics and programming knowledge. Applicants spend between 15 mins to 3 hours on the challenge.

  • reserve-your-spot

    If you pass the challenge, we will send you a registration link. You will need to pay 25,000 to confirm your spot in the cohort and choose the payment plan for the balance payment. No cost EMI option available.

  • join-the-program

    You'll be one of the fewer than 20% of applicants who secured a spot in the Career Track Programe. Congratulations!

Frequently Asked Questions

What are the eligibility criteria and terms for the job guarantee?

A career transition into data science is exciting but involves focused and consistent effort. We are thrilled to have your back on this journey and ask for an equal commitment from you. In order to be eligible for this job guarantee, you must:

  • be 18 years or older.
  • hold a bachelor’s degree in Engineering from an accredited institution.
  • be proficient in spoken and written English, as determined by initial interactions with our Admissions team.
  • be eligible to legally work in India for at least 1 year following graduation from the program
  • be able to pass any background checks associated with jobs that you apply for
  • apply to positions, dedicate sufficient time and effort, and follow the job search process recommended to you by our career coaches.
  • Note that while our different specialization tracks prepare you for a career in a specialized field, we cannot guarantee that your first data science position will be in that field.

Read the full eligibility criteria and terms here.

How does the pricing work?

There are 2 payment options (both of which come with our job guarantee as long as you meet eligibility requirements):

  • EMI: You pay INR 25k upfront to confirm your spot in the cohort and rest is paid as zero interest EMI through ZestMoney. This works out to INR 14,167 per month for 12 months.
  • Upfront payment: You pay INR 25k upfront to confirm your spot in the cohort and the balance 1.7L is paid as a single payment before the course starts.

I need help with payments. Do you offer financing?

We have partnered with ZestMoney to enable you to pay using zero % interest financing. While enrolling for a course you can choose the EMI option to pay.

What is included in the course price?

We not only provide content to help you get a data science job quickly, we want you to have more impact on the role that you land.
Your tuition includes:

  • 500-600 hour curriculum of technical and career materials curated by industry experts.
  • Weekly 1-1 video calls with your personal mentor.
  • Access to an exclusive community of mentors, career coaches, and peers.
  • Dedicated community managers to answer questions and give feedback on projects within a day.
  • Personalized feedback to help you polish your resume, portfolio, and social profiles.
  • 1-on-1 sessions with a data science career coach to personalize your pitch and job-search strategy.
  • 1-on-1 mock interviews (behavioural and technical)
  • 100% money-back guarantee if you can’t find a job within six months of course completion.
  • All taxes and fees.

How many hours of work will it be?

The Data Science Career Track is a 500-600 hour course. Most students complete the course in 6 months, working 15-20 hours per week.
You should expect to take the full 6 months but can aim to complete in less time if you are: highly proficient in Python and Statistics; are ready to devote more time per week to complete the curriculum materials, and are driven and disciplined with managing your study schedule.

What does the curriculum contain and how do I know it is the best?

We work with industry experts to determine the most relevant data science topics, and find the best resources on each topic (e.g. videos, tutorials, lectures).

Note that many of the videos and resources in the curriculum are not created in-house by us. Instead, we find and curate the best resources available on the subject. Think of us as a college professor who creates a syllabus by combining the best textbook chapters, articles, papers, and projects (instead of teaching from only her own textbook).

We believe the curated curriculum is our unique strength. By standing on the shoulders of giants, we’re able to update the curriculum frequently, and always teach the latest tools and technologies.

What are specializations?

Once you complete your first capstone project, you will have the option to choose a specialization. Specializations are areas of focus that allow you to adapt your learning experience to a particular career path. You can choose one of three tracks that align with your career goals and area of interest: Business Insider, The Generalist Track and Advanced Machine Learning track.

Based on your choice, you will focus on that particular specialization and focus your second capstone project around that topic.

What kind of support can I expect?

You’ll have support from:

  • Your mentor: a data science expert who will provide weekly 1:1 guidance and accountability in a 45-minute video call at a time that works for your busy schedule.
  • Community teaching assistants: to give you dedicated help when you’re stuck, and detailed feedback on each project.
  • Career coaches: to help you with resume reviews, mock interviews, job search strategy etc.
  • Springboard student advisors: to answer questions, discuss goals and provide tips and support on any aspect of the program.
  • And finally, your classmates: with whom you can form study groups, get feedback, and work on projects together!

How do I earn a certificate of completion?

We will provide certificates of completion to all the participants who successfully complete the course and all the projects. We also have integration with LinkedIn, so you can display a verified certificate on your LinkedIn profile.

Is this course conducted online or in person?

All our courses take place entirely online. All you need is an Internet connection.

Are there any prerequisites for this course?

You should have a strong background in probability & statistics and should be comfortable enough in programming to pick up a new language using resources on the web.

What does lifetime access to my PBS account mean?

Once you complete the course, you’ll have lifetime access to your Product Leadership Academy account, including the online community and office hours. We’ll even provide you with an additional six months of access to external resources upon request. Whenever our course development team updates the curriculum, you’ll see it too. Lifelong learning guaranteed.

How does the admission process work?

Spots are limited and we accept candidates on a rolling basis. We have a multi-step application process. The first step involves a 4-5 minute questionnaire to learn about your prior education and work experience. Based on your responses, we might ask for additional information — e.g. a brief phone interview, or a quick coding and statistics challenge – just to make sure the Data Science Career Track is a good fit for you.