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Data Science: X

Professional Certification in Data Science

This program equips you with the fundamental skills you will need as a Data Scientist / Engineer. This is the first certification of our three part Master Series in Data Science.

You will learn how to get, clean, and process data from different sources. You will then gain skills in exploratory data analysis, visualization, and communication. You will learn about text and tree models, ensembles, recommendation systems, clustering, and Bayesian Statistics.

After you finish this program, you will be ready to run complex analyses on all kinds of data on your own. This will get you ready for entry level to intermediate data science jobs.


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Get Started
Applications opening soon

Starts

January 25, 2021
To be decided
Self-paced

Duration

12 Weeks

Format

Live Online
Online

Time Investment

10 to 15 hours per week
Online

Fee

INR 30,000

(Interest free EMI available)

Registration closes

January 5, 2021
To be decided

Master Series

Course Outcome

After successfully completing the program, you will be:

1.  Ready to run complex data science analyses on all kinds of data on your own.
2.  Awarded the Professional Certification in Data Science on successful completion of the course.
3.  Eligible to attend Data Science and Engineering: Y, the second part of the 3-part Master Series
4.  Prepared to pursue advanced (graduate and above) level studies in Data Science
5.  Qualified to seek entry level and intermediate Data Science positions in the industry

Who should apply

Prerequisites

Anyone who seeks to learn data science and who has the necessary prerequisites. The course is however tailored to students as well as working professionals, who have some background in maths as well as programming.

See if you are ready

1.  Working knowledge of python as represented by the subjects in Python-Preparator
2.  Working knowledge of machine learning as represented by the subjects in ML-preparator
3.  You can, at your option, either take those free courses and pass them, or test into DSE: X

Program Structure

Live online classes
1. Live Online Classes

Bi-weekly lessons with labs and quizzes

Mentorship
2. Mentor-Supported

Ten or more hours/week to interact with an experienced & accomplished mentor

Module end Project
3. End-of-Module Project

Complex problems that challenge you to apply what you learned

Capstone
4. Capstone

10–12 week long Capstone Project with one of our partner companies or faculty

Program Faculty

Dr. Rahul Dave

Chief Scientist, Univ.AI

Rahul is a co-founder of Univ.AI. Before starting Univ.AI, Rahul was a lecturer at Harvard University. He was on the original team for Harvard’s famous Data Science course, cs109, and has taught machine learning, statistics, and AI courses, both at Harvard and at multiple conferences and workshops.

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Topics Covered

Module 1

Http and scraping.
Exploratory Data Analysis
Visualisation basics
SQL (and sqlite, with pandas)
Viz for communication. Dashboards.
Data Analysis pipelines
Using (not theory of) word embeddings and similarity search
Collaborative Filtering and recommendations

Project Week

Module 2

Clustering: k-means
Naive Bayes
Bayesian Models
Hierarchical Bayesian models
Trees
Ensemble Models
Random Forests
Gradient Boosting Models

Project Week

Our Alumni

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Financial Assistance

Interest free EMI

Our programs are priced for access, and are affordable for most around the world who seek the best training in sought after areas like AI and Data Science. For those who might still need financing, we have EMI payments available.

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Frequently Asked Questions

What is the Master Certification Series in Data Science?

It is a 3-part series where each program leads to an individual certification. 

  • Level: X is for beginners in Data Science
  • Level: Y is for advanced learners in DS
  • Level Z: Is for expert level practitioners

You can take these programs consecutively or at your own pace.

What are the prerequisites for the program?

Knowledge of a minimum of high school level mathematics and basic python programming is important for this program. For detailed perquisites, please refer to the main programs page for Data Science: X

What are the resources I can avail if I don’t fulfil the prerequisites?

We offer LIVE online course prep programs on Python and Machine Learning foundations, free of cost, before the start of DS-X cohorts. These are held on a weekend led by Harvard faculty to quickly get you ready for the DS: X program.

Do you advise taking only a part or the entire 3-part Master Series: Data Science consecutively?

Students who finish Level Z with an ‘A’ grade are guaranteed placement opportunities. We recommend you take at least two programs one after the other, and then take a break, before you take the third and final part of the series. That will enable the system to help you better.

I already know the basics of Data Science. Can I still take this program?

If your basics are strong, you can directly take the Data Science: Y program which is the second of the three part  Master: Data Science.

What kind of career opportunities may I expect after completing this program?

The goal of this program is to get you ready for entry level positions in Data Science. If you wish to do so rapidly, we train you comprehensively in data sourcing, analysis and modelling. This will help you in advanced education in the field and you will also be eligible to take the Data Science: Y program.

How often is the Data Science: X program held?

New cohorts of the Data Science: X program will be held every 10 to 12 weeks. You can take this program at a time that best suits you.

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