This course equips you with the fundamental skills you will need as a Data Scientist / Engineer. This is a beginner-level course, intended to give you foundational skills & practice.
You will learn how to get, clean, and process data from different sources. You will also 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 micro certification, 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 ML & AI jobs.
Introductory Price: $1,000
List Price: $2,250
After successfully completing the program, you will be:
Anyone who seeks to learn machine learning 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.
If you wish to attend our programs but need assistance with the prerequisites, we recommend you attend two free LIVE courses. These help you prepare for ML/DS: Basics program, to begin your learning journey. Learn More
Bi-weekly live, cohort-based lessons with labs and quizzes
Ten or more hours/week to interact with an experienced & accomplished mentor
Complex problems that challenge you to apply what you learn
10–12 week long Capstone Project with one of our partner companies or faculty
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.
Http and scraping.
Exploratory Data Analysis
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
Hierarchical Bayesian models
Gradient Boosting Models
It is a 3-part series where each program leads to an individual certification.
You can take these programs consecutively or at your own pace.
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
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.
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.
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.
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.
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.