Expert Certification in Data Science
The Data Science: Y program will build on your basic skills in Data Science, and elevate them a notch. This is the second certification of our three part Master Series in Data Science.
You will add decision theory, experimentation, and advanced modeling to your repertoire. On the engineering side, you will add product development and deployment skills, at scale. In-short, you will become a guru at production ML systems.
You will be ready to create production machine learning systems after you finish the program. You will also be able to help senior management take complex machine learning based decisions. You will thus be ready to pursue mid to senior level opportunities in the field.
To start this program complete Data Science X or take a test.
After successfully finishing this program, you will be:
1. Able to run production machine learning pipelines at large scale and in the cloud
2. Able to create production machine learning apps
3. Awarded the Expert Certification in Data Science on successful completion of the course
4. Eligible to attend Data Science and Engineering: Z, the final certification level of the 3-part Master Data Science series
5. Prepared to pursue advanced (graduate, doctorate) level studies in Data Science
6. Qualified to seek upper-intermediate and senior level Data Science positions in the industry
Anyone who seeks to learn advanced 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.
1. Knowledge of beginning and intermediate data science as exemplified by the topics in DSE: X
2. You can, at your option, either take DSE: X, or test into DSE: Y
Bi-weekly 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 learned
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.
Decision Theory and Model interrogation
Bayesian Generalized hierarchical linear models
Time series Forecasting
Managing and querying experiments, with data and algorithms version control
Server API creation for machine learning
HTML, CSS and JS for API consumption
Graphs and their applications in data science: computational graphs and social structures
Large scale computation and data: dask, scikit-learn and other libraries
Large data analysis using spark RDDs and large scale data access
Cloud based deployment on systems such as GCP, AWS.
Managing experiments, machine learning pipelines and clusters using docker and kubernetes
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.
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.
This is an advanced program and is the second part of our Master Series. If you have taken Data Science: X or have equivalent knowledge in Data Science, you are eligible for the program. The detailed prerequisites for this program can be found above.
You can begin your Data Science journey with our Data Science: X program, which is part one of the three part Master: Data Science, if you do not meet the prerequisites.
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.
The program will get you ready for mid-senior to senior level positions in the field of Data Science. This program will also set you up for the Data Science: Z, which will prepare you for the most sought after expert level opportunities in the field.