Amara Surendra Polagani

Recipients of the Uplimit's R for Data Science certificate have worked through the data-science lifecycle, starting with importing data into R, tidying it, transforming it to an analysis-ready format, and visualizing it. Learners have used ggplot2 to visualize data, and package it into an interactive flexdashboard and used the tidyverse to wrangle data, and package it into an interactive shiny app.

Certification criteria:

Actively participated in Uplimit's dynamic course on R for Data Science: attended lectures, discussion sessions, engaged in dynamic peer review sessions, and more.

December 19, 2023 Instructor: Ramnath Vaidyanathan

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Built data visualizations using R, including deconstructing a plot into its constituents, introduction to the, grammar of graphics, and best practices for visualizing data. Learners also have proven a proficiency in Tidying Data, deconstructing a dataset into its constituents, the grammar of data wrangling, and best practices for wrangling data.

Recipients of Uplimit DevOps Crash Course certificates have learned the foundations of DevOps and have mastered the DevOps basics including containerization using Docker, container orchestration with Kubernetes, continuous integration and continuous deployment (CI/CD), and infrastructure as code using Terraform. They are ready to tackle basic questions in DevOps and are prepared to thrive in more advanced environments.

Certification criteria:

Actively participated in Uplimit’s dynamic DevOps Crash Course: attended lectures, project sessions, community talks with industry leaders, and more.

Built a reproducible programming environment with Docker and established a Git driven CI/CD workflow.

Developed familiarity with the foundations of DevOps including containers, system orchestration Kubernetes foundations, CI/CD, GitOps,Terraform and automation.

December 1, 2023 Instructor: Sourabh Bajaj and Yudhiesh Ravindranath

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Recipients of the Uplimit Intro to Numpy and Pandas certificate have learned the fundamentals of scientific Python through a fast-paced, interactive experience. They have learned how to use core Python DS libraries (Pandas and Numpy) on real Airbnb data, and practiced their skills with hands-on projects.

Certification criteria:

Actively participated in Uplimit's dynamic course on Intro to Numpy and Pandas: attended lectures, lab sessions, Fireside Chats with industry leaders, and more.

Built Python for Data Science projects using Numpy to perform calculation on Airbnb listing data and Pandas to clean and pre-process your data for modeling.

October 2, 2023 Instructor: Luca Belli

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Developed best practices for ensuring the quality of cleaning and operating data and analysis.