Data Professionals LaunchPad Skill Path
This skill path is meant for new talent upskilling while they are still in college. This will accelerate the time needed for project readiness once they are onboarded
Key Highlights
✅ Acquiring industry-relevant skills while still in college.
✅ Reducing deployment time by 35%
Skill Path
Business Landscape in the world of Data
This module is designed to equip aspiring data professionals with the essential skills and knowledge needed in the industry, with a specific focus on the e-commerce sector. By leveraging real-world use cases, participants will gain practical insights into the application of data science, data engineering, and data analysis to drive business success.
Data Foundations
This module is specifically tailored for data professionals. This module gives details on various data stores, their data modeling, quality of data, and data governance
Data Foundations Practice Set
This module emphasizes solving real-world problems by putting the skills from the previous modules in use
Excel primer
This module is designed to provide the participants with the essential skills required to perform data analysis, data visualization, and statistical interpretation using Microsoft Excel.
Excel Primer - Practice Set
This module emphasizes solving real-world problems by putting the skills from the previous modules in use
SQL Primer
This module is a deep dive into the techniques of data wrangling and relational data modeling using SQL. Participants will gain practical skills in manipulating, cleaning, and preparing data, as well as designing and implementing relational database models.
SQL Primer-Practice Set
This module emphasizes solving real-world problems by putting the skills from the previous modules in use
Programming foundations
This introductory module is designed to provide students with a strong foundation in programming using Python. It covers the essential programming constructs, data types, and data structures that are fundamental to coding.
Programming foundations - Practice Set
This module emphasizes solving real-world problems by putting the skills from the previous modules in use
Python for Data Analytics
This module provides a comprehensive guide to mastering data wrangling, cleansing, preparation, and visualization using Python. Designed for aspiring data scientists, engineers and analysts, this module covers essential techniques to harmonize and visualize data efficiently.
Python for Data Analytics - Practice Set
This module emphasizes solving real-world problems by putting the skills from the previous modules in use
Introduction to Distributed Computing
This module is designed to introduce participants to the ideas of distributed computing and provide a deep dive into Apache Spark, a powerful open-source framework for big data processing.
Cloud Primer
This Module is designed to provide a foundational understanding of cloud computing and its impact on the data landscape. Participants will gain insights into the core concepts of cloud services, the various types of cloud models, and how data is managed and leveraged in a cloud environment.
Data Science Foundations
This module offers a comprehensive introduction to the field of data science and machine learning. It covers the data science landscape, providing insights into the key concepts, tools, and techniques used in data science.