Data Science 2 Accelerated Course

Data Science 2 builds upon the analytical foundations, introducing participants to powerful programming languages – Python or R – for advanced data manipulation, analysis, and statistical modeling, alongside continued development in SQL for robust data handling. This course is for those ready to delve into more programmatic approaches to data science, essential for automation, machine learning, and complex data tasks.

Learning Outcomes

Python / R Programming for Data Science: Write code to import, clean, transform, and analyze data. (Choice of Python or R)
Advanced SQL: Master complex SQL queries, including joins, subqueries, and views for sophisticated data retrieval.
Statistical Modeling with Code: Implement statistical models and conduct hypothesis testing using Python/R libraries.
Data Visualization with Code: Create advanced data visualizations using programming libraries (e.g., Matplotlib, Seaborn in Python; ggplot2 in R).
Introduction to Machine Learning Concepts: Understand basic machine learning algorithms and their applications.

Duration and study mode

2 -3 months
Online learning and Classroom options available

Who Can Enroll for the Course

Graduates of Data Science 1 or individuals with a basic understanding of data analysis concepts.
Aspiring data scientists, data analysts, and business intelligence professionals.
Researchers and academics looking to enhance their data processing and modeling capabilities.
Anyone seeking to gain proficiency in programming for data-driven tasks.