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Your Schedule

begin your journey through our data science course!

Module 0

Setting Up

This module covers setting up your environment and tools for the course
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Module 1

What is Data Science?

This module covers the fundamentals of data science and its applications in today's world

Module 2

Python & NumPy

This module covers foundational Python and NumPy concepts for data science.

Module 3

Pandas

This module covers the basics of the Pandas library, a fundamental tool in any data scientist's toolbox.

Module 4

Data Visualizations

This module covers how to use the Seaborn and Matplotlib libraries to create beautiful and effective data visualizations.

Module 5

The Data Science Life Cycle

This module covers the stages of the data science life cycle, a comprehensive methodology for tackling problems with data science.

Module 6

Intro to Machine Learning

This module covers how to build machine learning models and utilize them to solve problems.

Module 7

Statistics in Data Science

This module covers probability and hypothesis testing, and how data scientists use these tools in practice.

Module 8

SQL

This module covers the SQL programming language and how to create tables and query databases for powerful data manipulation.