Аналитика. Data science

Data Science Foundations

Data Science with Python

Data Visualization Fundamentals

Dictionaries, Frequency Tables, and Functions in Python

Kaggle Fundamentals

Conditional Probability

Intermediate Statistics: Averages and Variability

Elements of the Command Line

Pandas and NumPy Fundamentals

Python for Data Science Project

Data Analysis in Business

In this course, we’re going to dive into the «fuzzy» side of doing data science, and learn about how data professionals can function effectively in a modern business environment.

Python Functions and Learn Jupyter Notebook

This course will teach you how to build functions that employ multiple return statements, return multiple variables and how to use Jupyter Notebook and build portfolio projects.

For Loops and Conditional Statements in Python

This course focuses on the following: building a foundation in Python, discovering the principles of conditional statements and creating a portfolio project in Jupyter Notebook.

Variables, Data Types, and Lists in Python

You will learn basic Python operations like working with variables, processing numerical data and text data, and creating and manipulating lists in this course.