Bertrand Choubert

Introduction to Python

Master the basics of data analysis in Python. Expand your skillset by learning scientific computi...

Introduction to R

Master the basics of data analysis by manipulating common data structures such as vectors, matric...

Introduction to Data Science in Python

Dive into data science using Python and learn how to effectively analyze and visualize your data.

Intermediate Python

Level up your data science skills by creating visualizations using Matplotlib and manipulating Da...

Data Manipulation with pandas

Use the world’s most popular Python data science package to manipulate data and calculate summary...

Python Data Science Toolbox (Part 1)

Learn the art of writing your own functions in Python, as well as key concepts like scoping and e...

Python Data Science Toolbox (Part 2)

Continue to build your modern Data Science skills by learning about iterators and list comprehens...

Introduction to SQL Server

Become proficient at using SQL Server to perform common data manipulation tasks.

Writing Efficient Python Code

Learn to write efficient code that executes quickly and allocates resources skillfully to avoid u...

Introduction to Relational Databases in SQL

Learn how to create one of the most efficient ways of storing data - relational databases!

Object-Oriented Programming in Python

Dive in and learn how to create classes and leverage inheritance and polymorphism to reuse and op...

Writing Functions in Python

Learn to use best practices to write maintainable, reusable, complex functions with good document...

Introduction to Shell

The Unix command line helps users combine existing programs in new ways, automate repetitive task...

Introduction to Git

This course is an introduction to version control with Git for data scientists.

Data Types for Data Science in Python

Consolidate and extend your knowledge of Python data types such as lists, dictionaries, and tuple...

Web Scraping in Python

Learn to retrieve and parse information from the internet using the Python library scrapy.

Working with Dates and Times in Python

Learn how to work with dates and times in Python.

Database Design

Learn to design databases in SQL.

Software Engineering for Data Scientists in Python

Learn about modularity, documentation, and automated testing to help you solve data science probl...

Intermediate SQL Server

In this course, you will use T-SQL, the flavor of SQL used in Microsoft's SQL Server for data ana...

Regular Expressions in Python

Learn about string manipulation and become a master at using regular expressions.

Unit Testing for Data Science in Python

Learn how to write unit tests for your Data Science projects in Python using pytest.

Time Series Analysis in SQL Server

Explore ways to work with date and time data in SQL Server for time series analysis

Improving Query Performance in SQL Server

In this course, students will learn to write queries that are both efficient and easy to read and...

Functions for Manipulating Data in SQL Server

Learn the most important functions for manipulating, processing, and transforming data in SQL Ser...

Conda Essentials

Learn how to easily manage your software using conda.

Hierarchical and Recursive Queries in SQL Server

Learn how to write recursive queries and query hierarchical data structures.

Transactions and Error Handling in SQL Server

Learn to write scripts that will catch and handle errors and control for multiple operations happ...

Writing Functions and Stored Procedures in SQL ...

Master SQL Server programming by learning to create, update, and execute functions and stored pro...

Building and Optimizing Triggers in SQL Server

Learn how to design and implement triggers in SQL Server using real-world examples.

Parallel Programming with Dask in Python

Learn how to take the Python workflows you currently have and easily scale them up to large datas...

Building and Distributing Packages with Conda

Learn how to write Conda recipes and share them on Anaconda Cloud.

Intro to Statistics with R: Introduction

A friendly introduction to fundamental concepts in statistics in R.