Introduction to Python

12 hours

126 chapters

Beginner

Python is an interpreted high-level general-purpose programming language. Unlike HTML, CSS, and JavaScript, which are primarily used for web development, Python is versatile and can be used in various fields, including software development, data science, and back-end development. In this course, you'll explore the core aspects of Python, and by the end, you'll be crafting your own functions!

View details

Introduction to SQL

4 hours

41 chapters

Beginner

This course is for you if you are new to SQL, you want to quickly learn how to get the most out of SQL and you want to learn how to use SQL in your own application development.

View details

Intermediate SQL

3 hours

25 chapters

Intermediate

This course is perfect for those who already have a basic understanding of SQL and want to delve into more advanced concepts to craft more powerful queries. Throughout the course, you will become familiar with data grouping and filtering grouped data. You will also learn how to work with multiple tables simultaneously, including how to combine them. Additionally, you will explore different types of table joins and how to apply them in practice.

View details

Pandas First Steps

4 hours

34 chapters

Intermediate

Pandas is an extremely user-friendly library for data analysis. It's also designed to handle large datasets, using data structures like DataFrame and Series. This makes it an invaluable tool for Data Science. In this guide, you'll get acquainted with a range of statistical functions, including how to find correlations, modes, medians, and maximum and minimum values within a dataset. You'll also learn how to handle missing values and manipulate specific values, as well as how to remove them.

View details

Advanced Techniques in pandas

8 hours

66 chapters

Intermediate

This course contains a lot of useful functions for a future data analyst. You will learn different ways of extracting data and even set conditions on it. After it, you will be familiar with the methods of grouping data. Also, you will learn how to preprocess data. Each section has its data set so that the course will be gripping.

View details

Business Analysis Fundamentals

2 hours

18 chapters

Beginner

Navigating the intricacies of Business Analysis is a transformative journey that unveils the dynamic intersection of strategy, technology, and organizational objectives. Delve into the heart of this discipline, where professionals craft solutions, facilitate change and bridge the gap between business needs and IT capabilities.

View details

SQL in Python Projects

3 hours

22 chapters

Intermediate

SQL, or Structured Query Language, is essential for data management, particularly in databases where information is stored, organized, and analyzed within tables. Meanwhile, modern Integrated Development Environments (IDEs) are indispensable for software development, providing coding and debugging tools, task automation, and streamlined interfaces to boost productivity and reliability. These tools work in tandem to expedite high-quality software development.

View details

Ultimate Visualization with Python

3 hours

26 chapters

Intermediate

Data is everywhere around us and making sense of it is extremely important. Visulization helps us deal with data by finding certain patterns and insights in it. We will develop a solid foundation of data visualization using Python and its libraries, such as matplotlib and seaborn, to get as much information from data as possible in a neat and concise way. Without further ado, let's dive in!

View details

Linear Regression with Python

2 hours

19 chapters

Intermediate

Linear Regression is a crucial concept in predictive analytics. It is widely used by data scientists, data analytics, and statisticians as it is easy to build and interpret but powerful enough for many tasks.

View details