Introduction to Python

6 horas

63 capítulos

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!

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Introduction to SQL

4 horas

41 capítulos

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.

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Intermediate SQL

3 horas

25 capítulos

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.

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Pandas First Steps

4 horas

34 capítulos

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.

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NumPy in a Nutshell

3 horas

21 capítulos

NumPy is one of the basic packages for scientific computing in Python. The 'NumPy in a Nutshell' course will introduce you to such a powerful tool as NumPy, which is convenient for working with arrays of different sizes. After completing this course, you will be able to easily work with matrices, using various functions. In addition, during the course, you will learn basic methods for working with arrays that simplify code writing.

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Advanced Techniques in pandas

4 horas

33 capítulos

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.

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Business Analysis Fundamentals

2 horas

18 capítulos

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.

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SQL in Python Projects

3 horas

22 capítulos

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.

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Ultimate Visualization with Python

3 horas

26 capítulos

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 visulization 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!

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Linear Regression with Python

2 horas

19 capítulos

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.

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