Specialization "Data Analyst" - course 2900 rub. from Stepik, training 36 lessons, Date: October 29, 2023.

Data analyst, product analyst, customer base analyst, CRM analyst, data scientist - all these professions are related to data analysis.

🎯 TOP requirements for these professions:

• Knowledge of SQL and experience working with databases;
• Knowledge of basic Python syntax and knowledge of the Pandas library;
• Knowledge of statistics and ability to apply it in data analysis;
• Analytical thinking.

This is not a complete list. For example, web analysts need to know Google Analytics and Yandex. Metrics, and for data scientists - machine learning. But I gave the basic requirements that are found in 70-80% of vacancies.

The Data Analyst specialization currently consists of two courses:
1️⃣ SQL for everyone

During the course, you will master SQL to the level of writing complex SQL queries and practice using data from a trading company in one of the most popular database management systems.

The course is designed for beginners who want to master SQL, as well as those who know SQL at a basic level, but want to fill in the gaps and consolidate their knowledge in practice.

2️⃣ Python: Data Analysis with Pandas

The course is devoted to practical work with Pandas. You will receive the necessary theory and reinforce it with a large number of practical problems.

The course is suitable for those who are already familiar with the basic Python syntax:

• Knows basic data types (including lists and dictionaries) and operations on them;
• Has an understanding of what a function and a method are.

The course can be taken even by beginners who can independently figure out how to install Python and the Pandas library. But, if you are just starting out with Python, you will have to catch up on some basic things on your own as the course progresses. By the way, you can get basic knowledge of Python syntax in this course. Then learning Pandas will be much easier.

The concept of the courses is based on three principles:
Simplicity
The presentation of the material is accessible and consistent - this will allow you to form the necessary knowledge base step by step.

Practice
Much attention is paid to practice - so that you not only solve the course problems, but also be able to apply knowledge in the future, on real projects.

Support
Feel free to ask questions in the comments, it is important for me that all the material is learned. I respond to comments within a day.

The order in which the courses are taken is not important.