Description
Become a Data Analyst – (ETL, SQL, Power BI, Python, R) is a data analyst training course for business decision making published by Udemy Online Academy. The digital world is growing worldwide and with it, the need for experienced data analysts has also increased. Learning to become a data analyst will not only prepare you for various jobs but will also give you a great influence on decisions as many companies make their decisions based on data. This comprehensive training course starts by teaching the basic concepts and principles of data analysis and then moves on to complex topics and the use of various tools.
This training has real-world examples and various exercises so that you can implement what you have learned in this training in different scenarios. You will first gain comprehensive knowledge of data analysis and then learn the ETL (Extract, Transform, Load) process. Then you will learn the language of SQL data centers and how to manipulate data. First you will start with small topics and then you will deal with more complex topics. In this training you will learn Python, a programming language that is widely used in data analysis. You will learn to work with various libraries such as Pandas, Matplotlib and Seaborn.
In this training, you will also learn how to use the R language so that you can easily perform complex data analyses. Finally, you will be familiarized with BI, Microsoft’s leading business analysis tool, which will help you analyse data.
What you will learn in Become a Data Analyst – (ETL, SQL, Power BI, Python, R):
- Basic concepts and principles of data analysis
- ETL process (Extract, Transform, Load)
- Familiarity with the SQL language
- Python programming language
- And…
Course specifications
Editor: Udemy
Lecturers: Bluelime Learning Solutions
Language: English
Level: Introduction
Number of lessons: 150
Duration: 13 hours and 1 minute
Course topics
Become a Data Analyst – (ETL, SQL, Power BI, Python, R) Requirements
Basic computer skills: Students should be familiar with basic computer operations such as downloading and installing software, browsing the Internet, and managing files and directories.
Basic understanding of mathematics: Although the course does not cover advanced mathematics, a basic understanding of basic mathematical concepts (like mean, median, mode, percentage, etc.) would be beneficial in understanding data analysis concepts.
Logical Thinking: Data analysis requires a significant amount of problem-solving and logical thinking, so having an inclination towards logical thinking and problem-solving would be an advantage.
Basic programming knowledge (not mandatory): Prior knowledge of any programming language would be helpful but is not required. We will cover the necessary programming concepts while learning Python and R.
Enthusiasm for learning: Data analysis is a broad field with a variety of tools and techniques. A desire and openness to learn new things would definitely be an advantage.
Access to a computer: Because the course includes hands-on labs and exercises, access to a computer is required where you can install and use tools such as SQL, Python, R, and Power BI. Please note that some of these programs may have system requirements, so make sure your computer meets them.
Remember, this course is designed to take you from beginner to expert, so don’t worry if you’re not familiar with some of the concepts or tools we cover. We’ll go through everything you need to know step by step to make sure you’re comfortable and understand each topic.
Pictures
Become a Data Analyst – Introduction Video (ETL, SQL, Power BI, Python, R).
installation Guide
After extracting, watch the video with your favorite player.
Subtitles: None
Quality: 720p
Download link
File password(s): free download software
Size
3.3GB