Description
Become a Data Analyst – (ETL, SQL, Power BI, Python, R) is a data analyst training course for business decisions published by Yodemy Online Academy. The digital world is growing all over the world and hence the demand for experienced data analysts has increased. Learning to be a data analyst will not only prepare you for different jobs, but you will have a big impact on decisions because many companies make their decisions based on data. This comprehensive training course starts with teaching the basic concepts and principles of data analysis and then moves on to complex topics and how to use different tools.
This training course has real examples and different exercises so that you can implement what you have learned in this training course in different scenarios. You will first gain extensive knowledge of data analysis, then learn the ETL (Extract, Transform, Load) process. Then you will learn the language of SQL data centers and learn how to manipulate data. At first, you start with small topics and then you face more complex topics. In this training course, you will learn about Python, a programming language that is widely used in data analysis. You will learn to work with different libraries such as Pandas, Matplotlib and Seaborn.
This training course will also teach you how to work with the R language so that you can easily perform complex data analysis. Finally, you will be introduced to Microsoft’s flagship business analysis tool, BI, which will help you analyze data.
What he learned in the Become a Data Analyst training course – (ETL, SQL, Power BI, Python, R):
- Basic concepts and principles of data analysis
- ETL process (extract, transform, load)
- Familiarity with SQL language
- Python programming language
- And …
Course details
Publisher: Yudmi
teacher: Bluelime Learning Solutions
English language
Education level: Introductory
Number of courses: 150
Training duration: 13 hours and 1 minute
Course headings
Prerequisites of Become a Data Analyst course – (ETL, SQL, Power BI, Python, R)
Basic Computer Skills: Students should be comfortable with basic computer operations, such as downloading and installing software, browsing the internet, and managing files and directories.
Fundamental Understanding of Mathematics: While the course does not delve into advanced mathematics, having a foundational understanding of basic mathematical concepts (like mean, median, mode, percentage, etc.) would be beneficial for comprehending data analysis concepts.
Logical Thinking: Data analysis involves a significant amount of problem-solving and logical reasoning. So, having an inclination towards logical thinking and problem-solving would be beneficial.
Basic Programming Knowledge (Not Mandatory): Prior experience with any programming language would be helpful but is not required. We will cover the necessary programming concepts as we delve into Python and R.
An Enthusiasm to Learn: Data analysis is a vast field with a variety of tools and techniques. Being keen and open to learning new things would definitely be a plus.
Access to a Computer: As the course involves hands-on exercises and practice, having access to a computer where you can install and use tools like SQL, Python, R, and Power BI is required. Please note, some of these software may have system requirements, so ensure your computer meets those.
Remember, this course is designed to take you from beginner to proficient, so don’t worry if you’re not familiar with some of the concepts or tools we’ll be covering. We’ll walk through everything you need to know, step by step, to ensure you’re comfortable and understand each topic.
Course images
Introduction video of Become a Data Analyst course – (ETL, SQL, Power BI, Python, R)
Installation guide
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Subtitle: None
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
3.3 GB
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