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Giveaway [Udemy] Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python
Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python | Udemy

You're looking for a complete course on how to become a data analyst, right?
You've found the right Data Analyst Masterclass with Excel, SQL & Python course! This course will teach you data-driven decision-making, data visualization, data analytics in SQL, and the use of predictive analytics like linear regression in business settings.
After completing this course you will be able to:
Master Excel's most popular lookup functions such as Vlookup, Hlookup, Index, and Match
Become proficient in Excel data tools like Sorting, Filtering, Data validations, and Data importing
Make great presentations using Bar charts, Scatter Plots, Histograms, etc.
Become proficient in SQL tools like GROUP BY, JOINS, and Subqueries
Become competent in using sorting and filtering commands in SQL
Learn how to solve real-life business problems using the Linear Regression technique
Understand how to interpret the result of the Linear Regression model and translate them into actionable insight
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this course on Data Analyst Skillpath in Excel, SQL, and Python.
If you are a student, business manager, or business analyst, or an executive who wants to learn Data Analytics concepts and apply data analytics techniques to real-world problems of the business function, this course will give you a solid base for Data Analytics by teaching you the most popular data analysis models and tools
This course includes:
19 hours on-demand video
7 articles
1 downloadable resource
Full lifetime access
Access on mobile and TV
Certificate of completion
Enrolled, thanks baziroll.

About this course
Begin data analytics by learning Excel, SQL, Python, Analytics & ML concepts from scratch. Must-know for a data analyst

By the numbers
Skill level: All Levels
Students: 5394
Languages: English
Captions: Yes
Lectures: 183
Video: 19 total hours

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