Data Analyst Skillpath: Zero to Hero in Excel, SQL & Python
Begin data analytics by learning Excel, SQL, Python, Analytics & ML concepts from scratch. Must-know for a data analyst.
4.48 (6864 reviews)
78 975
students
23 hours
content
May 2025
last update
$99.99
regular price
What you will learn
A Beginner's Guide to Microsoft Excel - Microsoft Excel, Learn Excel, Spreadsheets, Formulas, Shortcuts, Macros
Become proficient in Excel data tools like Sorting, Filtering, Data validations and Data importing
Master Excel's most popular lookup functions such as Vlookup, Hlookup, Index and Match
Make great presentations using Bar charts, Scatter Plots, Histograms etc.
Knowledge of all the essential SQL commands
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 problem using the Linear Regression technique
Indepth knowledge of data collection and data preprocessing for Machine Learning Linear Regression problem
Understand how to interpret the result of Linear Regression model and translate them into actionable insight
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Our Verdict
This Zero to Hero in Excel, SQL & Python course provides an extensive introduction to essential data analytics tools. While the resource files could benefit from better alignment with video content, and the pace might initially challenge some learners, the engaging teaching style, practical exercises, and real-life applications solidify this Udemy bestseller as a strongly recommended starting point for aspiring data analysts eager to build a foundation in Excel, SQL, and Python.
What We Liked
- The course starts with the basics of Excel, SQL, and Python, providing a comprehensive guide for beginners.
- The use of practical examples and exercises helps to reinforce concepts and improve skills.
- Content is presented in an engaging and organized manner, making it easy to follow along.
- Strong focus on data cleaning and real-world applications of techniques and tools.
Potential Drawbacks
- Some exercises may have discrepancies between the problem description and expected results.
- Instructor's accent can be challenging for some learners to understand without subtitles.
- Resource files provided in the course sometimes do not match what is presented in the videos.
- Lectures are delivered at a fast pace which may be overwhelming for beginners.
4316674
udemy ID
24/09/2021
course created date
25/10/2021
course indexed date
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