The Data Analyst Course: Complete Data Analyst Bootcamp
Complete Data Analyst Training: Python, NumPy, Pandas, Data Collection, Preprocessing, Data Types, Data Visualization
4.52 (21856 reviews)
155 328
students
21.5 hours
content
Apr 2025
last update
$149.99
regular price
What you will learn
The course provides the complete preparation you need to become a data analyst
Fill up your resume with in-demand data skills: Python programming, NumPy, pandas, data preparation - data collection, data cleaning, data preprocessing, data visualization; data analysis, data analytics
Acquire a big picture understanding of the data analyst role
Learn beginner and advanced Python
Study mathematics for Python
We will teach you NumPy and pandas, basics and advanced
Be able to work with text files
Understand different data types and their memory usage
Learn how to obtain interesting, real-time information from an API with a simple script
Clean data with pandas Series and DataFrames
Complete a data cleaning exercise on absenteeism rate
Expand your knowledge of NumPy – statistics and preprocessing
Go through a complete loan data case study and apply your NumPy skills
Master data visualization
Learn how to create pie, bar, line, area, histogram, scatter, regression, and combo charts
Engage with coding exercises that will prepare you for the job
Practice with real-world data
Solve a final capstone project
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Comidoc Review
Our Verdict
The Data Analyst Course: Complete Data Analyst Bootcamp on Udemy is a valuable resource for aspiring data analysts seeking to enhance their skills with Python, NumPy, pandas, and real-world data scenarios. Although there are some minor issues related to clarity in code exercises and model answers, the course provides an engaging experience overall with rich content that helps learners practice and master essential techniques for data analysis. While not perfect, this course is a worthwhile pursuit due to its comprehensive approach and practical application of key concepts.
What We Liked
- Comprehensive coverage of key data analysis topics with Python, NumPy, and pandas
- Incorporates coding exercises to practice essential skills
- Real-world data and capstone project provide practical experience
- Professional presentation and clear visuals
Potential Drawbacks
- Inconsistency between section names in course outline and actual content
- Limited guidance for code exercises and no answers to challenges
- Some code exercises can produce incorrect results due to ambiguous requirements
- Occasional mismatches between student submissions and the exercise checker's model answers
Related Topics
3570337
udemy ID
15/10/2020
course created date
27/10/2020
course indexed date
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