Master Python Data Analysis: 10 Key Functions for Beginners
Focused View
36:32
1 - Introduction.mp4
01:13
2 - About the Course.mp4
01:12
2 - top100cities-weather-data.csv
2 - worldcities.csv
3 - Course Requirement.mp4
00:47
3 - Links-and-Tutorials-Python-Setup.pdf
1 - Quiz about 10 Key Functions to Analyze Data in Python.html
4 - Pandas for Data Analysis.mp4
01:29
5 - Function 1 read csv.mp4
03:12
6 - Function 2 head.mp4
01:29
7 - Function 3 info.mp4
01:45
8 - Function 4 describe.mp4
01:35
9 - Function 5 dropna.mp4
07:29
10 - Function 6 fillna.mp4
02:45
11 - Function 7 group by.mp4
03:04
12 - Function 8 sort values.mp4
02:49
13 - Function 9 query.mp4
02:09
14 - Function 10 merge.mp4
04:43
15 - Outro and Thank You.mp4
00:51
More details
Course Overview
This beginner-friendly course teaches you how to analyze data in Python using 10 essential Pandas functions. Through practical examples with real-world datasets, you'll gain the skills to clean, explore, and transform data efficiently.
What You'll Learn
- How to import and read CSV files into Pandas
- Essential data exploration techniques using head(), info(), and describe()
- Methods to handle missing data with dropna() and fillna()
Who This Is For
- Python beginners looking to start with data analysis
- Aspiring data analysts and scientists
- Professionals needing basic Pandas skills
Key Benefits
- Hands-on experience with real-world datasets
- Learn industry-standard data analysis techniques
- Build a foundation for advanced data science skills
Curriculum Highlights
- Introduction to Pandas for Data Analysis
- Data reading and exploration functions
- Data cleaning and transformation techniques
Focused display
Category
- language english
- Training sessions 15
- duration 36:32
- Release Date 2025/05/27
