Explanation
Data Analyst in Python, Start your journey to become a data analyst using Python – one of the most popular programming languages in the world. No previous coding experience is required; You’ll start from scratch and learn how to import, clean, edit, and visualize data—all essential skills for a data professional or researcher. You’ll start your data analysis training with interactive exercises and get familiar with some of the most popular Python libraries, including pandas, NumPy, Seaborn, and more. You’ll learn why Python for data analysis is so popular and work with real-world databases to develop your data manipulation and data analysis skills. As you go through the courses, you will cover topics such as data manipulation and data integration. You will also learn important statistics skills, such as hypothesis testing. Get started today, develop your Python skills, and begin your journey to becoming a confident data analyst.
What will you learn?
- Introduction in Python
- Medium Python
- data Activities with pandas
- joining data with pandas
- Introduction to Statistics in Python
- Introduction to draw Seaborn Data
- exploration Data Analysis in Python
- Sample in Python
- imagination Testing with Python
Python Data Analyst Guide
- Publisher: data camp
- Teacher: Hugo Bowne-Anderson, Richie Cotton , Maggie Matsui
- Language : English
- Level : All Levels
- Number of courses: 9
- Duration : 36 hours and 0 minutes
Python Data Analyzer Content
Pictures
Sample Clip
Installation Guide
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Subtitle : English
Quality: 720p
This course consists of 9 courses
Download Links
Introduction to Python
Download – 150 MB
Python neutral
Download – 218 MB
Applying data to pandas
Download – 84 MB
Joining Pandas Data
Download – 88 MB
Introduction to Python Statistics
Download – 91 MB
Introduction to Seaborn Image Data
Download – 69 MB
Analyzing Survey Data in Python
Download – 94 MB
Python sampling
Download – 83 MB
Hypothesis testing in Python
Download – 86 MB
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file size
966MB