Learning Python for Data Analysis and Visualization
- Offered byUDEMY
Learning Python for Data Analysis and Visualization at UDEMY Overview
Duration | 20 hours |
Total fee | ₹12,480 |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Beginner |
Credential | Certificate |
Learning Python for Data Analysis and Visualization at UDEMY Highlights
- 20 hours of video content
- Earn a certificate upon successful completion
- Gain Lifetime Access to Courseware
Learning Python for Data Analysis and Visualization at UDEMY Course details
- Anyone interested in learning more about python, data science, or data visualizations.
- This course is suited for people who have never programmed as well as people already familiar with python.
- Anyone interested about the rapidly expanding world of data science
- Use the numpy library to create and manipulate arrays.
- Use the pandas module with Python to create and structure data.
- Learn how to work with various data formats within python, including: JSON,HTML, and MS Excel Worksheets.
- Create data visualizations using matplotlib and the seaborn modules with python.
- Youll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data.
Learning Python for Data Analysis and Visualization at UDEMY Curriculum
Intro to Course and Python
Course Intro
Set up
Installation Setup and Overview
IDEs and Course Resources
iPython/Jupyter Notebook Overview
Learning Numpy
Creating arrays
Using arrays and scalars
Indexing Arrays
Array Transposition
Universal Array Function
Array Processing
Array Input and Output
Intro to Pandas
Series
DataFrames
Index objects
Reindex
Drop Entry
Selecting Entries
Data Alignment
Rank and Sort
Summary Statistics
Missing Data
Index Hierarchy
Working with Data: Part 1
Reading and Writing Text Files
JSON with Python
HTML with Python
Microsoft Excel files with Python
Working with data part 2
Merge
Merge on Index
Concatenate
Combining DataFrames
Reshaping
Pivoting
Duplicates in DataFrames
Mapping
Replace
Rename Index
Binning
Outliers
Permutation
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