Data Analysis With Python Course Content
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Students for Data Analysis With Python requires 40 hours to Study / Complete the course
Data Analysis With Python Course Content
C Programming
C++ Programming
Python Course Module 01: NUMPY
- Intro to numpy
- Creating Arrays
- Using arrays and scalars
- Indexing Arrays
- Array Transposition
- Universal Array Function
- Array Processing
- Array Input and Output
Python Course Module 02: PANDAS
- Series
- DataFrames
- Index Objects
- Reindexing
- Drop Entry
- Selecting Entries
- Data Alignment
- Rank and Sort
- Summary Statistics
- Missing Data
- Index Hierarchy
Python Course Module 03: READING & WRITING DATA
- Reading and Writing Text Files
- JSON with Python
- HTML with Python
- Excel with Python
Python Course Module 04: NUMPY
- Merge
- Merge on Index
- Concatenate
- Combining DataFrames
- Reshaping
- Pivoting
- Duplicates in DataFrames
- Mapping
- Replace
- Rename Index
- Binning
- Outliers
- Permutation
- GroupBy on DataFrames
- Groupby on Dict and Series
- Aggregation
- Splitting, Applying and Combining
- Cross-Tabulation
Python Course Module 05: DATA VISUALIZATION
- Installing Seaborn
- Histograms
- Kernel Density Estimation Plots
- Combining Plot Styles
- Box and Violin Plots
- Regression Plots
- Heatmaps and Clustered Matrices