Python Data Analysis & Visualization Bootcamp

BY
Udemy

Lavel

Beginner

Mode

Online

Fees

₹ 549 2999

Quick Facts

particular details
Medium of instructions English
Mode of learning Self study
Mode of Delivery Video and Text Based

Course and certificate fees

Fees information
₹ 549  ₹2,999
certificate availability

Yes

certificate providing authority

Udemy

The syllabus

Setup & Jupyter Environment (Python 3)

  • Introduction to the Study Kit
  • Downloading Setup and Installation
  • Installing Work Environment - Jupyter Notebook
  • Exploring Jupyter Notebook functionalities
  • Python Package Index - Using Command line interface and Jupyter Notebook

Data Manipulation with Numpy (Python 3)

  • Getting Started - Numpy Arrays (Numerical Python)
  • Scalar Operations on Numpy Arrays
  • Array Indexes - Part 1
  • Array Indexes in Multi-Dimensional Numpy Arrays
  • Premium Array Operations
  • Saving And Loading Arrays To External Memory
  • Statistical Processing And Sketching Graphs
  • Conditional Clauses And Boolean Operation

Data Manipulation with Pandas (Python 3)

  • Getting Started with Series
  • Introduction to DataFrames in Pandas
  • Learning to access elements with indexes
  • Re-indexing in pandas Series and Dataframes
  • Dropping values from Series and DataFrames
  • Handling Null or NAN values in pandas
  • Selecting and Modifying entries in Pandas
  • Coordinate and Regulate data in Series and Dataframes
  • Ranking and Sorting in Series
  • Statistical Data Analysis and Graphs in Pandas

Starting with File Operations (Python 3)

  • File Operations - Dataframes And Csv
  • Import Data From Excel File

Data Analysis and Methodologies - Learn to Perform Operations on Database (Python 3)

  • #1 Pandas - Merging along columns in DataFrames
  • #2 Concatenation of Arrays, Series and Dataframes
  • #3 Combining values of a DataFrame or Series
  • #4 Reshaping Datasets - Series and Dataframe
  • #5 Pivot Tables
  • #6 Duplicates Analysis in dataset
  • #7 Mapping in DataFrame
  • #8 Replace values in Series
  • #9 Renaming Indexes in DataFrame
  • #10 Observation, Filtering and Basic Analysis

Data Visualization

  • Data Visualization and Introduction to Seaborn Visualization Library
  • Histogram Visualization in seaborn
  • Seaborn Kernel Density Estimation (KDE) Plot on Univariates
  • Seaborn KDE Plot for multivariates
  • Plotting multiple charts with seaborn
  • Box Plot Visualization
  • Regression Plots with seaborn
  • Violin plot Visualization
  • Heat Maps Visualization
  • Cluster Map Visualization

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