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    Python Data Analysis & Visualization Bootcamp

    BY
    Udemy

    Brochure Enquire
    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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