Women in Technology

Data & information

 

 

Collection of data

Organization of data

Presentation of data

Analysis of data

Data Analysis

  • Data analysis is defined as a process of cleaning, transforming, and modeling data to discover useful information for business decision-making.
  • The purpose of Data Analysis is to extract useful information from data and taking the decision based upon the data analysis.

Types

 

  1. Descriptive Analytics:

    • Objective: Describes what has happened in the past.
    • Focus: Summarizes and provides an overview of historical data.
    • Methods: Aggregation, summarization, and data visualization.
    • Example: Generating reports on monthly sales, summarizing website traffic, or creating dashboards displaying key performance indicators (KPIs).

  2. Diagnostic Analytics:

    • Objective: Examines past data to understand why a certain event happened.
    • Focus: Identifying patterns, correlations, and relationships.
    • Methods: Drill-down, data mining, and correlation analysis.
    • Example: Investigating the reasons behind a sudden spike or drop in sales, analyzing the factors contributing to customer churn, or identifying the root causes of production issues.

  3. Predictive Analytics:

    • Objective: Predicts future outcomes or trends based on historical data.
    • Focus: Forecasting and making predictions.
    • Methods: Statistical models, machine learning algorithms, and time-series analysis.
    • Example: Forecasting future sales based on historical data, predicting equipment failures in a manufacturing plant, or estimating the likelihood of a customer making a purchase.

  4. Prescriptive Analytics:

    • Objective: Recommends actions to optimize a particular outcome.
    • Focus: Providing advice on what actions to take to achieve desired results.
    • Methods: Optimization algorithms, simulation, and decision analysis.
    • Example: Recommending optimal pricing strategies for products, suggesting personalized marketing approaches for different customer segments, or advising on inventory levels to minimize stockouts.

Methods

Pandas

Numpy

matplotlib

Seaborn

Scikit-learn

Pandasql

Uplifting the gross roots using Foss

Vijayalakshmi

VGLUG Foundation

Sept 14, 2023

DebConf 23, Kochi

Uplifting the gross roots using Foss

Vijayalakshmi

VGLUG Foundation

Sept 14, 2023

DebConf 23, Kochi

VGLUG?

Foss into the Mass

Mass into the Foss

  1. Meet-ups 
  2. SFD(Software Freedom Day)
  3. Workshops in colleges
  4. Hackathons
  5. conferences

Foss Meet-ups

College Glugs 

Foss Technology Trainings

100 Glugs in 100 villages

 

 

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