Data Analysis Online Course | Data Analytics Training in Ameerpet

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Exploratory Data Analysis with Visual Analytics
91-9989971070
www.visualpath.in
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• Data analytics and visual analytics are two
  closely related fields that play a crucial role
  in understanding and deriving insights from data.
  
• Let's explore both terms
• Data Analytics
• - Data analytics involves the process of
  examining, cleaning, transforming, and
  interpreting data to discover valuable insights,
  patterns, and trends. It encompasses a wide range
  of techniques and methods, including descriptive
  statistics, inferential statistics, machine
  learning, and more.
• - The primary goal of data analytics is to make
  data-driven decisions and provide actionable
  recommendations based on data.

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• 2. Visual Analytics
• Visual analytics is a specific subset of data
  analytics that focuses on the use of visual
  representations, such as charts, graphs,
  dashboards, and interactive visualization tools,
  to help people understand and explore complex
  data sets.
• Visual analytics combines data analysis with
  visual elements to make data more accessible,
  interpretable, and interactive.
• It leverages human perception and cognition to
  assist users in gaining insights from data by
  displaying information in a more intuitive and
  digestible format.

The key components of visual analytics include
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Data Visualization - Creating visual
representations of data to convey information
more effectively. - Common types of
visualizations include bar charts, line graphs,
scatter plots, heatmaps, and more. Interactivity
- Allowing users to interact with visualizations
to explore data from different angles, filter
specific data points, and drill down into
details. Data Integration - Combining data from
various sources and presenting it in a unified,
cohesive interface.
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• Data Analysis
• - Employing analytical tools and algorithms to
  perform statistical analysis and uncover hidden
  patterns within the data.
• Visual analytics is particularly useful for
  decision-makers, analysts, and data scientists
  who need to quickly grasp insights from large and
  complex datasets.
• It can help with tasks such as trend analysis,
  anomaly detection, pattern recognition, and
  hypothesis testing.
• Popular tools for visual analytics include
  Tableau, Power BI, QlikView, and open-source
  options like D3.js and Matplotlib in Python.

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• In summary, data analytics encompasses a broader
  spectrum of data-related activities.
• while visual analytics specifically focuses on
  the visual representation of data to enhance
• the understanding and interpretation of
  information for improved decision-making.
• Both fields are essential in today's data-driven
  world, as they help organizations make more
  informed choices and solve complex problems.

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CONTACT
For More Information About
Data Analytics Online Training
Address- Flat no 205, 2nd Floor
Nilgiri Block, Aditya Enclave,
Ameerpet, Hyderabad-16
Ph No 91-9989971070 Visit
www.visualpath.in E-Mail
online_at_visualpath.in
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