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Data Analysis Online Course | Data Analytics Training in Ameerpet

<br>Data Analysis Online Course - Join now in Visualpath Training Institute and enhance your career by learning Data Analysis Online Training Course by real-time experts and with live projects, get real-time exposure to the technology. Call on 91-9989971070. <br>Telegram: https://t.me/ bEu9LVFFlh5iOTA9<br>WhatsApp : https://www.whatsapp.com/catalog/919989971070/<br>Visit : https://www.visualpath.in/data-analytics-online-training.html<br>

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Data Analysis Online Course | Data Analytics Training in Ameerpet

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  1. Exploratory Data Analysis with Visual Analytics +91-9989971070 www.visualpath.in

  2. 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. 1th 2th 3th 4th h

  3. 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:

  4. 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.

  5. 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.

  6. 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.

  7. 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@visualpath.in

  8. THANK YOU www.visualpath.in

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