Advanced Programs in Data Visualization
Data Visualisation helps businesses to get meaningful insights. It allows them to understand various strategies very clearly and have a crisp report of what is required and what is done since many technical works need data representation.

Monthly Recurring Batch

Program Duration

6 Months

Learning Format

Blended Learning

Program Fees

$2000

Course Overview

Visualize data using pandas, matplotlib, and seaborn libraries for data analysis and data science. Data Visualization helps businesses to get meaningful insights. It allows them to understand various strategies very clearly. It converts a large amount of data or information into smaller visuals which saves time and provides a brief report that is easy to understand. It allows them to have a crisp report of what is required and what is done. Many technical works need data representation. Data Science sometimes requires data representation, and this can be achieved using Python. A large quantity of information and data can be analyzed with Data Visualization using Python.

Training Key Features

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    What you will learn

    Acacia University Professional Development

    Acacia University Professional Development has initiated various programs in partnership with Airtics Education. The wide range of programs aims to upskill millions of students in trending technologies through a blend of theoretical and hands-on knowledge and are taught by leading academicians.

    Airtics Education’s Advanced Programs are offered as part of Acacia University Professional Development Programs, and the learners are certified by the University.

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    Skills Covered

    Word2vec

    Machine Translation

    Sentiment Analysis

    Transformers

    Attention Models

    Word Embeddings

    Locality-Sensitive Hashing

    Vector Space Models

    Parts-of-Speech Tagging

    N-gram Language Models

    Autocorrect

    Who Can Apply for the Course?

    Tools/ Frameworks/ Libraries

    Application And Use Cases

    Logistics and Delivery
    Web Search or Internet Web results
    Search Autocorrect and Autocomplete
    Customer segmentation
    Personalised Marketing
    Financial trading
    Marketing personalization
    Recommendations

    Eligibility

    There are no specific eligibility criteria for admission to the data visualization program. That being said, there are some specific skill sets that will help the student to learn the course better like basic maths skills, a desire to learn and basic spreadsheet knowledge.

    Prerequisites

    It is better to be familiar with databases, operations, and various features for learning Python Data Visualization. It is also crucial that you are good at Python programming and have an idea of what data visualization is.

    Course Modules

    • Python basics
      • Variable and data types
      • Conditional statements
      • Loops
      • Functions
    • Python Libraries
      • Numpy
      • Pandas
      • matplotlib

    LEARNING OUTCOMES

    • Learning python structure and how to write programs in it
    • Basic concepts of Python, its syntax, functions, and conditional statements
    • Acquire the prerequisite Python skills to move into specific branches – Machine Learning, and Data Science
    • Understand packages to enable them to write scripts for data manipulation and analysis
    • Linear algebra
    • Probability
    • Statistics
    • Data Cleaning
    • Data Pre-processing
    • Statistical tools
      • CSV
      • Excel

    LEARNING OUTCOMES

    • Introduce statistical tools for working with datasets
    • Learn the essentials of probability and statistics for data analysis & visualization
    • Know how to import and clean data using libraries like NumPy and Pandas for data exploration and analysis
    • Learning to fix incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset
    • Data visualization introduction
    • Types of charts
    • SQL and Databases
    • SQL commands
    LEARNING OUTCOMES
    • Acquire a fundamental understanding of the analytical techniques and software tools necessary to effectively generate useful information from structured and unstructured datasets of any size CHARTS
    • Gain experience in using the tools and techniques of data science to structure and complete projects focused on obtaining actionable insights from complex data
    • Dive deeply into a chosen area of practice to fully prepare to use the knowledge gained in the program to add significant value in a professional setting
    • Be able to utilize knowledge and skills to continue learning and adapting to new data science technologies
    • PowerBI
    • Report views in PowerBI
    • Data sorting
    • Data transformation
    • Data Filtering
    • Excel tool
    • Power Query Editor

    LEARNING OUTCOMES

    • Power BI’s Data, Model, and Report views
    • learn how to change and format a wide range of visualizations, before moving on to sorting data and creating hierarchies—making it possible for you to drill into your reports
    • learn how to shape and transform your data before the data analysis using Power Query Editor
    • How to filter the information in your reports by location and control how these filters interconnect and interact with other visuals in your report

    Interested in This Program? Secure your spot now.

    The application is free and takes only 5 minutes to complete.

      Student Reviews

      Veeraiah Yadav Doddaka
      IT Manager, Samsung

      I choose to learn Data Science and explored many options on which institute to join, among that what I found is Airtics as the best in terms of the course curriculum/on line content they designed and most…..

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      Prasad Joshi
      RF Optimization Engineer, Nokia

      I was a Data Science student at Airtics Education, which helped build a solid data science background and sharpen my programming skills…

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      Mohamed Hanan
      Procurement Assistant

      The program in Data Science offered by Airtics Education is rigorous and has provided me with a greater understanding of the data science world…

      Read More

      Capstone Projects

      Showcase your capabilities with real-world projects

      Bring Your Own Project
      Learn to solve a problem that you/your organization is facing using Data Visualization

      or

      Choose From Curated Capstone Projects

      Trending YouTube Video Statistics

      Women's E-Commerce Clothing Reviews

      Human Resources Data Set

      Frequently Asked Questions

      Yes, python is good for data visualization. It is a python library that is used for data visualization. Python is well equipped for data visualization and customizing graphics is easier. Despite being over a decade old, matplotlib is still the most widely used library for plotting in python. Python has too many great libraries which are used for data visualization. These libraries come packed with many features. Python libraries also include support for all types of visual, live customized charts. Even though it is easy to learn, Python is applicable more than an entry-level programming language. It is consistently used at the highest levels in data analysis. Python is the language of choice when it comes to data visualization software.
      It is better to be familiar with databases, operations, and various features for learning Python Data Visualization. It is also crucial that you are good at Python programming and have an idea of what data visualization is.
      Data visualization is the process of trying to understand and compare the data by placing it in a visual context. These patterns are trends that cannot be detected or exposed. When we come to the topic of data visualization in Python, Python offers great and multiple graphing libraries which come packed with lots of different features. Data visualization tools provide us with an accessible way of seeing and understanding trends, outliers, and patterns in data.

      What is included in this course?

      I’m Interested in This Program

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        Course Preview

        Advanced Programs in Data Visualization


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