Mastering 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

$2250

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

For More Information

    What you will learn

    About Acacia University Extension (AUX)

    AUX, an extension of the prestigious Acacia University, USA, 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.

    Upon completion of these programs, you will receive an Advanced Certification from AUX.

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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

    Best suited for working professionals with less than one year of work experience in any area who want to start a career in Data Analysis & Business Analytics. We have a different course for Programmers & Core tech background professionals. (AI and ML).

    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

    Topics Covered: MSBI,MS-SQL,Tableau,Dashboarding,Tableau,PowerBI,Power Charts,Informatica,Azure Data Factory,Data Lake,Elastic Pool,SQL DBA,Qlik Sense,Data Warehousing,Data Modeling,SSIS,SSRS,SSAS

    • Why do we need Data Visualization?
    • Reports and dashboards
    • BI tools in the market and comparison
    • Exploratory data analysis
    • All basic charts (Bar, Pie, Histogram, Scatter, KPI, waterfall, line, treemap, filled map, area chart, etc.)
    • Custom visuals and importance
    • Database concepts
    • RDBMS concepts
    • SQL and hands-on Data Modelling
    • What are PowerBI, PowerBI App and licencing differences across free, pro, premium
    • Installing PowerBI Desktop and Source file connections
    • Power Query Editor
    • Exploring the interface of the Data model
    • DAX
    • Creating charts in PowerBI using case studies (Bar, Pie, Histogram, Scatter, KPI, waterfall, line, treemap, filled map, area chart, etc.)
    • Creating dashboards in PowerBI using case studies
    • Creating charts in Tableau using case studies (Bar, Pie, Histogram, Scatter, KPI, waterfall, line, treemap, filled map, area chart, etc.)
    • Creating dashboards in Tableau using case studies

    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…..

      Read More

      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…

      Read More

      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

      Trending YouTube Video Statistics

      Women's E-Commerce Clothing Reviews

      Human Resources Data Set

      Career Support

      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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        Mastering Data Visualization


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