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Tableau Course in Pune

Empower your Career with the Best Tableau course

Comprehensive & Competitive Assessments | Qualified & Experienced Data Analytics Trainers | Focus on Practical Learning
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    Fuel Your Ambition with Expert Guidance

    Course Includes

    Projects

    Assignments

    Lifetime Access

    Certificate

    (Course Completion)

    Interview Preparation

    (DSA and Soft skills training)

    100% Placement Assistance

    Tableau Course Overview

    Tableau is a Business Intelligence tool for visually analyzing the data. Users can create and distribute an interactive and shareable dashboard, which depict the trends, variations, and density of the data in the form of graphs and charts. Tableau can connect to files, relational and Big Data sources to acquire and process data. The software allows data blending and real-time collaboration, which makes it very unique. It is used by businesses, academic researchers, and many government organizations for visual data analysis. It is also positioned as a leader Business Intelligence and Analytics Platform in Gartner Magic Quadrant.
     
    As a leading data visualization tool, Tableau has many desirable and unique features. Its powerful data discovery and exploration application allows you to answer important questions in seconds. You can use Tableau’s drag and drop interface to visualize any data, explore different views, and even combine multiple databases easily. It does not require any complex scripting. Anyone who understands the business problems can address it with a visualization of the relevant data. After analysis, sharing with others is as easy as publishing to Tableau Server.

    Become an expert in Data Visualization with Tableau Certification Course in Pune

    Who can use Tableau ?

    Tableau is designed for all those readers who want to create, read, write, and modify Business Intelligence Reports using Tableau. In addition, it will also be quite useful for those readers who would like to become a Data Analyst or a Data Scientist.

    Tableau Features

    Tableau provides solutions for all kinds of industries, departments, and data environments. Following are some unique features which enable Tableau to handle diverse scenarios.

      • Speed of Analysis
      • Self-Reliant
      • Visual Discovery
      • Blend Diverse Data Sets
      • Architecture Agnostic
      • Real-Time Collaboration
      • Centralized Data

    What Our Learners Say

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    Mubarak Mulla
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    My internship experience at ITView was very good and informative. I learned many new technical skills and got practical knowledge through hands-on training. The trainers were supportive and explained the concepts clearly. This internship helped me improve my confidence and gain valuable experience for my future career. Overall, it was a great learning experience.
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    Shreyash Yadav
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    Excellent learning experience at ITView Inspired Learning! The trainers are knowledgeable, supportive, and explain concepts in a simple and practical way. The hands-on projects and guidance helped me improve my technical skills and confidence. The staff is also friendly and helpful. Highly recommended for anyone looking to build a career in IT!
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    Govind Patil
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    My internship at IT View was a very useful and enjoyable learning experience. It gave me a chance to gain practical knowledge, improve my skills, and understand how work is done in a professional environment. I am grateful to Nirali Mam for her continuous guidance and support. She explained things clearly, encouraged me to learn, and helped me whenever I faced difficulties. Overall, I had a positive experience at IT View and would recommend it to students who want to gain practical exposure and improve their skills. ⭐
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    Mayuresh Tare
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    The three-month Python internship was a very valuable experience for me. At the beginning, I had only basic knowledge of Python, but now I feel much more confident in coding. I explored different areas such as loops, functions, modules, and even data visualization with Python.
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    Soham Beldar
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    The Full Stack Python course at IT View Inspired Learning has been a great learning experience. The concepts are explained in a simple and understandable way, with practical examples and hands-on projects. The trainers are supportive and clear doubts patiently. I especially liked the practical approach to Python, Django, frontend development, and database concepts. Overall, it is a good platform for anyone who wants to build strong Full Stack Python development skills.
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    Jay Bachhav
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    My experience with ITView has been truly wonderful and memorable. The learning environment is very supportive, and the trainers are knowledgeable, friendly, and always ready to clear doubts. I got the opportunity to learn practical skills and improve my technical knowledge through hands-on experience. I am especially grateful for the guidance and support I received throughout my internship. It helped me gain confidence and understand how things work in a real professional environment. Thank you, ITView, for such a valuable learning experience. I will always be thankful for the knowledge, support, and memories I gained here. ❤️
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    Gaurav Salve
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    Had an excellent experience while doing full stack in python in ITView. They have very supportive, well trained and humble staff that I've ever seen 😊. ITView has quality teaching and everything that we could ask for ! Truly consider it anyone who's looking for an internship course !!
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    Rushikesh Algude
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    Had a really good experience at ITView Inspired Learning while studying Full Stack Python. The trainers were friendly, supportive, and explained everything clearly. It wasn’t just about learning theory—we also focused on practical understanding and hands-on work, which made the concepts much easier to understand. The overall learning environment was comfortable and interactive. Definitely a good place to learn and improve your technical skills! 👍
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    Harshala Gaikwad
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    A valuable internship experience at IT View that helped me gain practical knowledge, improve my skills, and work on projects it really helped me😊Thankyou for your guidance and support 🙏🏻

    ITView's Career-Ready Placement Process

    Training Blueprint

    Our Hiring Partners

    300+ top companies that trust ITView graduates for their IT hiring needs.

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    300+
    Hiring Partners
    1200+
    Students Placed
    95%
    Placement Rate
    7+
    Years of Excellence

    Tableau Course in Pune - Comprehensive Course Outline

     Master data visualization with our Tableau classes in Pune, covering two key modules: Tableau Fundamentals and Advanced Tableau. You learn dashboards, calculations, and Tableau Online through hands-on training, real-world projects, and industry-focused learning.

    Duration: 6 MONTHS

    Sessions:

    4 Weekdays /2 per Week

    Prerequisites :

    No prior experience required. Basic Computer Skills are an advantage.

    Tableau Fundamentals

    Advanced Tableau

    Fundamental

    Introduction & Installation

    Data Connectors & Joins

    Dimensions & Measures

    Charts & Maps (Heat Map, Tree Map)

    Core Application

    Filters, Sets & Parameters

    Calculated Fields & Date Functions

    Table Calculations

    LOD Expressions (Fixed, Include, Exclude)

    Integration & Advanced

    Dashboards & Actions

    Data Blending & Extracts

    Forecasting & Clustering

    Tableau Online & Publishing

    Project

    Final Capstone Dashboard Project

    Advanced Charts (Gantt, Funnel, Waterfall)

    Resume Building & Interview Prep

    Certificate of Completion

    Every Feature Empowers The Career You’ve Always Wanted

    Every Feature Empowers The Career You’ve Always Wanted

    Pan India Placements

    80% Practical Training

    Industry Recognized Certifications

    Integrated Internship

    Personalised Career Coach

    1:1 Doubt Resolution Support

    Multi-Industry Interview Preparation

    Alumni Network

    Profile Building Session

    Industry Projects

    Course Curriculum

    Tableau Course Curriculum
    1. Buisness Intelligience Overview
      • Introduction to Tableau
      • Product Components
      • Architecture
      • Need of Data Visualization
      • Data Connectors
      • Data Model
      • File Types
      • Dimensions & Measures
      • Show Me
      • Installing Tableau
      • Different Tableau versions and pricing
      • Look and feel of dashboards created in Tableau
      • Joins Supported in Tableau.
    2. Hierarchy
      • Worksheet Options
      • File Types
      • Heap Map
      • Tree Map
      • Highlight table
      • Symbol Map
      • Filled Map
      • Scatter Plot
    3. Data Source Filters
      • User Filter overview
      • Parameters
      • Groups
      • Sets Basic.
    4. Constant Sets
      • Computed Sets
      • IN Members-Out Members
      • Combined Sets
      • Aggregated& non Aggregated Values
      • Adhoc Calculations
      • Types of Calculations (Basic, Table, LOD)
      • Calculated Fields
      • ZN Function
      • How to find No of occurrence of letters?
    5. Date Functions
      • How to find no of days to ship?
      • how to find month
      • Type Conversions
      • Logical Functions
      • IIF Function
      • User Functions
    6. Table Calculations
      • First()
      • Last()
      • Index()
      • Rank()
      • Rank Dense()
      • Rank Modified
      • Rank Percentile
      • Rank Unique
      • Running Average
      • Windows Functions
      • Conditional Colouring using windows functions
      • Difference between Normal Aggregation & Windows Aggregations
      • Quick Table Calculations – Compute Using Table Across-Pane Across Etc.
      • Calculation Assistance
    7. Table Functions
      • Running Total Difference
      • Percentage Difference
      • Percent of Total Percentile
      • Moving Average
      • YTD Total
      • Compound growth Rate
      • Rank Methods- “Competition, Modified Competition, Dense”
      • LOD Calculations-Fixed LOD
      • Include LOD
      • Exclude LOD with examples
      • Include
      • Exclude LOD
      • What is specified dimension & what is view, dimension
    8. Page Shelf
      • Analytics Window
      • Constant Line
      • Average Line
      • Median with quartiles & Totals
      • Model (Average with 95% CI, median with 95%, quartile, cluster)
      • Custom (Reference Line, Reference Band, Distribution, Band) with examples
      • Confidence Interval (CI)
      • Clusters
      • K-Means
      • Clustering
    9. Forecasting
      • 4 Factors of forecasting (Trend, Seasonality, Cyclic Fluctuations, Residues/Noise)
      • Forecast Options
      • Forecast Models
      • Additive
      • Multiplicative
      • Quality
      • Trend Line
      • Types (Linear, Exponential, Logarithmic, Polynomial)
        Options(Linear, Exponential, Logarithmic, Polynomial Degree)
      • Box plot
      • Dashboards
      • Purpose of Dashboard
      • Actions
      • Highlights
      • Action URL
      • Select
      • Hover
      • Menu in Actions with examples
    10. Device Preview
      • Layout manager
      • Layout Objects
      • Horizontal Vertical
      • Objects
      • text
      • Images
        Fixed and floating sheets
        Story
      • Caption
        number
        dots, etc..
    11. Data Blending
      • Data Blending Example
      • Cross-Database Joins
      • Data Extracts
    12. API Integration with tableau
      • Javascript from embdedded Analytics Using
    13. Maps using groups
      • Dual axis maps
      • YTD
        MTD
        QTD Calculations
      • How to calculate Last Year Sales
      • Current Year Sales
      • Current Year Sales
    14. Advanced Visualization
      • Gant Chart
        Histogram
      • Funnel Chart
        Traditional
      • funnel chart
        Bump Chart
      • Waterfall Chart
        Control Chart.
    15. . Tableau Online
      • User Interface
      • Publishing Workbooks
      • Data Sources
      • Scheduling
      • Extract Refresh
      • Creating Projects
      • Creating Groups
      • Users
        Assigning Permissions to users
      • Subscriptions of reports.
    16. Tableau Online User Filter
      • DataSource Filters
    17. PROJECT
      • Dashboards

    Our Placement Process

    From classroom to career — here's how we get you placed.

    01
    🎓
    Course Completion with Projects
    Build real-time projects that strengthen your portfolio and impress recruiters.
    02
    📄
    Resume Preparation
    Expert-crafted resume and LinkedIn profile that stands out to recruiters.
    03
    🧑💼
    Mock Interviews
    Practice technical and HR rounds with real feedback to build confidence.
    ↓   ↓   ↓
    04
    🏢
    Profile Submission to Companies
    Your profile shared with 300+ hiring partners across top IT companies.
    05
    📅
    Interview Scheduling
    We coordinate and schedule every interview so you never miss an opportunity.
    06
    🎉
    Offer Letter Support
    Guidance on offer letters, salary negotiation & joining for a smooth start.
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