TABLEAU TRAINING IN PUNE
Best Data Analytics Tool with Online & offline classes
Tableau Duration of Training : 32 hrs
Tableau Batch type : Weekdays/Weekends
Tableau Mode of Training : Classroom/Online/Corporate Training
Tableau Training & Certification in Pune
Highly Experienced Certified Trainer with 10+ yrs Exp. in Industry
Realtime Tableau Projects, Scenarios & Assignments
Why Radical Technologies
Pre-Requisites :
The best thing about Tableau is that there is no prerequisite to learn this software. With zero technical or any programming skills, one can learn and master this tool suite
Tableau Learning Objectives :
At the end of this class, the student will be able to :
- Build advanced chart types and visualizations
- Build complex calculations to manipulate your data
- Work with statistics and statistical techniques
- Work with parameters and input controls
- Implement advanced geographic mapping techniques and use custom images to build spatial visualizations of non-geographic data
- Implement all options in working with data: Joining multiple tables, data blending, performance considerations and working with the Data Engine, and understand when to implement which connection method.
- Build better dashboards using techniques for guided analytics, interactive dashboard design and visual best practices
- Implement many efficiency tips and tricks
- Understand the basics of Tableau Server and other options for sharing your results
Is SQL required to learn Tableau?
You must have to have a basic knowledge of SQL, and this would help in writing custom queries which is not possible through to frag and drop functionality to achieve complex data set building.
TABLEAU COURSE CONTENT :
1. Tableau Introduction and Getting Started
- Why Tableau? Why Visualization?
- The Tableau Product Line
- Level Setting – Terminology
- Getting Started – creating some powerful visualizations quickly
- Review of some Key Fundamental Concepts
- What is Tableau?
- What does the Tableau product suite comprise of? How Does Tableau Work?
- Tableau Architecture
- Connecting to Data & Introduction to data source concepts
- Understanding the Tableau workspace
- Dimensions and Measures
- Data Types & Default Properties
- Tour of Shelves & Marks Card
- Using Show Me
- Saving and Sharing your work-overview
2. Filtering, Sorting & Grouping
Filtering, Sorting and Grouping are fundamental concepts
when working with and analyzing data. We will briefly review these topics as they apply to Tableau
- Advanced options for filtering and hiding
- Understanding your many options for ordering and grouping your data: Sort, Groups, Bins, Sets
- Understanding how all of these options inter-relate
3. Working with Data
In the Advanced class, we will understand the difference between joining and blending data, and when we should do each. We will also consider the implications of working with large data sets, and consider options for when and how to work with extracts and the data engine. We will also investigate best practices in “sharing” data sources for Tableau Server users.
- Data Types and Roles
- Dimension versus Measures
- Data Types
- Discrete versus Continuous
- The meaning of pill colors
- Database Joins
- Data Blending
- Working with the Data Engine / Extracts and scheduling extract updates
- Working with Custom SQL
- Adding to Context
- Switching to Direct Connection
4. Working with Calculated Data and Statistics
In the Fundamentals Class, we were introduced to some basic calculations: basic string and arithmetic calculations and ratios and quick table calculations. In the Advanced class, we will extend those concepts to understand the intricacies of manipulating data within Tableau
5. A Quick Review of Basic Calculations
Arithmetic Calculations
String Manipulation
Date Calculations
Quick Table Calculations
Custom Aggregations
Custom Calculated Fields
Logic and Conditional Calculations
Conditional Filters
6. Advanced Table Calculations
Understanding Scope and Direction
Calculate on Results of Table Calculations
Complex Calculations
Difference From Average
Discrete Aggregations
Index to Ratios
7. Working with Parameters
In the Fundamentals class, we were introduced to parameters – How to create a parameter and use it in a calculation. In the Advanced class, we will go into more details on how we can use parameters to modify our title, create What-If analysis, etc
Parameter Basics
Data types of parameters
Using parameters in calculated fields
Inputting parameter values and parameter control options
Advanced Usage of Parameters
Using parameters for titles, field selections, logic statements, Top X
8. Building Advanced Chart Types and Visualizations/Tips & Tricks
This topic covers how to create some of the chart types and visualizations that may be less obvious in Tableau. It also covers some of the more common tips & tricks/techniques that we use to assist customers in solving some of their more complex problems.
- Bar in Bar
- Box Plot
- Bullet Chart
- Custom Shapes
- Gantt Chart
- Heat Map
- Pareto Chart
- Spark Line
- KPI Chart
9. Best Practices in Formatting and Visualizing
- Formatting Tips
- Drag to Legend
- Edit Legend
- Highlighting
- Labeling
- Legends
- Working with Nulls
- Table Options
- Annotations and Display Options
- Introduction to Visualization Best Practices
10. Data Analysis And Reporting
- Data Analysis using Pivot Tables – use of row and column shelf, values and filters
- Difference between data layering and cross tabulation, summary reports, advantages and limitations
- Change aggregation types and summarisation
- Creating groups and bins in pivot data
- Concept of calculated fields, usage and limitations
- Changing report layouts – Outline, compact and tabular forms
- Show and hide grand totals and subtotals
- Creating summary reports using pivot tables
11. SQL : Data Manipulation (DML Commands)
- Insert, Update & Delete statements
- Select statement – Subsetting, Filters, Sorting. Removing Duplicates, grouping and aggregations etc
- Where, Group By, Order by & Having clauses
- SQL Functions – Number, Text, Date, etc
- SQL Keywords – Top, Distinct, Null, etc
- SQL Operators – Relational (single valued and multi valued), Logical (and, or, not), Use of wildcard operators and wildcard characters, etc
12. SQL : Accessing Data From Multiple Tables Using SELECT
- Append and JoinsUnion and Union All – Use & constraints
- Intersect and Except statements
- Table Joins – inner join, left join, right join, full join
- Cross joins/cartesian products, self joins, natural joins etc
- Inline views and sub-queries
- Optimizing your work
13. Tableau : Data Handling & Summaries
- Date Aggregations and Date parts
- Cross tab & Tabular charts
- Totals & Subtotals
- Bar Charts & Stacked Bars
- Line Graphs with Date & Without Date
- Tree maps
- Scatter Plots
- Individual Axes, Blended Axes, Dual Axes & Combination chart
- Parts of Views
- Sorting
- Trend lines/ Forecasting
- Reference Lines
- Filters/Context filters
- Sets
- In/Out Sets
- Combined Sets
- Grouping
- Bins/Histograms
- Drilling up/down – drill through
- Hierarchies
- View data
- Actions (across sheets)
14. Tableau : Building Advanced Reports/ Maps
- Explain latitude and longitude
- Default location/Edit locations
- Building geographical maps
- Using Map layers
15. Tableau : Calculated Fields
- Working with aggregate versus disaggregate data
- Explain – #Number of Rows
- Basic Functions (String, Date, Numbers etc)
- Usage of Logical conditions
16. Tableau : Table Calculations
- Explain scope and direction
- Percent of Total, Running / Cumulative calculations
- Introduction to LOD (Level of Detail) Expressions
- User applications of Table calculations
17. Tableau : Parameters
- Using Parameters in
- Calculated fieldsBins
- Reference Lines
- Filters/Sets
- Display Options (Dynamic Dimension/Measure Selection)
- Create What-If/Scenario analysis
18. Tableau : Building Interactive Dashboards
- Combining multiple visualizations into a dashboard (overview)
- Making your worksheet interactive by using actions
- Complete Interactive Dashboard for Sales & Services
19. Tableau : Formatting
- Options in Formatting your Visualization
- Working with Labels and Annotations
- Effective Use of Titles and Captions
20. Tableau : Working With Data
- Multiple Table Joins
- Data Blending
- Difference between joining and blending data, and when we should do each
- Toggle between to Direct Connection and Extracts
RECOMMENDED COMBO :
TABLEAU + BUSINEES ANALYTICS
ORACLE SQL+ INFORMATICA + TABLEAU
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Most Probable Interview Questions for Tableau
Interview Question No. 1 for Tableau : Can you explain your experience with Tableau Training and how it has prepared you for this role?
Interview Question No. 2 for Tableau : What motivated you to pursue Tableau Certification, and how has it contributed to your professional development?
Interview Question No. 3 for Tableau : Can you discuss a challenging project you worked on using Tableau and how you overcame obstacles during its implementation?
Interview Question No. 4 for Tableau : How do you stay updated with the latest features and updates in Tableau software?
Interview Question No. 5 for Tableau : Can you demonstrate your proficiency in Tableau by describing a complex data visualization you’ve created?
Interview Question No. 6 for Tableau : How do you approach data preparation and cleaning before visualizing it in Tableau?
Interview Question No. 7 for Tableau : Can you explain the difference between Tableau Desktop and Tableau Server, and when would you choose one over the other?
Interview Question No. 8 for Tableau : Have you ever encountered performance issues with Tableau dashboards, and if so, how did you optimize them?
Interview Question No. 9 for Tableau : Can you discuss your experience with integrating Tableau with other data sources or platforms?
Interview Question No. 10 for Tableau : How do you ensure data security and compliance while working with sensitive information in Tableau?
Interview Question No. 11 for Tableau : Can you describe a scenario where you had to collaborate with a team to deliver a Tableau project, and what was your role in the collaboration?
Interview Question No. 12 for Tableau : How do you handle stakeholder feedback and iterate on Tableau dashboards to meet their requirements?
Interview Question No. 13 for Tableau : Can you share your approach to storytelling with data using Tableau visualizations?
Interview Question No. 14 for Tableau : How do you troubleshoot technical issues or errors encountered while working with Tableau?
Interview Question No. 15 for Tableau : Can you discuss your familiarity with advanced Tableau features such as LOD calculations or parameter actions?
Interview Question No. 16 for Tableau : Have you ever conducted Tableau training sessions or workshops? If so, what topics did you cover, and how did you ensure effective learning outcomes?
Interview Question No. 17 for Tableau : Can you explain the importance of data governance and quality assurance in Tableau projects?
Interview Question No. 18 for Tableau : How do you prioritize tasks and manage deadlines when working on multiple Tableau projects simultaneously?
Interview Question No. 19 for Tableau : Can you provide examples of how you have used Tableau to derive actionable insights and drive business decisions?
Interview Question No. 20 for Tableau : How do you approach performance monitoring and optimization of Tableau Server deployments in an enterprise environment?
Learn Tableau – Course in Pune with Training, Certification & Guaranteed Job Placement Assistance!
At Radical Technologies in Pune, we are dedicated to providing top-notch Tableau training and certification programs tailored to meet the demands of today’s data-driven world. With a focus on excellence and innovation, our institute stands out as a premier destination for individuals seeking comprehensive education in Tableau.
With expertise in Tableau Course design, our team ensures that each program encompasses the latest industry trends and best practices. Whether you’re a novice eager to explore the fundamentals or a seasoned professional aiming to refine your skills, our Tableau Training Courses cater to diverse skill levels and learning objectives.
Our Tableau Classes, both in-person and online, offer dynamic learning experiences facilitated by experienced instructors who are experts in their field. Through interactive sessions, hands-on exercises, and real-world projects, students gain practical insights into data visualization, dashboard creation, and advanced analytics using Tableau software.
Furthermore, our Tableau Certification programs empower individuals to validate their proficiency and enhance their career prospects in the competitive job market. We guide our students through the certification process, equipping them with the knowledge and confidence to excel in Tableau Desktop, Tableau Server, and other specialized certifications.
At Radical Technologies, we understand the importance of job placement assistance in today’s fast-paced industry. That’s why we go the extra mile to support our students in their career endeavors. From resume building to mock interviews and networking opportunities, we strive to bridge the gap between learning and employment, ensuring our graduates are well-prepared to embark on successful Tableau careers.
Located in Pune, our institute serves as a hub for aspiring data enthusiasts, professionals, and organizations seeking to harness the power of Tableau for data visualization and analysis. Our commitment to excellence, coupled with our passion for empowering individuals through education, makes us the preferred choice for Tableau Training in Pune and beyond.
Join us at Radical Technologies, where your journey to becoming a proficient Tableau expert begins. Explore our range of Tableau Training Courses, unlock your potential, and embark on a rewarding career path fueled by data-driven insights and innovation.
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