- Hands-on sessions prioritized over theory
- Theoretical aspects covered as needed
- Instructor-led sessions with ample opportunity for doubts clarification
- Industry expert-led training
- Limited students per batch
Tableau, a renowned data visualization software, empowers users to craft interactive and insightful visualizations from diverse data sources effortlessly. You can connect it to different kinds of data and then make cool graphs and stuff to understand what the data is telling you. The best part? Its intuitive interface allows for easy usage without the need for coding, while enabling users to derive additional visualizations from existing ones. This accessibility and versatility make Tableau a preferred choice for data-driven decision-making and effective communication of insights.
- What is Tableau ?
- Exploring Connector Types
- Exploring Superstore Data
- Data Manipulation Techniques
- Exploring Connection Types
- Live
- Extract
- Exploring Meta Data Grid
- Data Types
- Techniques for Changing Data Types
- Splitting Data and Custom Splits
- Understanding Tableau Desktop
- Dimension
- Measures
- Shelf Types
- Show Me (24 Default Charts)
- Deep Dive into Visualization Creation
- Crafting Charts (MD)
- Data Table (DM)
- Aggregations
- Default (SUM)
- How to change default aggregation
- Dimension/Measure Aggregation
- Customizing Visualization
- Exploring Marks Types
- Default Properties
- Exporting Data from Visualization into Excel
- Convert Visualization into Table
- Advanced Data Analysis
- Within Same Data source
- Across Multiple Data sources
- Using SQL Query
- Union
- Applying Filters
- Sorting Data
- Creating Calculated Field
- Organizing Data
- Using Groups
- Using Calculated Field
- Table Calculations
- Sets
- Parameters
- Incorporating Reference Line
- Trend Line
- Forecast
- Exploring Dashboard Objects
- Designing Dashboard
- Use of Padding
- Applying Actions
- Filter Action
- Higlight Action
- URL Action
- Set Action
- Parameter Action
- Action Trigger Options
- Dashboard Performace Optimization
- Publishing Dashboard
- Tips for Improving Tableau Proficiency
- Utilizing Advanced Features
- Project or Folder Creation
- Adding Folder Logo or Description
- Granting or Revoking Permission
- User Management
- Create, Modify or Remove User Account
- Managing User Groups
- Assigning user roles and permissions
- Schedule Management
- Creating and managing extract refresh schedules
- Monitoring scheduled tasks
- Performance Monitoring
- Monitoring server performance metrics
- Troubleshooting performance bottlenecks
- Accessing the Login Interface
- Checking Server Status
- Restarting the Server
- Configuring SSL
- Verifying Current Username and Password
- Backup Creation and Restoration
- Starting and Stopping TSM
- Server Status Inquiry
Microsoft Certified Trainer - 1 Million+ Students
Experienced Tableau specialist adept at
converting business requirements into
impactful visualizations. Skilled in Tableau Server administration,
performance optimization, and report publishing. Proficient in SQL queries
across MySQL, SQL Server, and Oracle. Expertise in creating Data Lakes to
centralize offline data management. Strong ability to define data flows and
templates in Excel and MySQL environments. Knowledgeable in implementing
user filters for row-level security (RLS) and proposing suitable
visualization views aligned with KPIs. Proficient in Tableau features like
LOD, Parameter, Sets, and Actions. Experienced in end-to-end automation of
data and dashboard processes. Well-versed in training team members on new
technologies and BI tools. Expertise in converting excel-based reports to BI
visualizations and writing VBA Macros/Python Script for data preparation.
Analyzes data requirements and designs visualization solutions to meet
client needs. Skilled in data analysis and preparing ad-hoc reports.
Additionally, proficient in Python for data manipulation and analysis,
including feature engineering, data mapping, data cleaning, and aggregation.
Skilled in creating online platforms using Python, HTML/CSS, and JQuery for
data file management with LDAP Authentication. Experienced in Exploratory
Data Analysis (EDA) and assisting team members with machine learning
algorithms for predictions. Utilized Python libraries such as Pandas, NumPy,
Sci-Kit, Scikit-learn, OpenPyXL, and ldap3.
Retail (Apparels/Food Chain/FMCG/Footwear), E-Commerce, NBFC, Electric Vehicle (EV) Industry, Manufacturing.
The highest educational qualifications include a Master of Computer Application (MCA) and a Master's degree in English Literature (MA).
This was my first time taking an online course. The content is excellent, and the instructors are also excellent. How much you learn from this course is pretty much what you put into it.
This was my first time taking an online course. The content is excellent, and the instructors are also excellent. How much you learn from this course is pretty much what you put into it.
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