BUSINESS ANALYTICS + TABLEAU ADVANCED TRAINING IN BANGALORE
Advanced analytics is a critical component of modern business intelligence.How Tableau’s advanced analytics features address the most common analytical challenges for people of all skill levels. Real-world examples of advanced analysis in Tableau including segmentation, predictive analysis, calculations, and more.
- Join Our Live Online Classes
Google Reviews
JustDial Reviews
Why Radical Technologies
Live Online Training
Live Classroom Training
Self Paced Training
Live Online Training
Live Classroom Training
Self Test Training
Why enroll Redhat Linux
Why enroll for LINUX RHEL 8 course ?
Course Benefits
Duration of Training : 60 hrs
Batch type : weekdays /weekends/ Customized Batches
Mode of Training: Offline / Online / Corporate Training
Projects Given : 2 Projects minimum
Trainer Profile : Experienced Faculty from IT Industry
Projects | Assignment | Scenarios and Used Case Studies.
Designations
- ALL COMBO COURSES
- PROGRAMMING COURSES
- NON PROGRAMMING COURSES
Want to become Engineer?
Want to become Engineer?
Want to become Engineer?
WhyTerraform ?
Multi-Cloud Support
Declarative Configuration
Resource Graph
Modularity and Reusability
State Management
Plan and Apply Workflow
Extensibility
About your Terraform Certification Course
Terraform Skills Covered
-
State Management
-
Terraform Modules
-
Dependency Management
-
Terraform CLI
-
Terraform Configuration Language (HCL)
-
Infrastructure as Code (IaC) Principles
-
Resource Provisioning
-
Terraform Providers
-
Terraform Workspaces
-
Terraform Best Practices
Curriculum Designed by Experts
Business Analytics + Tableau Advanced Course Syllabus
- Why Tableau? Why Visualization?
- The Tableau Product Line
- Level Setting – Terminology
- Getting Started – creating some powerful visualizations quickly
- Review of some Key Fundamental Concepts
Filtering, Sorting and Grouping are fundamental conceptswhen 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
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
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
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
Advanced Table Calculations
- Understanding Scope and Direction
- Calculate on Results of Table Calculations
- Complex Calculations
- Difference From Average
- Discrete Aggregations
- Index to Ratios
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
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
- Formatting Tips
- Drag to Legend
- Edit Legend
- Highlighting
- Labeling
- Legends
- Working with Nulls
- Table Options
- Annotations and Display Options
- Introduction to Visualization Best Practices
Free Career Counselling
+91 8882400500
Global Certification
- Exam & Certification
Terraform Course Projects in Seattle
Multi-Cloud
Deployment
Highly Available Web Application
Infrastructure Governance and Compliance
Container Orchestration with Kubernetes
Infrastructure Monitoring and Logging
Disaster Recovery (DR) Setup
Microservices Architecture
Serverless Architecture
Hybrid Cloud Deployment
Continuous Integration and Delivery (CI/CD) Pipelines
Get Experience Of 4+ Years
- Projects
- Real Time Protection
- Assignments
-
Solution for BigData Problem
-
Open Source Technology
-
Based on open source platforms
-
Contains several tool for entire ETL data processing Framework
-
It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.
-
Solution for BigData Problem
-
Open Source Technology
-
Based on open source platforms
-
Contains several tool for entire ETL data processing Framework
-
It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.
-
Solution for BigData Problem
-
Open Source Technology
-
Based on open source platforms
-
Contains several tool for entire ETL data processing Framework
-
It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.
Redhat Linux Certification Course reviews
A small river named Duden flows by their place and supplies it with the necessary regelialia. It is a paradisematic country, in which river named Duden flows by their place and supplies it with the necessary
Redhat Linux System Administration - Roles and Responsibilities
1. Basic user account management (creating, modifying, and deleting users).
2. Password resets and account unlocks.
3. Basic file system navigation and management (creating, deleting, and modifying files and directories).
4. Basic troubleshooting of network connectivity issues.
5. Basic software installation and package management (installing and updating software packages).
6. Viewing system logs and checking for errors or warnings.
7. Running basic system health checks (CPU, memory, disk space).
8. Restarting services or daemons.
9. Monitoring system performance using basic tools (top, df, free).
10. Running basic commands to gather system information (uname, hostname, ifconfig).
1. Intermediate user account management (setting permissions, managing groups).
2. Configuring network interfaces and troubleshooting network connectivity issues.
3. Managing file system permissions and access control lists (ACLs).
4. Performing backups and restores of files and directories.
5. Installing and configuring system monitoring tools (Nagios, Zabbix).
6. Analyzing system logs for troubleshooting purposes.
7. Configuring and managing software repositories.
8. Configuring and managing system services (systemd, init.d).
9. Performing system updates and patch management.
10. Monitoring and managing system resources (CPU, memory, disk I/O).
1. Advanced user account management (LDAP integration, single sign-on).
2. Configuring and managing network services (DNS, DHCP, LDAP).
3. Configuring and managing storage solutions (RAID, LVM, NFS).
4. Implementing and managing security policies (firewall rules, SELinux).
5. Implementing and managing system backups and disaster recovery plans.
6. Configuring and managing virtualization platforms (KVM, VMware).
7. Performance tuning and optimization of system resources.
8. Implementing and managing high availability solutions (clustering, load balancing).
9. Automating system administration tasks using scripting (Bash, Python).
10. Managing system configurations using configuration management tools (Ansible, Puppet).
1. Learning basic shell scripting for automation tasks. 2. Understanding file system permissions and ownership. 3. Learning basic networking concepts (IP addressing, routing). 4. Learning how to use package management tools effectively. 5. Familiarizing with common Linux commands and utilities. 6. Understanding basic system architecture and components. 7. Learning basic troubleshooting techniques and methodologies. 8. Familiarizing with basic security principles and best practices. 9. Learning how to interpret system logs and diagnostic output. 10. Understanding the role and importance of system backups and restores.
1. Advanced scripting and automation techniques (error handling, loops).
2. Understanding advanced networking concepts (VLANs, subnetting).
3. Familiarizing with advanced storage technologies (SAN, NAS).
4. Learning advanced security concepts and techniques (encryption, PKI).
5. Understanding advanced system performance tuning techniques.
6. Learning advanced troubleshooting methodologies (root cause analysis).
7. Implementing and managing virtualization and cloud technologies.
8. Configuring and managing advanced network services (VPN, IDS/IPS).
9. Implementing and managing containerization technologies (Docker, Kubernetes).
10. Understanding enterprise-level IT governance and compliance requirements.
1. Designing and implementing complex IT infrastructure solutions. 2. Architecting and implementing highly available and scalable systems. 3. Developing and implementing disaster recovery and business continuity plans. 4. Conducting security audits and vulnerability assessments. 5. Implementing and managing advanced monitoring and alerting systems. 6. Developing custom automation solutions tailored to specific business needs. 7. Providing leadership and mentorship to junior team members. 8. Collaborating with other IT teams on cross-functional projects. 9. Evaluating new technologies and making recommendations for adoption. 10. Participating in industry conferences, workshops, and training programs.
Find This Certification Training Course in other cities
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Abu Dhabi
Are You Not Waiting For Placement After Your Course Completion
Register for Next placement Drive
Completed, Came from Any other Institute OR Online Helf
- Join our Brushup Session out Support until You find Job
Get Experience Of 4+ Years
- Projects
- Real Time Protection
- Assignments
-
Solution for BigData Problem
-
Open Source Technology
-
Based on open source platforms
-
Contains several tool for entire ETL data processing Framework
-
It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.
-
Solution for BigData Problem
-
Open Source Technology
-
Based on open source platforms
-
Contains several tool for entire ETL data processing Framework
-
It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.
-
Solution for BigData Problem
-
Open Source Technology
-
Based on open source platforms
-
Contains several tool for entire ETL data processing Framework
-
It can process Distributed data and no need to store entire data in centralized storage as it is required for SQL based tools.