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PROGRAMS
- Enterprise Training
- India
PROGRAMS
Self-paced learning
Learn the fundamentals of Tableau & its use cases
Understand the different ways to visualize data
Learn to sort and read data to derive actionable insights
Learn how to filter, group and generate fields in Tableau
Understanding Tableau, Data Visualization, Data Relationships & Sorting, Server Architecture and more
Useful in multiple professional roles in Data Analysis, Data Science, Business Intelligence and more
This program is open to all who have an interest in data analysis and visualization
No minimum eligibility required
Introduction
What is Tableau
Use Cases of Tableau
Who Uses Tableau
Tableau Product Suite
Tableau Desktop
Tableau Public
Tableau Server
Tableau Online
Tableau Reader
Server Architecture
Layer 1 - Data Server
Layer 2 - Data Connector
Layer 3 - Components
Layer 4 - Gateway
Layer 5 - Clients
Choose Your Tableau
Installing Tableau Public
Installing Tableau Desktop
Navigation Overview of Tableau Desktop
Connection To Data Sources
Data Relationships
Data Sorting
Filters in Tableau
Groups in Tableau
Generated Fields in Tableau
Visualizations in Tableau
Bar Charts
Line Charts
Pie Charts
Bubble Charts
Heat Maps
Scatter Plot
Histogram
Become industry ready and learn the concepts of Java programming, design object-oriented applications with Java and create Java programs using hands-on, engaging activities.
Registration closes - 18th July 2022
Day 1 project ready
Be job-ready! Earn a min. CTC of ₹8LPA with this placement-assured program*
Registration closes - 18th July 2022
Placement Assured Program*
Be job-ready! Earn a min. CTC of ₹10LPA with this placement-assured program*
22 Weeks
Placement Assured Program*
Become a StackRoute Certified Salesforce Engineer
12 weeks
Placement Assistance Program*
Become industry ready and learn the concepts of Java programming, design object-oriented applications with Java and create Java programs using hands-on, engaging activities.
Registration Closes: 11th July 2022
Day 1 project ready
Using big data analytics, organizations can capture, manage, and analyze massive amounts of disparate data to generate insights and make decisions that create a competitive advantage.
As voluminous data has emerged, it has impacted industries and businesses and the authorities that oversee them.
Data analytics involves extracting insights from big datasets. Data science is about how can we model the world— and use models to make predictions.
So today, we are going to use PyCharm, a tool for streamlining the generation of virtually enabled environments
Data Science overlaps and deploys techniques from various fields of which Artificial Intelligence & Machine Learning are a couple. Let us deep-dive into how the three are interconnected, or, different from each other.
Free Career Counselling on 1800 3000 6448