Data Visualizations is very popular for data visualization. It has huge demand currently where data can be presented for better decision-making in organizations.
Data Visualizations is very popular for data visualization. It has huge demand currently where data can be presented for better decision-making in organizations.
Sessions 1 and 2
Introduction with students and then to analytics, different BI tools, and why Tableau.
Also prepping the system of students, like installing software needed, getting ready, etc. (4 Hours)
Sessions 3 and 4
Connecting and prepping with data and getting familiar with the UI of Tableau products, primarily focusing on Tableau Desktop and how to connect it with different sources like Excel, etc., with a touch of how it is being used in industry. (4 Hours)
Session 5 and 6
Getting started with Tableau: Covering core concepts of Tableau like
Dimension vs Measures, Discrete vs. Continuous, Aggregation in Tableau, Extract vs Live Functionality, etc.
It will be taught via practical examples and a PPT. (4 Hours)
Sessions 7 and 8
Now that we are familiar with Tableau's core concepts, let's hop into making different types of charts.
A chart is made when, in use cases, Tableau has inbuilt charts like bar charts, stack bar charts, line charts, dual axis charts, etc., and some out-of-the-box charts that are not directly supported in Tableau. Touch base upon Maps in Tableau as well (4 Hours)
Sessions 9 and 10
Meta data, data types in tableau, joins, blends, file types of Tableau Desktop, calculations, basically the data source field of Tableau (4 Hours)
Sessions 11 and 12
Filters in Tableau, LOD`s. date calculations, aggregation functions, date functions, etc. This will be the technical part of Tableau, where making calculations will be covered according to the business requirements. (4 Hours)
Sessions 13 and 14
This will be the continuation of calculations and also the Sets, Parameters, and Analytics pane-like reference line; the constant line will be covered, and we will also start making the dashboard out of the sheets that we have used. Dashboarding tricks, formatting, and best practices will be covered in this session, as well as a recap of everything that we covered previously. (4 Hours)
Sessions 15 and 16
Continuation of dashboard-like layout, how to place the sheets, implementing interactivity by actions in Tableau.
The storyboard will also be covered here, and it will mark the end of the course.
A fully-fledged Tableau dashboard will be covered here. Focus on Tableau Public profile building as well and the importance of it while going out in the industry for jobs.
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Objectives
To offer training based on real-time project learning
To engage students in technical and soft skills learning
To assist students in determining the career path best suited for them
Certificate Courses (In-Class)
In-person courses provide students with the opportunity to interact with their classmates and instructors in real-time.
Classroom learning promotes collaboration and teamwork among students..
Allow students to receive immediate feedback from their instructors and peers.
In-person courses often involve hands-on learning experiences such as laboratory work, fieldwork, or simulations. This can help students better understand and apply theoretical concepts.
Classroom learning provides students with the opportunity to meet and network with their classmates and instructors.
In-person courses often have a set schedule and attendance policy, which can help students develop discipline and time management skills.
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Since we opened our doors, the Institute of IT Training (IOFIT) has trained and supported over 2000 professionals who have found great opportunities across Canada.
Our students succeed because we offer flexible classroom and online training options, connecting students live face-to-face for every session using the latest web presentation technologies, mock interviews (technical and behavioral), resume writing guidance, LinkedIn profile setup, placement assistance, and work references for IT jobs.
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This course is a survey of big data – the landscape, the technology behind it, business drivers and strategic possibilities. “Big data” is a hot buzzword, but most organizations are struggling to put it to practical use.
If you are looking for a quick way to become a data analyst, look no further. This program will provide you with the skills and hands-on training you need to start a rewarding career in the data analytics industry.
This is a knowledge-packed professional learning experience that includes a cutting-edge curriculum, real business projects and case studies, and tech-enabled education. Our training goes a long way towards helping you unlock lucrative career opportunities in the coveted fields of data analytics.
Demand for data analysis and visualization skills are rapidly increasing across all industries. Boost your career with our range of courses covering IBM SPSS, Excel and more.
Our Data Analytics Course is designed to give you the practical skills you need to succeed in today's data-driven world. You’ll learn how to visualize data with Tableau, analyze data with Python, and query data with SQL.
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