Get an Introduction to the Tableau Data Visualization Tool and learn to perform Advanced Visual Analytics through hands-on case study practice and completing project-based training.
Get trained by alumnus from the University of Cologne, Germany
The instructor for this course is Arun. He completed his M.Sc, MBA in Germany and is currently associated with Ed-Tech startups in India with functional roles in product development in the Data Science domain and ERP systems.
In every session, each concept is illustrated with its application in the real-world case studies.
In every session students practice hands-on exercises along with the instructor on the same data sets.
Projects with Real-World Data-Sets
Each student will undertake projects and homework assignments with a workload of approximately 50 hours, with data sets collected from organizations such as Amazon, Walmart, Kaggle , public research organizations and NGO´s. Working on these data-sets will help students cement concepts they have practiced in class and apply them solving real-world cases driving relebant insights.
Students are divided into study groups of 8-10 where students from the same cities are put in the same group. This enables them to solve problems in teams, just like the way it works in the real world. After all, Data Scientists often work on projects in a team. We also have discussion forums, where students can post their queries and have discussions with the other enrolled students.
Complete Study Material
We provide our students with a host of materials all throughout the course. Before each class, many pre-reads, videos and installation guides are given to make the student well-equipped for the class. After every session, assignments are given to test how effectively they have understood the concepts taught. Apart from this, students also get access to the class recordings, a host of knowledge repositories, cheat sheets, PowerPoint presentations, and solutions to frequently asked queries.
Interact with Industry Experts
Industry immersion sessions enable students to interact with Big Data Analytics practitioners from top companies like Twitter, Facebook, Vodafone, Barclays, PwC, Zomato, etc. to make them understand how their organizations use Big Data & Data Science.
Dedicated Student Support
We provide personal assistance and technical support to our students beyond class hours. Our student support team consists of experienced research associates with vast technical knowledge in Data Science and Big Data. They help the students in solving their course-related queries & guiding them through projects.
- Next batch start date: March 25th
- Schedule: Sat, Sun (8:00 AM-10:00 AM IST)
- Duration: 3 weeks
- Mode: Online
- Certification of Completion: Yes
- Certification: Subject to clearing exam
Module 1: Introduction to Tableau 0/7
- 1.1 Introduction to Tableau & other visualization programs
- 1.2 Introduction to Tableau Interface in detail
- 1.3 Loading data files in Tableau
- 1.4 Case study exercise 1 – Creating first visualizations in Tableau
- 1.5 Case study exercise 2
- 1.6 Case study exercise 3
- 1.7 Home Work assignment
Module 2: Visualization in Tableau 0/8
- 2.1 Introduction to Graphs – Bar Graph and Line Graph
- 2.2 Case study exercises- Bar and Line graphs
- 2.3 Introduction to Histogram and scatter plot
- 2.4 Introduction to Graphs – Heat Maps
- 2.5 Case study exercises- Working with Heat Maps
- 2.6 Introduction to Graphs – Map Views and Bubble Graphs
- 2.7 Case study exercises- Working with Map Views
- 2.8 Homework assignment
Module 3: Tableau- Analytics Concepts-I 0/7
- 3.1 Homework review
- 3.2 Case study exercises- Applying filters & creating visualizations
- 3.3 Introduction to Calculated fields
- 3.4 Case study Exercises- Working with Calculated fields
- 3.5 Introduction to Dates and Time concepts
- 3.6 Case study Exercises- Working with Dates and Time
- 3.7 Homework assignment
Module 4: Tableau- Analytics Concepts-II 0/6
- 4.1 Homework review
- 4.2 Sorting Concepts
- 4.3 Creating Groups
- 4.4 Creating Parameters
- 4.5 Case study Exercises
- 4.6 Homework assignment
Module 5: Tableau – Visual Analytics in Application 0/3
- 5.1 Homework review
- 5.2 Capstone Case study – Defining & Solving Objectives
- 5.3 Introduction to Story Line
Module 6: Tableau – Capstone Project 0/2
- 6.1 Capstone Review
- 6.2 Final review of concepts
Arun is the instructor for Tableau and is involved in product development at UpX Academy. An MS from the University of Cologne, he has completed his MBA at the Darmstadt University in Germany. Arun has experience in cancer research and also does management consulting. With his love for Analytics, Arun wants to help students make beautiful visualizations on Tableau. He can be reached out at firstname.lastname@example.org
Where do the classes take place?
All the courses are instructor-led and take place online. The online interface lets you and the faculty have a two-way interaction. It’s as good as sitting in a physical classroom.
What’s the benefit of taking online instructor-led courses?
In physical classrooms, students generally feel hesitant to ask questions. If you miss any class or didn’t understand some concepts, you can’t go through the class again. However, in online courses, it’s possible to do that. We share the recordings of all our classes after each class with the student. Also, there’s no hassle of long distance commuting and disrupting your schedule.
Who will be the instructor?
We have some of the top-most faculty for Big Data & Data Science. A typical instructor at UpX Academy, brings with him several years of industrial experience in Big Data and Data Science and comes from prestigious school like ISB, IITs, LBS, etc. You can register for one of our free events to interact with our faculty or also attend a trial class.
When will the classes take place?
All classes take place over the weekends in the mornings. There’ll be one class of 2 to 2.5 hours on Saturdays and Sundays each. This means that you can now acquire in-demand skills without compromising on your schedule.
Do you provide any projects?
Absolutely! We believe that unless you implement the concepts studied in the classes, you are unable to join the dots and hence can’t see the entire picture. Projects let you apply the learned concepts to real-world data sets. We give a number of hands-on exercises, mini case studies and full-blown projects that aid you in doing so.
What kind of projects will I be working on?
You’ll be working on real-time data-sets (which can run in 100s of MBs or possibly in GBs!) which you get to choose from a variety of domains such as retail, finance, social media, healthcare, etc. These data-sets have been curated from top sources such as World Bank, US Health Department, Carnegie Mellon, Stanford and many more.
Where & how will I practice?
You’ll get access to our virtual computing lab through the login credentials provided to you. The virtual machines will enable you to work on “Big Data” sets for your projects and practice hands-on too.
Do I get a certificate of completion or certification?
We provide certification of completion to students who attend at least 70% of the classes. After the course ends, we conduct a certification exam that evaluates them on the skills they have learnt. Certification of Excellence is provided to only those who clear the exam. The exam is purely case-based and not even a single theory question is asked.
Do you provide career assistance?
We provide career workshops and industry immersion sessions to help you become ready for roles you are aspiring for. We also help you in resume review and interview preparation. If you diligently follow our advice, you should start getting interview calls as soon as you finish the course.
Who is the target audience?
Individuals who have a profound inclination for solving business problems by making data-driven decisions.
Can I watch the recordings of the trial sessions before enrolling?
Yes, the recordings of the trial classes are uploaded. Click here to watch a demo class.