To enable the managers to understand how different apps and applications are conceived, built, implemented and scaled.
- Creating your own sheets, dashboards and stories.
- Visualize the structured and textual data with the help of charts.
- Few machine learning capabilities like linear regression and forecasting.
- Anyone aspiring to be a data/reporting analyst, with little or no formal knowledge in programming.
- Professionals who work with data in excel and want to use some automated way of creating the dashboards.
- Participants will need to have access to a laptop/PC.
- A logical bent of mind
Key Features
Live Coaching
12 hours instructor-led, live interactive training.
Continuous Assessment
Post course evaluation assignment.
Industry Project
1 Industry-led Live Project
Constant Learner Support
Digital office hours + teaching assistant + lifetime recording access on LMS.
Alumni Status
Industry event invitations + student network access
Career Enhancement
1 session for resume building and interview tips
Meet Your Course Faculty
Mr. Sunil Bidwalkar
VP Technology, Xoriant
Sunil Bidwalkar is a seasoned software professional with strong passion for technology. He has more than three decades of experience with reputed organizations in the areas of Product engineering, Consulting, Large scale outsourcing and Banking & Finance. Notwithstanding his acumen in entire gamut of roles e.g. technical, managerial, practice building and architecture, he has always managed to keep himself actively engaged in the core engineering aspects like Solution design and Solution architecture.
Session-Wise Course Curriculum
- Basics of technology (Key terms – what is infra, application, data, etc)
- Tech landscape in summary
- Components of technology
- Commonly used Jargons
- What is a Software Development Life Cycle?
- What are the different types of softwares?
- What are the different processes of software development?
- What are the common software development languages?
- What is an ERP?
- What are the different architecture frameworks for application development?
- What is Monolithic Architecture? How is it different from current age architecture?
- What is Microservices Architecture? What benefits does it provide?
This module covers the advance part of Formatting Tableau Visualization like:
- Creating a calculated field
- Adding totals and subtotals to a cross-tab
- Creating a heat map
- Creating a box-and-whisker plot
- Changing the summary operation
- Changing the visual summary type
- Changing the appearance of your data
- Resizing a visualization
- Displaying a visualization in Presentation mode
After gathering knowledge about Formatting in Tableau, we will be looking forward to various concepts of Dashboards and Stories like:
- Getting Started with Dashboards and Stories
- Building Dashboards
- Formatting Dashboards and layouts
- Dashboard interactivity using action
- Implementing Dashboards
- Creating Stories
This module covers the concept of Mapping in Tableau. We will study different types of Maps used according to the given data for Analysis. The topics to be covered are as following:
- Creating a basic map
- Setting map options
- Advance Mapping in Tableau
- Custom Geocoding
- Polygon Maps
- Adding Background images
This module covers the concepts of calculations in Tableau. You will get familiar with the various computational concepts in this module including, Calculation Syntax, Date Calculations, Number Calculations, Aggregation Calculations, String Calculations, Calculations, Type Calculations, Logic Calculations, Understanding pill Types, Parameters and Conceptualizing LOD Expressions. We will also cover:
- Computations
- Introduction to LOD Expressions
- Modifying Table Calculations
- Aggregation and Replication with LOD Expressions
- Nested LOD Expressions
- Aggregation, Granularity and Ratio Calculations
- Fixing "Incorrect" sorts with INDEX()
This Module will impart knowledge on how to integrate Tableau with R and Hadoop, and how we can use R with Tableau for Data Analysis. Topics we are going to cover:
- Connecting Tableau with R.
- Using R within Tableau
- Connecting Tableau with Hadoop
This module will cover all the advance charts which we can build in Tableau like word cloud,tree map, Histograms and the concepts cleaning the data having Re-aliasing. Further, we will cover:
- Pareto charts
- Waterfall chart
- Bump chart
- Funnel chart
- Bollinger Bands
- Benford's Law
This module will cover all the advance charts which we can build in Tableau like word cloud,tree map, Histograms and the concepts cleaning the data having Re-aliasing. Further, we will cover:
- Pareto charts
- Waterfall chart
- Bump chart
- Funnel chart
- Bollinger Bands
- Benford's Law
This module will cover all the advance charts which we can build in Tableau like word cloud,tree map, Histograms and the concepts cleaning the data having Re-aliasing. Further, we will cover:
- Pareto charts
- Waterfall chart
- Bump chart
- Funnel chart
- Bollinger Bands
- Benford's Law
This module will cover all the advance charts which we can build in Tableau like word cloud,tree map, Histograms and the concepts cleaning the data having Re-aliasing. Further, we will cover:
- Pareto charts
- Waterfall chart
- Bump chart
- Funnel chart
- Bollinger Bands
- Benford's Law
MDAE Alumi Track Record!
MDAE alumni working in diverse roles across leading companies.
Arushi Mishra
Data Consultant
Vallari Naik
Trainee Decision Scientist
Pooja Joshi
Senior Research Analyst
Nishitha Mehta
Risk Analyst
Swati Shrimali
Business Analyst
Ujas Shah
Research Analyst
