Introduction To Microstrategy Dossier Creation

Learn how to create rich dossiers (analytical dashboards) within minutes and become job ready

What you'll learn

Microstrategy Dossier creation

Importing data in Microstrategy Dossier

Clean and Transform data

Creating Attributes and Metrics

Adding Filters (Page level and Global)

Adding Links, text and images

Visualizations (Grid, Bar chart, Line chart, Bubble chart, Heat map, Map, Quill editor, etc.)

Formatting Visuals

Requirements

Download Microstrategy desktop software from microstrategy website

Description

Are you a student who wants to learn to quickly visualize data to find insights or a business/financial/data analyst/non techie who wants to learn a new data visualization tool that can generate quick analytical reports and dashboards for your data, This is the right course for you.This beginner course will help you in learning on how to create a dossier (analytical dashboard) in Microstrategy desktop/web and will prepare you to become a Microstrategy Analyst within your organization.  After taking this course, you will feel comfortable in creating beautiful and rich dossiers (analytical dashboards) within minutes. you will also be able to analyze, transform and clean the data within Microstrategy.Microstrategy supports a wide range of data sources that you can ingest / integrate and visualize (Excel, csv, twitter, google drive, dropbox, facebook, survey monkey, Microsoft access, Amazon S3, SAP, SQL, Salesforce, hive, etc.) No coding experience required.

Overview

Section 1: Microstrategy Dossier creation

Lecture 1 Introduction

Lecture 2 Create a blank Dossier

Lecture 3 Import data in the Dossier

Lecture 4 Data Wrangling: Clean and Transform the data

Lecture 5 Create Attributes and Metrics

Lecture 6 Add pages, navigation links, text and static images

Lecture 7 Create Filters (Page level and Global)

Lecture 8 Create Visualizations

Lecture 9 Format Visuals

Beginner Microstrategy developers curious about data visualization,Data analysts,Business and IT students who want to work with data,Anyone who wants to become a business analyst or data visualization analyst