Business Intelligence Specialist Track - Online Learning with Certificate

Business Intelligence Specialist

Intermediate

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3 Learners

A comprehensive, track designed for newcomers to Business Intelligence (BI). This interactive learning journey covers the essential tools and workflow…

132

Chapters

Learning hours

145

Assignments

AI Assistant

Shareable Certificate

Outcomes

Track content

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Outcomes

Track content

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What you will learn

Understand the core concepts and workflow of Business Intelligence.

Create interactive dashboards and visualizations in Tableau.

Develop practical skills through hands-on, project-based learning.

Clean, analyze, and visualize business data using Python.

Integrate Python, SQL, and Tableau or Power BI in a complete BI project.

Query, filter, and aggregate business data with SQL.

Present business insights effectively to stakeholders.

Learning track content

What is Business Intelligence?

The BI Lifecycle

Data Warehousing and ETL

Data Visualization in BI

BI Tools and Platforms

The Future of Business Intelligence

Understanding Business Data Structures

Data Cleaning Essentials

Challenge: Clean Sales Data

Summarizing Business Data

Challenge: Summarize Product Performance

Filtering and Sorting Business Data

Challenge: Identify Top Products

Introduction to Business Data Visualization

Customizing Visualizations for Business

Challenge: Visualize Sales Performance

Time Series Visualization for Business Trends

Challenge: Plot Monthly Sales Trend

Comparing Business Metrics with Multiple Charts

Challenge: Compare Sales and Profit

Automating Repetitive Calculations

Generating Automated Business Reports

Challenge: Generate Product Summary Report

Automating Data Extraction and Transformation

Challenge: Extract High-Value Sales

Scheduling and Automating Business Workflows

Challenge: Automate Regional Sales Analysis

Retrieving Individual Columns

Retrieving Multiple Columns

Retrieving All Columns

Retrieving Distinct Rows

Limiting Results

Challenge: Find the Population of the Countries

Challenge: Find All Countries

Challenge: Find All Countries With Their IDs

Challenge: Find Country Capitals

Challenge: Find the Regions in Which All Countries Are Located

Sorting Data

Challenge: Population Sort

Sorting by Multiple Columns

Challenge: Dual-Sort Query

Specifying Sort Direction

Challenge: Sort the Countries by Region and Capital

Challenge: Sort Capitals in Descending Order

Challenge: Sort Countries in Ascending Order

Challenge: Find Countries, Their IDs, and Their Populations

Challenge: Find Countries, IDs, Populations, Regions, and Sort Them

Challenge: Find All Continents and Sort Them in Ascending Order

Using the WHERE Clause

Challenge: North America Population Sort

The WHERE Clause Operators

Challenge: Population Threshold Query

Checking for a Range of Values

Checking for NO Value

Using the AND Operator

Challenge: Europe Region Sort

Using the OR Operator

Challenge: America Regions Filter

Using the NOT Operator

Challenge: Non-Europe Capitals Sort

The AVG() Function

Challenge: Surface Area Selection

The COUNT() Function

Challenge: Continental Count

The MAX() Function

The MIN() Function

Challenge: Large Surface Area Average

The SUM() Function

Tableau Installation

First Steps

Field Operations and Joins

Challenge: Joining Tables and Splitting Columns

Exploring the Data Pane

Challenge: Identifying Top Performers by Profit

Pages, Filters, and Marks Overview

Challenge: Finding the Sub-Category with the Lowest Sales

Dimensions and Measures

Challenge: Comparing Sales and Profit by State

Continuous and Discrete Fields

Challenge: Identifying the Month with Lowest Sales

Dimension Filters

Measure Filters

Challenge: Finding the Most Profitable Customer in Art

Calculated Fields

Challenge: Comparing California and New York to Other States

Interactive Dashboards with Parameters

Challenge: Finding the Sub-Category with the Most Sales

Working with Sets

Challenge: Analyzing Bookcase Profit Concentration

Sets Applications

Visualizing Data with Heatmaps

Challenge: Identifying Top-Selling Sub-Category by Region

Scatter Plots

Challenge: Determining the Highest Sales and Profit by State

Treemaps

Challenge: Analyzing the Least Profitable Sub-Category

Combination Charts

Challenge: Comparing Sales and Profit Trends for Phones

Sparklines

Bullet Graphs

Challenge: Analyzing Profit Changes Between 2016 and 2017

Stacked Area Charts

Challenge: Identifying the Region with the Highest Profit

Histograms

Box Plots

What is Power BI?

Installation and Setup

Overview of Power BI

Connecting to Data Sources

Basics of Power Query

Creating Your First Report

Data Cleaning and Transformation

Data Profiling and Exploration

Handling Missing Values

Creating Columns

Handling Multiple Data Sources

Appending and Merging Data

Pivoting Data

Introduction to Data Models

Creating Relationships

DAX (Data Analysis Expressions) Basics

Measures, Quick Measures, and Calculated Columns

Creating Visualizations

Map and Tool Tips

Slicers and Filters

Drilldown and Hierarchies

Using Themes

Configuring Report Page

Using Shapes and Buttons

Creating Groups and Bins

Analyzing Features

Finding Anomalies

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