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The Business Intelligence Analyst Course 2024 

  • Offered byUDEMY

The Business Intelligence Analyst Course 2024
 at 
UDEMY 
Overview

Mastering Data Analysis for Strategic Insights in 2024

Duration

23 hours

Total fee

599

Mode of learning

Online

Difficulty level

Intermediate

Official Website

Go to Website External Link Icon

Credential

Certificate

The Business Intelligence Analyst Course 2024
 at 
UDEMY 
Highlights

  • Earn a Cerificate on successful completion
  • Get Full Lifetime Access
  • Compatible on Mobile and TV
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The Business Intelligence Analyst Course 2024
 at 
UDEMY 
Course details

Who should do this course?
  • Beginners to programming and data science
  • Students eager to learn about job opportunities in the field of data science
  • Candidates willing to boost their resume by learning how to combine the knowledge of Statistics, SQL, and Tableau in a real-world working environment
  • SQL Programmers who want to develop business reasoning and apply their knowledge to the solution of various business tasks
  • People interested in a Business Intelligence Analyst career
What are the course deliverables?
  • Become an expert in Statistics, SQL, Tableau, and problem solving
  • Boost your resume with in-demand skills
  • Gather, organize, analyze and visualize data
  • Use data for improved business decision-making
  • Present information in the form of metrics, KPIs, reports, and dashboards
  • Perform quantitative and qualitative business analysis
  • Analyze current and historical data
  • Discover how to find trends, market conditions, and research competitor positioning
  • Understand the fundamentals of database theory
  • Use SQL to create, design, and manipulate SQL databases
  • Extract data from a database writing your own queries
  • Create powerful professional visualizations in Tableau
  • Combine SQL and Tableau to visualize data from the source
  • Solve real-world business analysis tasks in SQL and Tableau
Read more
More about this course

The Business Intelligence Analyst Course 2024 is a specialized program designed to equip participants with the skills and knowledge essential for a successful career in business intelligence (BI) analysis.

This course covers a comprehensive range of topics essential for understanding and leveraging data to drive strategic business decisions.

Throughout the course, participants will explore advanced techniques for data analysis and interpretation.

This includes using BI tools and platforms to create interactive dashboards and reports that provide valuable insights to stakeholders.

Emphasis is placed on understanding key performance indicators (KPIs), conducting trend analysis, and forecasting based on historical data.

 

The Business Intelligence Analyst Course 2024
 at 
UDEMY 
Curriculum

Part 1: Introduction

What Does the Course CoverIntro to Data and Data Science - The Different Data Science Fields

Why Are There So Many Business and Data Science Buzzwords?

Analysis vs Analytics

Intro to Business Analytics, Data Analytics, and Data Science

Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture

An Overview of our Data Science Infographic

Intro to Data and Data Science - The Relationship between Different Fields

When are Traditional data, Big Data, BI, Traditional Data Science and ML applied

Intro to Data and Data Science - What is the Purpose of each Data Science Field

Why do we Need each of these Disciplines?

Intro to Data and Data Science - Common Data Science Techniques

Traditional Data: Techniques

Traditional Data: Real-life Examples

Big Data: Techniques

Big Data: Real-life Examples

Business Intelligence (BI): Techniques

Business Intelligence (BI): Real-life Examples

Traditional Methods: Techniques

Traditional Methods: Real-life Examples

Machine Learning (ML): Techniques

Machine Learning (ML): Types of Machine Learning

Machine Learning (ML): Real-life Examples

Intro to Data and Data Science - Common Data Science Tools

Programming Languages & Software Employed in Data Science - All the Tools Needed

Intro to Data and Data Science - Data Science Career Paths

Data Science Job Positions: What do they Involve and What to Look out for?

Intro to Data and Data Science - Dispelling Common Misconceptions

Dispelling common Misconceptions

Part 2: Statistics - Population and Sample

Population vs sample

Statistics - Descriptive Statistics

Types of Data

Levels of Measurement

Categorical Variables - Visualization Techniques

Categorical Variables Exercise

Numerical Variables - Frequency Distribution Table

Numerical Variables Exercise

The Histogram

Histogram Exercise

Cross Table and Scatter Plot

Cross Tables and Scatter Plots Exercise

Mean, median and mode

Mean, Median and Mode Exercise

Skewness

Skewness Exercise

Variance

Variance Exercise

Standard Deviation and Coefficient of Variation

Standard Deviation and Coefficient of Variation Exercise

Covariance

Covariance Exercise

Correlation Coefficient

Correlation Coefficient Exercise

Statistics - Practical Example: Descriptive Statistics

Practical Example

Practical Example Exercise

Statistics - Inferential Statistics Fundamentals

Introduction

What is a Distribution

The Normal Distribution

The Standard Normal Distribution

The Standard Normal Distribution Exercise

Central Limit Theorem

Standard error

Estimators and Estimates

Statistics - Inferential Statistics: Confidence Intervals

What are Confidence Intervals?

Confidence Intervals; Population Variance Known; z-score

Confidence Intervals; Population Variance Known; z-score Exercise

Confidence interval clarifications

Student's T Distribution

Confidence Intervals; Population Variance Unknown; t-score

Confidence Intervals; Population Variance Unknown; t-score Exercise

Margin of Error

Confidence intervals. Two means. Dependent samples

Confidence intervals. Two means. Dependent samples Exercise

Confidence intervals. Two means. Independent samples (Part 1)

Confidence intervals. Two means. Independent samples (Part 1) Exercise

Confidence intervals. Two means. Independent samples (Part 2)

Confidence intervals. Two means. Independent samples (Part 2) Exercise

Confidence intervals. Two means. Independent samples (Part 3)

Statistics - Practical Example: Inferential Statistics

Practical Example: Inferential Statistics

Practical Example: Inferential Statistics Exercise

Statistics - Hypothesis Testing

The Null vs Alternative Hypothesis

Further Reading on Null and Alternative Hypothesis

Rejection Region and Significance Level

Type I Error and Type II Error

Test for the Mean. Population Variance Known

Test for the Mean. Population Variance Known Exercise

p-value

Test for the Mean. Population Variance Unknown

Test for the Mean. Population Variance Unknown Exercise

Test for the Mean. Dependent Samples

Test for the Mean. Dependent Samples Exercise

Test for the mean. Independent samples (Part 1)

Test for the mean. Independent samples (Part 1). Exercise

Test for the mean. Independent samples (Part 2)

Test for the mean. Independent samples (Part 2)

Statistics - Practical Example: Hypothesis Testing

Practical Example: Hypothesis Testing

Practical Example: Hypothesis Testing Exercise

Part 3: Relational Database Theory & Introduction to SQL

Why use SQL?

Why use MySQL?

Introducing Databases

Relational Database Fundamentals

Comparing Databases and Spreadsheets

Important Database Terminology

The Concept of Relational Schemas: Primary Key

The Concept of Relational Schemas: Foreign Key

The Concept of Relational Schemas: Unique Key and Null Values

The Concept of Relational Schemas: Relationships Between Tables

SQL - Install and get to know MySQL

Installing MySQL Workbench and Server

Installing Visual C

Installing MySQL on macOS and Unix systems

The Client-Server Model

Linking GUI with the MySQL Server

Read me!!!

Creating a New User and a New Connection to it

Familiarize Yourself with the MySQL Interface

SQL - Best SQL Practices

Coding Tips and Best Practices - I

Coding Tips and Best Practices - II

SQL - Loading the 'employees' Database

Loading the 'employees' Database

Loading the 'employees' Database

SQL - Practical Application of the SQL SELECT Statement

Using SELECT - FROM

Using SELECT - FROM - Exercise

Using SELECT - FROM - Solution

Using WHERE

Using WHERE - Exercise

Using WHERE - Solution

Using AND

Using AND - Exercise

Using AND - Solution

Using OR

Using OR - Exercise

Using OR - Solution

Operator Precedence and Logical Order

Operator Precedence and Logical Order - Exercise

Operator Precedence and Logical Order - Solution

Using IN - NOT IN

Using IN - NOT IN - Exercise 1

Using IN - NOT IN - Solution 1

Using IN - NOT IN - Exercise 2

Using IN - NOT IN - Solution 2

Using LIKE - NOT LIKE

Using LIKE - NOT LIKE - Exercise

Using LIKE - NOT LIKE - Solution

Using Wildcard Characters

Using Wildcard characters - Exercise

Using Wildcard characters - Solution

Using BETWEEN - AND

Using BETWEEN - AND - Exercise

Using BETWEEN - AND - Solution

Using IS NOT - IS

Using IS NOT - IS - Exercise

Using IS NOT - IS - Solution

Using Other Comparison Operators

Using Other Comparison Operators - Exercise

Using Other Comparison Operators - Solution

Using SELECT DISTINCT

Using SELECT DISTINCT - Exercise

Using SELECT DISTINCT - Solution

Getting to Know Aggregate Functions

Getting to Know Aggregate Functions - Exercise

Getting to Know Aggregate Functions - Solution

Using ORDER BY

Using ORDER BY - Exercise

Using ORDER BY - Solution

Using GROUP BY

Using Aliases (AS)

Using Aliases (AS) - Exercise

Using Aliases (AS) - Solution

Using HAVING

Using HAVING - Exercise

Using HAVING - Solution

Using WHERE vs HAVING - Part I

Using WHERE vs HAVING - Part II

Using WHERE vs HAVING - Part II - Exercise

Using WHERE vs HAVING - Part II - Solution

Using LIMIT

Using LIMIT - Exercise

Using LIMIT - Solution

SQL - Expanding on MySQL Aggregate Functions

Applying COUNT()

Applying COUNT() - Exercise

Applying COUNT() - Solution

Applying SUM()

Applying SUM() - Exercise

Applying SUM() - Solution

MIN() and MAX()

MIN() and MAX() - Exercise

MIN() and MAX() - Solution

Applying AVG()

Applying AVG() - Exercise

Applying AVG() - Solution

Rounding Numbers with ROUND()

Rounding Numbers with ROUND() - Exercise

Rounding Numbers with ROUND() - Solution

SQL - SQL JOINs

What are JOINs?

What are JOINs? - Exercise 1

What are JOINs? - Exercise 2

The Functionality of INNER JOIN - Part I

The Functionality of INNER JOIN - Part II

The Functionality of INNER JOIN - PART II - Exercise

The Functionality of INNER JOIN - PART II - Solution

Extra Info on Using Joins

Duplicate Rows

The Functionality of LEFT JOIN - Part I

The Functionality of LEFT JOIN - Part II

The Functionality of LEFT JOIN - Part II - Exercise

The Functionality of LEFT JOIN - Part II - Solution

The Functionality of RIGHT JOIN

Differences between the New and the Old Join Syntax

Differences between the New and the Old Join Syntax - Exercise

Differences between the New and the Old Join Syntax - Solution

Using JOIN and WHERE Together

Important ????????????????? Prevent Error Code: 1055!

Using JOIN and WHERE Together - Exercise

Using JOIN and WHERE Together - Solution

The Functionality of CROSS JOIN

The Functionality of CROSS JOIN - Exercise 1

The Functionality of CROSS JOIN - Solution 1

The Functionality of CROSS JOIN - Exercise 2

The Functionality of CROSS JOIN - Solution 2

Combining Aggregate Functions with Joins

JOIN More than Two Tables

JOIN More than Two Tables - Exercise

JOIN More than Two Tables - Solution

Top Tips for Joins

Top Tips for Joins - Exercise

Top Tips for Joins - Solution

The Differences Between UNION and UNION ALL

The Differences Between UNION and UNION ALL - Exercise

The Differences Between UNION and UNION ALL - Solution

SQL - SQL Subqueries

SQL Subqueries with IN Embedded Inside WHERE

SQL Subqueries with IN Embedded Inside WHERE - Exercise

SQL Subqueries with IN Embedded Inside WHERE - Solution

SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE

SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE - Exercise

SQL Subqueries with EXISTS-NOT EXISTS Embedded Inside WHERE - Solution

SQL Subqueries Nested in SELECT and FROM

SQL Subqueries Embedded in SELECT and FROM - Exercise 1

SQL Subqueries Embedded in SELECT and FROM - Exercise 2

SQL Subqueries Nested in SELECT and FROM - Solution 2

SQL - Stored Routines

Defining Stored Routines

Create Stored Procedures with MySQL Syntax

An Example of Stored Procedures Part I

An Example of Stored Procedures Part II

An Example of Stored Procedures Part II - Exercise

An Example of Stored Procedures Part II - Solution

Creating a Procedure in MySQL Another Way

Create Stored Procedures with an Input Parameter

Create Stored Procedures with an Output Parameter

Create Stored Procedures with an Output Parameter - Exercise

Stored Procedures with an Output Parameter - Solution

SQL Variables

SQL Variables - Exercise

SQL Variables - Solution

The Benefit of User-Defined Functions in MySQL

Error Code: 1418.

The Benefit of User-Defined Functions in MySQL - Exercise

The Benefit of User-Defined Functions in MySQL - Solution

Concluding Stored Routines

SQL - The CASE Statement

The SQL CASE Statement

The SQL CASE Statement - Exercise 1

THE SQL CASE Statement - Solution 1

THE SQL CASE Statement - Exercise 2

THE SQL CASE Statement - Solution 2

THE SQL CASE Statement - Exercise 3

THE SQL CASE Statement - Solution 3

Part 4: Introduction to Tableau

Why Use Tableau: Make Your Data Make an Impact

Let's Download Tableau Public

Connecting Data in Tableau

Exploring Tableau's Interface

Let's Create our first Chart in Tableau!

Tableau - Tableau functionalities

Duplicating a Sheet

Creating a Table

Creating Custom Fields

Creating a Custom Field and Adding Calculations to a Table

Adding Totals and Subtotals

Adding a Custom Calculation

Inserting a Filter

Working with Joins in Tableau

Tableau - The Tableau Exercise

Introduction to the Exercise

Let's Create a Dashboard - Visualizing the Three Charts We Want to Create

Using Joins in Tableau

Performing a Numbers Check - Attempt #1

Blending Data in Tableau

Performing a Numbers Check - Attempt #2

First Chart

Second Chart

Third Chart

Creating and Formatting a Dashboard

Adding Interactive Filters for Improved Analysis

Interactive Filters - fix

Part 5: Combining SQL and Tableau - Introduction

Introduction to Software Integration

Combining SQL and Tableau

Loading the Database

Loading the Database

Combining SQL and Tableau - Problem 1

Problem 1: Task

Problem 1: Task - Text

Important clarification!

Problem 1: Solution in SQL

Problem 1: Solution in SQL - Code

Exporting Your Output from SQL and Loading it in Tableau

Chart 1: Visualizing the Solution in Tableau - Part I

Chart 1: Visualizing the Solution in Tableau - Part II

Combining SQL and Tableau - Problem 2

Problem 2: Task

Problem 2: Task - Text

Problem 2: Solution in SQL

Problem 2: Solution in SQL - Code

Chart 2: Visualizing the Solution in Tableau

Combining SQL and Tableau - Problem 3

Problem 3: Task

Problem 3: Task - Text

Problem 3: Solution in SQL

Problem 3: Solution in SQL - Code

Chart 3: Visualizing the Solution in Tableau

Combining SQL and Tableau - Problem 4

Problem 4: Task

Problem 4: Task - Text

Problem 4: Solution in SQL

Problem 4: Solution in SQL - Code

Chart 4: Visualizing the Solution in Tableau

Combining SQL and Tableau - Problem 5

Problem 5: Organizing Charts 1-4 into a Beautiful Dashboard

Part 6: Introduction to Programming with Python

A 5-minute explanation of Programming

Why use Python?

Why use Jupyter?

How to Install Python and Jupyter

Understanding Jupyter?????????????????s Interface ????????????????? Dashboard

Understanding Jupyter?????????????????s Interface ????????????????? Prerequisites for Coding

Python 2 vs Python 3

Python - Python Variables and Data Types

Python Variables

Understanding Numbers and Boolean Values

Strings

Python - Python Syntax Fundamentals

The Arithmetic Operators of Python

What is the Double Equality Sign?

How to Reassign Values

How to Add Comments

Understanding Line Continuation

How to Index Elements

How to Structure Your Code with Indentation

Python - Other Python Operators

Python's Comparison Operators

Python's Logical and Identity Operators

Python - Conditional Statements

Getting to know the IF Statement

Adding an ELSE statement

Else if, for Brief ????????????????? ELIF

An Additional Explanation of Boolean Values

Python - Functions

How to Define a Function in Python

How to Create a Function with a Parameter

Define a Function in Another Way

How to use a Function within a Function

Use Conditional Statements and Functions Together

How to Create Functions Which Contain a Few Arguments

Built-In Functions in Python Worth Knowing

Python - Python Sequences

Introduction to Lists

Using Methods in Python

What is List Slicing?

Working with Tuples

Python Dictionaries

Python - Using Iterations

Using For Loops

Using While Loops and Incrementing

Use the range() Function to Create Lists

Combine Conditional Statements and Loops

All In ????????????????? Conditional Statements, Functions, and Loops

How to Iterate over Dictionaries

Python - Advanced Python tools

Introduction to Object Oriented Programming (OOP)

Using Modules and Packages

What is the Standard Library?

How to Import Modules in Python

Part 7: Integration - Software Integration

Getting Started with Data, Servers, Clients, Requests, and Responses

Getting Started with Data Connectivity, APIs, and Endpoints

Become Better Acquainted with APIs

Communication through Text Files

What is Software Integration and How is it Applied?

Integration - What is contained in this Course?

Solving a Business Exercise with Python, SQL, and Tableau

Presenting the Task: Absenteeism at Work

Presenting the Data Set

Integration - Data Preprocessing Step by Step

How is the Content in the Next Sections Organized?

How to Import the Data Set in Python

Exploring the Data Set

Programming vs the Rest of the World

A Brief Summary of Regression Analysis

The Approach we will Take to Solve this Exercise

Dropping Variables We Don't Need

EXERCISE - Dropping Variables We Don't Need

SOLUTION - Dropping Variables We Don't Need

A Deeper Look at the 'Reasons for Absence' Column

Splitting a Variable into Multiple Dummy Variables

EXERCISE - Splitting a Variable into Multiple Dummy Variables

SOLUTION - Splitting a Variable into Multiple Dummy Variables

How to Drop a Dummy Variable from the Data Set

A Statistical Perspective on Dummy Variables

Categorizing the Various Reasons for Absence

Concatenation in Python

EXERCISE - Concatenation in Python

SOLUTION - Concatenation in Python

How to Reorder Columns in a DataFrame in Python

EXERCISE - How to Reorder Columns in a DataFrame in Python

SOLUTION - How to Reorder Columns in a DataFrame in Python

Using Checkpoints to Ease Your Work in Jupyter

EXERCISE - Using Checkpoints to Ease Your Work in Jupyter

SOLUTION - Using Checkpoints to Ease Your Work in Jupyter

Analyzing the "Date" Column

Retrieving the Month Value From the "Date" Column

Adding the "Day of the Week" Column

EXERCISE - Dropping Columns

Analysis of the Next 5 Columns in DF

Dealing with More Numerical Features which may Behave like Categorical Ones

A Final Note on this Section

Integration - Integrating Python and SQL

How to Use the 'absenteeism_module' in Python - Part I

How to Use the 'absenteeism_module' in Python - Part II

Creating the 'predicted_outputs' Database in MySQL

Importing 'pymysql' in Python

Creating a Connection and Cursor

EXERCISE - Creating 'df_new_obs'

Creating the 'predicted_outputs' Table in MySQL

Executing and SQL SELECT Statement from Python

Sending Data from Jupyter to Workbench - Part I

Sending Data from Jupyter to Workbench - Part II

Sending Data from Jupyter to Workbench - Part III

Integration - Using Tableau to Analyze the Predicted Outputs

EXERCISE - Age vs Probability

Using Tableau to Analyze Age vs Probability

EXERCISE - Reasons vs Probability

Using Tableau to Analyze Reasons vs Probability

EXERCISE - Transportation Expense vs Probability

Using Tableau to Analyze Transportation Expense vs Probability

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The Business Intelligence Analyst Course 2024
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Students Ratings & Reviews

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M
Mayank
The Business Intelligence Analyst Course 2024
Offered by UDEMY
4
Learning Experience: Naukri.com is one of the leading job search platforms in India, with a wide range of job listings across various industries, including logistics management. The platform offers a user-friendly interface, which makes it easy for job seekers to search and apply for relevant job openings.
Faculty: The course also features a highly engaged and supportive community of learners. The instructor is very responsive to questions and provides detailed feedback on assignments, and the discussion forum is a great place to connect with other learners, share insights, and troubleshoot issues. The course is well-structured and covers a wide range of topics, including data modeling, SQL, data visualization, and data warehousing. The instructor has done an excellent job of breaking down complex concepts into easily understandable pieces and uses real-world examples to illustrate them. The content is presented in a clear and concise manner, and the pacing is just right - not too fast or too slow.
Course Support: One of the best things about this course is that it provides ample opportunities for hands-on practice. The instructor provides a range of practical exercises and assignments that allow learners to apply the concepts they've learned and build up their skills gradually. Additionally, the course provides learners with access to a range of tools and software.
Reviewed on 27 Apr 2023Read More
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Chinmaya Barik
The Business Intelligence Analyst Course 2024
Offered by UDEMY
5
Learning Experience: Logistics Management is a field that focuses on the efficient and effective flow of goods, services, and information from the point of origin to the point of consumption.The platform and training experience for Logistics Management courses can vary depending on the institution and the format of the course. In summary, Logistics Management is a vital field that plays a critical role in ensuring the smooth flow of goods, services, and information in various industries.
Faculty: The course also features a highly engaged and supportive community of learners. The instructor is very responsive to questions and provides detailed feedback on assignments, and the discussion forum is a great place to connect with other learners, share insights, and troubleshoot issues. The course is well-structured and covers a wide range of topics, including data modeling, SQL, data visualization, and data warehousing. The instructor has done an excellent job of breaking down complex concepts into easily understandable pieces and uses real-world examples to illustrate them. The content is presented in a clear and concise manner, and the pacing is just right - not too fast or too slow.
Course Support: One of the best things about this course is that it provides ample opportunities for hands-on practice. The instructor provides a range of practical exercises and assignments that allow learners to apply the concepts they've learned and build up their skills gradually. Additionally, the course provides learners with access to a range of tools and software.
Reviewed on 27 Apr 2023Read More
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sanya verma
The Business Intelligence Analyst Course 2024
Offered by UDEMY
5
Learning Experience: Great
Faculty: Great Great
Course Support: hxas
Reviewed on 25 Aug 2022Read More
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Debananda Roy
The Business Intelligence Analyst Course 2024
Offered by UDEMY
5
Other: Analytics and business intelligence (ABI) is an umbrella term that includes the applications,infrastructure and tools,and best practices that enable access to and analysis of information to improve and optimize decisions and performance.
Reviewed on 30 Oct 2021Read More
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Satyaranjan Samantaray
The Business Intelligence Analyst Course 2024
Offered by UDEMY
5
Other: The course highlighted the entire requirement for a business analyst. It covers the entire tools that requires for the same. The faculty teaching in the course were professional and easy to grasp.
Reviewed on 12 Sep 2021Read More
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The Business Intelligence Analyst Course 2024
 at 
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