The Business Intelligence Analyst Course 2024 from Udemy

Hi. Welcome to The Business Intelligence Analyst Course, the only course you need to become a BI Analyst.

We are proud to present you this one-of-a-kind opportunity. There are several online courses teaching some of the skills related to the BI Analyst profession. The truth of the matter is that none of them completely prepare you.

Our program is different than the rest of the materials available online.

It is truly comprehensive. The Business Intelligence Analyst Course comprises of several modules:

Introduction to Data and Data Science
Statistics and Excel
Database theory
SQL
Tableau
SQL + Tableau

These are the precise technical skills recruiters are looking for when hiring BI Analysts. And today, you have the chance of acquiring an invaluable advantage to get ahead of other candidates. This course will be the secret to your success. And your success is our success, so let’s make it happen.

Here are some more details of what you get with The Business Intelligence Analyst Course:

Introduction to Data and Data Science – Make sense of terms like business intelligence, traditional and big data, traditional statistical methods, machine learning, predictive analytics, supervised learning, unsupervised learning, reinforcement learning, and many more;
Statistics and Excel – Understand statistical testing and build a solid foundation. Modern software packages and programming languages are automating most of these activities, but this part of the course gives you something more valuable – critical thinking abilities;
Database theory – Before you start using SQL, it is highly beneficial to learn about the underlying database theory and acquire an understanding of why databases are created and how they can help us manage data
SQL - when you can work with SQL, it means you don’t have to rely on others sending you data and executing queries for you. You can do that on your own. This allows you to be independent and dig deeper into the data to obtain the answers to questions that might improve the way your company does its business
Tableau – one of the most powerful and intuitive data visualization tools available out there. Almost all large companies use such tools to enhance their BI capabilities. Tableau is the #1 best-in-class solution that helps you create powerful charts and dashboards
Learning a programming language is meaningless without putting it to use. That’s why we integrate SQL and Tableau, and perform several real-life Business Intelligence tasks

Sounds amazing, right?

Our courses are unique because our team works hard to:

Pre-script the entire content
Work with real-life examples
Provide easy to understand and complete explanations
Create beautiful and engaging animations
Prepare exercises, course notes, quizzes, and other materials that will enhance your course taking experience
Be there for you and provide support whenever necessary

We love teaching and we are really excited about this journey. It will get your foot in the door of an exciting and rising profession. Don’t hesitate and subscribe today. The only regret you will have is that you didn’t find this course sooner.

What's inside

Learning objectives

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
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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
Show more
Show less

Syllabus

Part 1: Introduction

What Does the Course Cover

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Intro 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

Population and Sample

Statistics - Descriptive Statistics

Types of Data

Types of data

Levels of Measurement

Levels of measurement

Categorical Variables - Visualization Techniques

Categorical variables. Visualization Techniques

Categorical Variables Exercise

Numerical Variables - Frequency Distribution Table

Numerical variables. Using a frequency distribution table

Numerical Variables Exercise

The Histogram

Histogram Exercise

Cross Table and Scatter Plot

Cross Tables and Scatter Plots

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

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

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Helps learners boost their resume with in-demand skills

Develops problem solving, a core skill in data-driven careers

Introduces learners to data and data science fundamentals

Taught by 365 Careers, an established institution

Emphasizes the importance of critical thinking abilities

Topics are highly relevant to industry

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in The Business Intelligence Analyst Course 2024 with these activities:

Review Statistics Concepts

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Strengthen your foundation in statistics by reviewing key concepts, ensuring that you have a solid understanding of the fundamentals.

Browse courses on Statistics

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Go over probability distributions, measures of central tendency, and statistical inference.
Solve practice problems to test your understanding.

Practice SQL Coding

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Refresh your SQL coding skills by practicing writing queries and manipulating data, ensuring that you're comfortable with the syntax and commands.

Browse courses on SQL

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Review the basic syntax and structure of SQL queries.
Write queries to create, select, update, and delete data from tables.
Use aggregate functions, joins, and subqueries to retrieve and manipulate data effectively.

Create a Tableau Visualization

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Enhance your data storytelling abilities by creating an interactive Tableau visualization that effectively communicates insights.

Browse courses on Tableau

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Import data into Tableau.
Create charts and graphs to represent the data.
Use filters and parameters to allow users to explore the data.
Design dashboards to present the visualizations in a cohesive manner.
Share the visualization with others and gather feedback.

Four other activities

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Show all seven activities

Practice SQL Queries

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Increase your proficiency in writing effective SQL queries by completing a series of practice exercises.

Browse courses on SQL

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Review the SQL syntax and commands.
Connect to a database using a SQL client.
Write and execute simple queries to retrieve data.
Use aggregate functions and joins to manipulate data.
Troubleshoot and optimize your queries for efficiency.

Assist Fellow Learners

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Reinforce your understanding of the course material by assisting fellow learners, answering their questions, and providing guidance.

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Identify a platform or forum where you can connect with other learners.
Actively participate in discussions and offer help to those who need it.
Provide constructive feedback and support to enhance the learning experience of others.

Build a Data Analysis Project

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Demonstrate your comprehensive understanding of data analysis by completing a project that involves data collection, cleaning, analysis, and interpretation.

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Define the problem statement and research question.
Collect and clean the data.
Explore and analyze the data using statistical methods and visualization techniques.
Develop insights and recommendations based on the analysis.
Present your findings in a report or presentation.

Develop a Business Intelligence Solution

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Apply the concepts and skills learned in the course to create a real-world business intelligence solution that solves a specific problem or improves decision-making.

Browse courses on Business Intelligence

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Identify a business problem or opportunity.
Gather and analyze data from multiple sources.
Develop a solution that leverages data analysis and visualization techniques.
Implement the solution and monitor its impact.
Evaluate the results and make improvements as needed.

Career center

Learners who complete The Business Intelligence Analyst Course 2024 will develop knowledge and skills that may be useful to these careers:

Business Intelligence Analyst

Business Intelligence Analysts gather, manage, and analyze data to help companies better understand their operations and customers. With a foundation in statistics and familiarity with tools like SQL and Tableau, graduates of The Business Intelligence Analyst Course are well-prepared to launch careers in this field and succeed in this role.

See salaries and explore the career path for Business Intelligence Analyst

Data Analyst

Data Analysts use data to solve business problems and improve decision-making. This course provides a solid foundation in data analysis techniques, including statistics, data visualization, and data mining. Graduates will be able to use their skills to identify trends, patterns, and insights in data.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists use their expertise in statistics, machine learning, and data visualization to extract insights from data. This course provides a strong foundation in the fundamentals of data science, including data wrangling, data analysis, and machine learning algorithms. Graduates will be able to use their skills to build predictive models, develop data-driven solutions, and improve business outcomes.

See salaries and explore the career path for Data Scientist

Statistician

Statisticians use their knowledge of statistics to collect, analyze, and interpret data. This course provides a strong foundation in statistical methods, including hypothesis testing, regression analysis, and statistical modeling. Graduates will be able to use their skills to design experiments, analyze data, and draw conclusions from data.

See salaries and explore the career path for Statistician

Database Administrator

Database Administrators are responsible for the maintenance and performance of databases. This course provides a strong foundation in database theory and SQL, the standard language for accessing and manipulating data in databases. Graduates will be able to use their skills to design, implement, and maintain databases.

See salaries and explore the career path for Database Administrator

Market Researcher

Market Researchers use data to understand consumer behavior and market trends. This course provides a strong foundation in research methods, data analysis, and data visualization. Graduates will be able to use their skills to design and conduct market research studies, analyze data, and develop insights that can help businesses make better decisions.

See salaries and explore the career path for Market Researcher

Financial Analyst

Financial Analysts use data to analyze financial performance and make investment recommendations. This course provides a strong foundation in financial analysis techniques, including financial modeling, valuation, and risk assessment. Graduates will be able to use their skills to analyze financial statements, develop investment strategies, and make sound investment decisions.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

Operations Research Analysts use data to improve the efficiency and effectiveness of business operations. This course provides a strong foundation in operations research techniques, including linear programming, simulation, and queuing theory. Graduates will be able to use their skills to analyze business processes, identify inefficiencies, and develop solutions to improve performance.

See salaries and explore the career path for Operations Research Analyst

Quantitative Analyst

Quantitative Analysts use data to develop and implement mathematical models to solve business problems. This course provides a strong foundation in quantitative analysis techniques, including statistics, machine learning, and optimization. Graduates will be able to use their skills to build models, analyze data, and develop solutions to complex business problems.

See salaries and explore the career path for Quantitative Analyst

Risk Analyst

Risk Analysts use data to identify, assess, and mitigate risks. This course provides a strong foundation in risk management techniques, including risk assessment, risk modeling, and risk mitigation. Graduates will be able to use their skills to identify and assess risks, develop risk mitigation strategies, and improve risk management practices.

See salaries and explore the career path for Risk Analyst

Actuary

Actuaries use data to assess and manage financial risks. This course provides a strong foundation in actuarial science, including probability, statistics, and financial mathematics. Graduates will be able to use their skills to develop and implement actuarial models, analyze financial risks, and make sound financial decisions.

See salaries and explore the career path for Actuary

Business Analyst

Business Analysts use data to analyze business processes and identify opportunities for improvement. This course provides a strong foundation in business analysis techniques, including process mapping, data analysis, and stakeholder management. Graduates will be able to use their skills to analyze business processes, identify inefficiencies, and develop solutions to improve performance.

See salaries and explore the career path for Business Analyst

Management Consultant

Management Consultants use data to help organizations improve their performance. This course provides a strong foundation in management consulting techniques, including problem solving, data analysis, and stakeholder management. Graduates will be able to use their skills to identify and solve business problems, develop solutions, and improve organizational performance.

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Software Engineer

Software Engineers use data to design and develop software applications. This course provides a strong foundation in software engineering principles, including data structures, algorithms, and software design. Graduates will be able to use their skills to design, develop, and implement software applications that meet the needs of users.

See salaries and explore the career path for Software Engineer

Data Engineer

Data Engineers use data to build and maintain data pipelines. This course provides a strong foundation in data engineering principles, including data warehousing, data integration, and data quality. Graduates will be able to use their skills to design, build, and maintain data pipelines that provide data to businesses for analysis and decision-making.

See salaries and explore the career path for Data Engineer