The Business Intelligence Analyst Course 2024

The Business Intelligence Analyst Course 2024, available at $109.99, has an average rating of 4.51, with 460 lectures, 267 quizzes, based on 45807 reviews, and has 236935 subscribers.

You will learn about 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 This course is ideal for individuals who are Beginners to programming and data science or Students eager to learn about job opportunities in the field of data science or Candidates willing to boost their resume by learning how to combine the knowledge of Statistics, SQL, and Tableau in a real-world working environment or SQL Programmers who want to develop business reasoning and apply their knowledge to the solution of various business tasks or People interested in a Business Intelligence Analyst career It is particularly useful for Beginners to programming and data science or Students eager to learn about job opportunities in the field of data science or Candidates willing to boost their resume by learning how to combine the knowledge of Statistics, SQL, and Tableau in a real-world working environment or SQL Programmers who want to develop business reasoning and apply their knowledge to the solution of various business tasks or People interested in a Business Intelligence Analyst career.

Enroll now: The Business Intelligence Analyst Course 2024

Summary

Title: The Business Intelligence Analyst Course 2024

Price: $109.99

Average Rating: 4.51

Number of Lectures: 460

Number of Quizzes: 267

Number of Published Lectures: 460

Number of Published Quizzes: 267

Number of Curriculum Items: 727

Number of Published Curriculum Objects: 727

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

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

Who Should Attend

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

Target Audiences

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

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!

Course Curriculum

Chapter 1: Part 1: Introduction

Lecture 1: What Does the Course Cover

Lecture 2: Download All Resources

Chapter 2: Intro to Data and Data Science – The Different Data Science Fields

Lecture 1: Why Are There So Many Business and Data Science Buzzwords?

Lecture 2: Analysis vs Analytics

Lecture 3: Intro to Business Analytics, Data Analytics, and Data Science

Lecture 4: Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture

Lecture 5: An Overview of our Data Science Infographic

Chapter 3: Intro to Data and Data Science – The Relationship between Different Fields

Lecture 1: When are Traditional data, Big Data, BI, Traditional Data Science and ML applied

Chapter 4: Intro to Data and Data Science – What is the Purpose of each Data Science Field

Lecture 1: Why do we Need each of these Disciplines?

Chapter 5: Intro to Data and Data Science – Common Data Science Techniques

Lecture 1: Traditional Data: Techniques

Lecture 2: Traditional Data: Real-life Examples

Lecture 3: Big Data: Techniques

Lecture 4: Big Data: Real-life Examples

Lecture 5: Business Intelligence (BI): Techniques

Lecture 6: Business Intelligence (BI): Real-life Examples

Lecture 7: Traditional Methods: Techniques

Lecture 8: Traditional Methods: Real-life Examples

Lecture 9: Machine Learning (ML): Techniques

Lecture 10: Machine Learning (ML): Types of Machine Learning

Lecture 11: Machine Learning (ML): Real-life Examples

Chapter 6: Intro to Data and Data Science – Common Data Science Tools

Lecture 1: Programming Languages & Software Employed in Data Science – All the Tools Needed

Chapter 7: Intro to Data and Data Science – Data Science Career Paths

Lecture 1: Data Science Job Positions: What do they Involve and What to Look out for?

Chapter 8: Intro to Data and Data Science – Dispelling Common Misconceptions

Lecture 1: Dispelling common Misconceptions

Chapter 9: Part 2: Statistics – Population and Sample

Lecture 1: Population vs sample

Chapter 10: Statistics – Descriptive Statistics

Lecture 1: Types of Data

Lecture 2: Levels of Measurement

Lecture 3: Categorical Variables – Visualization Techniques

Lecture 4: Categorical Variables Exercise

Lecture 5: Numerical Variables – Frequency Distribution Table

Lecture 6: Numerical Variables Exercise

Lecture 7: The Histogram

Lecture 8: Histogram Exercise

Lecture 9: Cross Table and Scatter Plot

Lecture 10: Cross Tables and Scatter Plots Exercise

Lecture 11: Mean, median and mode

Lecture 12: Mean, Median and Mode Exercise

Lecture 13: Skewness

Lecture 14: Skewness Exercise

Lecture 15: Variance

Lecture 16: Variance Exercise

Lecture 17: Standard Deviation and Coefficient of Variation

Lecture 18: Standard Deviation and Coefficient of Variation Exercise

Lecture 19: Covariance

Lecture 20: Covariance Exercise

Lecture 21: Correlation Coefficient

Lecture 22: Correlation Coefficient Exercise

Chapter 11: Statistics – Practical Example: Descriptive Statistics

Lecture 1: Practical Example

Lecture 2: Practical Example Exercise

Chapter 12: Statistics – Inferential Statistics Fundamentals

Lecture 1: Introduction

Lecture 2: What is a Distribution

Lecture 3: The Normal Distribution

Lecture 4: The Standard Normal Distribution

Lecture 5: The Standard Normal Distribution Exercise

Lecture 6: Central Limit Theorem

Lecture 7: Standard error

Lecture 8: Estimators and Estimates

Instructors

365 Careers
Creating opportunities for Data Science and Finance students
365 Team
Creating opportunities for Business & Finance students

Rating Distribution

1 stars: 275 votes
2 stars: 511 votes
3 stars: 4115 votes
4 stars: 16205 votes
5 stars: 24701 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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