The Business Intelligence Analyst Course 2023 
Learners: 215,214
Instructor: 365 Careers 
Duration: This is your chance to become a Business Intelligence Analyst! The Business Intelligence Analyst Course 2023 is the only course you need to become a BI Analyst. It is comprehensive and covers all the technical skills recruiters are looking for. You will learn Introduction to Data and Data Science, Statistics and Excel, Database theory, SQL, Tableau, and SQL + Tableau. With this course, you will gain an invaluable advantage to get ahead of other candidates. You will also get real-life examples, exercises, course notes, quizzes, and other materials to enhance your course taking experience. Don't miss out on this one-of-a-kind opportunity and subscribe today! ▼
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Course Feature
Cost:
Paid
Provider:
Udemy
Certificate:
Paid Certification
Language:
English
Start Date:
2023-06-30
Course Overview
❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [August 13th, 2023]
Skills and Knowledge Acquired:
The Business Intelligence Analyst Course 2023 provides students with the opportunity to acquire a comprehensive set of skills and knowledge related to the BI Analyst profession. Through this course, students will gain an understanding of data and data science, statistics and Excel, database theory, SQL, and Tableau. Additionally, they will learn how to use SQL and Tableau to perform real-life Business Intelligence tasks. Furthermore, the course provides students with course notes, quizzes, and other materials to enhance their learning experience. By completing this course, students will be well-equipped to pursue a career in the field of Business Intelligence.
Contribution to Professional Growth:
The Business Intelligence Analyst Course 2023 provides a comprehensive and in-depth look into the skills and knowledge required to become a successful BI Analyst. It covers a wide range of topics, from Introduction to Data and Data Science, Statistics and Excel, Database Theory, SQL, and Tableau, to SQL + Tableau integration. This course provides a comprehensive understanding of the technical skills recruiters are looking for when hiring BI Analysts, and gives learners the opportunity to acquire an invaluable advantage to get ahead of other candidates. By taking this course, professionals can gain the knowledge and skills necessary to become a successful BI Analyst, and can use this knowledge to further their professional growth.
Suitability for Further Education:
The Business Intelligence Analyst Course 2023 is an excellent choice for those looking to prepare for further education. The comprehensive program covers a range of topics, from Introduction to Data and Data Science to SQL and Tableau, giving students the technical skills and critical thinking abilities needed to become a successful BI Analyst. The course also provides real-life examples, exercises, course notes, quizzes, and other materials to enhance the learning experience. With the support of the team, this course is an invaluable opportunity to get ahead of other candidates and succeed in the BI Analyst profession.
Course Syllabus
Part 1: Introduction
Intro to Data and Data Science - The Different Data Science Fields
Intro to Data and Data Science - The Relationship between Different Fields
Intro to Data and Data Science - What is the Purpose of each Data Science Field
Intro to Data and Data Science - Common Data Science Techniques
Intro to Data and Data Science - Common Data Science Tools
Intro to Data and Data Science - Data Science Career Paths
Intro to Data and Data Science - Dispelling Common Misconceptions
Part 2: Statistics - Population and Sample
Statistics - Descriptive Statistics
Statistics - Practical Example: Descriptive Statistics
Statistics - Inferential Statistics Fundamentals
Statistics - Inferential Statistics: Confidence Intervals
Statistics - Practical Example: Inferential Statistics
Statistics - Hypothesis Testing
Statistics - Practical Example: Hypothesis Testing
Part 3: Relational Database Theory & Introduction to SQL
SQL - Install and get to know MySQL
SQL - Best SQL Practices
SQL - Loading the 'employees' Database
SQL - Practical Application of the SQL SELECT Statement
SQL - Expanding on MySQL Aggregate Functions
SQL - SQL JOINs
SQL - SQL Subqueries
SQL - Stored Routines
SQL - The CASE Statement
SQL - Window Functions
SQL Common Table Expressions (CTEs)
SQL Temporary Tables
Part 4: Introduction to Tableau
Tableau - Tableau functionalities
Tableau - The Tableau Exercise
Part 5: Combining SQL and Tableau - Introduction
Combining SQL and Tableau - Problem 1
Combining SQL and Tableau - Problem 2
Combining SQL and Tableau - Problem 3
Combining SQL and Tableau - Problem 4
Combining SQL and Tableau - Problem 5
Part 6: Introduction to Programming with Python
Python - Python Variables and Data Types
Python - Python Syntax Fundamentals
Python - Other Python Operators
Python - Conditional Statements
Python - Functions
Python - Python Sequences
Python - Using Iterations
Python - Advanced Python tools
Part 7: Integration - Software Integration
Integration - What is contained in this Course?
Integration - Data Preprocessing Step by Step
Integration - Integrating Python and SQL
Integration - Using Tableau to Analyze the Predicted Outputs
Course Provider
Provider Udemy's Stats at AZClass
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