Business Intelligence Analyst 2020 course

آرین سمیعی
Last Update May 11, 2022
12 already enrolled

About This Course

Our program is different from other materials available online.

It is really comprehensive. The Business Intelligence Analyst course consists of several modules:

Introduction to data science
Statistics and Excel
Database theory
SQL + Tableau

These are the exact technical skills that recruiters seek when hiring analysts. And today, you have the chance to earn valuable points to overtake other candidates. This course will be the key to your success. And your success is our success, so let’s make it happen!

Learning Objectives

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

Material Includes

  • Videos
  • Booklets


  • No prior experience is required. We will start from the very basics
  • You’ll need to install MySQL, Tableau Public, and Anaconda. We will show you how to do it step by step
  • Microsoft Excel 2003, 2010, 2013, 2016, or 365

Target Audience

  • 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


5 Lessons22h 30m

Intro to Data and Data Science – Different Data Science Fields

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

Intro to Data and Data Science – Common Data Science Techniques

Communication Skills Methodology

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All Levels
Duration 22.5 hours
5 lectures

Material Includes

  • Videos
  • Booklets