The Business Intelligence Analyst Course 2020

Ahmad Zaytoun
Last Update December 10, 2020
12 already enrolled

About This Course

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!

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

Requirements

  • 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

Curriculum

5 Lessons22h 30m

Intro to Data and Data Science – Different Data Science Fields

Assignments
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

Your Instructors

Ahmad Zaytoun

4.94/5
101 Courses
18 Reviews
232 Students
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Free
Level
All Levels
Duration 22.5 hours
Lectures
5 lectures

Material Includes

  • Videos
  • Booklets
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