Business Analyst Bootcamp: Excel, Stats, SQL, Tableau

30+ Data Analysis, Business Intelligence, and Decision Making Exercises for Agile Business Analytics

4.53 (643 reviews)

Udemy

platform

English

language

Data & Analytics

What you will learn

Excel: Mine data and generate actionable insights with Pivot Tables, Lookup Functions, Index/Match, and Graphs

Excel: Create machine learning model and make predictions with Analysis Toolpak

SQL: Understanding the data life cycle and how data moves from a pipeline into a data warehouse/lake

SQL: Query, clean, and prepare data for analysis and real-time reporting

Tableau: Create visualizations and dashboards to communicate data insights

Tableau: Storytelling technical information to executives and business stakeholders

Charts

Students

Price

Rating & Reviews

Enrollment Distribution

Comidoc Review

Our Verdict

This Business Analytics/Intelligence course focusing on practical examples provides a solid introduction to data analysis, visualization, and decision-making for agile business analytics through diverse teaching methods. With continuous updates and an MBA-level curriculum tailored for various backgrounds, it delivers valuable insights despite the limited accessibility and lack of formal certification or community support.

What We Liked

The course offers a comprehensive curriculum that covers all necessary skills for data analysis using free tools like Google Sheets, MySQL, and Tableau.
It includes diverse teaching methods such as theoretical videos, hands-on tutorials, and mock cases to facilitate learning for various types of learners.
A wide range of topics are explored including data pipelines, spreadsheet functions, descriptive and inferential statistics, machine learning, time series, SQL, visualization, and non-technical skills.
The course is continuously updated with industry breakthroughs and adjusted based on student feedback, ensuring an optimized learning experience.

Potential Drawbacks

A few students might find the pace challenging due to the dense nature of data analytics content and the variety of tools introduced.
Some may prefer having lifetime access since the course grants limited accessibility, considering it is self-paced.
The absence of certification could be a drawback for professionals seeking formal recognition after completion.
There is no discussion forum or community to ask questions or seek support from peers and instructors.