Business Analytics: Excel, Stats & Looker Studio [3-in-1]
Essential skills for a business analyst: MS Excel for Data Analysis + Google Looker Studio for Viz + Business Statistics
4.62 (398 reviews)
![Business Analytics: Excel, Stats & Looker Studio [3-in-1]](https://thumbs.comidoc.net/750/4321408_ab69.jpg)
36,677
students
18 hours
content
Feb 2025
last update
$79.99
regular price
What you will learn
Knowledge of all the essential Excel formulas required for Business Analysis
Knowledge of data-related operations such as calculating, transforming, matching, filtering, sorting, and aggregating data
Learn important probability distributions such as Normal distribution, Poisson distribution, Exponential distribution, Binomial distribution etc
Solve business case-studies with Excel's data analytics tools such as solver, goal seek, scenario manager, etc
Learn how to use Google Data Studio to turns your data into fully customizable informative reports and dashboards that are easy to read and share
Knowledge of all chart types that one can draw in Google Data Studio
Learn sharing and collaborating on Datastudio reports
Learn about important data processing topics like outlier treatment, missing value imputation, variable transformation, and correlation.
Implement predictive ML models such as simple and multiple linear regression to predict outcomes to real world Finance problems
Learn the concepts of Probability and statistics required for making business decisions
Screenshots
![Business Analytics: Excel, Stats & Looker Studio [3-in-1] - Screenshot_01](https://screenshots.comidoc.net/4321408_1.png)
![Business Analytics: Excel, Stats & Looker Studio [3-in-1] - Screenshot_02](https://screenshots.comidoc.net/4321408_2.png)
![Business Analytics: Excel, Stats & Looker Studio [3-in-1] - Screenshot_03](https://screenshots.comidoc.net/4321408_3.png)
![Business Analytics: Excel, Stats & Looker Studio [3-in-1] - Screenshot_04](https://screenshots.comidoc.net/4321408_4.png)
4321408
udemy ID
9/27/2021
course created date
10/2/2021
course indexed date
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