Business Analyst Masterclass with Excel & Google Data Studio

Business Analyt skillpath using Excel & Google Data Studio, must-know for Business intelligence & Business analyst roles

4.52 (227 reviews)
17.5 hours
Nov 2022
last update
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


[November 2022 update]

  • Added a new section on Xlookup, a powerful alternative to Vlookup and Hlookup

  • Added a new video on how to present geographical data using Map charts in Excel

  • Added a new video on how to import data from PDF reports such as Balance sheets to Excel for analysis

  • Added a new video on how to get dynamic data tables from websites such as Yahoo finance into Excel

You're looking for a complete course on how to become a business analyst, right?

You've found the right Business Analyst Masterclass with Excel & Google Data Studio course! This course will teach you data-driven decision-making, data visualization, and the use of analytical and statistical methods in business settings.

After completing this course you will be able to:

  • Understand how to formulate a business problem as an analytics problem

  • Summarize business data into tables and charts to communicate information effectively

  • Create data-driven live dashboards

  • Make predictive machine learning model to predict business outcomes

  • Use statistical concepts to reach business decisions

  • Interpret the results of statistical models for formulating strategy

How this course will help you?

A Verifiable Certificate of Completion is presented to all students who undertake this course on Business Analyst Masterclass in Excel and Google Data studio.

If you are a business manager, or business analyst or an executive, or a student who wants to learn Business Analytics concepts and apply data analytics techniques to real-world problems of the business function, this course will give you a solid base for Business Analytics by teaching you the most popular business analysis models and how to implement them in MS Excel.

Why should you choose this course?

We believe in teaching by example. This course is no exception. Every Section’s primary focus is to teach you the concepts through how-to examples. Each section has the following components:

  • Theoretical concepts and use cases of different Statistical models required for evaluating business models

  • Step-by-step instructions on implementing business models in MS Excel

  • Downloadable Excel files containing data and solutions used in MS Excel

  • Class notes and assignments to revise and practice the concepts in MS Excel

The practical classes where we create the model for each of these strategies are something that differentiates this course from any other course available online.

What makes us qualified to teach you?

The course is taught by Abhishek (MBA - FMS Delhi, B. Tech - IIT Roorkee) and Pukhraj (MBA - IIM Ahmedabad, B. Tech - IIT Roorkee). As managers in the Global Analytics Consulting firm, we have helped businesses solve their business problems using Analytics and we have used our experience to include the practical aspects of business analytics in this course. We have in-hand experience in Business Analysis.

We are also the creators of some of the most popular online courses - with over 1,200,000 enrollments and thousands of 5-star reviews like these ones:

This is very good, i love the fact the all explanation given can be understood by a layman - Joshua

Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy

Our Promise

Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet, or anything related to any topic, you can always post a question in the course or send us a direct message.

Download Practice files, take Quizzes, and complete Assignments

With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts like Business Statistics and Analytics in MS Excel. Each section contains a practice assignment for you to practically implement your learning on Business Analysis in MS Excel.

What is covered in this course?

The analysis of data is not the main crux of analytics. It is the interpretation that helps provide insights after the application of analytical techniques that makes analytics such an important discipline. We have used the most popular analytics software tool which is MS Excel along with Google Data Studio. This will aid the students who have no prior coding background to learn and implement Analytics and Data visualization concepts to actually solve real-world problems of Business Analysis.

Let me give you a brief overview of the course

  • Part 1 - Excel for data analytics

In the first section, i.e. Excel for data analytics, we will learn how to use excel for data-related operations such as calculating, transforming, matching, filtering, sorting, and aggregating data.

We will also cover how to use different types of charts to visualize the data and discover hidden data patterns.

  • Part 2 - Google Data Studio for Data visualization

The second section, i.e. Google Data Studio for Data visualization will cover everything you need to create insightful and dynamic reports using Google Data Studio.

We will learn how to use different types of charts to visualize the data and discover hidden data patterns. Along with this, we will also learn how to create dashboards and how to share the dashboards with your team

  • Part 3 - Statistics foundations for business analysts

Then, in the third section, i.e. Statistics foundations for business analysts, we will start learning about the core concepts of Business Analytics i.e. probability and probability distribution. We will look at important probability distributions used in a business setting such as Normal distribution, Poisson distribution, Exponential distribution, Binomial  distribution, etc

These concepts form the foundation of data analytics, machine learning, and deep learning.

  • Part 4 - Statistical Decision making

Once we have covered the basics of probability, in the fourth section, i.e. Statistical Decision making we will discuss some advanced concepts related to sample testing i.e. hypothesis testing.

These are the concepts that differentiate a beginner from a pro!

  • Part 5 - Optimizing Business Models

In the fifth section, i.e. Optimizing Business Models we will learn how to solve common business problems with the help of excel's data analytics tools such as solver, goal-seek, scenario manager, etc.

  • Part 6 - Preprocessing Data for ML models

In this section, you will learn what actions you need to take step by step to get the data and then prepare it for analysis, these steps are very important. We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do univariate analysis and bivariate analysis then we cover topics like outlier treatment, missing value imputation, variable transformation, and correlation.

  • Part 7 - Linear regression model for predicting metrics

This section starts with simple linear regression and then covers multiple linear regression.

We have covered the basic theory behind each concept without getting too mathematical about it so that you understand where the concept is coming from and how it is important. But even if you don't understand it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.

I am pretty confident that the course will give you the necessary knowledge on Business Analysis and Data Visualization, and the skillsets of a Business Analyst to immediately see practical benefits in your workplace.

Go ahead and click the enroll button, and I'll see you in lesson 1 of this Business Analyst Masterclass course!


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Excel basics

Entering values and Formulas
Data Formats
Worksheet Basics
Data Handling Basics - Cut, Copy and Paste
Saving and Printing - Basics

Essential Formulas and Functions

Basic Formula Operations
Mathematical Functions Part 1
Mathematical Functions Part 2
Difference between RANK, RANK.AVG and RANK.EQ
Textual Functions Part 1
Textual Functions Part 2
Logical Functions
Date-Time Functions
Lookup Functions (V Lookup, Hlookup, Index-Match)

Data Tools

Data Tools Part 1
Data Tools Part 2
Formatting data and tables
Pivot Tables

Google Data Studio - Introduction

Why Data Studio

Terminologies & Theoretical concepts for Data Studio

Data Studio Home Screen Dataset vs Data Source
Structure of Input data Dimensions vs Metrics

Practical part begins here

Opening Data Studio
Adding a data source
Managing added data source

Important Charts

Data Table
Styling tab for data table
Simple Bar and Column chart
Stacked Column chart
Time Series
Line Chart and Combo Chart
Pie Chart and Donut Chart
Stacked Area Charts
Scatter Plots and Bubble charts
Pivot tables for cross tabulation
Bullet Chart

Branding a Report and other features

Branding a Report Brand Logo and Company Details
Brand colors for report branding
Filter controls for viewers
URL Embed to include external content
Blending data from multiple tables

Sharing and Collaborating on Data Studio report

Downloading report as PDF and Page Management
Sharing report and Data Credentials
Sharing report using a link
Scheduling emails
Embeding report on Website
Connecting and Visualizing Data in Google BigQuery

Introduction to probability

Module Introduction
Basics of probability
Calculating Probability in Excel - Part 1
Calculating Probability in Excel - Part 2
Important laws of probability
Implementing laws of probability in Excel

Probability distribution concepts

Concepts of probability distribution
Measures of probability distribution in Excel
Discreet vs continuous probability distribution
Using probablity distribution

Types of discreet probability distribution

Discreet Uniform probability distribution
Discreet binomial probability distribution
Binomial - Practical session
Discreet Poisson probability distribution
Poisson - Practical session

Types of continuous probablity distribution

Continuous probability distribution - Introduction
Uniform continuous probability distribution
Normal distribution
Normal distribution - Practical session
Exponential distribution
Exponential distribution - Practical session

Statistical Inference

Module Introduction
Sampling and Types of Sampling
Point Estimation
Excel - How to do random sampling
Excel - Point Estimation
Sampling Distributions
Excel - Demo of key results
Interval Estimation
Excel - Interval Estimation for mean
Excel - Interval Estimation for proportion
How to determine sample size?
Sample case study

Hypothesis Testing

What is Hypothesis testing?
Type 1 and Type 2 errors
The process of hypothesis testing Part-1
The process of hypothesis testing Part-2
How to find the p-value?
Excel - Statistical Formulas for T distribution
Excel - Statistical Formulas for Z distribution
Vaccination case study
Exercise problem

Optimizing business models - Basics

Module introduction
Goal-seek and Scenario Manager in Excel
Solver in Excel
Different Solving methods of Excel Solver

Optimizing business models - Case Studies

Solving a Transportation problem
Price Skimming
Excel - Price Skimming model
Concept of Customer lifetime Value
Excel - Calculating customer lifetime value

Predictive analytics - Preparing the Data

Module introduction
Gathering Business Knowledge
Data Exploration
The Data and the Data Dictionary
Univariate analysis and EDD
Discriptive Data Analytics in Excel
Outlier Treatment
Identifying and Treating Outliers in Excel
Missing Value Imputation
Identifying and Treating missing values in Excel
Variable Transformation in Excel
Dummy variable creation: Handling qualitative data
Dummy Variable Creation in Excel
Correlation Analysis
Creating Correlation Matrix in Excel

Predictive analytics - Building a Linear Regression Model

The Problem Statement
Basic Equations and Ordinary Least Squares (OLS) method
Assessing accuracy of predicted coefficients
Assessing Model Accuracy RSE and R squared
Creating Simple Linear Regression model
Multiple Linear Regression
The F - statistic
Interpreting results of Categorical variables
Creating Multiple Linear Regression model

Final Section

The final milestone!
Congratulations & About your certificate


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September 3, 2022
The language can be better. Had to repeat more than a few times to understand what was being said. The content is pretty much Ok ,so simple one is starting to think some things are left out
February 20, 2022
Fantastic Course With Clear Explanations Of Statistical Concepts! Also Great Bonus Of Getting You Up And Running With Data Studio!Would Recommend To Fellow Students.
October 27, 2021
The course is like an eye opener to differences in using table, charts, formula and functions in excel. With the auto update Google data studio, my data analysis just got better. Thank you
October 19, 2021
The course is quite detailed and explains every little thing. It's beginner friendly and can be understood easily.


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