
Learn to analyze data and create visualizations using Excel and Google Data Studio. Build analytical models and present interactive reports that teams can collaborate on.
Start Microsoft Excel and master workbook and worksheet basics, including cells, rows, and columns. Explore the ribbon and tabs—home, insert, page layout, formulas, data, review, view—to navigate essential features.
Celebrate reaching this milestone and joining the top 50% of learners, while leveraging resources like the Q&A portal, AI assistant, subtitles, offline video, playback controls, and your certificate.
Learn how to enter data and formulas in a worksheet, activate cells with the keyboard, and calculate total cells by multiplying columns and rows, then save the workbook.
Edit data in cells by double-clicking or using the formula bar, and clear content. Understand Excel data formats: textual, numeric, and formula, with number, currency, 1900 date formats.
Master worksheet management in a workbook by adding, renaming, deleting, and rearranging sheets, and resizing, inserting, hiding, and unhiding rows and columns.
Master data handling in tables by using cut, copy, and paste with keyboard shortcuts, navigate with arrow and control keys, and undo actions with Ctrl+Z.
Open or create workbooks from the file tab, and save or save as with password protection. Print worksheets using print preview and page layout or page break view.
Learn to use Excel mathematical functions, compare formulas and functions, and apply sum, min, max, average, and rank to student scores with absolute references and dragging.
Use sum product to calculate weighted totals for student marks. Apply rand and randbetween to generate random scores, then learn paste as values to fix results.
Learn how to use Excel's textual functions, including substitute, upper, lower, length, left, right, and mid, to manipulate strings, validate formulas, and extract QR code segments with practical examples.
Explore logical functions in excel, from single-argument tests to and/or and nested ifs, and use if, countif, countifs, and sum to grade and tally students.
Explore date-time functions in Excel, including today and now, convert dates to numbers, format dates, extract day, month, year, and compute differences using date diff.
Master Excel lookup functions—vlookup, hlookup, and index–match—to retrieve student scores from a reference table using exact or approximate matches, and use index–match as a faster alternative for large datasets.
Xlookup replaces vlookup in Excel 2021/365, using lookup and return arrays to fetch values (even multiple) and can look up to the left or right of the array.
Learn how XLOOKUP replaces VLOOKUP and HLOOKUP, handles #NA with the not found parameter, and uses exact and approximate match modes like next smaller or larger.
Master wildcard matching in xlookup using star and question mark characters to perform partial string lookups, enabling employee ID based CTC retrieval via wildcard character match.
Explore xlookup search modes: top-to-bottom by default, bottom-to-top with -1, binary search for ascending or descending order, and learn when unique and sorted values speed lookups and replace vlookup/hlookup.
Master data tools in Excel: sort and filter by numbers or text, use a custom sort, and apply data validation with dropdown lists, input messages, and error alerts.
Learn to convert comma- or tab-separated text into columns in Excel with text to columns, using delimited or fixed width options, and remove duplicates while sorting by English marks.
Learn to use Excel's advanced filters to apply multiple criteria, copy results to a new location, filter with wildcards, extract unique records, and tailor the output columns.
Learn to format data tables in Excel using bold, italics, borders, font changes, alignment, wrap text, and merge; copy formats with format painter, and apply conditional formatting and freeze panes.
Learn to summarize data with pivot tables in Excel to create reports using rows and columns, compute counts and sums, and apply filters and slicers.
Explore how the analyze data option in Excel converts simple English prompts into pivot tables and charts, filters, and insights, with automatic updates when data is formatted as a table.
Learn how to import tables from a PDF into Excel 2021 or Office 365, transform data with Power Query, and refresh or combine multi-page PDFs for accurate balance sheet analysis.
Learn to import web data into Excel 2019 and above with Get Data from Web and Power Query, creating refreshable tables with proper headers, sorting, and filters.
Learn how Google Data Studio turns raw data into insightful charts and dynamic dashboards, with theory and hands-on report building. Explore advanced features, branding, filtering, data blending, and sharing.
Explore how to build a simple covid-19 dashboard in Google Data Studio from a CSV, featuring a top five bar chart, interactive geo map, and world total cases scorecard.
Ensure fields stay in columns and records in rows to support accurate variable detection. Structure the data with columns for order, date, sales, amount, and quantity to prevent misalignment.
Understand dimensions as the attributes in your data and measures as the aggregations that summarize them. See how grouping by dimensions and computing counts, sums, and minimums reveals inventory insights.
Open Looker Studio, prepare a dynamic data source with Google Sheets, rename the sheet to Covid data, and learn to import HTML and import range for updates.
connect a Google Sheet as a data source in Data Studio, authorize the connector, select the sheet and headers, hide unwanted rows, and add to a report.
Open and edit the added data source in Data Studio, verify fields and types, hide the record count, and add worldwide cases and death rate fields.
You're looking for a complete course on how to become a business analyst, right?
You've found the right Business Analytics: Excel, Stats & Looker Studio [3-in-1] 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 (now Looker 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!
Cheers
Start-Tech Academy