
learn how to remove duplicate values in Excel by selecting the data or a specific column, using the remove duplicates tool to create unique values in data analysis bootcamp.
Learn how to handle null values in Excel by filling blanks with series, forward and backward methods, and options like mean, median, and mode.
learn how to upload a folder of csv data, extract and transform into named queries (customers data, products data, orders, payments, employees, offices) in Power BI/Excel.
Merge queries across Excel files to bring common columns, such as product code, into order details. Calculate total buy price, total MSRP, discount amount, and discount percentage using merged data.
Explore data modeling and private tables by connecting customers, products, and sales through a common column, then create private and pivot tables to extract and share data in Excel.
Create charts from pivot tables by selecting appropriate chart types, such as line for date/time and pie for percentages. Customize titles, axes, colors, and data labels to clearly visualize data.
Power BI is a software that stores, cleans, and presents data with charts and tables. It pulls data from Excel, SQL, websites, and Google Analytics.
Learn data analytics basics for beginners, including storing, cleaning, and presenting data. Access a free, two-hour introductory course on data analytics with Excel to ease learning Power BI.
Create pivot tables, then generate charts in Power BI, using pie and bar charts to visualize the profit in the data, and save changes as you present the results.
download the superstore sales full data set for the Tableau project from CocoaCourses via the library or OneDrive links, unzip the downloaded file, and prepare the data for Tableau.
Learn to connect and import data into Tableau from Excel and sources such as text, JSON, PDF, and OData, using the sample superstore file, and explore data interpreter.
Learn to import data from multiple sources, including csv, text files, and excel, into a single data model using Tableau, with guidance on using ChatGPT and saving the combined file.
Explore how parameters make dashboards dynamic by creating a top sales parameter, setting min, max, and step, and linking it to product and sales charts to auto-update results.
If you want real job-ready data skills — not just theory — this Data Analysis Bootcamp is designed to take you from beginner to confident data analyst using Excel, Power BI, and Tableau in one complete learning path.
Most people watch random videos, learn a few tools, and still feel lost when asked to work with real business data. This course fixes that. You won’t just learn buttons and menus — you’ll learn how to think like a data analyst, clean messy data, find patterns, and turn numbers into clear business answers.
By the end of this program, you will know how to take raw files, shape them into clean tables, create strong reports, and present insights that managers, clients, and teams can trust.
This is not a short crash course. It’s a full data analysis tutorial path that walks you through every major skill used in real jobs.
You’ll start with Excel, where you learn how data is structured, sorted, filtered, cleaned, and prepared. You’ll work with formulas, logic, text tools, date tools, validation, and pivot tables. These skills form the base for everything that comes next.
Next, you move into Power BI, where you learn how to connect multiple sources, shape data, create models, write basic DAX, and turn tables into clear reports and dashboards. You’ll see how business teams track sales, growth, trends, and performance using visuals that update with new data.
Then you step into Tableau, where you learn how to connect data, set dimensions and measures, work with charts, create dashboards, and complete a full project from start to finish. You’ll see how data stories are created for meetings, clients, and reports.
This course is designed for people who want real results, not just certificates.
If you finish this course, you will be able to:
Clean and organize large datasets
Combine files from different sources
Create dashboards for business use
Explain trends using charts and visuals
Support decisions with clear data reports
If you don’t take this course, you risk staying stuck at the level of basic spreadsheet use — unable to move into roles that ask for Power BI, Tableau, or full reporting skills. Many job listings now ask for all three. This bootcamp prepares you for that demand in one guided path.
You don’t need a tech background. Everything is explained in simple steps, with hands-on practice. You learn by doing, not by memorizing.
This program also includes practice projects that help you think like someone working in a business setting. You won’t just “complete lessons” — you’ll complete tasks that feel like real work.
By the time you finish, you won’t just say you learn data analytics — you’ll be able to prove it with skills, reports, and dashboards you can show in interviews, freelance work, or job roles.
If your goal is career growth, better job options, or moving into reporting, analytics, or business roles, this Data Analysis Bootcamp gives you a clear path from start to finish.