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Become a Data Analyst: Excel, SQL & Tableau - 3-in-1 Bundle

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  • 26,018 Students
  • Updated 3/2026
4.4
(2,625 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Language
English
Rating
4.4
(2,625 Ratings)

Course Overview

Become a Data Analyst: Excel, SQL & Tableau - 3-in-1 Bundle

Boost Your Career with Data Analytics: Learn Excel, SQL & Tableau for Advanced Business Insights & Competitive Advantage

[September 2025 update]

  • Added a section on the "Copilot in Excel" which demonstrates the capabilities and limitations of Copilot - Microsoft's GenAI powered assistant in Excel

  • Added a section on "Power Query, Power Pivot and DAX in Excel" for building powerful and automated reports in Excel

  • Added a video on the "Analyze Data" option in MS Excel

  • Added a new section on how to practice SQL using fun case studies.

If you are interested in becoming a data analyst, but feel overwhelmed by the technical skills required, this "Become a Data Analyst: Excel, SQL & Tableau - 3-in-1 Bundle" course is designed for you. You'll learn Excel, SQL, and Tableau - the essential tools for data analysis - and develop the skills to turn raw data into insights that drive better business decisions.

In this course, you will:

  • Develop advanced Excel skills to manipulate and analyze data

  • Master SQL queries to extract data from databases

  • Create stunning data visualizations in Tableau to communicate insights

Learning these skills will allow you to excel as a data analyst, and open up new career opportunities. You'll practice real-world examples and complete hands-on exercises, so you can apply your new skills to real-world situations.

This course is different because it offers a comprehensive, 3-in-1 bundle approach that covers all of the key skills required to become a successful data analyst. The course is also taught in an engaging and easy-to-understand format, so you can learn at your own pace and confidently apply your skills in the workplace.

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

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 tools which are MS Excel, SQL, and Tableau. This will aid the students who have no prior coding background to learn and implement Analytics and Machine Learning concepts to actually solve real-world problems of Data 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 - SQL for data analytics

IN the second section, i.e. SQL for data analytics, we will be teaching you everything in SQL that you will need for Data analysis in businesses. We will start with basic data operations like creating a table, retrieving data from a table etc. Later on, we will learn advanced topics like subqueries, Joins, data aggregation, and pattern matching.

  • Part 3 - Data visualization using Tableau

In this section, you will learn how to develop stunning dashboards, visualizations and insights that will allow you to explore, analyze and communicate your data effectively. You will master key Tableau concepts such as data blending, calculations, and mapping. By the end of the course, you will be able to create engaging visualizations that will enable you to make data-driven decisions confidently.

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.

Don't let technical skills hold you back from pursuing a career in data analysis. Enroll now and start your journey towards becoming a data analyst.

Course Content

  • 58 section(s)
  • 277 lecture(s)
  • Section 1 Introduction
  • Section 2 Excel Basics
  • Section 3 Essential Excel functions
  • Section 4 Data Tools
  • Section 5 Formatting data and tables
  • Section 6 Pivot Tables
  • Section 7 Excel Charts
  • Section 8 Pivot Charts
  • Section 9 NEW! Analyze Data option in Excel - only for Microsoft 365 users
  • Section 10 Special purpose charts
  • Section 11 Named Ranges
  • Section 12 Excel Shortcuts
  • Section 13 Macros
  • Section 14 Advanced Excel
  • Section 15 Power Query, Power Pivot and DAX in Excel
  • Section 16 Copilot in Excel - only for Microsoft 365 subscribers
  • Section 17 Creative Infographics
  • Section 18 SQL
  • Section 19 Installation and getting started
  • Section 20 Case Study : Demo
  • Section 21 Fundamental SQL statements
  • Section 22 Restore and Back-up
  • Section 23 Selection commands: Filtering
  • Section 24 Selection commands: Ordering
  • Section 25 Alias
  • Section 26 Aggregate Commands
  • Section 27 Group By Commands
  • Section 28 Conditional Statement
  • Section 29 JOINS
  • Section 30 Subqueries
  • Section 31 Fun way to practice SQL
  • Section 32 Views and Indexes
  • Section 33 String Functions
  • Section 34 Mathematical Functions
  • Section 35 Date-Time Functions
  • Section 36 PATTERN (STRING) MATCHING
  • Section 37 Windows Functions
  • Section 38 COALESCE function
  • Section 39 Data Type conversion functions
  • Section 40 User Access Control functions
  • Section 41 Nail that Interview!
  • Section 42 Performance tuning tips
  • Section 43 Database Basics
  • Section 44 TABLEAU
  • Section 45 Installation and getting started
  • Section 46 Combining data to create Data model
  • Section 47 Data categorization in Tableau
  • Section 48 Most used charts
  • Section 49 Customizing charts using Marks shelf
  • Section 50 Other important charts
  • Section 51 Grouping and Filtering data
  • Section 52 Map chart in Tableau
  • Section 53 Calculations and Analytics
  • Section 54 Sets and Parameters
  • Section 55 Dashboard and Story
  • Section 56 Saving and Sharing your work
  • Section 57 Appendix
  • Section 58 Congratulations and about your certificate

What You’ll Learn

  • Discover the power of Excel and use it to manipulate and analyze data like a pro., Master SQL queries to extract, filter, and aggregate data from relational databases., Explore Tableau's interface and create stunning visualizations that communicate insights., Develop the skills to integrate data from multiple sources and create interactive dashboards in Tableau., Apply best practices for data cleaning, wrangling, and transformation in Excel and SQL, Create dynamic and automated reports in Tableau that update with new data., Use Excel and Tableau to identify trends, patterns, and outliers in data., Develop a data-driven mindset and use data to make informed business decisions., Apply critical thinking and problem-solving skills to data analysis challenges.

Reviews

  • M
    Mayor Elijah
    5.0

    Amazing

  • V
    Vishal Swami
    4.5

    Excellent content and practical exposure, with strong real-world relevance.

  • c
    christiana emmanuel
    5.0

    I totally enjoy everything, no reason to complain so far so good

  • R
    Rahul L C
    3.0

    Actually I intended to take this class is to gain full knowledge on SQL, that to I am Pharmacy background so i want Basic knowledge from SQL which help in future jobs for handling the Clinical trials data, in some Video like debugging and after that video there is no proper information shared because files i am not able to see and to extract the file and to do practice.

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