New Course

The Complete Roadmap to Data Analyst

Learn what it really takes to become a job-ready Data Analyst

Discover how Kanav cracked his first data analyst role after 3 years of trial and error — and how you can follow his proven path to land your job in just 3 months.

Your Journey – From Learning to Earning

Your Journey From Learning to Earning

Step 1

Get 3 Welcome Emails

Course Access, Microsoft 365 Login, Job Portal Link

Step 2

Start Learning

50+ hours of video modules + live mentorship

Step 3

Take the Quiz

Prove you’re ready to explore real job listings

Step 4

Browse Real Jobs

Access our exclusive job portal curated for analysts

Step 5

Mock Interview with AI

Get personalized questions, feedback & scorecard, Prepare Till you are not ready

Step 6

Send to Recruiters

If you pass, we forward your full report to hiring managers

Woohoo!

Final Step – Get Hired

We don’t just teach — we take you to the finish line.

50+ Hours

Full of videos, assignments, and hands-on material.

Live Q&A

Real-time mentorship and direct interaction.

Job Access + Mock Interviews

Unlock the job portal after quiz & get AI-powered mock interviews with feedback.

14-Day Refund

100% money back. No questions asked.

Course Description

Opportunities in data analytics have never been greater — but finding real guidance is harder than ever.

This course is your shortcut to a job-ready profile, designed for:

  • Beginners, career switchers & aspiring analysts.
  • People tired of learning random tools with no end goal.


Led by Kanav Taneja (15+ years in analytics), this step-by-step program walks you through:

  • Core concepts & must-know tools
  • Real-world project experience
  • Building your recruiter-ready portfolio
  • Live mentorship, AI mock interviews, and job access
Data Analyst

From learning to earning — everything is covered.

What Tools you will Learn :

Excel

Advanced functions, visualizations, dashboards

VBA

Automate tasks and build tools that save time

Power BI

Build dynamic dashboards and reports

SQL

Handle complex queries and manage real datasets

Python

Clean, analyze, and visualize data like a pro

Course Curriculum

Introduction to Excel

  • Text Functions
  • Logical Functions
  • Freeze Panes
  • Lookup Functions
  • Advanced Excel
  • Charts
  • Pivot Tables

Formulas in Excel

  • Formulas Rule
  • Name manager
  • Lock Cells
  • refer Other worksheets & Books
  • Circular Reference

Advanced Formulas

  • Vlookup
  • Index & Match
  • Address
  • Offset
  • Power Functions

Logical Functions

  • errors
  • If & Logical
  • Indirect
  • Data Validation

Advanced Excel

  • Offset
  • Indirect & Offset together
  • Sorting
  • Filters
  • Pivot Tables
  • Conditional Formatting
  • Charts

INTRODUCTION to VBA 

  • VBA Environment
  • Introduction to Object Model
  • File Types & Object Model
  • Object Model

Your First Macro!

  • Record A Macro
  • Object Library & VBE
  • Special Cells
  • Absolute Vs Relative reference
  • Trigger Macro
  • Reference Cells

VBA Properties

  • Most Used Properties
  • Use of range proprties
  • Copy & resize Properties
  • Reference Worksheets
  • Reference Workbooks

LOOPS & Conditions

  • For each Loop Collections
  • Simple IF
  • IF And OR Clause
  • Nested If Clause
  • VBA Functions & Exit Sub

Advanced VBA

  • MsgBox
  • VBA Input Box
  • Excel Input Box
  • Debugging The Code
  • Error handling
  • Calling Procedures

Dir & Folders

  • Working with DIR & Folders
  • FileDialog Loop
  • Workbook Events
  • Worksheet Event

Final Splitwise project With VBA

  • Projetc Expense Sharing
  • Project Explaination
  • Project Solution

 

 

Introduction to Databases and SQL

  • Why learn SQL and MySQL?
  • Overview of databases

SQL Fundamentals

  • SQL as a declarative language
  • Key components:
    • Data Definition Language (DDL)
    • Data Manipulation Language (DML)
    • Data Control Language (DCL)
    • Transaction Control Language (TCL)
  • Common SQL keywords

Database Basics

  • Relational database concepts
  • Databases vs spreadsheets
  • Key terminologies:
    • Primary, Foreign, and Unique keys
    • Null values and relationships

Getting Started with SQL

  • Setting up a database
  • Understanding SQL files and data types:
    • Strings, Integers, Floating-point, and other types
  • Creating and using tables

MySQL Constraints

  • Primary Key
  • Foreign Key
  • Unique
  • Default
  • Not Null

SQL Queries

 

Select Statement

  • Basic queries: SELECT, FROM, WHERE
  • Logical operators: AND, OR, IN, NOT IN
  • Wildcards and pattern matching: LIKE, NOT LIKE
  • Filters: BETWEEN, IS NULL, IS NOT NULL
  • Comparison operators
  • Distinct rows and aliases
  • Aggregate functions introduction
  • Sorting (ORDER BY), grouping (GROUP BY), and filtering (HAVING)
  • Limits and differences: WHERE vs HAVING

Insert Statement

  • Adding data to tables

Update Statement

  • Updating data with COMMIT and ROLLBACK

Delete Statement

  • Deleting data: DELETE, DROP, TRUNCATE, and differences

Aggregate Functions

  • COUNT, SUM, MIN, MAX, AVG
  • Handling nulls: ISNULL and COALESCE

SQL Joins

  • Types of joins:
    • Inner, Left, Right, and Cross Joins
    • Self Joins
    • Joining multiple tables
  • Aggregate functions with joins
  • UNION vs UNION ALL

SQL Subqueries

  • Subqueries in WHERE, SELECT, and FROM

Advanced SQL

    • Views and Indexes
    • Conditional logic: CASE statement
    • Triggers in MySQL
    • Ranking functions: ROW_NUMBER, RANK

Chart Types & Visualizations in Power BI

  1. Dashboard vs Reports
  2. Dashboard Design Basics
  3. Bar, Line, and Stacked Bar Charts
  4. Histograms and Heat Maps
  5. Tree Maps and Bullet Graphs
  6. Combo and Scatter Plots
  7. Cross-Tabs and Overlapping Bar Charts
  8. Box Plots and Waterfall Charts
  9. Single-Value Visuals and Column Charts
  10. Power Platform Visuals
  11. Live Reports and Mobile Dashboards
  12. Formatting Visualizations
  13. Table & Matrix Visuals
  14. Using Bookmarks, Annotations, Titles, and Tooltips
  15. Editing Axes

Data Management with Power Query

  1. Planning Power BI Projects
  2. Combining, Cleaning, and Transforming Data in Power Query
  3. Automating Queries with Parameters & Functions

Data Analysis with DAX & Power Pivot

  1. DAX Essentials and Deep Dive
  2. Power Pivot Basics
  3. Calculation Groups, Dynamic Measures, and Row-Level Security
  4. Time Intelligence Patterns in Power BI
  5. Performance Testing and Optimization

Storytelling with Power BI

  1. Report Tooltips and Conditional Formatting
  2. Text Commentary with DAX
  3. Play Axis for Scatter & Pulse Charts
  4. Analytics Pane and Quick Insights
  5. Dimensional Modeling with Power Query
  6. Generating Calendar Tables
  7. Reference vs. Duplicate Queries
  8. Data Modeling with Multiple Fact Tables
  9. Measure Development and Dashboard Design

Executive Dashboard I

  1. Report Goals & Design
  2. Data Modeling and Measure Creation
  3. KPIs, Forecasts, and Business Views
  4. Finance View with What-If Analysis

Executive Dashboard II

  1. Creating a Timeline of Funded Amounts
  2. Sector Bar Chart and Gender Pie Chart
  3. Filter and Highlight Actions
  4.  

Python Basics

  • Python variables
  • Data Type
  • Anaconda AI
  • Python Syntax
  • Operator
  • Conditional Statements
  • Defining a Function
  • Python Sequences [LIST]
  • Python Sequences [Dictionaries]
  • For Loop
  • Conditional Statements + Loops
  • Defining a Function With Dictionaries

Python Coding Fundamentals

  • Object Oriented Programming (OOP)
  • Modules, Packages, Python Standard Libraries
  • Using Numpy & Pandas
  • Python Documentation

Numpy For Python

  • The NumPy Package and Why We Use It
  • Ndarray
  • The NumPy Documentation
  • NumPy Basics – Exercise
  • Numpy Fundamentals

  • Assigning Values in NumPy
  • Elementwise Properties of Arrays
  • Types of Data Supported by NumPy
  • Characteristics of NumPy Functions

Pandas For Python

  • Introduction to pandas Series
  • Working with Attributes in Python
  • Using an Index in pandas
  • Using Methods in Python – Part I
  • Introduction to pandas DataFrames

Working With Arrays

  • Basic Slicing in NumPy
  • Stepwise Slicing in NumPy
  • Conditional Slicing in NumPy
  • Dimensions and the Squeeze Function
  • Working with Arrays – Exercise

Statistics With Numpy

  • Using Statistical Functions in NumPy
  • Minimal and Maximal Values in NumPy
  • Statistical Order Functions in NumPy
  • Averages and Variance in NumPy
  • Histograms in NumPy
  • NAN Equivalent Functions in NumPy

Python Projects

  • A Loan Data Excercise Using Numpy
  • Manipulating Numeric Data: Substitute Filler

Data Visualization Maplotlib

  • What Is Data Visualization and Why Is It Important?
  • Introduction into Colors and Color Theory
  • Bar Chart – Introduction – General Theory
  • Pie Chart – Interpreting the Pie Chart
  • Line Chart – Interpretation

 

AI Mock Interviews – Practice Like It’s Real

When you’re done learning, the real magic begins.
Our exclusive AI-powered mock interview engine doesn’t just throw random questions — it reads your resume, understands the job role, and generates hyper-relevant questions tailored to you.

You’ll even get a downloadable PDF report to showcase your strengths (and improve your weaknesses).

This is how we turn knowledge into confidence.

Bonus: Your course comes with 5 free interview credits.

Get a Glimpse of What You’ll Learn!

Take a sneak peek at the transformative insights and skills waiting for you in this course.

What's Included in this Course :

What Our Students Says

Meet Your Mentor

Kanav Taneja is a seasoned professional with a passion for analytics, mentorship, and helping others achieve their dreams. With over 15 years of experience in the analytics field, he has guided more than 1,000 professionals to upskill, transition into data-driven roles, and succeed in their careers.

Kanav Taneja

— Analytics Manager | Mentor | Trainer
15+ years in analytics | Trained 1,000+ professionals

Who Should take this Course

Career Switchers

From non-tech to data-driven careers

Aspiring Analysts

Freshers & grads building a strong start

Working Professionals

Upskill & accelerate

Students

Build a portfolio before you graduate

Problem-Solvers

Anyone passionate about data

Get 100% Refund,

No Questions Asked!

Not satisfied? Cancel within 14 days for a full refund.

  • If at all you are unhappy with this course, you can cancel anytime within 14 days of purchase and get a full refund.
  • No awkward questions or complicated ‘Terms and Conditions’ applied.
  • Just send an email on admin@theknwolwedgecastle.com & your purchase will be cancelled. The money will be refunded within a few hours.

Frequently Asked Questions

Q1. How will this course benefit my career?

This course is a complete roadmap to building a successful career in data analytics. You’ll gain:

  • In-Demand Skills: Master the tools and techniques top companies are looking for, such as Excel, Power BI, SQL, and Python.
  • Job-Ready Expertise: Build a portfolio of hands-on projects that demonstrate your skills to potential employers.
  • Personalized Career Support: Get mock interview practice, resume reviews, and career coaching to give you a competitive edge.
  • Job Placement Opportunities: Our recruiter network connects you with real job opportunities once you clear the assessments.
  • Lifelong Learning: Access resources and updates for life to stay ahead in your career.

Whether you’re looking to transition into analytics or take your career to the next level, this course gives you the tools, guidance, and support to succeed.

We offer a 14-day refund period. If you’re not satisfied with the course within the first 14 days of your subscription, you can cancel with no penalty. After this period, we do not provide refunds, but you can cancel your subscription at any time.

Yes, this course is 100% online. There’s no need to attend any in-person classes. You can access your lectures, readings, and assignments at your convenience via the web or your mobile device.

The course content itself includes over 50 hours of in-depth training. However, to truly master the material and succeed as a data analyst, we strongly recommend dedicating at least 2 hours daily to practicing and learning the concepts over the course of 3 months. Consistency and hands-on practice are key to building the skills and confidence needed to excel in this field.

This course is designed to not only teach you the skills needed to become a data analyst but also to provide you with the support and resources to land your first job. Here’s what you’ll gain:

  • Master Industry-Ready Skills: Learn essential tools like Excel, VBA, Power BI, SQL, and Python through hands-on projects and real-world applications.
  • Job-Ready Portfolio: Build a portfolio showcasing your expertise to impress potential employers.
  • Career Guidance: Receive mock interview practice, resume support, and career coaching to help you stand out.
  • Recruiter Assistance: Get access to job opportunities through our network of recruiters once you clear our assessments.
  • Lifetime Access: Revisit course materials anytime with 24/7 lifetime access to resources and support.
  • Community Support: Join a thriving network of data enthusiasts to learn, grow, and collaborate.

With our proven roadmap and job placement support, this course ensures you’re not just learning—you’re building a future in data analytics.

Yes, our course is designed to accommodate students of all levels. We provide comprehensive explanations of all concepts covered and offer hands-on experience to ensure that students are able to develop the skills needed to succeed in the data analytics industry.

We provide 24/7 lifetime access and support. You can reach out to our support team at query@theknowledgecastle.com any time for assistance or to resolve any queries you may have.

The course fee covers all course materials, access to instructors, hands-on projects, certification, and exclusive benefits such as a Power BI license and a discount on Power BI certification.

You’ll receive dedicated support throughout the course, including:

  • Live Doubt-Clearing Sessions: Join live classes every 2 Saturday in a month to clarify your doubts and gain deeper insights on specific topics.
  • Community Collaboration: Connect with fellow students in our exclusive community to collaborate, share ideas, and learn from each other.
  • 24/7 Access to Resources: Get lifetime access to course materials and resources for continuous learning.

We’re here to ensure you succeed every step of the way!

Yes, you’ll have lifetime access to the course materials, allowing you to revisit and review the content even after you’ve completed the course. This ensures that you can continue to reference the materials as you advance in your career.

We regularly update our course materials to keep pace with industry trends and advancements. You can rest assured that you’ll be learning the latest techniques and technologies in data analytics.

Yes, we foster a strong sense of community among our students. You’ll have the opportunity to engage with fellow learners through forums, discussions, and networking events, creating valuable connections in the field of data analytics.

Yes, you’ll need access to Power BI and SQL Server to complete the course. Don’t worry; we provide detailed instructions on downloading and installing these programs, and our technical support team is available to assist with any installation issues.

Our course not only provides in-depth technical knowledge but also emphasizes practical application. You’ll work on real-world projects and gain hands-on experience, making you job-ready upon completion. Additionally, our exclusive benefits, including a complimentary Power BI license and a discount on certification, add substantial value to your learning experience.

Whether you’re looking to enhance your skills in your current role or transition to a new career, this course equips you with data analytics capabilities that are highly sought after across industries. You’ll be better equipped to make data-driven decisions, automate tasks, and create actionable insights, which can significantly benefit your current job or future prospects.

Let's Talk