$4.99

Data Toolkit - CheatSheet Bundle & Solved Interview Questions for SQL, Pandas, Python,Pyspark, DAX, Stats

Buy this

Data Toolkit - CheatSheet Bundle & Solved Interview Questions for SQL, Pandas, Python,Pyspark, DAX, Stats

$4.99

Data Toolkit: 10+ CheatSheet Bundle & 100+ Solved Interview Questions for SQL, Pandas, Python,Pyspark, DAX, Stats & More

⚡️ All-In-One Interview & Cheat Sheet Pack for Data Professionals - SQL, Python, Power BI, DAX, Pandas, PySpark, GIT & Stats [25+ pdf's]

🚀 Become Job-Ready. Interview-Ready. Project-Ready.

👉 Thousands of analysts use cheat sheets daily. Get yours in one click-no fluff, just value. For those who are:

Struggling with SQL joins, Pandas syntax, Python, PySpark, Analytics or Power BI DAX before interviews?

Tired of flipping between Stack Overflow, ChatGPT, and tutorials during live tasks or take-home assignments?

This all-in-one data cheat sheet bundle was built for you — whether you're prepping for a data analyst job interview, building dashboards, writing code, or making the leap into analytics.

✅ What’s Included (25+ PDFs and Bonuses)

🔹 Coding CheatSheets:

Python Cheat Sheet – lists, loops, functions, file handling, built-ins

SQL Cheat Sheet – joins, filters, aggregations, subqueries, DDL/DML

Pandas Cheat Sheet – filtering, merging, reshaping, pivoting

PySpark Cheat Sheet – lazy eval, transformations, DataFrames

Power BI Cheat Sheet – report visuals, modeling, filters, slicers

GIT Cheat Sheet - Essential GIT commands

ML & Stats - Stats & Machine Learning Essentials

DAX Cheat Sheet – CALCULATE, FILTER, time intelligence

We also have :-

🔹 Interview Theory Sheets:

Python Interview Q&A – data types, functions, packages, best practices

SQL Interview Q&A – window functions, ACID, joins, indexing

Advanced SQL – CTEs, upserts, triggers, merge, JSON, pivots

Statistics & Analytics – A/B testing, regressions, distributions, p-values

Machine Learning – models, overfitting, feature selection, bias/variance

🔹 Interview Practical Sheets:

Python Solved Q&A – Beginner, Intermediate and Advanced level questions

SQL Solved Q&A – Beginner, Intermediate and Advanced level questions

Pandas Solved Q&A – Beginner, Intermediate and Advanced level questions

PySpark Solved Q&A – Beginner, Intermediate and Advanced level questions

DAX Solved Q&A – Beginner, Intermediate and Advanced level questions

ScreenShots :

Cheatsheet Bundle (Sample) :-

Interview Bundle (Sample) :-


What's more ?

🎁 BONUS PDFs:

✅ Most Asked SQL Interview Questions (With Answers)

✅ Most Asked Python Interview Questions (With Answers)

👥 Who Should Use This?

✅ Data Analysts / BI Analysts

✅ Data Engineers / Business Analysts

✅ Career Switchers from Non-Tech to Tech

✅ Students preparing for internships & placements

✅ Professionals prepping for FAANG, startups, MNCs

🧠 Why This Bundle Stands Out:

🔥 Actionable content – Real-world examples, not just syntax

🎨 Dark Mode PDF Design – Easy on eyes, perfect for printing

💼 Built by working analysts – For real interview & project needs

🖨️ Print-Ready Format – Use as desk reference or during take-home tests

📥 Instant Download + Lifetime Access – Always available when you need it

🧠 Can be used as :

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📂 What You’ll Receive:

10+ professionally designed PDF cheatsheets

Bonus: Interview-style SQL, Pandas, Pyspark, DAX & Python question banks

Lifetime access to all downloads and future updates

Confidence for interviews, dashboards, and real-world projects

🎯 Ready to stop guessing and start mastering?

🎁 Grab the bundle and prep like a pro.

Buy this
9 sales

Sick of jumping between tabs, tutorials, and scattered notes? This sleek bundle gives you crystal-clear solved question and answers and cheatsheets for Python, SQL, Pandas, PySpark, Power BI, DAX, Statistics, GIT and Machine Learning — built to help you land the job, level up fast, and never second-guess your syntax or theory again

Size
2.98 MB

No refunds allowed

🔒 Due to the instantly downloadable and printable nature of this product, all sales are final and non-refundable.

Last updated Apr 19, 2025