If I Were to Start My Data Science Career from Scratch, Here's What I Would Do 👇
1️⃣ Master Advanced SQL
Foundations: Learn database structures, tables, and relationships.
Basic SQL Commands: SELECT, FROM, WHERE, ORDER BY.
Aggregations: Get hands-on with SUM, COUNT, AVG, MIN, MAX, GROUP BY, and HAVING.
JOINs: Understand LEFT, RIGHT, INNER, OUTER, and CARTESIAN joins.
Advanced Concepts: CTEs, window functions, and query optimization.
Metric Development: Build and report metrics effectively.
2️⃣ Study Statistics & A/B Testing
Descriptive Statistics: Know your mean, median, mode, and standard deviation.
Distributions: Familiarize yourself with normal, Bernoulli, binomial, exponential, and uniform distributions.
Probability: Understand basic probability and Bayes' theorem.
Intro to ML: Start with linear regression, decision trees, and K-means clustering.
Experimentation Basics: T-tests, Z-tests, Type 1 & Type 2 errors.
A/B Testing: Design experiments—hypothesis formation, sample size calculation, and sample biases.
3️⃣ Learn Python for Data
Data Manipulation: Use pandas for data cleaning and manipulation.
Data Visualization: Explore matplotlib and seaborn for creating visualizations.
Hypothesis Testing: Dive into scipy for statistical testing.
Basic Modeling: Practice building models with scikit-learn.
4️⃣ Develop Product Sense
Product Management Basics: Manage projects and understand the product life cycle.
Data-Driven Strategy: Leverage data to inform decisions and measure success.
Metrics in Business: Define and evaluate metrics that matter to the business.
5️⃣ Hone Soft Skills
Communication: Clearly explain data findings to technical and non-technical audiences.
Collaboration: Work effectively in teams.
Time Management: Prioritize and manage projects efficiently.
Self-Reflection: Regularly assess and improve your skills.
6️⃣ Bonus: Basic Data Engineering
Data Modeling: Understand dimensional modeling and trade-offs in normalization vs. denormalization.
ETL: Set up extraction jobs, manage dependencies, clean and validate data.
Pipeline Testing: Conduct unit testing and ensure data quality throughout the pipeline.
I have curated the best interview resources to crack Data Science Interviews
👇👇
https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
Like if you need similar content 😄👍
1️⃣ Master Advanced SQL
Foundations: Learn database structures, tables, and relationships.
Basic SQL Commands: SELECT, FROM, WHERE, ORDER BY.
Aggregations: Get hands-on with SUM, COUNT, AVG, MIN, MAX, GROUP BY, and HAVING.
JOINs: Understand LEFT, RIGHT, INNER, OUTER, and CARTESIAN joins.
Advanced Concepts: CTEs, window functions, and query optimization.
Metric Development: Build and report metrics effectively.
2️⃣ Study Statistics & A/B Testing
Descriptive Statistics: Know your mean, median, mode, and standard deviation.
Distributions: Familiarize yourself with normal, Bernoulli, binomial, exponential, and uniform distributions.
Probability: Understand basic probability and Bayes' theorem.
Intro to ML: Start with linear regression, decision trees, and K-means clustering.
Experimentation Basics: T-tests, Z-tests, Type 1 & Type 2 errors.
A/B Testing: Design experiments—hypothesis formation, sample size calculation, and sample biases.
3️⃣ Learn Python for Data
Data Manipulation: Use pandas for data cleaning and manipulation.
Data Visualization: Explore matplotlib and seaborn for creating visualizations.
Hypothesis Testing: Dive into scipy for statistical testing.
Basic Modeling: Practice building models with scikit-learn.
4️⃣ Develop Product Sense
Product Management Basics: Manage projects and understand the product life cycle.
Data-Driven Strategy: Leverage data to inform decisions and measure success.
Metrics in Business: Define and evaluate metrics that matter to the business.
5️⃣ Hone Soft Skills
Communication: Clearly explain data findings to technical and non-technical audiences.
Collaboration: Work effectively in teams.
Time Management: Prioritize and manage projects efficiently.
Self-Reflection: Regularly assess and improve your skills.
6️⃣ Bonus: Basic Data Engineering
Data Modeling: Understand dimensional modeling and trade-offs in normalization vs. denormalization.
ETL: Set up extraction jobs, manage dependencies, clean and validate data.
Pipeline Testing: Conduct unit testing and ensure data quality throughout the pipeline.
I have curated the best interview resources to crack Data Science Interviews
👇👇
https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
Like if you need similar content 😄👍
👍2❤1🔥1
LEGEND Form Project 😅😀
-----------------------------------------------------
Complete Source Code 👇
-----------------------------------------------------
<html>
<head>
<style>
.outer{
margin:auto;
height:300px;
width:400px;
border:2px solid black;
position:relative
}
p{
margin-left:80px;
}
.in{
margin-left:80px;
padding:10px
}
#bt{
margin-top:20px;
position:absolute;
left:150px;
}
#bt:hover{
background:green;
font-size:13px;
cursor:pointer;
color:white;
}
</style>
<script>
function fa(){
if(a.value=="" || b.value==""){
f()
document.getElementById("a").style.border="3px solid red"
document.getElementById("b").style.border="3px solid red"
bt.value="Pahila data tak"
}
else{
document.getElementById("a").style.border="3px solid green"
document.getElementById("b").style.border="3px solid green"
bt.value="Ha thik ahe ata"
bt.style.left="120px";
}
}
flag=1
function f(){
if(flag==1){
bt.style.left="210px"
flag=2
}
else if(flag==2){
bt.style.left="80px"
flag=1
}
}
</script>
</head>
<body>
<div class="outer">
<h1 style="text-align:center">Legend form</h1>
<p>Enter Id</p>
<input class="in" type="text" placeholder="Enter id" id="a"/>
<p>Enter Confirm Pass</p>
<input class="in" type="password" placeholder="Enter password" id="b"/>
<br>
<input type="submit" onmouseenter="fa()" onclick="alert('waaaa')" id="bt" />
</div>
</body>
</html>
-----------------------------------------------------
Complete Source Code 👇
-----------------------------------------------------
<html>
<head>
<style>
.outer{
margin:auto;
height:300px;
width:400px;
border:2px solid black;
position:relative
}
p{
margin-left:80px;
}
.in{
margin-left:80px;
padding:10px
}
#bt{
margin-top:20px;
position:absolute;
left:150px;
}
#bt:hover{
background:green;
font-size:13px;
cursor:pointer;
color:white;
}
</style>
<script>
function fa(){
if(a.value=="" || b.value==""){
f()
document.getElementById("a").style.border="3px solid red"
document.getElementById("b").style.border="3px solid red"
bt.value="Pahila data tak"
}
else{
document.getElementById("a").style.border="3px solid green"
document.getElementById("b").style.border="3px solid green"
bt.value="Ha thik ahe ata"
bt.style.left="120px";
}
}
flag=1
function f(){
if(flag==1){
bt.style.left="210px"
flag=2
}
else if(flag==2){
bt.style.left="80px"
flag=1
}
}
</script>
</head>
<body>
<div class="outer">
<h1 style="text-align:center">Legend form</h1>
<p>Enter Id</p>
<input class="in" type="text" placeholder="Enter id" id="a"/>
<p>Enter Confirm Pass</p>
<input class="in" type="password" placeholder="Enter password" id="b"/>
<br>
<input type="submit" onmouseenter="fa()" onclick="alert('waaaa')" id="bt" />
</div>
</body>
</html>
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10 Coding Project Ideas to Boost Your Portfolio
✅ To-Do List App – Practice CRUD operations and UI/UX basics
✅ Weather App (API) – Learn to work with real-time APIs
✅ Blog Website – Build full-stack with auth, CMS, and comments
✅ Portfolio Website – Showcase your skills and projects professionally
✅ Expense Tracker – Handle forms, charts, and local storage
✅ Chat App – Real-time messaging using WebSockets or Firebase
✅ Movie Recommendation System – Intro to ML with collaborative filtering
✅ E-commerce Store – Simulate cart, checkout, payment logic
✅ SQL Dashboard with Power BI/Tableau – Combine backend + data viz skills
✅ AI Chatbot – Use NLP libraries like spaCy or transformers
Python Projects: https://whatsapp.com/channel/0029Vau5fZECsU9HJFLacm2a
ENJOY LEARNING 👍👍
✅ To-Do List App – Practice CRUD operations and UI/UX basics
✅ Weather App (API) – Learn to work with real-time APIs
✅ Blog Website – Build full-stack with auth, CMS, and comments
✅ Portfolio Website – Showcase your skills and projects professionally
✅ Expense Tracker – Handle forms, charts, and local storage
✅ Chat App – Real-time messaging using WebSockets or Firebase
✅ Movie Recommendation System – Intro to ML with collaborative filtering
✅ E-commerce Store – Simulate cart, checkout, payment logic
✅ SQL Dashboard with Power BI/Tableau – Combine backend + data viz skills
✅ AI Chatbot – Use NLP libraries like spaCy or transformers
Python Projects: https://whatsapp.com/channel/0029Vau5fZECsU9HJFLacm2a
ENJOY LEARNING 👍👍
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