A Data Scientist is like a detective who works with data instead of clues. Their job is to collect, clean, analyze, and interpret data to help companies make smart decisions.
📊 Key Roles & Responsibilities
📊 Key Roles & Responsibilities
Collecting Data
From websites, apps, sensors, databases, etc.
Example: Getting data on how customers use an app.
Cleaning Data
Removing duplicate, missing, or incorrect entries.
Like making sure the data is usable and correct.
Analyzing Data
Using statistical tools (like Excel, Python, R)
Finding trends and patterns.
Example: “Most customers buy on weekends.”
Building Models (AI/ML)
Predicting future outcomes using Machine Learning.
Example: Predicting which customers might cancel a subscription.
Communicating Results
Making dashboards, charts, and reports.
Explaining to management in a simple way.
💻 Skills Required
🏢 Where Do Data Scientists Work?
IT & Software Companies
E-commerce (like Amazon, Flipkart)
Finance & Banking
Healthcare
Manufacturing
Government (Smart Cities, Crime Data)
💸 Salary Range (India)
(Abroad, starting salary can be $70,000+ per year)
🎯 How to Get into Data Science?
Learn Python, SQL, and basic stats.
Take online courses (Coursera, Udemy, edX).
Do mini-projects with real-world data.
Build a portfolio (GitHub, LinkedIn).
Apply for internships or junior analyst roles.
📌 Example Project Ideas
Predict house prices in your city
Analyze Twitter sentiment about a product
Forecast sales using past data
From websites, apps, sensors, databases, etc.
Example: Getting data on how customers use an app.
Cleaning Data
Removing duplicate, missing, or incorrect entries.
Like making sure the data is usable and correct.
Analyzing Data
Using statistical tools (like Excel, Python, R)
Finding trends and patterns.
Example: “Most customers buy on weekends.”
Building Models (AI/ML)
Predicting future outcomes using Machine Learning.
Example: Predicting which customers might cancel a subscription.
Communicating Results
Making dashboards, charts, and reports.
Explaining to management in a simple way.
💻 Skills Required
Skill | Purpose |
---|---|
Python / R | Programming languages for analysis |
SQL | For accessing databases |
Excel / Tableau / Power BI | For data visualization |
Machine Learning | For building predictive models |
Communication | To explain data clearly to others |
🏢 Where Do Data Scientists Work?
IT & Software Companies
E-commerce (like Amazon, Flipkart)
Finance & Banking
Healthcare
Manufacturing
Government (Smart Cities, Crime Data)
💸 Salary Range (India)
Experience Level | Monthly Salary |
---|---|
Entry-Level (0–2 yrs) | ₹40,000 – ₹80,000 |
Mid-Level (2–5 yrs) | ₹80,000 – ₹1.5L |
Senior (5+ yrs) | ₹1.5L – ₹4L+ |
🎯 How to Get into Data Science?
Learn Python, SQL, and basic stats.
Take online courses (Coursera, Udemy, edX).
Do mini-projects with real-world data.
Build a portfolio (GitHub, LinkedIn).
Apply for internships or junior analyst roles.
📌 Example Project Ideas
Predict house prices in your city
Analyze Twitter sentiment about a product
Forecast sales using past data
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