Very common doubt ‼️
Complete Python topics required for the Data Analyst role:
➡️ Basics of Python:
Python Syntax
Data Types
Lists
Tuples
Dictionaries
Sets
Variables
Operators
Control Structures:
if-elif-else
Loops
Break & Continue try-except block
Functions
Modules & Packages
Then jump to data analytics python libraries-
➡️ Pandas:
What is Pandas & imports?
Pandas Data Structures (Series, DataFrame, Index)
Working with DataFrames:
-> Creating DFs
-> Accessing Data in DFs Filtering & Selecting Data
-> Adding & Removing Columns
-> Merging & Joining in DFs
-> Grouping and Aggregating Data
-> Pivot Tables
Input/Output Operations with Pandas:
-> Reading & Writing CSV Files
-> Reading & Writing Excel Files
-> Reading & Writing SQL Databases
-> Reading & Writing JSON Files
-> Reading & Writing - Text & Binary Files
➡️ Numpy:
What is NumPy & imports?
NumPy Arrays
NumPy Array Operations:
Creating Arrays
Accessing Array Elements
Slicing & Indexing
Reshaping, Combining & Arrays
Arithmetic Operations
Broadcasting
Mathematical Functions
Statistical Functions
Hope this helps you 🙏
#powerbi #python #pandas #numpy #dataanalytics
Complete Python topics required for the Data Analyst role:
➡️ Basics of Python:
Python Syntax
Data Types
Lists
Tuples
Dictionaries
Sets
Variables
Operators
Control Structures:
if-elif-else
Loops
Break & Continue try-except block
Functions
Modules & Packages
Then jump to data analytics python libraries-
➡️ Pandas:
What is Pandas & imports?
Pandas Data Structures (Series, DataFrame, Index)
Working with DataFrames:
-> Creating DFs
-> Accessing Data in DFs Filtering & Selecting Data
-> Adding & Removing Columns
-> Merging & Joining in DFs
-> Grouping and Aggregating Data
-> Pivot Tables
Input/Output Operations with Pandas:
-> Reading & Writing CSV Files
-> Reading & Writing Excel Files
-> Reading & Writing SQL Databases
-> Reading & Writing JSON Files
-> Reading & Writing - Text & Binary Files
➡️ Numpy:
What is NumPy & imports?
NumPy Arrays
NumPy Array Operations:
Creating Arrays
Accessing Array Elements
Slicing & Indexing
Reshaping, Combining & Arrays
Arithmetic Operations
Broadcasting
Mathematical Functions
Statistical Functions
Hope this helps you 🙏
#powerbi #python #pandas #numpy #dataanalytics
Very common doubt ‼️
Complete Python topics required for the Data Analyst role:
➡️ Basics of Python:
Python Syntax
Data Types
Lists
Tuples
Dictionaries
Sets
Variables
Operators
Control Structures:
if-elif-else
Loops
Break & Continue try-except block
Functions
Modules & Packages
Then jump to data analytics python libraries-
➡️ Pandas:
What is Pandas & imports?
Pandas Data Structures (Series, DataFrame, Index)
Working with DataFrames:
-> Creating DFs
-> Accessing Data in DFs Filtering & Selecting Data
-> Adding & Removing Columns
-> Merging & Joining in DFs
-> Grouping and Aggregating Data
-> Pivot Tables
Input/Output Operations with Pandas:
-> Reading & Writing CSV Files
-> Reading & Writing Excel Files
-> Reading & Writing SQL Databases
-> Reading & Writing JSON Files
-> Reading & Writing - Text & Binary Files
➡️ Numpy:
What is NumPy & imports?
NumPy Arrays
NumPy Array Operations:
Creating Arrays
Accessing Array Elements
Slicing & Indexing
Reshaping, Combining & Arrays
Arithmetic Operations
Broadcasting
Mathematical Functions
Statistical Functions
Hope this helps you 🙏
#powerbi #python #pandas #numpy #dataanalytics
Complete Python topics required for the Data Analyst role:
➡️ Basics of Python:
Python Syntax
Data Types
Lists
Tuples
Dictionaries
Sets
Variables
Operators
Control Structures:
if-elif-else
Loops
Break & Continue try-except block
Functions
Modules & Packages
Then jump to data analytics python libraries-
➡️ Pandas:
What is Pandas & imports?
Pandas Data Structures (Series, DataFrame, Index)
Working with DataFrames:
-> Creating DFs
-> Accessing Data in DFs Filtering & Selecting Data
-> Adding & Removing Columns
-> Merging & Joining in DFs
-> Grouping and Aggregating Data
-> Pivot Tables
Input/Output Operations with Pandas:
-> Reading & Writing CSV Files
-> Reading & Writing Excel Files
-> Reading & Writing SQL Databases
-> Reading & Writing JSON Files
-> Reading & Writing - Text & Binary Files
➡️ Numpy:
What is NumPy & imports?
NumPy Arrays
NumPy Array Operations:
Creating Arrays
Accessing Array Elements
Slicing & Indexing
Reshaping, Combining & Arrays
Arithmetic Operations
Broadcasting
Mathematical Functions
Statistical Functions
Hope this helps you 🙏
#powerbi #python #pandas #numpy #dataanalytics
🌟 Exciting Opportunity Alert: Data Analyst Role in Pune! 🚀
Are you a seasoned Data Analyst with 3+ years of experience? 📊✨
Location - Pune
Key Skills - Python+SQL+Pandas+Numpy+Pyspark
Join dynamic team at KPMG India and make an impact with your expertise in:
Python 🐍 + SQL 📊 + Pandas 🐼 + NumPy 🧮 + PySpark ⚡
Analyzing large datasets to drive actionable insights 📈
Building robust data pipelines and optimizing data storage 🛠️
Collaborating across teams to enhance data infrastructure 🤝
If you're passionate about transforming data into strategic insights and thrive in a collaborative environment, we want to hear from you! 🌐
Drop a message or tag someone who fits this profile!
Let's shape the future of data together. 🌍💡
https://www.linkedin.com/jobs/search/?currentJobId=3964220259&geoId=102713980&keywords=data%20analyst&origin=JOBS_HOME_LOCATION_HISTORY&refresh=true
#DataAnalytics #Python #SQL #Pandas #PySpark #DataDrivenDecisions #KPMG #PuneJobs #DataJobs #dataanalyst
Are you a seasoned Data Analyst with 3+ years of experience? 📊✨
Location - Pune
Key Skills - Python+SQL+Pandas+Numpy+Pyspark
Join dynamic team at KPMG India and make an impact with your expertise in:
Python 🐍 + SQL 📊 + Pandas 🐼 + NumPy 🧮 + PySpark ⚡
Analyzing large datasets to drive actionable insights 📈
Building robust data pipelines and optimizing data storage 🛠️
Collaborating across teams to enhance data infrastructure 🤝
If you're passionate about transforming data into strategic insights and thrive in a collaborative environment, we want to hear from you! 🌐
Drop a message or tag someone who fits this profile!
Let's shape the future of data together. 🌍💡
https://www.linkedin.com/jobs/search/?currentJobId=3964220259&geoId=102713980&keywords=data%20analyst&origin=JOBS_HOME_LOCATION_HISTORY&refresh=true
#DataAnalytics #Python #SQL #Pandas #PySpark #DataDrivenDecisions #KPMG #PuneJobs #DataJobs #dataanalyst
Linkedin
108,000+ Data Analyst jobs in India (4,885 new)
Today’s top 108,000+ Data Analyst jobs in India. Leverage your professional network, and get hired. New Data Analyst jobs added daily.
🚀 Master Python from Scratch! 🚀
1. Setup and Basics 🏁
- Install Python 🖥️: Download and set it up.
- Hello, World! 🌍: Your first program!
2. Basic Syntax 📜
- Variables and Data Types 📊: Strings, integers, floats, booleans.
- Control Structures 🔄: If-else, loops.
- Functions 🛠️: Write reusable code blocks.
3. Data Structures 📂
- Lists 📋: Manage collections.
- Dictionaries 📖: Key-value pairs.
- Tuples 📦: Immutable sequences.
- Sets 🔢: Unique items.
4. Modules and Packages 📦
- Standard Library 📚: Built-in modules.
- Third-Party Packages 🌐: Use pip to install.
5. File Handling 📁
- Read and Write Files 📝
- CSV and JSON 📑
6. Object-Oriented Programming 🧩
- Classes and Objects 🏛️
- Inheritance and Polymorphism 👨👩👧
7. Web Development 🌐
- Flask 🍼: Start with a micro framework.
- Django 🦄: Full-fledged framework.
8. Data Science and Machine Learning 🧠
- NumPy 📊: Numerical operations.
- Pandas 🐼: Data analysis.
- Matplotlib 📈 & Seaborn 📊: Visualization.
- Scikit-learn 🤖: Machine learning.
9. Automation and Scripting 🤖
- Automate Tasks 🛠️
- APIs 🌐: Interact with web services.
10. Testing and Debugging 🐞
- Unit Testing 🧪
- Efficient Debugging 🔍
11. Advanced Topics 🚀
- Concurrency and Parallelism 🕒
- Decorators 🌀 and Generators ⚙️
- Web Scraping 🕸️: Using BeautifulSoup and Scrapy.
12. Practice Projects 💡
- Calculator 🧮
- To-Do List App 📋
- Weather App ☀️
- Personal Blog 📝
13. Community and Collaboration 🤝
- Contribute to Open Source 🌍
- Join Coding Communities 💬
- Participate in Hackathons 🏆
14. Keep Learning and Improving 📈
- Read Books 📖: "Automate the Boring Stuff with Python".
- Watch Tutorials 🎥: Follow courses.
- Solve Challenges 🧩: LeetCode, HackerRank, CodeWars.
15. Teach and Share Knowledge 📢
- Write Blogs ✍️
- Create Video Tutorials 📹
- Mentor Others 👨🏫
👉 lets discuss below
Hope you find this helpful! Like this post for more resources like this! 👍❤️
#dataanalyst #python #sql #numpy #pandas #tupple #sets #learning
1. Setup and Basics 🏁
- Install Python 🖥️: Download and set it up.
- Hello, World! 🌍: Your first program!
2. Basic Syntax 📜
- Variables and Data Types 📊: Strings, integers, floats, booleans.
- Control Structures 🔄: If-else, loops.
- Functions 🛠️: Write reusable code blocks.
3. Data Structures 📂
- Lists 📋: Manage collections.
- Dictionaries 📖: Key-value pairs.
- Tuples 📦: Immutable sequences.
- Sets 🔢: Unique items.
4. Modules and Packages 📦
- Standard Library 📚: Built-in modules.
- Third-Party Packages 🌐: Use pip to install.
5. File Handling 📁
- Read and Write Files 📝
- CSV and JSON 📑
6. Object-Oriented Programming 🧩
- Classes and Objects 🏛️
- Inheritance and Polymorphism 👨👩👧
7. Web Development 🌐
- Flask 🍼: Start with a micro framework.
- Django 🦄: Full-fledged framework.
8. Data Science and Machine Learning 🧠
- NumPy 📊: Numerical operations.
- Pandas 🐼: Data analysis.
- Matplotlib 📈 & Seaborn 📊: Visualization.
- Scikit-learn 🤖: Machine learning.
9. Automation and Scripting 🤖
- Automate Tasks 🛠️
- APIs 🌐: Interact with web services.
10. Testing and Debugging 🐞
- Unit Testing 🧪
- Efficient Debugging 🔍
11. Advanced Topics 🚀
- Concurrency and Parallelism 🕒
- Decorators 🌀 and Generators ⚙️
- Web Scraping 🕸️: Using BeautifulSoup and Scrapy.
12. Practice Projects 💡
- Calculator 🧮
- To-Do List App 📋
- Weather App ☀️
- Personal Blog 📝
13. Community and Collaboration 🤝
- Contribute to Open Source 🌍
- Join Coding Communities 💬
- Participate in Hackathons 🏆
14. Keep Learning and Improving 📈
- Read Books 📖: "Automate the Boring Stuff with Python".
- Watch Tutorials 🎥: Follow courses.
- Solve Challenges 🧩: LeetCode, HackerRank, CodeWars.
15. Teach and Share Knowledge 📢
- Write Blogs ✍️
- Create Video Tutorials 📹
- Mentor Others 👨🏫
👉 lets discuss below
Hope you find this helpful! Like this post for more resources like this! 👍❤️
#dataanalyst #python #sql #numpy #pandas #tupple #sets #learning
👍1
Practice will make you interview ready!! So, use below mentioned sites for #SQL & #Python practice for Data/Business/Product Analysts interviews -
For Python or Pandas -
1. https://lnkd.in/gHCNqqiY
2. https://lnkd.in/gUwMXyUk
3. https://lnkd.in/g7mYVbbc
4. https://lnkd.in/gMaaeQna
5. https://lnkd.in/gkXn-3R6
6. https://lnkd.in/er_bBtRY
For SQL -
1. https://datalemur.com/
2. https://leetcode.com/
3. https://sqlpad.io/
4. https://mode.com/
5. https://lnkd.in/eRCPSmEz
6. https://lnkd.in/eMggeJFV
7. https://lnkd.in/er_bBtRY
Keep growing ☺️👍👍
For Python or Pandas -
1. https://lnkd.in/gHCNqqiY
2. https://lnkd.in/gUwMXyUk
3. https://lnkd.in/g7mYVbbc
4. https://lnkd.in/gMaaeQna
5. https://lnkd.in/gkXn-3R6
6. https://lnkd.in/er_bBtRY
For SQL -
1. https://datalemur.com/
2. https://leetcode.com/
3. https://sqlpad.io/
4. https://mode.com/
5. https://lnkd.in/eRCPSmEz
6. https://lnkd.in/eMggeJFV
7. https://lnkd.in/er_bBtRY
Keep growing ☺️👍👍
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
❤3👍3
🚀 Exciting Opportunity! 🚀
Spectral Consultant is Hiring DataAnalyst
📍 Location: Gurgaon | 💼 Work Mode: Hybrid
Looking for talented GRADUATES ONLY
📌 What We're Looking For:
✔️ 2+ years of experience in data analysis, statistical modeling, and data mining (e-commerce preferred)
✔️ Strong in #SQL, #Python, Excel; familiarity with R is a plus!
✔️ Hands-on with #ABTesting, #PredictiveModeling, and optimization experiments 🧪
✔️ Collaborative, organized, and skilled in project management 🤝
✔️ Bonus points: Knowledge of finance/accounting, Git, and agile tools (Jira, Confluence, Miro) ✨
Send your CV or referral to: rachel@spectral.in
Spectral Consultant is Hiring DataAnalyst
📍 Location: Gurgaon | 💼 Work Mode: Hybrid
Looking for talented GRADUATES ONLY
📌 What We're Looking For:
✔️ 2+ years of experience in data analysis, statistical modeling, and data mining (e-commerce preferred)
✔️ Strong in #SQL, #Python, Excel; familiarity with R is a plus!
✔️ Hands-on with #ABTesting, #PredictiveModeling, and optimization experiments 🧪
✔️ Collaborative, organized, and skilled in project management 🤝
✔️ Bonus points: Knowledge of finance/accounting, Git, and agile tools (Jira, Confluence, Miro) ✨
Send your CV or referral to: rachel@spectral.in