#Python Data Analysis

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#Python Data Analysis Reel by @shakra.shamim (verified account) - Required Python for data analyst role with resources link :- First complete Python Basics from below mentioned course https://www.youtube.com/watch
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@shakra.shamim
Required Python for data analyst role with resources link :- First complete Python Basics from below mentioned course https://www.youtube.com/watch?v=kqtD5dpn9C8&t=1786s Practice 150 Python Basic question from below link to get aware about syntax - https://www.w3resource.com/python-exercises/basic/ Complete below course of python data analysis using pandas, numpy, matplotlib and seaborn - https://www.youtube.com/watch?v=r-uOLxNrNk8&t=683s Complete atleast 3-4 case study from below playlists - https://youtube.com/playlist?list=PL_1pt6K-CLoDMEbYy2PcZuITWEjqMfyoA Practice Python interview questions for data scientist role (only try upto medium level) - https://datalemur.com/python-interview-questions Python Project (Optional) - https://lnkd.in/emzcrzTX #python #dataanalyst #interview #datascience
#Python Data Analysis Reel by @codeandcrush - 🐍 Top 15 Python Libraries Every Data Analyst Must Know 📊 If you are starting your Data Analytics journey, the right Python libraries can save you h
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@codeandcrush
🐍 Top 15 Python Libraries Every Data Analyst Must Know 📊 If you are starting your Data Analytics journey, the right Python libraries can save you hours of effort and make your projects 10x more powerful. 🚀 Here’s a quick breakdown of the must-know libraries: ✅ Pandas → Data cleaning & manipulation ✅ NumPy → Fast numerical computing ✅ Matplotlib & Seaborn → Stunning visualizations ✅ Plotly → Interactive dashboards ✅ Scikit-learn → Easy machine learning ✅ Statsmodels & SciPy → Statistical analysis ✅ TensorFlow / PyTorch → Advanced AI & analytics ✅ OpenPyXL, Dask, BeautifulSoup, NLTK, SQLAlchemy → Excel automation, big data, web scraping, text analytics, and databases! 💡 Whether you’re preparing for a job, building projects, or just learning, these libraries are the backbone of Data Analytics. 👉 Save this reel for quick reference 🔖 👉 Share it with your data friends 🔄 👉 Follow @codeandcrush for more daily Data Analytics tips, tricks & career hacks 🚀 #python #dataanalytics #pythonlibraries #datascience #machinelearning #sql #powerbi #dataanalyst #learnpython #learnandgrow #careergoals #instagram #pythonprogramming #reelsi̇nstagram #trendings
#Python Data Analysis Reel by @shakra.shamim (verified account) - Data Analytics interviews does not require complex Python Programming knowledge. I have created a PDF which contains required Python syllabus and free
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@shakra.shamim
Data Analytics interviews does not require complex Python Programming knowledge. I have created a PDF which contains required Python syllabus and free resources to learn. Please comment “Python” to get the PDF directly to your DM !! #python #coding #programming #2025 #tech #datascience #dataanalytics
#Python Data Analysis Reel by @askdatadawn (verified account) - FREE Data Analytics learning resources. Seriously, start here before paying for any courses. These are FREE & a great introduction for any skill you
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@askdatadawn
FREE Data Analytics learning resources. Seriously, start here before paying for any courses. These are FREE & a great introduction for any skill you want to learn. - SQL: https://www.youtube.com/watch?v=7S_tz1z_5bA - Excel: https://www.youtube.com/watch?v=pCJ15nGFgVg - Tableau: https://www.youtube.com/watch?v=aHaOIvR00So - Python: https://www.youtube.com/watch?v=LHBE6Q9XlzI #dataanalytics #dataanalyst #datascience #womenintech #aiengineering #techcareers
#Python Data Analysis Reel by @maggieindata (verified account) - Comment PROJECT to access my step-by-step Python tutorial that anyone can follow to build your very first geospatial dashboard web app! 🌍📊 A good n
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@maggieindata
Comment PROJECT to access my step-by-step Python tutorial that anyone can follow to build your very first geospatial dashboard web app! 🌍📊 A good number of portfolio projects is 3–5, and the types of projects you choose should reflect the kind of data role you’re going after. A data analyst portfolio should look very different from a machine learning engineer one. Even within data science, a product/decision data scientist portfolio should focus on A/B testing and metrics storytelling—while an algorithm data scientist portfolio might highlight modeling and experimentation. ✨ Especially if you’re building your very first project, prioritize: 🌱 Real-world messiness (not polished Kaggle sets) 🌱 Business context and decision-making 🌱 Clear documentation (what you did and why) 🌱Visuals to help your work stand out No one’s asking for perfection—they want to see how you think. #datascienceportfolio #dataanalyst #learnpython #codingjourney #techcareers
#Python Data Analysis Reel by @sajjaad.khader (verified account) - How to MASTER Python for FREE #coding #python #compsci #fyp Inspo: @eczachly follow him for great data engineering content!
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@sajjaad.khader
How to MASTER Python for FREE #coding #python #compsci #fyp Inspo: @eczachly follow him for great data engineering content!
#Python Data Analysis Reel by @askdatadawn (verified account) - Let's clean a dataset together in Python in 2 minutes ✌🏽 #dataanalytics #datascience #python #datacleaning
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@askdatadawn
Let’s clean a dataset together in Python in 2 minutes ✌🏽 #dataanalytics #datascience #python #datacleaning
#Python Data Analysis Reel by @onseventhsky (verified account) - Data Analytics Road map (6-9 months) https://drive.google.com/drive/folders/17KOCp6F1JGqOCwIdryzcDykNCSu93Ltc?usp=sharing Built from my personal int
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@onseventhsky
Data Analytics Road map (6-9 months) https://drive.google.com/drive/folders/17KOCp6F1JGqOCwIdryzcDykNCSu93Ltc?usp=sharing Built from my personal interview experiences(Interviews given - 5+) Duration - 1-2 Months - Basics Learn basic - intermediate SQL(joins) from youtube/udemy Basic Python from youtube/udemy/Leetcode Basic Excel Duration 2-3 Months - Intermediate Practice intermediate to advanced SQL on Data Lemur/Leetcode/WiseOwl Practice easy-intermediate python questions on Leetcode/Hackerrank Start BI - Power BI tutorial from youtube/udemy Duration 3-4 Months - Advanced Learn Pandas/pyspark, practice EDA on csv files from Kaggle datasets on jupyter notebook/colab Practice advanced SQL questions(window functions) Build BI projects from kaggle datasets/Datacamp Github profile to showcase your projects + LinkedIn Theoretical knowledge on ETL pipelines/ Data warehousing concepts(Chat GPT) Resources SQL - Theory - W3Schools(free)/Udemy(paid), Practice - Leetcode/Data Lemur Python - Theory - Youtube/Udemy, Practice - Leetcode(easy to medium) Data Warehousing+ETL - Tutorials Point/Udemy, Datacamp/Chat GPT Power BI/Tableau - Datacamp, wiseowl Pandas/Pyspark - Datacamp, Leetcode, Kaggle Basic Excel . . . . . . #big4 #fyp #data #analytics #ootd #grwm
#Python Data Analysis Reel by @swerikcodes (verified account) - If I was a beginner learning to code, I would use this Python roadmap step by step for beginners 💪 #coding #codingforbeginners #learntocode #codingti
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@swerikcodes
If I was a beginner learning to code, I would use this Python roadmap step by step for beginners 💪 #coding #codingforbeginners #learntocode #codingtips #cs #python #computerscience #usemassive
#Python Data Analysis Reel by @happycoding_with_prishu - Input and typecasting in python Join daily free live classes of PYTHON on HappyCoding YouTube channel Offline batches are starting very soon in Jai
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@happycoding_with_prishu
Input and typecasting in python Join daily free live classes of PYTHON on HappyCoding YouTube channel Offline batches are starting very soon in Jaipur! #prishu #happycoding#happycodingwithprishu #programming #python #prishugawalia
#Python Data Analysis Reel by @priyal.py - 1. FastAPI - Build lightning-fast APIs with automatic docs and modern Python features. 2. Pydantic - Ensure clean, validated data using Python type hi
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@priyal.py
1. FastAPI – Build lightning-fast APIs with automatic docs and modern Python features. 2. Pydantic – Ensure clean, validated data using Python type hints. 3. Logging – Track your app’s behavior and debug issues with structured logs. 4. Testing – Catch bugs early with automated checks for your code and APIs. 5. Async Programming – Handle more with less waiting write non-blocking, efficient code. 6. Database Management – Store, query, and manage data reliably using ORMs and SQL tools. #datascience #machinelearning #womeninstem #learningtogether #progresseveryday #tech #consistency
#Python Data Analysis Reel by @learnwidgiggs - Python topics for Data Analyst- Save the reel, share with your friends and Follow me for more useful content 📌 Here is the list- ➡️ Basics of Pyt
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@learnwidgiggs
Python topics for Data Analyst- Save the reel, share with your friends and Follow me for more useful content 📌 Here is the list- ➡️ 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 🙏 If you want it in your DM, plz comment 'Yes' #powerbi #sql #python #pandas #numpy #dataanalytics #learnwidgiggs

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