95.8K
THYou only need to learn these 10 Python Topics to crack any data analyst interview #python #sql #dataanalyst
@thedataguy16
#Data Analysis With Python Tutorial
Watch Reels videos about Data Analysis With Python Tutorial from people all over the world.
Watch anonymously without logging in.
Related Searches
12Trending Reels
(12)
130.2K
LOThere's a one line Python command that replaces hours of manual EDA work 📊
Most analysts start every project typing df.info, df.describe, checking duplicates, plotting histograms one by one. It's boring, slow, and easy to miss things.
Here's the smarter way:
Install ydata-profiling. Run one line of code on your dataframe. It automatically builds a full interactive HTML dashboard. Distributions, correlations, missing values, duplicates, all in one place.
The difference between junior and senior analysts isn't just skill. It's knowing which tools save you hours so you can focus on actual insights.
Comment "CODE" for the full script and save this before your next project 🎯
#PythonForDataScience #ExploratoryDataAnalysis #PandasProfiling #DataAnalyticsTips
@loresowhat
25.5K
TE✅ 10 Python Snippets Every Data Analyst Should Know 📊
➊ Read CSV File
python
import pandas as pd
df = pd.read_csv("data.csv")
➋ Check for Missing Values
python
df.isnull().sum()
➌ Drop Duplicate Rows
python
df = df.drop_duplicates()
➍ Filter Rows by Condition
python
filtered = df[df["Age"] > 30]
➎ Group By & Aggregate
python
df.groupby("Department")["Salary"].mean()
➏ Rename Columns
python
df.rename(columns={"old_name": "new_name"}, inplace=True)
➐ Sort Data
python
df.sort_values(by="Salary", ascending=False)
➑ Find Correlation
python
df.corr()
➒ Convert Data Type
python
df["Date"] = pd.to_datetime(df["Date"])
➓ Describe Summary
python
df.describe()
Save it for later✅
Dr. Aditi Gupta
Analytics Mentor
@techtip24
#python #dataanalysis #dataanalyst #tips
@techtip24
462.6K
HAInput 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
@happycoding_with_prishu
1.2M
ROFor everyone looking to kickstart their python journey😄
#foryou #viral #coding
@roshanvadassery
2.4M
MORelaxing Python & Pygame Creations #coding #programming
@mohcinale
1.3M
PRDATA ANALYTICS ROADMAP (0 → Job Ready)
Reality check:
You don’t need coding mastery, fancy degrees, or 10 tools.
You need strong basics + projects + storytelling + consistency.
PHASE 0: Mindset & Setup (1 Week)
What to understand first
Data Analytics ≠ Data Science
Your job is to answer business questions using data
Tools are secondary, thinking is primary
Setup
Laptop
Google account
Install:
Excel / Google Sheets
MySQL / PostgreSQL
VS Code or Jupyter Notebook
Power BI (free version)
PHASE 1: EXCEL (Foundation Tool) – 2 to 3 Weeks
80% companies still test Excel in interviews
What to learn (IN THIS ORDER)
Basics
Rows, columns, formatting
Functions
SUM, AVERAGE, COUNT
IF, AND, OR
VLOOKUP / XLOOKUP
INDEX + MATCH
Data Cleaning
Remove duplicates
Text to columns
TRIM, CLEAN
Pivot Tables
Grouping
Filters
Charts
Bar, Line, Pie
Mini Project
👉 Sales Analysis Dashboard in Excel
Monthly sales
Top products
Region-wise revenue
📌 This becomes Project 1
PHASE 2: SQL (MOST IMPORTANT) – 3 to 4 Weeks
SQL is a job gatekeeper. No SQL = No shortlist.
What to learn
Basics
SELECT, WHERE, ORDER BY
Filtering
AND, OR, IN, BETWEEN, LIKE
Aggregations
COUNT, SUM, AVG
GROUP BY, HAVING
Joins
INNER
LEFT
RIGHT
Subqueries
Window Functions
ROW_NUMBER
RANK
DENSE_RANK
Practice
Write daily 5–10 queries
Explain your logic in words
Project
👉 E-commerce Database Analysis
Top customers
Repeat orders
Revenue trends
📌 Project 2
PHASE 3: PYTHON (Only What You Need) – 3 Weeks
You are not becoming a Python developer
What to learn
Basics
Variables
Loops
Conditions
Libraries
NumPy
Pandas
Matplotlib / Seaborn
Data Tasks
Read CSV
Handle missing values
Filter & sort data
Simple EDA
Project
👉 Diwali Sales / Zomato / Netflix Data Analysis
Clean data
Insights
Visualizations
📌 Project 3
PHASE 4: POWER BI / TABLEAU – 2 Weeks
This is where you look job-ready
What to learn
Data Import
Relationships
DAX Basics
SUM
CALCULATE
FILTER
Dashboards
Storytelling
Project
👉 Business Performance Dashboard
KPIs
Trends
Insights slide
📌 Project 4
Comment for complete roadmap and resources✨
@prernaa.py
12.3K
VOComment "DATA" for the links.
You Will Never Struggle With Data Science Again
📌 Learn the most important foundations with these beginner-friendly resources:
1️⃣ Learn Python for Data Science – FreeCodeCamp’s full beginner course
2️⃣ Essence of Linear Algebra – 3Blue1Brown’s visual, intuitive playlist
3️⃣ Statistics – A Full Lecture (2025) – step-by-step breakdown of core stats concepts
Stop feeling overwhelmed by Python, statistics, or linear algebra. These tutorials simplify the fundamentals of Data Science with clear explanations, visuals, and real-world examples.
Whether you’re preparing for a career in Data Science, getting into machine learning, or just curious about data analysis, this is the fastest way to finally understand how it all fits together.
Save this post, share it, and turn confusion into clarity with Python, Stats, and Linear Algebra for Data Science 📊
@volkan.js
12.9K
DEPython for Data Analyst🚀
Comment "Python" for the sheet..
(Python programming, Data Analyst, Data Analytics, Daya engineer, Data Engineering, Data scientist, Data science)
#dataanalytics #dataanalyst #dataanalysis #dataengineer #dataengineering #devops #softwareengineering #devopsengineer #softwareengineer #engineering #avyaypratyush #reelsinstagram #explorepage #foryou #viral
@decodewithavyay
231.6K
TEdrop a “wow” below, and i will send you the link
🚀 Learn Python in 30 Days – Free GitHub Repository 🐍💻
Master Python from beginner to advanced with this all-in-one 30-day roadmap!
Start with Day 1: Introduction to Python, then dive into loops, conditions, functions, modules, and top libraries like NumPy, Pandas, and MongoDB. You’ll even learn API development and real-world projects! 💡
✨ Perfect for beginners, students, and aspiring developers who want to learn Python fast and build real projects.
#Python #LearnPython #PythonCourse #PythonTutorial #PythonProgramming #PythonForBeginners #CodingJourney #Programming #Developers
@techie_programmer
25.8K
SHI read Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow for ML and Python for Data Analysis for data analysis, helped me build strong concepts in ML and Data #machinelearning #ai
@shubhamtomar8895
16.2K
DABuilt a real tool for my business today with Enter Pro. 🤯
@enterpro_official
What if you didn’t have to write endless Python scripts…
clean data manually…
or switch between 5 different tools just to get insights?
I tried building a fully automated data analysis agent in 1 hour…
and it actually works.
You just upload your requirements →
and it plans, codes, analyzes, and even creates reports on its own.
No notebooks.
No debugging headaches.
No tool hopping.
This isn’t just automation…
this is what the future of data analysts looks like.
Try this once… and you won’t go back 👀
#enter #enterpro #60minaifounder #vibecoding #dataanalytics
@datawithashok
✨ #Data Analysis With Python Tutorial Discovery Guide
Instagram hosts thousands of posts under #Data Analysis With Python Tutorial, creating one of the platform's most vibrant visual ecosystems. This massive collection represents trending moments, creative expressions, and global conversations happening right now.
#Data Analysis With Python Tutorial is one of the most engaging trends on Instagram right now. With over thousands of posts in this category, creators like @mohcinale, @prernaa.py and @roshanvadassery are leading the way with their viral content. Browse these popular videos anonymously on Pictame.
What's trending in #Data Analysis With Python Tutorial? The most watched Reels videos and viral content are featured above. Explore the gallery to discover creative storytelling, popular moments, and content that's capturing millions of views worldwide.
Popular Categories
📹 Video Trends: Discover the latest Reels and viral videos
📈 Hashtag Strategy: Explore trending hashtag options for your content
🌟 Featured Creators: @mohcinale, @prernaa.py, @roshanvadassery and others leading the community
FAQs About #Data Analysis With Python Tutorial
With Pictame, you can browse all #Data Analysis With Python Tutorial reels and videos without logging into Instagram. No account required and your activity remains private.
Content Performance Insights
Analysis of 12 reels
💡 Top performing posts average 1.3M views (2.7x above average). High competition - quality and timing are critical.
Focus on peak engagement hours (typically 11 AM-1 PM, 7-9 PM) and trending formats
Content Creation Tips & Strategy
💡 Top performing content gets over 10K views - focus on engaging first 3 seconds
✍️ Detailed captions with story work well - average caption length is 573 characters
📹 High-quality vertical videos (9:16) perform best for #Data Analysis With Python Tutorial - use good lighting and clear audio
✨ Many verified creators are active (67%) - study their content style for inspiration
Popular Searches Related to #Data Analysis With Python Tutorial
🎬For Video Lovers
Data Analysis With Python Tutorial ReelsWatch Data Analysis With Python Tutorial Videos
📈For Strategy Seekers
Data Analysis With Python Tutorial Trending HashtagsBest Data Analysis With Python Tutorial Hashtags
🌟Explore More
Explore Data Analysis With Python Tutorial#python data analysis tutorials#python tutorials#data analysis#python tutorial#pythons#python data analysis#data analysis tutorial#analysis data