💻 Python Programming Roadmap
🔹 Stage 1: Python Basics (Syntax, Variables, Data Types)
🔹 Stage 2: Control Flow (if/else, loops)
🔹 Stage 3: Functions & Modules
🔹 Stage 4: Data Structures (Lists, Tuples, Sets, Dicts)
🔹 Stage 5: File Handling (Read/Write, CSV, JSON)
🔹 Stage 6: Error Handling (try/except, custom exceptions)
🔹 Stage 7: Object-Oriented Programming (Classes, Inheritance)
🔹 Stage 8: Standard Libraries (os, datetime, math)
🔹 Stage 9: Virtual Environments & pip package management
🔹 Stage 10: Working with APIs (Requests, JSON data)
🔹 Stage 11: Web Development Basics (Flask/Django)
🔹 Stage 12: Databases (SQLite, PostgreSQL, SQLAlchemy ORM)
🔹 Stage 13: Testing (unittest, pytest frameworks)
🔹 Stage 14: Version Control with Git & GitHub
🔹 Stage 15: Package Development (setup.py, publishing on PyPI)
🔹 Stage 16: Data Analysis (Pandas, NumPy libraries)
🔹 Stage 17: Data Visualization (Matplotlib, Seaborn)
🔹 Stage 18: Web Scraping (BeautifulSoup, Selenium)
🔹 Stage 19: Automation & Scripting projects
🔹 Stage 20: Advanced Topics (AsyncIO, Type Hints, Design Patterns)
💡 Tip: Master one stage before moving to the next. Build mini-projects to solidify your learning.
You can find detailed explanation here: 👇 https://whatsapp.com/channel/0029VbBDoisBvvscrno41d1l
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🔹 Stage 1: Python Basics (Syntax, Variables, Data Types)
🔹 Stage 2: Control Flow (if/else, loops)
🔹 Stage 3: Functions & Modules
🔹 Stage 4: Data Structures (Lists, Tuples, Sets, Dicts)
🔹 Stage 5: File Handling (Read/Write, CSV, JSON)
🔹 Stage 6: Error Handling (try/except, custom exceptions)
🔹 Stage 7: Object-Oriented Programming (Classes, Inheritance)
🔹 Stage 8: Standard Libraries (os, datetime, math)
🔹 Stage 9: Virtual Environments & pip package management
🔹 Stage 10: Working with APIs (Requests, JSON data)
🔹 Stage 11: Web Development Basics (Flask/Django)
🔹 Stage 12: Databases (SQLite, PostgreSQL, SQLAlchemy ORM)
🔹 Stage 13: Testing (unittest, pytest frameworks)
🔹 Stage 14: Version Control with Git & GitHub
🔹 Stage 15: Package Development (setup.py, publishing on PyPI)
🔹 Stage 16: Data Analysis (Pandas, NumPy libraries)
🔹 Stage 17: Data Visualization (Matplotlib, Seaborn)
🔹 Stage 18: Web Scraping (BeautifulSoup, Selenium)
🔹 Stage 19: Automation & Scripting projects
🔹 Stage 20: Advanced Topics (AsyncIO, Type Hints, Design Patterns)
💡 Tip: Master one stage before moving to the next. Build mini-projects to solidify your learning.
You can find detailed explanation here: 👇 https://whatsapp.com/channel/0029VbBDoisBvvscrno41d1l
Double Tap ♥️ For More ✅
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✅ How Much Python is Enough to Crack a Data Analyst Interview? 🐍📊
Python is a must-have for data analyst roles in 2025—interviewers expect you to handle data cleaning, analysis, and basic viz with it. You don't need to be an expert in ML or advanced scripting; focus on practical skills to process and interpret data efficiently. Based on current trends, here's what gets you interview-ready:
📌 Basic Syntax & Data Types
⦁ Variables, strings, integers, floats
⦁ Lists, tuples, dictionaries, sets
🔁 Conditions & Loops
⦁ if, elif, else
⦁ for and while loops
🧰 Functions & Scope
⦁ def, parameters, return values
⦁ Lambda functions, *args, **kwargs
📦 Pandas Foundation
⦁ DataFrame, Series
⦁ read_csv(), head(), info(), describe()
⦁ Filtering, sorting, indexing
🧮 Data Analysis
⦁ groupby(), agg(), pivot_table()
⦁ Handling missing values: isnull(), fillna()
⦁ Duplicates & outliers
📊 Visualization
⦁ matplotlib.pyplot & seaborn
⦁ Line, bar, scatter, histogram
⦁ Styling and labeling charts
🗃️ Working with Files
⦁ Reading/writing CSV, Excel
⦁ JSON basics
⦁ Using with open() for text files
📅 Date & Time
⦁ datetime, pd.to_datetime()
⦁ Extracting day, month, year
⦁ Time-based filtering
✅ Must-Have Strengths:
⦁ Writing clean, readable Python code
⦁ Analyzing DataFrames confidently
⦁ Explaining logic behind analysis
⦁ Connecting analysis to business goals
Aim for 2-3 months of consistent practice (20-30 hours/week) on platforms like DataCamp or LeetCode. Pair it with SQL and Excel for a strong edge—many jobs test Python via coding challenges on datasets.
Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
💬 Tap ❤️ for more!
Python is a must-have for data analyst roles in 2025—interviewers expect you to handle data cleaning, analysis, and basic viz with it. You don't need to be an expert in ML or advanced scripting; focus on practical skills to process and interpret data efficiently. Based on current trends, here's what gets you interview-ready:
📌 Basic Syntax & Data Types
⦁ Variables, strings, integers, floats
⦁ Lists, tuples, dictionaries, sets
🔁 Conditions & Loops
⦁ if, elif, else
⦁ for and while loops
🧰 Functions & Scope
⦁ def, parameters, return values
⦁ Lambda functions, *args, **kwargs
📦 Pandas Foundation
⦁ DataFrame, Series
⦁ read_csv(), head(), info(), describe()
⦁ Filtering, sorting, indexing
🧮 Data Analysis
⦁ groupby(), agg(), pivot_table()
⦁ Handling missing values: isnull(), fillna()
⦁ Duplicates & outliers
📊 Visualization
⦁ matplotlib.pyplot & seaborn
⦁ Line, bar, scatter, histogram
⦁ Styling and labeling charts
🗃️ Working with Files
⦁ Reading/writing CSV, Excel
⦁ JSON basics
⦁ Using with open() for text files
📅 Date & Time
⦁ datetime, pd.to_datetime()
⦁ Extracting day, month, year
⦁ Time-based filtering
✅ Must-Have Strengths:
⦁ Writing clean, readable Python code
⦁ Analyzing DataFrames confidently
⦁ Explaining logic behind analysis
⦁ Connecting analysis to business goals
Aim for 2-3 months of consistent practice (20-30 hours/week) on platforms like DataCamp or LeetCode. Pair it with SQL and Excel for a strong edge—many jobs test Python via coding challenges on datasets.
Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
💬 Tap ❤️ for more!
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Python for Data Analysts
Pandas Cheatsheet .pdf
🚀 Pandas Cheatsheet – Master Data Analysis Like a Pro! 📊
Free Data Analytics Courses With Certificate
👇👇
https://www.linkedin.com/posts/sql-analysts_dataanalyst-datascience-datacamp-activity-7392164126371958784-cFIc
Double Tap ♥️ For More Free Resources
👇👇
https://www.linkedin.com/posts/sql-analysts_dataanalyst-datascience-datacamp-activity-7392164126371958784-cFIc
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🚀 The Ultimate Data Science Roadmap — 2025 Edition
Ready to start or upgrade your Data Science journey? Here’s your quick guide from basics to Gen AI 👇
🧮 1️⃣ Math & Stats – Master algebra, probability & calculus — the core of ML & AI.
💻 2️⃣ Python & SQL – Learn Python (NumPy, APIs, OOPs) & SQL for data wrangling.
📊 3️⃣ Excel – Still key for quick analysis, pivot tables & data cleaning.
📈 4️⃣ Data Analysis – Do EDA, build dashboards (Power BI/Tableau), and visualize with Pandas.
🤖 5️⃣ Machine Learning – Start with regression, classification & model tuning.
🧠 6️⃣ Deep Learning – Learn CNNs, RNNs & model deployment for CV & NLP.
⚙️ 7️⃣ Generative AI & LLMs – Explore RAG, AutoGPT & reasoning frameworks.
🤯 8️⃣ Agentic AI – Dive into LangChain, OpenAI APIs & intelligent agents.
🎯 Pro Tip:
Don’t rush. Be consistent. Build projects, join Kaggle, and solve real problems — that’s where real learning happens.
Ready to start or upgrade your Data Science journey? Here’s your quick guide from basics to Gen AI 👇
🧮 1️⃣ Math & Stats – Master algebra, probability & calculus — the core of ML & AI.
💻 2️⃣ Python & SQL – Learn Python (NumPy, APIs, OOPs) & SQL for data wrangling.
📊 3️⃣ Excel – Still key for quick analysis, pivot tables & data cleaning.
📈 4️⃣ Data Analysis – Do EDA, build dashboards (Power BI/Tableau), and visualize with Pandas.
🤖 5️⃣ Machine Learning – Start with regression, classification & model tuning.
🧠 6️⃣ Deep Learning – Learn CNNs, RNNs & model deployment for CV & NLP.
⚙️ 7️⃣ Generative AI & LLMs – Explore RAG, AutoGPT & reasoning frameworks.
🤯 8️⃣ Agentic AI – Dive into LangChain, OpenAI APIs & intelligent agents.
🎯 Pro Tip:
Don’t rush. Be consistent. Build projects, join Kaggle, and solve real problems — that’s where real learning happens.
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The program for the 10th AI Journey 2025 international conference has been unveiled: scientists, visionaries, and global AI practitioners will come together on one stage. Here, you will hear the voices of those who don't just believe in the future—they are creating it!
Speakers include visionaries Kai-Fu Lee and Chen Qufan, as well as dozens of global AI gurus from around the world!
On the first day of the conference, November 19, we will talk about how AI is already being used in various areas of life, helping to unlock human potential for the future and changing creative industries, and what impact it has on humans and on a sustainable future.
On November 20, we will focus on the role of AI in business and economic development and present technologies that will help businesses and developers be more effective by unlocking human potential.
On November 21, we will talk about how engineers and scientists are making scientific and technological breakthroughs and creating the future today!
Ride the wave with AI into the future!
Tune in to the AI Journey webcast on November 19-21.
Speakers include visionaries Kai-Fu Lee and Chen Qufan, as well as dozens of global AI gurus from around the world!
On the first day of the conference, November 19, we will talk about how AI is already being used in various areas of life, helping to unlock human potential for the future and changing creative industries, and what impact it has on humans and on a sustainable future.
On November 20, we will focus on the role of AI in business and economic development and present technologies that will help businesses and developers be more effective by unlocking human potential.
On November 21, we will talk about how engineers and scientists are making scientific and technological breakthroughs and creating the future today!
Ride the wave with AI into the future!
Tune in to the AI Journey webcast on November 19-21.
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Tune in to the 10th AI Journey 2025 international conference: scientists, visionaries, and global AI practitioners will come together on one stage. Here, you will hear the voices of those who don't just believe in the future—they are creating it!
Speakers include visionaries Kai-Fu Lee and Chen Qufan, as well as dozens of global AI gurus! Do you agree with their predictions about AI?
On November 20, we will focus on the role of AI in business and economic development and present technologies that will help businesses and developers be more effective by unlocking human potential.
On November 21, we will talk about how engineers and scientists are making scientific and technological breakthroughs and creating the future today! The day's program includes presentations by scientists from around the world:
- Ajit Abraham (Sai University, India) will present on “Generative AI in Healthcare”
- Nebojša Bačanin Džakula (Singidunum University, Serbia) will talk about the latest advances in bio-inspired metaheuristics
- AIexandre Ferreira Ramos (University of São Paulo, Brazil) will present his work on using thermodynamic models to study the regulatory logic of transcriptional control at the DNA level
- Anderson Rocha (University of Campinas, Brazil) will give a presentation entitled “AI in the New Era: From Basics to Trends, Opportunities, and Global Cooperation”.
And in the special AIJ Junior track, we will talk about how AI helps us learn, create and ride the wave with AI.
The day will conclude with an award ceremony for the winners of the AI Challenge for aspiring data scientists and the AIJ Contest for experienced AI specialists. The results of an open selection of AIJ Science research papers will be announced.
Ride the wave with AI into the future!
Tune in to the AI Journey webcast on November 19-21.
Speakers include visionaries Kai-Fu Lee and Chen Qufan, as well as dozens of global AI gurus! Do you agree with their predictions about AI?
On November 20, we will focus on the role of AI in business and economic development and present technologies that will help businesses and developers be more effective by unlocking human potential.
On November 21, we will talk about how engineers and scientists are making scientific and technological breakthroughs and creating the future today! The day's program includes presentations by scientists from around the world:
- Ajit Abraham (Sai University, India) will present on “Generative AI in Healthcare”
- Nebojša Bačanin Džakula (Singidunum University, Serbia) will talk about the latest advances in bio-inspired metaheuristics
- AIexandre Ferreira Ramos (University of São Paulo, Brazil) will present his work on using thermodynamic models to study the regulatory logic of transcriptional control at the DNA level
- Anderson Rocha (University of Campinas, Brazil) will give a presentation entitled “AI in the New Era: From Basics to Trends, Opportunities, and Global Cooperation”.
And in the special AIJ Junior track, we will talk about how AI helps us learn, create and ride the wave with AI.
The day will conclude with an award ceremony for the winners of the AI Challenge for aspiring data scientists and the AIJ Contest for experienced AI specialists. The results of an open selection of AIJ Science research papers will be announced.
Ride the wave with AI into the future!
Tune in to the AI Journey webcast on November 19-21.
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