#intro to machine learning python

[scotisfr]

Intro:

As you can see on my obsidian, I'm only starting to research about technopaganism. I'm having fun to explore it, so while I will describe how I make a "technoshrine to pray(temporary name)" feel free to add you grain of salt or correct me or brainstorm with me.

First thought:

There's people making emoji spell. That look like fun! And we can pray together, asynchronous with a common language. Do you know what is even more common when we talk about computer/phone ? BITS ! 1s and 0s! But, emoji's are unicode nowadays, and let's be real, nobody know how to read that kind of language. So let's not go that far into computer language. What about source code into machine code ? No, compiler are a mess. What could be as readable as emoji's ? Python ? That's a programing language that is really fast to understand because that's almost English and it work on almost all platform (maybe in can work on magic platforms).

So, let's make Python something magical to communicate with digital spirits !

What could we invent ? Digital altars/shrine, digital ritual, cyber divination, AR witchcraft, VR coven, technological familiars, code as spellcraft, where algorithms and scripts become incantation to manipulate digital or magical realms. And maybe MakerWitch can do 3D prints and create tools IRL ?

Obsidian: That's not a topic I want to cover, but I use it for my technopaganism research, so here's how I setup-it and use it : https://youtu.be/hSTy_BInQs8?si=Ci1NZ_H0tjcuCYIw I can talk about it more when I feel like I have a good vault structure, if it interest someone. Thoughtform : I have some brainstorming on how to make thoughform on Gdoc and Obsidian, if someone want to brainstorm on that with me ^^.

Look at one of my cat before I start to explain. FalseCode I want to make, what requirements specification?

Need to look like pseudocode (Pseudocode is an important type of comment that becomes a special type of to-do list, especially when you don’t understand how to accomplish a coding task. more here : https://en.wikipedia.org/wiki/Pseudocode)

The syntax NEED to be simple like python and readable

As it's for me to continue working with my spirits, it need to be using Neo-khuzdul, but still, I want people to be able to read my code, so explain in plain English as needed

I want to be able to use it anywhere (even in .txt notes), so let's make it resemble command-line interface (CLI: https://en.wikipedia.org/wiki/Command-line_interface)

Replicated a CML interface, design-wise:

I just wanted to use JetBrains because it's the more readable in my opinion, when coding. The background is not black, because purple is more magic-y. The rest, it's PyCharm colors (a software for coding Python).

Writing and using the Falsecode:

I will make a easier to follow step-by-step "how did I did that". I will try to not make it to tech-savvy, but I want you to follow if you want to do your own or just talk with me about it (please, I will love you if I can talk about my falsecode <3).

Keep in mind that I will talk as if the FalseCode is a true thing, my terminal is working et caetera, but in reality, it's just me writing and emulating a true functionality. It's my doll house.

Open a Gdocument, make a little boxe that will be our terminal

2. A false loading bar to make it fancy, and a launching prompt. It tell me that my AznâMakhla (FalseCode) is open in forge mode. And if something is opened, it need to be closed (and let add a little nice message)

3. Okay, I have an interface to do code into. Let's start a space for me to work into: the Forge of Renewal. While opening, the space will open and learn dictionaries so I can use my falsecode and english to talk with the space and the entities in it. I initialize the falsecode in itself, the inverse so the entities (Taznân) can also communicate with me, and emoji's (because I will use them to do spell). When it's done, it tell me "success" and a little welcoming message is here to tell me that I can start to work (and at the end, it will have an ending message when the space is closed) For me, this space is my circle. I open it, I close it ; while I'm inside I can focus on working with spirit and welcomed entities.

4. I have an interface and a magical space, now, how about some tools to work with ? Like an instant translation between what I will write in english into the FalseCode, it can be useful !

5. I'm starting to work into the space, I'm a beginner. I want to summon/invite a nice entities to keep me safe while I work. Why not a sentinel that will become my guardian while I'm here ?

6. Here! Now, how about I take a little look around before I start working ?

And that's it. So here's the opening, the "working-wizard" that symbolize the work you do in this environment/circle and the ending.

I only did one meditation in movement with all that and it was ... not well received by the spirits I work normally. Hypothesis : a) I was too focus on the technical and not enough on my intention and perceptibly of the digital space b) I'm not summoning the right spirit to work like that and my common spirit are just confused about wtf I'm trying to do c) or just, another thing I did not though of yet.

If you want to talk about it (or any adjacent topic) and/or ask question, don't be shy, I would like that greatly ^^.

[callofdutymobileindia]

Best Machine Learning Courses in Boston for Beginners and Non-Tech Backgrounds

Machine Learning (ML) is one of the most transformative technologies of our time—and Boston is at the forefront of this revolution. Whether you're a college student from a non-STEM field, a working professional in business or healthcare, or simply a curious mind without coding experience, there’s good news: you don’t need to be a tech expert to learn Machine Learning today.

With a growing number of beginner-friendly and affordable Machine Learning Courses in Boston, the city has become a hub for inclusive and accessible AI education. This guide explores the best courses tailored for non-technical learners and absolute beginners, offering flexibility, mentorship, real-world projects, and industry-recognized certification.

Why Boston Is a Great City to Learn Machine Learning?

Boston is home to world-class universities, innovative edtech institutes, and a thriving startup ecosystem. Its rich academic culture and proximity to leading AI research labs make it an ideal environment for anyone looking to break into machine learning—even without a tech background.

Reasons to choose Boston for ML education:

Access to instructors from Harvard, MIT, and top AI startups

A strong job market in healthcare, biotech, finance, and analytics

Bootcamps and institutes offering beginner-friendly, practical curriculums

Hybrid learning options (online + offline)

What to Look for in a Machine Learning Course as a Beginner?

If you're from a non-technical background, here’s what to prioritize in a course:

Foundational modules: Intro to Python, statistics, data visualization

Step-by-step teaching: Clear progression from basics to ML algorithms

Hands-on learning: Real-world datasets, projects, and assignments

Career support: Resume building, interview prep, mentorship

Flexible learning: Part-time, weekend, or self-paced options

No experience required: Courses that don’t assume prior coding knowledge

Boston Institute of Analytics (BIA) – Machine Learning & AI Certification Course

Why it’s perfect for beginners: Boston Institute of Analytics is one of the most beginner-friendly options available in the city. Its industry-driven curriculum, small class sizes, and real-world case studies make it ideal for learners with no tech experience.

Duration: 4–6 months

Format: Online + in-person hybrid options

Modules: Python from scratch, statistics, supervised/unsupervised ML, NLP

Projects: Capstone with real-time datasets (healthcare, retail, finance)

Certification: Globally recognized

Support: Dedicated mentorship, career counseling, placement assistance

What You’ll Learn as a Beginner?

Even with no tech background, these courses are designed to help you master:

Python Programming from scratch

Statistics and Probability for ML

Data Cleaning & Exploration

Linear and Logistic Regression

Classification, Clustering, Decision Trees

Natural Language Processing (NLP)

AI & ML use cases across industries

You'll also complete hands-on projects that may include:

Predicting customer churn

Fraud detection using machine learning

Text classification using NLP

Forecasting sales and demand

Frequently Asked Questions (FAQs)

Q1. Can I learn machine learning without a tech background?

Absolutely. Many ML courses in Boston start with Python and statistics basics, designed specifically for non-technical learners. With consistent practice and support, anyone can master it.

Q2. What are the career options after completing an ML course as a beginner?

You can pursue entry-level roles like:

Junior Data Analyst

ML Research Assistant

AI Product Analyst

Business Intelligence Analyst

With experience, you can move toward roles like Data Scientist or ML Engineer.

Q3. How long does it take to learn machine learning as a beginner?

With regular learning (10–12 hours/week), you can complete a beginner ML course in 4 to 6 months. Some part-time or immersive programs go longer but offer deeper knowledge and job readiness.

Q4. Do I need to know math for machine learning?

Yes, but only basic concepts like linear algebra, probability, and statistics. Most beginner-friendly courses explain these topics in a simplified way for non-math students.

Q5. Which is the best institute for machine learning in Boston for non-tech learners?

The Boston Institute of Analytics is highly recommended due to its beginner-focused curriculum, hands-on approach, career support, and affordable pricing.

Final Thoughts

Machine Learning may sound complex, but with the right support and structure, anyone from any background can learn it—and even build a thriving career in tech.

Boston offers a wealth of accessible, beginner-friendly Machine Learning courses in Boston, whether you're looking for academic prestige (Harvard, MIT), bootcamp structure (General Assembly), or real-world practicality (Boston Institute of Analytics).

[imayaishear]

Best Online Python Class Kochi - Upgrade Your Programming Skills with Techmindz

In today’s fast-evolving tech landscape, Python has become one of the most in-demand programming languages. Whether you're an aspiring developer, data scientist, or automation enthusiast, learning Python can significantly enhance your career prospects. If you're searching for the best online Python class in Kochi, Techmindz is the ideal choice.

Why Python?

Python is known for its simplicity, readability, and powerful libraries, making it perfect for web development, data science, artificial intelligence, machine learning, and more. The demand for Python developers is continuously growing, with top companies actively hiring skilled professionals.

Why Choose Techmindz?

Techmindz offers a comprehensive online Python training program designed by industry experts. Our curriculum is beginner-friendly and also caters to professionals looking to upgrade their skills. Key highlights include:

Interactive Live Sessions: Learn through instructor-led online classes.

Hands-On Projects: Work on real-world applications to gain practical experience.

Flexible Learning: Attend classes at your convenience.

Placement Support: Get assistance with interviews and job placement.

What You Will Learn:

Python Basics

Data Types and Control Structures

Functions, Modules, and Packages

File Handling

Object-Oriented Programming

Working with Libraries like NumPy and Pandas

Intro to Web Scraping and Data Analysis

Student Success Stories

Many of our students have secured roles in MNCs and startups across India and abroad. Our practical approach and continuous mentoring make learning effective and result-driven.

Join the Best Online Python Class in Kochi

If you want to become a proficient Python programmer and are looking for the best online Python class in Kochi, Techmindz is your go-to institute. Contact us to enroll and begin your Python journey today.

[subb01]

Python for Data Science: The Only Guide You Need to Get Started in 2025

Data is the lifeblood of modern business, powering decisions in healthcare, finance, marketing, sports, and more. And at the core of it all lies a powerful and beginner-friendly programming language — Python.

Whether you’re an aspiring data scientist, analyst, or tech enthusiast, learning Python for data science is one of the smartest career moves you can make in 2025.

In this guide, you’ll learn:

Why Python is the preferred language for data science

The libraries and tools you must master

A beginner-friendly roadmap

How to get started with a free full course on YouTube

Why Python is the #1 Language for Data Science

Python has earned its reputation as the go-to language for data science and here's why:

1. Easy to Learn, Easy to Use

Python’s syntax is clean, simple, and intuitive. You can focus on solving problems rather than struggling with the language itself.

2. Rich Ecosystem of Libraries

Python offers thousands of specialized libraries for data analysis, machine learning, and visualization.

3. Community and Resources

With a vibrant global community, you’ll never run out of tutorials, forums, or project ideas to help you grow.

4. Integration with Tools & Platforms

From Jupyter notebooks to cloud platforms like AWS and Google Colab, Python works seamlessly everywhere.

What You Can Do with Python in Data Science

Let’s look at real tasks you can perform using Python: TaskPython ToolsData cleaning & manipulationPandas, NumPyData visualizationMatplotlib, Seaborn, PlotlyMachine learningScikit-learn, XGBoostDeep learningTensorFlow, PyTorchStatistical analysisStatsmodels, SciPyBig data integrationPySpark, Dask

Python lets you go from raw data to actionable insight — all within a single ecosystem.

A Beginner's Roadmap to Learn Python for Data Science

If you're starting from scratch, follow this step-by-step learning path:

✅ Step 1: Learn Python Basics

Variables, data types, loops, conditionals

Functions, file handling, error handling

✅ Step 2: Explore NumPy

Arrays, broadcasting, numerical computations

✅ Step 3: Master Pandas

DataFrames, filtering, grouping, merging datasets

✅ Step 4: Visualize with Matplotlib & Seaborn

Create charts, plots, and visual dashboards

✅ Step 5: Intro to Machine Learning

Use Scikit-learn for classification, regression, clustering

✅ Step 6: Work on Real Projects

Apply your knowledge to real-world datasets (Kaggle, UCI, etc.)

Who Should Learn Python for Data Science?

Python is incredibly beginner-friendly and widely used, making it ideal for:

Students looking to future-proof their careers

Working professionals planning a transition to data

Analysts who want to automate and scale insights

Researchers working with data-driven models

Developers diving into AI, ML, or automation

How Long Does It Take to Learn?

You can grasp Python fundamentals in 2–3 weeks with consistent daily practice. To become proficient in data science using Python, expect to spend 3–6 months, depending on your pace and project experience.

The good news? You don’t need to do it alone.

🎓 Learn Python for Data Science – Full Free Course on YouTube

We’ve put together a FREE, beginner-friendly YouTube course that covers everything you need to start your data science journey using Python.

📘 What You’ll Learn:

Python programming basics

NumPy and Pandas for data handling

Matplotlib for visualization

Scikit-learn for machine learning

Real-life datasets and projects

Step-by-step explanations

📺 Watch the full course now → 👉 Python for Data Science Full Course

You’ll walk away with job-ready skills and project experience — at zero cost.

🧭 Final Thoughts

Python isn’t just a programming language — it’s your gateway to the future.

By learning Python for data science, you unlock opportunities across industries, roles, and technologies. The demand is high, the tools are ready, and the learning path is clearer than ever.

Don’t let analysis paralysis hold you back.

Click here to start learning now → https://youtu.be/6rYVt_2q_BM

#PythonForDataScience #LearnPython #FreeCourse #DataScience2025 #MachineLearning #NumPy #Pandas #DataAnalysis #AI #ScikitLearn #UpskillNow

[gvtacademy]

Become a Job-Ready Data Analyst with AI – Join GVT Academy Today!

Are you ready to unlock a high-demand career in data analytics with the power of AI? At GVT Academy, we’ve designed a cutting-edge, industry-aligned Best Data Analyst Course with AI in Noida tailored to give you real-world skills that employers are actively hiring for!

Our comprehensive program is structured around 5 powerful modules that equip you with both technical mastery and analytical thinking to thrive in today’s data-driven world.

MODULE 1: Advanced Excel for Data Analysis

Excel is still king in the analytics world—and we take it to the next level. Learn to:

Work with complex formulas, functions & nested logic

Perform advanced data cleaning, sorting & filtering

Use PivotTables, Power Query, and dashboards like a pro

Automate repetitive tasks using dynamic tools

Hands-on projects will ensure you're confident using Excel for deep analysis in real-time business scenarios.

MODULE 2: VBA – Automate and Accelerate

Tired of manual work in Excel? This module introduces you to Visual Basic for Applications (VBA)—your gateway to automation.

Learn to:

Record and write custom macros

Create user-defined functions

Build interactive forms and automate reports

Handle large-scale data processing tasks effortlessly

Automate reports that used to take hours—in just seconds!

MODULE 3: SQL – Speak the Language of Databases

Databases power everything—from websites to businesses. SQL gives you the power to retrieve, manipulate, and analyze data like a pro.

In this module, you will:

Understand relational database concepts

Write powerful SQL queries to extract insights

Master JOINS, GROUP BY, subqueries, and more

Optimize queries for large datasets

Ideal for roles in business intelligence, analytics, and backend operations.

MODULE 4: Power BI – Visualize Data Like Never Before

No analysis is complete without impactful storytelling—and Power BI is your tool to do just that.

Learn how to:

Build stunning dashboards from scratch

Connect and transform live data sources

Use DAX formulas for dynamic calculations

Share interactive reports across platforms

Companies want insightful stories behind the data. We’ll help you deliver exactly that!

MODULE 5: Python – The Power Behind Modern Analytics & AI

From automation to AI, Python is the engine driving innovation in data.

You’ll learn:

Data wrangling using Pandas and NumPy

Data visualization using Matplotlib and Seaborn

Intro to Machine Learning with Scikit-learn

Automating workflows and processing files

Why Choose GVT Academy?

✅ 100% Practical Training✅ Industry-Recognized Certification✅ Capstone Projects & Portfolio Building✅ Placement Assistance with Resume Support✅ Flexible Learning Options – Online & Offline

Whether you're a student, working professional, or someone switching careers, this course is your ticket to a future-proof profession in data analytics.

Limited Seats Available!

Start your data journey today with GVT Academy’s Data Analyst Course with AI and stand out in the job market.

Learn. Analyze. Automate. Predict.With GVT Academy – where your data career begins. 

1. Google My Business: http://g.co/kgs/v3LrzxE

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[govind-singh]

Unlock Your Future with the Best Data Analyst Course in Noida

In an increasingly data-driven world, the ability to analyze and interpret data has become one of the most sought-after skills across industries. Whether you're starting your career or transitioning into a new role, enrolling in a data analyst course in Noida can be a game-changer.

🚀 Why Pursue a Career in Data Analytics?

The global economy is fueled by data. From Fortune 500 companies to growing startups, organizations are leveraging data analytics to make smarter decisions, predict trends, and gain a competitive edge. As a result, skilled data analysts are in high demand.

Key Statistics:

📈 The data analytics industry is expected to grow at a CAGR of 30%+ by 2030.

💼 Data analyst roles rank among the top 10 most in-demand jobs globally.

💰 Average salary for entry-level data analysts in India: ₹5–8 LPA (source: Glassdoor).

📍 Why Choose Noida for Your Data Analyst Course?

Noida has rapidly emerged as one of India's top IT and tech education hubs. With a strong presence of tech companies, educational institutions, and job opportunities, Noida provides a perfect ecosystem for learning and career growth.

Benefits of choosing a data analyst course in Noida:

Access to industry-expert instructors with real-world experience

Exposure to corporate analytics projects and case studies

Proximity to top tech firms for internships and placements

Flexible learning options (online/offline/blended)

📚 What Does a Data Analyst Course Cover?

A professional data analyst course in Noida is structured to provide end-to-end training that prepares you for real-world challenges.

Core Modules Include:

📊 Data Analysis with Excel – Pivot tables, VLOOKUP, dashboarding

🔍 SQL for Data Extraction – Writing queries, joins, data manipulation

🐍 Python for Data Analysis – Pandas, NumPy, Matplotlib

📈 Statistics & Data Interpretation – Probability, hypothesis testing

📉 Data Visualization – Tableau, Power BI dashboards

🧠 Intro to Machine Learning – Regression, clustering, model evaluation

🏁 Capstone Project – Real-time business problem-solving

✅ Top Benefits of Taking a Data Analyst Course in Noida

Here’s what makes this investment worthwhile:

Benefit

Description

🎓 Industry-Relevant Curriculum

Learn what employers are actively seeking in candidates.

🛠️ Hands-On Learning

Apply concepts on real datasets and projects.

📜 Certifications

Gain globally recognized credentials upon course completion.

🧑‍💼 Placement Support

Resume building, mock interviews, and job referrals.

🌐 Professional Networking

Connect with peers, mentors, and industry leaders.

🕒 Flexible Schedule

Weekend and evening batches available for working professionals.

👥 Who Should Enroll?

Students aiming for a future in data or analytics

IT professionals looking to pivot into data roles

Marketing and finance professionals wanting to enhance data skills

Entrepreneurs and business owners interested in data-driven growth

📝 Conclusion

If you're serious about launching a successful and sustainable career in analytics, enrolling in a dais a ta analyst course in Noida strategic move. With the right training, tools, and support, you can transform your analytical abilities into a powerful career advantage.

[solitaryslayermutant]

🚀 Transform Your Career with Python Training in Chandigarh – Join Excellence Technology Today!

Are you looking to kickstart a high-paying career in the IT industry? Want to master one of the most in-demand programming languages in the world?

At Excellence Technology, Chandigarh, we offer a 100% practical, personalized, and job-oriented Python training program designed to help beginners and professionals alike gain real-world coding skills and secure top placements in IT companies.

💼 Why Python?

Python is not just a programming language—it’s a powerful tool used by developers worldwide for:

Web development (Django, Flask)

Data science and analytics

Machine learning and AI

Automation and scripting

App development and more

With over 3.5 million open IT jobs in India alone (as per Naukri and LinkedIn), Python is your gateway to a secure and rewarding career.

🔥 Why Choose Excellence Technology?

We’ve trained 35,000+ students and helped them land their first job in IT with confidence. Our Python course isn’t just another tutorial — it’s a career-building program.

✅ Highlights:

100% Job Assurance with 5 Interviews Guaranteed

2 Days Free Demo Classes

Work on Live Projects

220+ Hours of Instructor-led Training

Lifetime Course Access & Free Upgrades

Learn from Developers (not just trainers)

Certification + Placement Assistance

Spoken English & Personality Development Included

Whether you’re a 10th/12th pass student, college graduate, job seeker, marketing professional, or housewife – if you’re passionate about IT, we’ll help you start your career from zero.

📚 Python Training Syllabus – Beginner to Advanced

Our course covers the full stack of Python technologies:

Python Basics & OOP

File Handling, Regex, Error Handling

Django & Flask Web Development

Data Analysis & Visualization

Machine Learning (Intro)

Projects: Weather App, Bookstore System, Personal Finance Tracker

Plus, learn HTML, CSS, Bootstrap, JavaScript, API Integration, and Database Connectivity.

💰 Salary Potential

Starting Package: ₹2.4 LPA

Top Package: ₹18 LPA+

Remote Jobs: 30L+ Available

Industry Size: $465+ Billion

Companies are hiring skilled developers, and we make sure you’re industry-ready in just 90 days.

🏫 Campuses and Reach

Chandigarh (Sector 34A)

Mohali (Phase 8)

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Our expert trainers — Naresh, Shilpy Prasher, and Nancy Sharma — bring years of hands-on development and teaching experience, ensuring personalized support for every student.

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Rated 4.9/5 by 3500+ students, our program has helped thousands build successful IT careers. From freshers to working professionals, everyone finds value and confidence with us.

🎯 How to Get Started?

Book a Free Demo Class

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🧠 “You don’t need a degree to become a Python developer. Just passion, training, and the right mentor.” – Team Excellence Technology

[classbazaarpromos]

Top University-Backed Free Online Courses 2025

Why University-Backed Online Courses Are a Game-Changer

Post-COVID, education has transformed, with top global universities now offering high-quality online programs accessible to anyone with internet access. Platforms like edX, Coursera, and Class Bazaar have opened doors to Ivy League-level education. These university-supported courses provide professional training and often come with verified certificates that enhance LinkedIn profiles and resumes. According to Class Central, global MOOC enrollments—such as Harvard free courses in 2025—surpassed 220 million in 2024, underscoring the growing demand for affordable and flexible learning.

How These Free University Programs Work Offered via platforms like edX and Coursera, these online programs typically run from a few weeks to a full semester. While many courses can be audited for free, certificates usually require payment. Understanding course structure, content quality, and certification options ensures a rewarding learning experience.

What Defines a “University-Backed” Course? A course is university-backed if it is officially created or endorsed by a recognized academic institution. Key indicators include:

University faculty-led instruction

Academic collaboration between departments and platforms

Trusted platforms like edX, Coursera, FutureLearn

Accredited content that mirrors on-campus programs

Do These Courses Offer Free Certificates? Audit for Free – Access videos, readings, and quizzes at no cost.

Certificates – Typically require payment ($49–$199).

Free Certificate Offers – Occasionally available during promotions or via platforms like HarvardX or MIT OCW.

Financial Aid – Coursera offers need-based aid, with a 15-day review period.

Pro Tip: If a certificate adds value to your career, it’s worth applying for aid or paying the fee.

Top Free University Courses Online Harvard University

CS50 (edX): Learn C, Python, and core CS concepts in 12 weeks.

Contract Law (HarvardX): Explore legal reasoning and contract principles.

The Health Effects of Climate Change (edX): Connect climate science to public health.

Stanford University

Machine Learning by Andrew Ng (Coursera): Learn AI fundamentals and algorithms.

Game Theory (Coursera): Understand strategic decision-making in business and life.

MIT

Intro to Computer Science (edX): Python-focused course for beginners.

Supply Chain Analytics (MITx): Apply analytics to improve logistics.

Yale University

The Science of Well-Being (Coursera): Boost your happiness using psychological tools.

University of Michigan

Programming for Everybody (Coursera): Beginner-friendly Python course.

How to Enroll for Free Go to Class Bazaar – A trusted site listing top free university-backed MOOCs.

Search & Filter – Find courses by subject, university, or difficulty level.

Select & Enroll – Click to be redirected to platforms like Coursera or edX.

Choose “Audit” Mode – Learn free of charge without a certificate.

Apply for Aid if Needed – Most platforms offer support for certificate costs.

[codingbrushup]

Top 10 Free Coding Tutorials on Coding Brushup You Shouldn’t Miss

If you're passionate about learning to code or just starting your programming journey, Coding Brushup is your go-to platform. With a wide range of beginner-friendly and intermediate tutorials, it’s built to help you brush up your skills in languages like Java, Python, and web development technologies. Best of all? Many of the tutorials are absolutely free.

In this blog, we’ll highlight the top 10 free coding tutorials on Coding BrushUp that you simply shouldn’t miss. Whether you're aiming to master the basics or explore real-world projects, these tutorials will give you the knowledge boost you need.

1. Introduction to Python Programming – Coding BrushUp Python Tutorial

Python is one of the most beginner-friendly languages, and the Coding BrushUp Python Tutorial series starts you off with the fundamentals. This course covers:

●     Setting up Python on your machine

●     Variables, data types, and basic syntax

●     Loops, functions, and conditionals

●     A mini project to apply your skills

Whether you're a student or an aspiring data analyst, this free tutorial is perfect for building a strong foundation.

📌 Try it here: Coding BrushUp Python Tutorial

2. Java for Absolute Beginners – Coding BrushUp Java Tutorial

Java is widely used in Android development and enterprise software. The Coding BrushUp Java Tutorial is designed for complete beginners, offering a step-by-step guide that includes:

●     Setting up Java and IntelliJ IDEA or Eclipse

●     Understanding object-oriented programming (OOP)

●     Working with classes, objects, and inheritance

●     Creating a simple console-based application

This tutorial is one of the highest-rated courses on the site and is a great entry point into serious backend development.

📌 Explore it here: Coding BrushUp Java Tutorial

3. Build a Personal Portfolio Website with HTML & CSS

Learning to create your own website is an essential skill. This hands-on tutorial walks you through building a personal portfolio using just HTML and CSS. You'll learn:

●     Basic structure of HTML5

●     Styling with modern CSS3

●     Responsive layout techniques

●     Hosting your portfolio online

Perfect for freelancers and job seekers looking to showcase their skills.

4. JavaScript Basics: From Zero to DOM Manipulation

JavaScript powers the interactivity on the web, and this tutorial gives you a solid introduction. Key topics include:

●     JavaScript syntax and variables

●     Functions and events

●     DOM selection and manipulation

●     Simple dynamic web page project

By the end, you'll know how to create interactive web elements without relying on frameworks.

5. Version Control with Git and GitHub – Beginner’s Guide

Knowing how to use Git is essential for collaboration and managing code changes. This free tutorial covers:

●     Installing Git

●     Basic Git commands: clone, commit, push, pull

●     Branching and merging

●     Using GitHub to host and share your code

Even if you're a solo developer, mastering Git early will save you time and headaches later.

6. Simple CRUD App with Java (Console-Based)

In this tutorial, Coding BrushUp teaches you how to create a simple CRUD (Create, Read, Update, Delete) application in Java. It's a great continuation after the Coding Brushup Java Course Tutorial. You'll learn:

●     Working with Java arrays or Array List

●     Creating menu-driven applications

●     Handling user input with Scanner

●     Structuring reusable methods

This project-based learning reinforces core programming concepts and logic building.

7. Python for Data Analysis: A Crash Course

If you're interested in data science or analytics, this Coding Brushup Python Tutorial focuses on:

●     Using libraries like Pandas and NumPy

●     Reading and analyzing CSV files

●     Data visualization with Matplotlib

●     Performing basic statistical operations

It’s a fast-track intro to one of the hottest career paths in tech.

8. Responsive Web Design with Flexbox and Grid

This tutorial dives into two powerful layout modules in CSS:

●     Flexbox: for one-dimensional layouts

●     Grid: for two-dimensional layouts

You’ll build multiple responsive sections and gain experience with media queries, making your websites look great on all screen sizes.

9. Java Object-Oriented Concepts – Intermediate Java Tutorial

For those who’ve already completed the Coding Brushup Java Tutorial, this intermediate course is the next logical step. It explores:

●     Inheritance and polymorphism

●     Interfaces and abstract classes

●     Encapsulation and access modifiers

●     Real-world Java class design examples

You’ll write cleaner, modular code and get comfortable with real-world Java applications.

10. Build a Mini Calculator with Python (GUI Version)

This hands-on Coding BrushUp Python Tutorial teaches you how to build a desktop calculator using Tkinter, a built-in Python GUI library. You’ll learn:

●     GUI design principles

●     Button, entry, and event handling

●     Function mapping and error checking

●     Packaging a desktop application

A fun and visual way to practice Python programming!

Why Choose Coding BrushUp?

Coding BrushUp is more than just a collection of tutorials. Here’s what sets it apart:

✅ Clear Explanations – All lessons are written in plain English, ideal for beginners.  ✅ Hands-On Projects – Practical coding exercises to reinforce learning.  ✅ Progressive Learning Paths – Start from basics and grow into advanced topics.  ✅ 100% Free Content – Many tutorials require no signup or payment.  ✅ Community Support – Comment sections and occasional Q&A features allow learner interaction.

Final Thoughts

Whether you’re learning to code for career advancement, school, or personal development, the free tutorials at Coding Brushup offer valuable, structured, and practical knowledge. From mastering the basics of Python and Java to building your first website or desktop app, these resources will help you move from beginner to confident coder.

👉 Start learning today at Codingbrushup.com and check out the full Coding BrushUp Java Tutorial and Python series to supercharge your programming journey.

[imarticuslearning-course]

Data Science Course With Placement: Your Path to a Guaranteed Career 

If you're looking to break into the tech world with a promising future, a data science course with placement is your best bet. With the increasing demand for skilled data professionals across industries, choosing a job guarantee data science course ensures you don’t just learn—you get placed.

Unlike general certifications, these job-assured programs give you industry-relevant skills and full career support. Whether you're a fresh graduate or a working professional looking to pivot, this is your path to joining the top hiring companies.

Why Choose a Job Guarantee Data Science Course?

Choosing the right course can be overwhelming, but when you opt for a job guarantee data science course, you eliminate the guesswork. These programs are designed to give learners the confidence that their time and money are being invested wisely.

Here’s why a placement-assured course is worth your attention:

You get trained in real-time tools and techniques used in the industry.

You are guaranteed placement assistance or a job after course completion.

You receive mentorship, mock interviews, and profile-building support.

You can explore top data science job roles across various sectors.

You gain practical exposure with real datasets, not just theory.

Key Features of the Best Data Science Program India Offers

The right data science program India will not only cover technical content but also provide the right mix of projects, mentorship, and placement support.

Here’s a short introduction before we go into the features:

With hundreds of online and offline courses out there, the best ones stand out with a hands-on, practical, and career-ready approach. Here's what to look for:

Live sessions by industry experts

Interactive assignments and case studies

Capstone projects with real data

Certifications from recognised institutes

Soft skills and interview training

Personalised mentorship and doubt-clearing sessions

Access to hiring networks and job portals

What You’ll Learn in a Data Science Course With Placement

In these courses, you get an all-around understanding of core and advanced concepts. From basics to expert-level skills, the journey is structured for real-world use cases.

Here's a 50-word explanation:

The course helps you build a strong foundation and then dive deep into complex tools and techniques. You’ll develop both technical expertise and analytical thinking required in top data science job roles.

You’ll master:

Python, SQL, R Programming

Statistics and Probability

Machine Learning Algorithms

Data Visualisation using Tableau & Power BI

Model Deployment and Cloud Tools

Big Data and NLP Basics

Git, GitHub, and Docker for Version Control

Career Support: From Training to Placement

The real value of a data science course with placement lies in its career support. These programs don’t stop at teaching—they help you land a job.

Here’s a brief before the bullet points:

Don’t worry. You’ll be supported throughout your career journey. From creating your first resume to preparing for technical interviews, you’ll be guided every step of the way.

Career services typically include:

1:1 Career Coaching and Guidance

Resume and LinkedIn Profile Building

Mock Interviews with Feedback

HR and Technical Interview Training

Access to Hiring Drives

Job Tracking and Application Support

Top Data Science Job Roles You Can Get

Once you complete a job guarantee data science course, a range of high-paying, in-demand roles becomes available to you. You’re not restricted to one career path.

Here’s a short 50-word intro:

Data science is a vast domain with various subfields. Depending on your strengths, you can explore roles in analytics, engineering, or research.

Some top roles include:

Data Analyst

Data Scientist

Machine Learning Engineer

Business Intelligence Analyst

Data Engineer

NLP Specialist

AI/ML Research Associate

Which Companies Hire Data Science Talent?

The biggest reason learners opt for a data science course with placement is access to top hiring companies. These companies value candidates from structured, career-focused programs.

Here’s a 50-word intro:

Well-established training institutes have direct tie-ups with hiring partners. These companies actively recruit from such courses because the learners are job-ready and well-trained.

Some top recruiters include:

Accenture

EY

TCS

Wipro

Deloitte

Infosys

Flipkart

Capgemini

IBM

Tech Mahindra

What Makes a Job Guarantee Data Science Course Different?

While many courses teach data science, very few back it up with job assurance. A job guarantee data science course is structured with real accountability.

Let’s understand what makes them different:

Placement is contractually promised after course completion.

No placement = Refund clauses in select institutes.

Programs continue mentoring you until you're placed.

Personalised career plans and ongoing support make success more likely.

Real-time performance tracking ensures your progress is monitored.

These features build trust, especially for learners investing time and resources to switch or grow in their careers.

How to Choose the Right Data Science Program in India?

When selecting a data science program India offers, look for transparency and outcomes. Not every course offers real job assurance or access to the top hiring companies.

Here’s a quick 50-word explanation:

With so many options, you need to be smart about picking the right program. Make sure the course includes practical training, experienced mentors, live sessions, and strong placement records.

Checklist before enrolling:

Does it offer 100% job assurance in writing?

Are the trainers industry professionals?

Are career services included?

Is it a project-based curriculum?

Are they tied up with recruitment partners?

FAQs

Q1. Can a non-tech person do a data science course with placement? Yes, why not! Many courses are beginner-friendly and start with the basics. A background in maths or logic is helpful but not mandatory.

Q2. What’s the duration of a job guarantee data science course? Most full-time programs range from 4 to 9 months. Some part-time or weekend options extend up to a year.

Q3. Is job guarantee really reliable? If you enrol with a reputed institute, the job assurance is contractually promised, making it dependable and risk-free.

Q4. Do these courses provide interview preparation? Yes, these programs majorly include resume writing, mock interviews, and even direct placement support through hiring partners.

Q5.  What is the salary expectation after completing this course? Entry-level roles typically start at ₹4–6 LPA, but with experience and project exposure, you can grow fast to ₹10+ LPA roles.

Conclusion

If you're serious about building a career in tech- choosing a data science course with placement is indeed  a smart move. With structured training, real-world projects, and solid career support, you're more likely to land roles in top companies. Make sure to pick a job guarantee data science course that offers the right data science program India needs—practical, guided, and future-ready.

[fancylone]

Your Gateway to the Data-Driven World: Data Analytics Training in Kerala by Zoople Technologies

In a world powered by data, mastering analytics has become more than just an advantage — it’s a necessity. Zoople Technologies, one of Kerala’s premier software training institutes, offers a cutting-edge Data Analytics training program that transforms learners into job-ready data professionals.

🔍 Course Overview

Zoople’s Data Analytics training is designed to provide both foundational knowledge and hands-on skills in key areas of data science. The curriculum is carefully curated to suit fresh graduates, working professionals, and career changers alike.

🧠 What You’ll Learn:

Foundations of Data Analytics: Understand data types, data lifecycle, and the role of analytics in decision-making.

Statistical Analysis: Learn descriptive and inferential statistics critical for interpreting data.

Excel for Analytics: Clean, organize, and analyze data using advanced Excel features.

SQL: Master database querying to retrieve and manipulate data effectively.

Python Programming: Use libraries like Pandas, NumPy, and Matplotlib for data analysis and visualization.

Power BI: Build dynamic dashboards and visual reports.

AWS Introduction: Understand cloud integration in analytics.

Intro to Machine Learning: Explore real-world ML applications with supervised and unsupervised learning.

🚀 Why Zoople Technologies?

Expert Faculty with industry experience

Live Projects for real-world exposure

Job-Oriented Training with mock interviews & resume workshops

Lifetime Placement Assistance

Industry Certification that enhances credibility and job prospects

📍 Location

Institute: Zoople Technologies, Vytilla, Kochi – Kerala’s tech hub

Whether you're looking to land your first job in analytics or upgrade your skills for better opportunities, Zoople Technologies provides the tools, mentorship, and industry exposure to launch a successful data career.

[callofdutymobileindia]

Learn Generative AI from Scratch: A Beginner's Roadmap for 2025

Generative AI is reshaping the world—one prompt, one image, one algorithm at a time. Whether it's ChatGPT writing emails, Midjourney creating stunning visuals, or OpenAI’s Sora generating videos from text, the impact of Generative AI is undeniable. And the best part? You don’t need a PhD to get started. If you're curious about how to learn Generative AI, this beginner’s roadmap for 2025 will guide you through everything you need—from foundational concepts to tools, courses, and real-world projects.

Whether you're a student, software developer, content creator, or complete beginner, there has never been a better time to dive in.

What Is Generative AI?

Before diving into the roadmap, let’s get clear on what Generative AI actually is.

Generative AI refers to artificial intelligence models that can generate new content—text, images, music, video, code, and more—based on patterns learned from existing data. It goes beyond simple prediction models and actually “creates,” making it the most exciting frontier in AI today.

Popular examples:

ChatGPT (text generation)

DALL·E / Midjourney (image generation)

Suno AI (music generation)

Sora (text-to-video)

GitHub Copilot (code generation)

Why You Should Learn Generative AI in 2025?

Here’s why learning Generative AI is a smart move this year:

High demand & salaries: Generative AI roles are among the top-paying jobs in tech.

Cross-industry relevance: From healthcare to entertainment, every field is adopting AI.

Creativity meets technology: You can use AI to generate art, write scripts, or build tools.

Entrepreneurial opportunities: Launch your own AI-based app, tool, or business.

Whether you're a creator, developer, or analyst, understanding Generative AI opens new doors.

Step 1: Understand the Basics of AI and Machine Learning

Before jumping into generative models, you need a basic understanding of AI fundamentals.

What to Learn:

What is Artificial Intelligence?

Machine Learning vs Deep Learning

Types of Machine Learning (supervised, unsupervised, reinforcement)

Neural networks basics

Resources:

Coursera: "AI For Everyone" by Andrew Ng

Khan Academy: Intro to Machine Learning

Google AI: Learn with Google AI

Step 2: Learn Python Programming

Python is the most popular language used in AI development. If you're new to coding, start here.

Key Topics:

Variables, loops, functions

Libraries like NumPy, Pandas

Jupyter Notebooks

APIs and basic scripting

Resources:

freeCodeCamp: Python for Beginners

Codecademy: Learn Python 3

W3Schools: Python Tutorial

Step 3: Learn Deep Learning and Neural Networks

Now that you have the basics, dive deeper into how neural networks work—the backbone of generative AI.

Topics to Cover:

Artificial Neural Networks

Convolutional Neural Networks (CNNs)

Recurrent Neural Networks (RNNs)

Activation functions, backpropagation, loss functions

Tools:

TensorFlow or PyTorch

Google Colab for practice

Resources:

DeepLearning.AI Specialization (Coursera)

Fast.ai: Practical Deep Learning

Step 4: Understand What Makes Generative AI Different

This is where things get exciting. Generative AI is a specific type of deep learning model focused on content creation rather than prediction.

Core Concepts:

Generative Adversarial Networks (GANs)

Variational Autoencoders (VAEs)

Transformer models (BERT, GPT)

Diffusion models (used in image generation tools like DALL·E)

Tools & Libraries:

Hugging Face Transformers

OpenAI API

RunwayML

Stability AI’s Stable Diffusion

Step 5: Explore Popular Generative AI Tools

Even without deep technical skills, you can start playing with and using powerful generative AI tools.

Text Generation:

ChatGPT (conversational AI)

Copy.ai / Jasper (AI writing tools)

Image Generation:

DALL·E 3

Midjourney

Stable Diffusion

Code Generation:

GitHub Copilot

OpenAI Codex

Music & Video:

Suno AI (music)

Sora (OpenAI) (video, launching soon)

Use these tools to explore what’s possible, and try to replicate simple outputs to learn how they work.

Step 6: Learn Prompt Engineering

Prompt engineering is a must-have skill for working with large language models (LLMs) like GPT. It involves crafting inputs that produce desired AI-generated outputs.

What to Learn:

Prompt formats and structures

Chain-of-thought prompting

Role-based prompting

Fine-tuning vs Zero-shot prompting

Resources:

OpenAI Cookbook

DeepLearning.AI: “ChatGPT Prompt Engineering for Developers”

LangChain documentation (for building LLM apps)

Step 7: Take a Structured Generative AI Course

Once you’re comfortable with the tools and concepts, formalize your learning with a certification course.

What to Look For:

Hands-on projects with real-world datasets

Instructors with industry experience

Access to APIs and tools (like OpenAI, Hugging Face)

Certification for your resume

Recommended Course:

Boston Institute of Analytics – Generative AI Certification Program

Live instructor-led sessions

Real-time coding and prompt workshops

Career support and placement assistance

Step 8: Build Your Own Projects

Apply what you’ve learned by creating your own AI-powered projects.

Ideas:

AI chatbot for your portfolio

Text-to-image storytelling app

AI-generated blog or video content

Code assistant plugin

Use GitHub to publish your work and showcase it to potential employers or collaborators.

Step 9: Stay Updated with Generative AI Trends

Generative AI is evolving rapidly. Keep learning by following the latest updates, tools, and research.

Stay in the Loop:

arXiv.org for AI research papers

OpenAI Blog

Hugging Face Forums

YouTube channels: Two Minute Papers, Yannic Kilcher

FAQs – Learn Generative AI

Q1. Do I need a tech background to learn Generative AI? Not necessarily. Many tools today are beginner-friendly, and several courses are tailored for non-tech professionals like marketers and designers.

Q2. How long does it take to learn Generative AI? With consistent effort, you can grasp the basics in 3–4 months. Full proficiency with projects may take 6–12 months.

Q3. Is Generative AI a good career choice in 2025? Yes. Roles like AI engineer, prompt engineer, LLM developer, and creative technologist are in high demand.

Q4. Can I use Generative AI without coding? Absolutely. Tools like ChatGPT, Canva AI, and Jasper let you generate content without writing any code.

Final Thoughts

Learning Generative AI from scratch in 2025 is not only possible—it’s one of the smartest decisions you can make. With free tools, beginner-friendly platforms, and structured courses, there’s never been a better time to start.

Whether you're curious about AI-generated art, eager to automate content creation, or preparing for a career in artificial intelligence, this roadmap will guide you from zero to proficient—step by step.

So don’t wait. Start your Generative AI journey today and future-proof your skills in the age of intelligent creativity.

[vidyapun-education]

Bachelor of Science (B.Sc) in Computer Science – Build the Future with Code

Pursue a future-proof career with the B.Sc in Computer Science program, designed for students passionate about technology, programming, and innovation. This 3-year undergraduate course provides a strong foundation in:

Programming Languages (C, C++, Java, Python) Data Structures & Algorithms Operating Systems & Computer Networks Database Management Systems (DBMS) Software Engineering & Web Development Artificial Intelligence & Machine Learning (Intro level)

Whether you're aiming for a career in software development, data science, cybersecurity, or higher studies like M.Sc or MCA, this program opens doors to exciting opportunities in the tech industry.

Practical learning & projects Ideal for IT careers & competitive exams Industry-ready skills & certifications

Start your tech journey today with a degree that powers innovation. Explore more on https://vidyapun.com/course/bachelor/bsc-in-computer-science

[sruthypm]

🎯 Searching for the Best Data Science Course in Kerala? Here’s Why Techmindz Tops the List

If you're someone who's fascinated by numbers, trends, and the idea of making smarter decisions through data — congratulations, you're already halfway into the world of Data Science.

Now, the only question is: Where can you learn it right? If you’ve Googled “best data science course in Kerala,” chances are you’ve seen a dozen names. But one name that consistently stands out is Techmindz — and here’s why.

📌 The Rising Demand for Data Science Experts

Let’s face it — we’re living in the age of Big Data. Every company, regardless of industry, is looking for data professionals who can read between the lines, find patterns, and create actionable insights.

From predicting customer behavior to improving healthcare outcomes, Data Science is not just a profession — it’s a superpower. And Techmindz is here to help you master it.

🧠 What Makes Techmindz the Best Data Science Course Provider in Kerala?

At Techmindz, we believe that learning should be relevant, real, and results-driven. That’s why our Data Science course is designed by industry experts who understand exactly what employers are looking for.

✅ Industry-Centric Curriculum

Our course is built around real business scenarios and focuses on tools and techniques used by data scientists in the field today — including Python, R, SQL, Excel, Machine Learning, Power BI, and more.

✅ Hands-On Projects

You’ll work on live datasets, simulate real-world case studies, and build a portfolio that speaks louder than any resume.

✅ Flexible Learning Options

Whether you're in Kochi or Kottayam, our online + offline hybrid model means learning fits into your schedule, not the other way around.

✅ Placement Support & Career Mentoring

We don’t just train you — we prepare you for the job market with soft skills training, mock interviews, and access to a network of hiring companies.

🧾 What’s in the Course?

📌 Python & Data Analytics Fundamentals

📊 Data Visualization (Power BI & Tableau)

📈 Machine Learning Algorithms

🔍 Exploratory Data Analysis (EDA)

🧠 Intro to AI & Deep Learning

☁️ Working with Cloud Platforms

🧪 Capstone Projects & Industry Simulations

🎓 Who Should Join?

Students & fresh graduates looking to build a career in tech

Working professionals eager to upskill in a high-demand field

IT professionals aiming to switch to a data role

Entrepreneurs wanting to leverage data for business growth

Don’t worry if you’re not from a programming background — our foundation module will bring you up to speed!

🏆 Why Techmindz is Called the Best

We don’t just promise skills — we deliver outcomes. Our alumni are now working as:

Data Analysts

Business Intelligence Experts

Junior Data Scientists

Machine Learning Engineers

Research Assistants in top MNCs and startups across India

📣 Ready to Get Started?

Your search for the best data science course in Kerala ends here. With Techmindz, you’re not just taking a course — you’re starting a transformation. Whether you're planning to enter the IT field or upgrade your current skills, this is your moment.

📞 Call us today 📍 Visit our Kochi campus 💻 Join our next online info session

Let’s turn your interest in data into a thriving, future-ready career.

[alcoanalysis]

Intro to Web Scraping

Chances are, if you have access to the internet, you have heard of Data Science. Aside from the buzz generated by the title ‘Data Scientist’, only a few in relevant fields can claim to understand what data science is. The majority of people think, if at all, that a data scientist is a mad scientist type able to manipulate statistics and computers to magically generate crazy visuals and insights seemingly out of thin air.

Looking at the plethora of definitions to be found in numerous books and across the internet of what data science is, the layman’s image of a data scientist may not be that far off.

While the exact definition of ‘data science’ is still a work in progress, most in the know would agree that the data science universe encompasses fields such as:

Big Data

Analytics

Machine Learning

Data Mining

Visualization

Deep Learning

Business Intelligence

Predictive Modeling

Statistics

Data Source: Top keywords

Image Source – Michael Barber

Further exploration of the skillset that goes into what makes a data scientist, consensus begins to emerge around the following:

Statistical Analysis

Programming/Coding Skills: - R Programming; Python Coding

Structured Data (SQL)

Unstructured Data (3-5 top NoSQL DBs)

Machine Learning/Data Mining Skills

Data Visualization

Big Data Processing Platforms: Hadoop, Spark, Flink, etc.

Structured vs unstructured data

Structured data refers to information with a high degree of organization, such that inclusion in a relational database is seamless and readily searchable by simple, straightforward search engine algorithms or other search operation

Examples of structured data include numbers, dates, and groups of words and numbers called strings.

Unstructured data (or unstructured information) is information that either does not have a pre-defined data model or is not organized in a pre-defined manner. Unstructured information is typically text-heavy, but may contain data such as dates, numbers, and facts as well. This results in irregularities and ambiguities that make it difficult to understand using traditional programs as compared to data stored in fielded form in databases or annotated (semantically tagged) in documents.

Examples of "unstructured data" may include books, journals, documents, metadata, health records, audio, video, analog data, images, files, and unstructured text such as the body of an e-mail message, Web pages, or word-processor document. Source: Unstructured data - Wikipedia

Implied within the definition of unstructured data is the fact that it is very difficult to search. In addition, the vast amount of data in the world is unstructured. A key skill when it comes to mining insights out of the seeming trash that is unstructured data is web scraping.

What is web scraping?

Everyone has done this: you go to a web site, see an interesting table and try to copy it over to Excel so you can add some numbers up or store it for later. Yet this often does not really work, or the information you want is spread across a large number of web sites. Copying by hand can quickly become very tedious.

You’ve tried everything else, and you haven’t managed to get your hands on the data you want. You’ve found the data on the web, but, alas — no download options are available and copy-paste has failed you. Fear not, there may still be a way to get the data out. Source: Data Journalism Handbook

As a data scientist, the more data you collect, the better your models, but what if the data you want resides on a website? This is the problem of social media analysis when the data comes from users posting content online and can be extremely unstructured. While there are some websites who support data collection from their web pages and have even exposed packages and APIs (such as Twitter), most of the web pages lack the capability and infrastructure for this. If you are a data scientist who wants to capture data from such web pages then you wouldn’t want to be the one to open all these pages manually and scrape the web pages one by one. Source: Perceptive Analytics

Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites. Web scraping software may access the World Wide Web directly using the Hypertext Transfer Protocol, or through a web browser. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a bot or web crawler. It is a form of copying, in which specific data is gathered and copied from the web, typically into a central local database or spreadsheet, for later retrieval or analysis. Source: Wikipedia

Web Scraping is a method to convert the data from websites, whether structured or unstructured, from HTML into a form on which analysis can be performed.

The advantage of scraping is that you can do it with virtually any web site — from weather forecasts to government spending, even if that site does not have an API for raw data access. While this method is very powerful and can be used in many places, it requires a bit of understanding about how the web works.

There are a variety of ways to scrape a website to extract information for reuse. In its simplest form, this can be achieved by copying and pasting snippets from a web page, but this can be unpractical if there is a large amount of data to be extracted, or if it spread over a large number of pages. Instead, specialized tools and techniques can be used to automate this process, by defining what sites to visit, what information to look for, and whether data extraction should stop once the end of a page has been reached, or whether to follow hyperlinks and repeat the process recursively. Automating web scraping also allows to define whether the process should be run at regular intervals and capture changes in the data.

https://librarycarpentry.github.io/lc-webscraping/

 Web Scraping with R

Atop any data scientist’s toolkit lie Python and R. While python is a general purpose coding language used in a variety of situations; R was built from the ground up to mold statistics and data. From data extraction, to clean up, to visualization to publishing; R is in use. Unlike packages such as tableau, Stata or Matlab which are skewed either towards data manipulation or visualization, R is a general purpose statistical language with functionality cutting across all data management operations. R is also free and open source which contributes to making it even more popular.

To extend the boundaries limiting data scientists from accessing data from web pages, there are packages based on ‘Web scraping’ available in R. Let us look into web scraping technique using R.

Harvesting Data with RVEST

R. Hadley Wickham authored the rvest package for web scraping using R which will be demonstrated in this tutorial. Although web scraping with R is a fairly advanced topic it is possible to dive in with a few lines of code within a few steps and appreciate its utility, versatility and power.

We shall use 2 examples inspired by Julia Silge in her series cool things you can do with R in a tweet:

Scraping the list of districts of Uganda

Getting the list of MPs of the Republic of Rwanda

[bhumi1066]

Top Online Programming Courses for Beginners and Experts

Whether you're taking your first step into the world of coding or want to level up your existing skills, enrolling in online programming courses is a great choice. At CodeWithTLS, we offer comprehensive courses that cater to both beginners and advanced learners, providing the perfect learning experience to boost your career.

Why Choose CodeWithTLS for Your Coding Journey?

When it comes to mastering programming, choosing the right platform matters. CodeWithTLS offers industry-relevant courses, hands-on projects, and expert mentorship to help you gain practical skills. Our flexible learning environment makes it easy to learn coding online, whether you're studying part-time or full-time.

Beginner-Friendly Courses to Kickstart Your Career

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Intro to C Programming: Develop problem-solving skills through structured programming using C.

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Full-Stack Web Development: Build complete web applications using frameworks like React, Node.js, and Express.

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Get Certified and Advance Your Career

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