#python learning course

[iihtsuratsblog]

Master Python in 2023: Unleash the Power of Its Effective Approach

Python is a versatile and powerful programming language that has gained immense popularity among developers and tech enthusiasts. Its simplicity, readability, and vast array of libraries and frameworks make it an ideal choice for various applications, ranging from web development to data analysis and artificial intelligence. If you've been considering learning Python or want to enhance your coding skills, enrolling in a Python course can be a game-changer for your career.

We’ll explore the benefits of taking a Python course and how it can pave the way for your coding succes

Building a Solid Foundation:

A Python course provides beginners with a solid foundation in programming. You'll start from scratch, learning the basics of Python syntax, data types, control flow, and functions. By mastering these fundamental concepts, you'll develop a strong programming mindset that can be applied to other languages as well. Read More : Learn Python in 2023 & Become an Expert through its Effective Approach

[starbuck]

going into my final week of classes and we always have one last week after the final paper (so the professors have time for grading) where typically the only work we have is one last discussion post.

usually, this post is pretty simple and light (to go easy on us after the final). my ethics class is like “summarize your conclusions from your final paper! :)” and my communications class is like “tell the class about your career goals! :)”

meanwhile, statistics…

[codingquill]

SQL Fundamentals #1: SQL Data Definition

Last year in college , I had the opportunity to dive deep into SQL. The course was made even more exciting by an amazing instructor . Fast forward to today, and I regularly use SQL in my backend development work with PHP. Today, I felt the need to refresh my SQL knowledge a bit, and that's why I've put together three posts aimed at helping beginners grasp the fundamentals of SQL.

Understanding Relational Databases

Let's Begin with the Basics: What Is a Database?

Simply put, a database is like a digital warehouse where you store large amounts of data. When you work on projects that involve data, you need a place to keep that data organized and accessible, and that's where databases come into play.

Exploring Different Types of Databases

When it comes to databases, there are two primary types to consider: relational and non-relational.

Relational Databases: Structured Like Tables

Think of a relational database as a collection of neatly organized tables, somewhat like rows and columns in an Excel spreadsheet. Each table represents a specific type of information, and these tables are interconnected through shared attributes. It's similar to a well-organized library catalog where you can find books by author, title, or genre.

Key Points:

Tables with rows and columns.

Data is neatly structured, much like a library catalog.

You use a structured query language (SQL) to interact with it.

Ideal for handling structured data with complex relationships.

Non-Relational Databases: Flexibility in Containers

Now, imagine a non-relational database as a collection of flexible containers, more like bins or boxes. Each container holds data, but they don't have to adhere to a fixed format. It's like managing a diverse collection of items in various boxes without strict rules. This flexibility is incredibly useful when dealing with unstructured or rapidly changing data, like social media posts or sensor readings.

Key Points:

Data can be stored in diverse formats.

There's no rigid structure; adaptability is the name of the game.

Non-relational databases (often called NoSQL databases) are commonly used.

Ideal for handling unstructured or dynamic data.

Now, Let's Dive into SQL:

SQL is a :

Data Definition language ( what todays post is all about )

Data Manipulation language

Data Query language

Task: Building and Interacting with a Bookstore Database

Setting Up the Database

Our first step in creating a bookstore database is to establish it. You can achieve this with a straightforward SQL command:

CREATE DATABASE bookstoreDB;

SQL Data Definition

As the name suggests, this step is all about defining your tables. By the end of this phase, your database and the tables within it are created and ready for action.

1 - Introducing the 'Books' Table

A bookstore is all about its collection of books, so our 'bookstoreDB' needs a place to store them. We'll call this place the 'books' table. Here's how you create it:

CREATE TABLE books ( -- Don't worry, we'll fill this in soon! );

Now, each book has its own set of unique details, including titles, authors, genres, publication years, and prices. These details will become the columns in our 'books' table, ensuring that every book can be fully described.

Now that we have the plan, let's create our 'books' table with all these attributes:

CREATE TABLE books ( title VARCHAR(40), author VARCHAR(40), genre VARCHAR(40), publishedYear DATE, price INT(10) );

With this structure in place, our bookstore database is ready to house a world of books.

2 - Making Changes to the Table

Sometimes, you might need to modify a table you've created in your database. Whether it's correcting an error during table creation, renaming the table, or adding/removing columns, these changes are made using the 'ALTER TABLE' command.

For instance, if you want to rename your 'books' table:

ALTER TABLE books RENAME TO books_table;

If you want to add a new column:

ALTER TABLE books ADD COLUMN description VARCHAR(100);

Or, if you need to delete a column:

ALTER TABLE books DROP COLUMN title;

3 - Dropping the Table

Finally, if you ever want to remove a table you've created in your database, you can do so using the 'DROP TABLE' command:

DROP TABLE books;

To keep this post concise, our next post will delve into the second step, which involves data manipulation. Once our bookstore database is up and running with its tables, we'll explore how to modify and enrich it with new information and data. Stay tuned ...

Part2

[lifehacksthatwork]

Harvard also has a free introduction to programming with python. You can check it out here: https://cs50.harvard.edu/python/2022/

[python-programming-language]

My latest certificate from Udemy ...

Post #156: Udemy, Loek van den Ouweland, Objekt Oriented Programming (OOP) with Python for beginners, 2025.

[education43]

What Are the Qualifications for a Data Scientist?

In today's data-driven world, the role of a data scientist has become one of the most coveted career paths. With businesses relying on data for decision-making, understanding customer behavior, and improving products, the demand for skilled professionals who can analyze, interpret, and extract value from data is at an all-time high. If you're wondering what qualifications are needed to become a successful data scientist, how DataCouncil can help you get there, and why a data science course in Pune is a great option, this blog has the answers.

The Key Qualifications for a Data Scientist

To succeed as a data scientist, a mix of technical skills, education, and hands-on experience is essential. Here are the core qualifications required:

1. Educational Background

A strong foundation in mathematics, statistics, or computer science is typically expected. Most data scientists hold at least a bachelor’s degree in one of these fields, with many pursuing higher education such as a master's or a Ph.D. A data science course in Pune with DataCouncil can bridge this gap, offering the academic and practical knowledge required for a strong start in the industry.

2. Proficiency in Programming Languages

Programming is at the heart of data science. You need to be comfortable with languages like Python, R, and SQL, which are widely used for data analysis, machine learning, and database management. A comprehensive data science course in Pune will teach these programming skills from scratch, ensuring you become proficient in coding for data science tasks.

3. Understanding of Machine Learning

Data scientists must have a solid grasp of machine learning techniques and algorithms such as regression, clustering, and decision trees. By enrolling in a DataCouncil course, you'll learn how to implement machine learning models to analyze data and make predictions, an essential qualification for landing a data science job.

4. Data Wrangling Skills

Raw data is often messy and unstructured, and a good data scientist needs to be adept at cleaning and processing data before it can be analyzed. DataCouncil's data science course in Pune includes practical training in tools like Pandas and Numpy for effective data wrangling, helping you develop a strong skill set in this critical area.

5. Statistical Knowledge

Statistical analysis forms the backbone of data science. Knowledge of probability, hypothesis testing, and statistical modeling allows data scientists to draw meaningful insights from data. A structured data science course in Pune offers the theoretical and practical aspects of statistics required to excel.

6. Communication and Data Visualization Skills

Being able to explain your findings in a clear and concise manner is crucial. Data scientists often need to communicate with non-technical stakeholders, making tools like Tableau, Power BI, and Matplotlib essential for creating insightful visualizations. DataCouncil’s data science course in Pune includes modules on data visualization, which can help you present data in a way that’s easy to understand.

7. Domain Knowledge

Apart from technical skills, understanding the industry you work in is a major asset. Whether it’s healthcare, finance, or e-commerce, knowing how data applies within your industry will set you apart from the competition. DataCouncil's data science course in Pune is designed to offer case studies from multiple industries, helping students gain domain-specific insights.

Why Choose DataCouncil for a Data Science Course in Pune?

If you're looking to build a successful career as a data scientist, enrolling in a data science course in Pune with DataCouncil can be your first step toward reaching your goals. Here’s why DataCouncil is the ideal choice:

Comprehensive Curriculum: The course covers everything from the basics of data science to advanced machine learning techniques.

Hands-On Projects: You'll work on real-world projects that mimic the challenges faced by data scientists in various industries.

Experienced Faculty: Learn from industry professionals who have years of experience in data science and analytics.

100% Placement Support: DataCouncil provides job assistance to help you land a data science job in Pune or anywhere else, making it a great investment in your future.

Flexible Learning Options: With both weekday and weekend batches, DataCouncil ensures that you can learn at your own pace without compromising your current commitments.

Conclusion

Becoming a data scientist requires a combination of technical expertise, analytical skills, and industry knowledge. By enrolling in a data science course in Pune with DataCouncil, you can gain all the qualifications you need to thrive in this exciting field. Whether you're a fresher looking to start your career or a professional wanting to upskill, this course will equip you with the knowledge, skills, and practical experience to succeed as a data scientist.

Explore DataCouncil’s offerings today and take the first step toward unlocking a rewarding career in data science! Looking for the best data science course in Pune? DataCouncil offers comprehensive data science classes in Pune, designed to equip you with the skills to excel in this booming field. Our data science course in Pune covers everything from data analysis to machine learning, with competitive data science course fees in Pune. We provide job-oriented programs, making us the best institute for data science in Pune with placement support. Explore online data science training in Pune and take your career to new heights!

[legacyaye]

Merry Christmas

[cookiesnerd]

What is Udemy and Its Features?

Udemy is one of the most prominent online learning platforms in the world, providing individuals with access to a vast array of courses across numerous disciplines. Launched in 2010, Udemy has transformed the way people learn by offering flexible, affordable, and comprehensive educational opportunities to millions globally. Whether you are a professional looking to upskill, a student aiming to enhance your knowledge, or a hobbyist pursuing a new interest, Udemy offers a unique and personalized learning experience.

What is Udemy?

Udemy is an online marketplace for learning and teaching. It allows instructors to create and publish courses in their areas of expertise and enables learners to access these courses on-demand. The platform spans over 250,000 courses across a wide range of topics, including technology, business, arts, health, and personal development. With over 73 million learners, 64,000 instructors, and availability in more than 75 languages, Udemy is truly a global learning hub.

The courses on Udemy are user-generated, which means anyone with expertise in a subject can create and sell courses. This democratization of education enables instructors to monetize their skills while providing students with diverse learning options. From coding and graphic design to yoga and cooking, Udemy caters to a wide variety of interests and professional needs.

Features of Udemy

Udemy’s success lies in its robust set of features that make learning and teaching both accessible and effective. Below, we discuss some of its most notable features:

1. Vast Course Library

Udemy boasts one of the largest collections of online courses available. With over 250,000 courses spanning categories such as business, technology, personal development, and lifestyle, there’s something for everyone. Whether you’re a beginner or an advanced learner, Udemy offers courses tailored to various skill levels.

The platform also stays updated with emerging trends, ensuring learners have access to courses in fields like artificial intelligence, blockchain, and digital marketing.

2. Affordable Pricing

One of Udemy’s standout features is its affordability. Unlike traditional education platforms that charge high fees, Udemy courses are often priced between $10 and $100, with frequent discounts and promotions bringing the cost down further. This affordability democratizes learning, making high-quality education accessible to a global audience.

3. Lifetime Access

A unique feature of Udemy is that learners receive lifetime access to the courses they purchase. This means you can revisit the material as often as needed, even after completing the course. This feature is particularly beneficial for complex subjects, where learners may need to review concepts multiple times.

4. Self-Paced Learning

Udemy allows learners to progress at their own pace. There are no strict deadlines or schedules, making it ideal for busy professionals or students who need flexibility. Whether you have a few hours a day or just 20 minutes during lunch breaks, you can tailor your learning schedule to suit your availability.

5. Wide Range of Formats

Courses on Udemy include a mix of video lectures, quizzes, assignments, and supplemental resources such as downloadable PDFs or slides. This variety of formats caters to different learning styles, ensuring that visual, auditory, and kinesthetic learners can benefit from the platform.

6. Mobile-Friendly Platform

Udemy’s mobile app enhances accessibility by allowing learners to study on the go. Available on iOS and Android devices, the app enables offline downloads, making it easy to learn even without an internet connection. This feature is particularly useful for commuters or those in regions with limited internet access.

7. Certificates of Completion

Upon completing a course, Udemy provides a certificate of completion. While these certificates are not accredited, they can still serve as proof of learning for personal or professional purposes. For example, including a Udemy certificate on your resume or LinkedIn profile can demonstrate initiative and self-driven learning.

8. Instructor Opportunities

Udemy empowers experts by allowing them to create and sell courses. The platform provides tools for video creation, course design, and analytics to help instructors deliver high-quality content. Additionally, Udemy’s revenue-sharing model offers a lucrative opportunity for educators and professionals to monetize their skills.

9. Diverse Language Options

With courses available in over 75 languages, Udemy caters to a global audience. This multilingual support ensures that learners from different regions and linguistic backgrounds can access quality education without language barriers.

10. Udemy for Business

Udemy offers a corporate learning solution called Udemy for Business, which provides organizations with a curated selection of courses to train employees. This feature allows companies to upskill their teams, foster professional development, and address skill gaps efficiently. Businesses can track employee progress and identify areas for improvement using Udemy’s analytics.

Advantages of Udemy

Udemy’s features offer several advantages for both learners and instructors:

Flexibility: Learn anytime, anywhere, and at your own pace.

Affordability: Access quality education without breaking the bank.

Diverse Options: Explore a vast array of subjects and skill levels.

Global Reach: Courses are available worldwide in multiple languages.

Community Support: Learners can interact with instructors and fellow students through Q&A sections and forums.

How to Get the Most Out of Udemy

To maximize your learning experience on Udemy, follow these tips:

Read Reviews: Check course ratings, reviews, and instructor credentials before enrolling.

Take Advantage of Discounts: Wait for sales or promotions to purchase courses at discounted prices.

Engage Actively: Participate in quizzes, assignments, and Q&A sections to deepen your understanding.

Leverage Supplemental Resources: Download additional materials provided by instructors to enhance your learning.

Set Clear Goals: Define what you want to achieve before starting a course to stay focused and motivated.

Conclusion

Udemy has revolutionized online education by making learning accessible, flexible, and affordable for millions worldwide. Its extensive course library, user-friendly features, and inclusive approach to teaching and learning make it a standout platform for personal and professional development. Whether you’re acquiring new skills, exploring a hobby, or training your team, Udemy provides the tools and resources to help you succeed.

While it has some limitations, such as variable course quality and non-accredited certificates, the platform’s benefits far outweigh its drawbacks. By choosing the right courses and actively engaging with the material, learners can unlock immense value from Udemy and achieve their educational and career goals.

[tchaikovskym]

im at this point in life where i cannot simply shrink my CV to one page. i have to leave out crucial information

[emexotechnologies]

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[spacechild-glitchypix]

i had completely assumed u knew how to code beforehand you're learning through OL????

Yeah, no, I don't know jack or fuck about coding. All my knowledge basically just comes down to what I can make out by trying to read the game's script files

[aarvyedutech]

TOP 10 courses that have generally been in high demand in 2024-

Data Science and Machine Learning: Skills in data analysis, machine learning, and artificial intelligence are highly sought after in various industries.

Cybersecurity: With the increasing frequency of cyber threats, cybersecurity skills are crucial to protect sensitive information.

Cloud Computing: As businesses transition to cloud-based solutions, professionals with expertise in cloud computing, like AWS or Azure, are in high demand.

Digital Marketing: In the age of online businesses, digital marketing skills, including SEO, social media marketing, and content marketing, are highly valued.

Programming and Software Development: Proficiency in programming languages and software development skills continue to be in high demand across industries.

Healthcare and Nursing: Courses related to healthcare and nursing, especially those addressing specific needs like telemedicine, have seen increased demand.

Project Management: Project management skills are crucial in various sectors, and certifications like PMP (Project Management Professional) are highly valued.

Artificial Intelligence (AI) and Robotics: AI and robotics courses are sought after as businesses explore automation and intelligent technologies.

Blockchain Technology: With applications beyond cryptocurrencies, blockchain technology courses are gaining popularity in various sectors, including finance and supply chain.

Environmental Science and Sustainability: Courses focusing on environmental sustainability and green technologies are increasingly relevant in addressing global challenges.

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[gomstechtalks]

🚀 Ready to take your skills to the next level? Check out this fantastic video on free AI courses with certification. 🤖

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In a rapidly evolving world, staying current with the latest technologies is essential. This video explores an array of free AI courses that offer certification upon completion. Whether you're an aspiring AI professional or just curious about the field, these resources can be a game-changer for your career.

📌 Key Takeaways:

👉Discover a variety of AI courses, from introductory to advanced. 👉Get insights into the skills you'll gain and the industry benefits.

Invest in yourself and open doors to exciting opportunities. Don't miss out on this valuable resource!

AI Free courses with certificate

[uegub]

Exploring the Branches of Artificial Intelligence: A Deep Dive into AI’s Core Areas

AI has turned into a change agent in the current world, manifestations being in industries like healthcare, finance, retail, and transportation. AI is not just one technology—AI is a collection of technologies from various disciplines that cooperate in creating intelligent systems that learn, reason, and decide.

To truly understand AI, it is essential to venture into its subfields. Each field is essential to the operation and evolution of AI. This blog will help unfold the major branches of AI and their real-world applications.

1. Machine Learning (ML)

Machine learning is one of the most popularly known AI branches. It allows machines to learn from data and predict unknown results or make decisions without being explicitly programmed.

Key Aspects of Machine Learning:

Supervised Learning – Machines learn from labeled data in which ancient examples are provided to them for prediction purposes.

Unsupervised Learning – Machines try to find the underlying patterns in the data without having any pre-existing labels.

Reinforcement Learning – Machines learn by trying actions and receiving rewards and are penalized if they take the wrong action.

Real-World Applications:

Fraud detection in banking

Product recommendations in eCommerce

Speech recognition in virtual assistants

2. Natural Language Processing (NLP)

Natural Language Processing enables AI to understand, interpret, and produce human languages. It essentially combines computational linguistics with machine learning to allow communication between a human and a machine.

Key Aspects of NLP:

Speech Recognition – Converting spoken words into text.

Sentiment Analysis – Understanding emotions behind text.

Machine translation – Automatic translation between two languages.

Real-World Applications:

Chatbots and virtual assistants

Automated email filtering

Language translation tools

3.Computer Vision

Via computer vision technologies, AI is capable of interpreting and analyzing visual information from the world, granting machines their capability to "see" and understand images or video.

Key Aspects of computer vision:

Object Detection – In which objects are detected in the image as per the questions that need to be targeted.

Facial Recognition – To recognize and validate a human face.

Image Classification – For categorizing images based on their content.

Real-World Applications:

Security surveillance systems

Self-driven cars

Diagnosis of images in medicine

4. Expert Systems

Expert Systems are models that mimic human behavior in solving problems in a given domain. They rely on a knowledge base and inference engine to perform complex problem-solving.

Key Aspects of Expert Systems:

Knowledge Base – The store of facts and rules.

Inference Engine – Rationally solves a problem.

Real-World Applications:

Systems for medical diagnosis

Risk assessment in finance

Automation in technical support

5. Robotics

Robotics is where AI and mechanical engineering intermingle to create machines that can perform tasks that can otherwise be performed by humans.

Key Aspects of Robotics:

Autonomous Robots – Machines that can operate independently.

Industrial Robots – Used in manufacturing for repetitive tasks.

Humanoid Robots – Acting like humans.

Real-World Applications:

Factory assembly lines

AI prosthetics

Space exploration robots

6. Fuzzy logic

With fuzzy logic, AI can handle uncertainty in instances and make decisions based on incomplete or inaccurate information.

Key Aspects of Fuzzy Logic:

Mimicking human decision-making

Dealing with truth degrees rather than binary outcomes

Real-World Applications:

Temperature controlling systems

AI braking systems for cars

Medical diagnosing systems

7. Neural Networks & Deeplearning

Neural Networks are AI models based on the working of the human brain. Deep Learning involves a subset of neural networks that deal with complex patterning through many layers of artificial neurons.

Key Aspects of Neural Networks:

Artificial Neurons-An artificial neuron is modeled after biological neurons in the brain.

Multi-Layer Processing-This helps in deep learning models to identify complex patterns.

Real-World Applications:

Voice assistants such as Siri and Alexa

Images are recognized on social media platforms

Market predictions

The Growth of AI Impact in India

Artificial intelligence is being adopted fast across the various segments of the country be it the government or private enterprises. Also, AI powered applications are enhanced to improve healthcare accessibility, bank security, or productivity in crops and e-commerce.

With investment hurries and education in AI research, India is emerging as a leader nationally in AI development. Thus, such growing demand increases the need for professionals skilled in AI, data science, and analytics. Cities like Thane provide fabulous platforms for aspiring AI professionals to make their mark. Joining a Data Analytics training institute in thane can be very inspirational to make hands-on experience and get to know about the field.

Conclusion

The world of artificial intelligence is a broad and continually changing one with many sub-disciplines contributing progress toward its goals. And whether it's due to machine or self-learning, robotics, natural language processing, or computer vision, the future of artificial intelligence will ultimately depend on all these areas.

As AI continues to expand and grow in India, one must constantly upskill and stay abreast of the industry for professionals wishing to carve a niche for themselves in this space. The right foundation to kickstart a thriving career in AI and Data Science can be achieved by taking up the best data science courses in thane. With the right knowledge and skills in this context, anyone would join the AI revolution and create an impact for themselves in the industry.

[python-programming-language]

W3Schools - Learn To Code ...

For example: Python ...

Post #114: W3Schools, Learn To Code - With The World's Largest Web Developer Site, 2024.

[samphilip]

https://futurixacademy.com/

Want to Future-Proof Your Career? Why Not Learn Data Science at Futurix

Futurix Academy provides hands-on, career-focused data science training that equips you with industry-ready skills in machine learning, AI, and Python. Their courses are designed for both beginners and professionals, offering flexible learning options and job-secured education to jumpstart your career.