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Repost from Python Learning

Python for Data Visualization: The Complete Masterclass Transforming Data into Insights: A Comprehensive Guide to Python-based Data Visualization Rating ⭐️: 4.6 out 5 Students 👨‍🎓 : 29,613 Duration ⏰ : 3.5 hours on-demand video Created by 👨‍🏫: Meta Brains 🔗 Course Link ⚠️ Its free for first 1000 enrollments only! #python #data_visualization ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @bigdataspecialist for more👈

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Python for Data Visualization: The Complete Masterclass

Transforming Data into Insights: A Comprehensive Guide to Python-based Data Visualization

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Data Science Full Course For Beginners 2024 Fundamentals of Data Science: Understand the basics, including data types, data collection, and data cleaning. Statistics & Probability: Dive into the math that powers data analysis. Data Visualization: Learn to create insightful visual representations of data. Machine Learning: Get hands-on with algorithms and models that make predictions based on data. Tools & Technologies: Master the use of Python, R, SQL, and key data science libraries and frameworks. Real-World Projects: Apply your knowledge on real data science problems and solutions. 🆓 Free Online Course 🎬 video lesson 🏃‍♂️ Self paced Duration ⏰: 6-7 hours worth of material Source: simplilearn 🔗 Course Link #data_science #machinelearning ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @datascience_bds for more👈

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Data Science Full Course For Beginners 2024 | Learn Data Science In 6 Hours | Simplilearn

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Data Science Full Course For Beginners 2024 by simplilearn is dedicated to help aspiring data scientists and data analysts about the fundamentals of data scientists. Learn Data Science In 12 Hours by Simplilearn will covet the following Welcome to our comprehensive beginner's guide to Data Science for 2024! 🚀 Whether you're just starting out or looking to refresh your knowledge, this course is designed to provide you with a solid foundation in Data Science. 🔍 What You Will Learn: Fundamentals of Data Science: Understand the basics, including data types, data collection, and data cleaning. Statistics & Probability: Dive into the math that powers data analysis. Data Visualization: Learn to create insightful visual representations of data. Machine Learning: Get hands-on with algorithms and models that make predictions based on data. Tools & Technologies: Master the use of Python, R, SQL, and key data science libraries and frameworks. Real-World Projects: Apply your knowledge on real data science problems and solutions. ✅ Subscribe to our Channel to learn more about the top Technologies:

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5 Best beginner-friendly data science projects! 1-Loan Approval Prediction 2-Credit Card Fraud Detection 3-Netflix Movies and TV Shows Analysis 4-Sentiment Analysis of Tweets 5-Weather Data Analysis These projects are ideal for beginners who want to grasp the fundamentals and get closer to solving real-life projects. How to choose the right portfolio project? Here are my best tips: Pick What You Like: Choose a topic you enjoy to keep the project fun. Show Your Skills: Make sure your project shows off what you can do, like organizing data or making charts. Keep It Simple: Start with a simple project that you can expand later. Use Available Data: Choose a project with easy-to-find data.

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Data Analyst Roadmap

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Learning To Love Data Science

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transaction-fraud-detection A data science project to predict whether a transaction is a fraud or not. Creator: juniorcl Stars ⭐️: 118 Forked By: 65 https://github.com/juniorcl/transaction-fraud-detection #datascience ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

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GitHub - juniorcl/transaction-fraud-detection: A data science project to predict whether a transaction is a fraud or not.

A data science project to predict whether a transaction is a fraud or not. - juniorcl/transaction-fraud-detection

Learn Statistical Data Analysis with Python Perform Statistical Data Analysis Techniques with the Python Programming Language. Practice Notebook included. Rating ⭐️: 4.1 out 5 Students 👨‍🎓 : 4,234 Duration ⏰ : 1hr 2min of on-demand video Created by 👨‍🏫: Valentine Mwangi 🔗 Course Link #datascience #dataanalysis #python ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @datascience_bds for more👈

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Free Data Science Tutorial - Learn Statistical Data Analysis with Python

Perform Statistical Data Analysis Techniques with the Python Programming Language. Practice Notebook included. - Free Course

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https://instagram.com/citizendatascientist?igshid=MzMyNGUyNmU2YQ== 13 Nov 2023 to downward

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What is data science Data science, in its most basic terms, can be defined as obtaining insights and information, really anything of value, out of data. Like any new field, it's often tempting but counterproductive to try to put concrete bounds on its definition. This is data science. This is not. In reality, data science is evolving so fast and has already shown such enormous range of possibility that a wider definition is essential to understanding it. And while it's hard to pin down a specific definition, it's quite easy to see and feel its impact. Data science, when applied to different fields can lead to incredible new insights. And the folks that are using it are already reaping the benefits… It has become ubiquitous, even more so for people who work in tech. We've gone so far as to personify data in everyday conversation. We ask what it means, what it says. But do we even know what it is? In the context of data science, the only form of data that matters is digital data. Digital data is information that is not easily interpreted by an individual but instead relies on machines to interpret, process, and alter it. The words you are reading on your computer screen are an example of this. These digital letters are actually a systematic collection of ones and zeros that encodes to pixels in various hues and at a specific density. 🔗 Read More ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

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What is Data Science?

Data science is on a lot of people's minds. But WTF is data science? Let us show you.

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