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MIT University has released free online courses. Here are their most popular courses to learn new skills in 2024 1. Introduction to Computer Science and Programming Using Python - https://lnkd.in/e6hEBbAw An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5. 2. Introduction to Computational Thinking and Data Science - https://lnkd.in/emMUJ8_P An introduction to using computation to understand real-world phenomena. 3. Machine Learning with Python - https://lnkd.in/eJsi2vg7 An in-depth introduction to the field of machine learning through hands-on Python projects. 4. Supply Chain Analytics - https://lnkd.in/eJztxKuN Master and apply the core methodologies used in supply chain analysis and modeling, including statistics, regression, optimization and probability. 5. Understanding the World Through Data - https://lnkd.in/es55EKsW Become a data explorer – learn how to leverage data and basic machine learning algorithms to understand the world. 6. Becoming an Entrepreneur - https://lnkd.in/eCqW8r_T Learn the business skills and startup mindset needed to embark on your entrepreneurial path. 7. Shaping Work of the Future - https://lnkd.in/eKfCBNa7 Explore ways to improve job opportunities and develop a personal plan for lifelong career success. 8. Foundations of Modern Finance I - https://lnkd.in/eAv6HG8u A mathematically rigorous framework to understand financial markets delivered with data-driven insights from MIT professors. 9. Probability - The Science of Uncertainty and Data - https://lnkd.in/ecju9zwq Build foundational knowledge of data science with this introduction to probabilistic models. 10. Introduction to Biology - The Secret of Life - https://lnkd.in/eiVVvZTq Explore the secret of life through the basics of biochemistry, genetics, molecular biology, recombinant DNA, genomics and rational medicine. ➡ Get tutorials and guides on using popular AI tools for FREE here: https://lnkd.in/ewyJYCPx #ai #artificialintelligence #innovation #technology #tech #productivity #learning #freecourses

MIT University has released nextgen free online courses. Here are their most popular courses to learn new skills in 2024 1. Introduction to Computer Science and Programming Using Python - https://lnkd.in/e6hEBbAw An introduction to computer science as a tool to solve real-world analytical problems using Python 3.5. 2. Introduction to Computational Thinking and Data Science - https://lnkd.in/emMUJ8_P An introduction to using computation to understand real-world phenomena. 3. Machine Learning with Python - https://lnkd.in/eJsi2vg7 An in-depth introduction to the field of machine learning through hands-on Python projects. 4. Supply Chain Analytics - https://lnkd.in/eJztxKuN Master and apply the core methodologies used in supply chain analysis and modeling, including statistics, regression, optimization and probability. 5. Understanding the World Through Data - https://lnkd.in/es55EKsW Become a data explorer – learn how to leverage data and basic machine learning algorithms to understand the world. 6. Becoming an Entrepreneur - https://lnkd.in/eCqW8r_T Learn the business skills and startup mindset needed to embark on your entrepreneurial path. 7. Shaping Work of the Future - https://lnkd.in/eKfCBNa7 Explore ways to improve job opportunities and develop a personal plan for lifelong career success. 8. Foundations of Modern Finance I - https://lnkd.in/eAv6HG8u A mathematically rigorous framework to understand financial markets delivered with data-driven insights from MIT professors. 9. Probability - The Science of Uncertainty and Data - https://lnkd.in/ecju9zwq Build foundational knowledge of data science with this introduction to probabilistic models. 10. Introduction to Biology - The Secret of Life - https://lnkd.in/eiVVvZTq Explore the secret of life through the basics of biochemistry, genetics, molecular biology, recombinant DNA, genomics and rational medicine. #ai #artificialintelligence #innovation #technology #tech #productivity #learning #freecourses

MIT University offers free online courses (no payment required) Here are 10 FREE courses you don't want to miss: 1. Introduction to Computer Science and Programming Using Python Learn how to write programs to tackle real-world problems using Python. 🦾 https://lnkd.in/eYmkb4bN 2. Machine Learning with Python Learn about the principles and algorithms of machine learning. 🦾 https://lnkd.in/gjzMetQC 3. Understanding the World Through Data Learn how to leverage data and basic machine learning algorithms. 🦾 https://lnkd.in/g8m5CEd6 4. Becoming an Entrepreneur Learn to define your goals as an entrepreneur, perform market research, and design and test your offering. 🦾 https://lnkd.in/gGVxRSdQ 5. Cybersecurity for Critical Urban Infrastructure Learn how to prepare and understand the scale, scope, and impact of cyberattacks on critical urban infrastructure. 🦾 https://lnkd.in/eziWEWiY 6. Foundations of Modern Finance Learn to understand corporate finance and capital budgeting. 🦾 https://lnkd.in/eqGTzfc8 7. The Secret of Life Learn how to describe the building blocks of life. 🦾 https://lnkd.in/eM-kWzZJ 8. The Science of Uncertainty and Data Learn about probabilistic models, random processes, and the basic elements of statistical inference. 🦾 https://lnkd.in/g7VQXvDy 9. Introduction to Computational Thinking and Data Science Learn how to simulate a robot vacuum cleaning a room or model the population dynamics of viruses and drug treatments in a patient's body. 🦾 https://lnkd.in/gFvmbQ24 10. Computational Thinking for Modeling and Simulation Learn how to develop the thought processes involved in formulating a problem so a computer can effectively carry out the solution. 🦾 https://lnkd.in/eRVg7itq Share + Comment any other free courses so others can benefit! ❤️ Follow us There's An AI For That for more helpful posts like this. 🙏 #freeeducation #techskills #onlinecourses #careerdevelopment #lifelonglearning

MIT University offers free online courses (no applications or fees required) Here are 10 FREE courses you don't want to miss: 1. Introduction to Computer Science and Programming Using Python Learn how to write programs to tackle real-world problems using Python. 🦾 https://lnkd.in/eYmkb4bN 2. Machine Learning with Python Learn about the principles and algorithms of machine learning. 🦾 https://lnkd.in/gjzMetQC 3. Understanding the World Through Data Learn how to leverage data and basic machine learning algorithms. 🦾 https://lnkd.in/g8m5CEd6 4. Becoming an Entrepreneur Learn to define your goals as an entrepreneur, perform market research, and design and test your offering. 🦾 https://lnkd.in/gGVxRSdQ 5. Cybersecurity for Critical Urban Infrastructure Learn how to prepare and understand the scale, scope, and impact of cyberattacks on critical urban infrastructure. 🦾 https://lnkd.in/eziWEWiY 6. Foundations of Modern Finance Learn to understand corporate finance and capital budgeting. 🦾 https://lnkd.in/eqGTzfc8 7. The Secret of Life Learn how to describe the building blocks of life. 🦾 https://lnkd.in/eM-kWzZJ 8. The Science of Uncertainty and Data Learn about probabilistic models, random processes, and the basic elements of statistical inference. 🦾 https://lnkd.in/g7VQXvDy 9. Introduction to Computational Thinking and Data Science Learn how to simulate a robot vacuum cleaning a room or model the population dynamics of viruses and drug treatments in a patient's body. 🦾 https://lnkd.in/gFvmbQ24 10. Computational Thinking for Modeling and Simulation Learn how to develop the thought processes involved in formulating a problem so a computer can effectively carry out the solution. 🦾 https://lnkd.in/eRVg7itq Share + Comment any other free courses so others can benefit! ❤️ Follow us There's An AI For That for more helpful posts like this. 🙏 #freeeducation #techskills #onlinecourses #careerdevelopment #lifelonglearning

Science of uncertainty 

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Are you interested in FREE courses you can study from home? We have a wide range of fully-funded courses available in England and Scotland that are perfect for anyone looking to gain new skills and knowledge in a subject. Plus, they can be studied around any other commitments at a time to suit you without needing to attend any classes too! MIT University just released free online courses. No textbooks or fees required. Here are 10 courses you don't want to miss: 1. Introduction to Computer Science and Programming Using Python. Topics: • A Notion of computation • Python programming language Some simple algorithms • Testing & debugging • Informal introduction to algorithmic complexity • Data Structures https://lnkd.in/ddpXwjm3 2. Machine Learning with Python Topics: - ML problem principles Implement & analyze models Choosing suitable models for different apps - ML project implementation: Training, validation, tuning, and feature engineering https://lnkd.in/dPmbTk62 3. Introduction to Computational Thinking and Data Science. Topics: • Plotting with the pylab package • Stochastic programming and statistical thinking • Monte Carlo simulations https://lnkd.in/df6Dr7PX 4. Supply Chain Analytics Topics: • Basic analytical methods • How to apply basic probability models • Statistics in supply chains https://lnkd.in/dtr8gxws 5. Understanding the World Through Data. Topics: • Python programming and the Colab notebook programming environment • Dependent and independent variables https://lnkd.in/dtr8gxws 6. Becoming an Entrepreneur Topics: Overcoming the top myths of entrepreneurship • Defining your goals as an entrepreneur and startup • Identifying business opportunities https://lnkd.in/dF7Zetpg 7. Computational Thinking for Modeling and Simulation - Interpolation methods and their impact on model convergence Numerical integration techniques - Procedures for numerical differentiation https://lnkd.in/dF7Zetpg 8. Foundations of Modern Finance Topics: • Valuation of fixed income securities and common stocks • Risk analysis, APT, Efficient Market Hypothesis • Introduction to corporate finance and capital budgeting https://lnkd.in/dj2KbHcM 9. The Secret of Life Topics: How to describe the building blocks of life and how their interactions dictate structure and function in biology How to predict genotypes and phenotypes given genetics data https://lnkd.in/dj2KbHcM 10. The Science of Uncertainty and Data Topics: • The basic structure and elements of probabilistic models • Random variables, their distributions, means, andvariances • Inference methods More https://lnkd.in/dhp5GnYS Follow the Jobshalaa- Find here your dream jobs channel on WhatsApp: https://lnkd.in/dVnaJEuC

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MIT University has made its online courses available for free. No payment or fees are necessary. Here are 8 valuable courses for 2024 (Mostly AI related): 1. Introduction to Computer Science and Programming Using Python What you'll learn: • The concept of computation • The Python programming language • Testing and debugging • An overview of algorithmic complexity •Data structures data structures 🔗 https://lnkd.in/g6a695xt 2. Introduction to Computational Thinking and Data Science What you’ll learn: - Plotting with the pylab package - Stochastic programming and statistical analysis - Monte Carlo simulations 🔗 https://lnkd.in/gvf-Qvpg 3. Machine Learning with Python What you’ll learn: - Principles of machine learning problems - Implementing and analyzing models - Organizing and executing ML projects 🔗 https://lnkd.in/gDyWf3Rv 4. Understanding the World Through Data  What you’ll learn: - Python programming - Dependent and independent variables - Identifying relationships between data 🔗 https://lnkd.in/gXyrJqvV 5. Becoming an Entrepreneur What you’ll learn: - Defining goals for your startup and entrepreneurial ventures - Conducting market research and selecting your target customer - Designing and testing your product or service offering 🔗 https://lnkd.in/ghU9NsfX 6. Shaping Work of the Future What you’ll learn: - The current state of the labor market - The impact of emerging technologies on work and skill demands - Resources and tools for planning your career path in the future workplace 🔗 https://lnkd.in/gG2Mvprk 7. Foundations of Modern Finance What you’ll learn: - Valuation of fixed-income securities and common stocks - Risk analysis, Arbitrage Pricing Theory (APT), Efficient Market Hypothesis - Valuation of derivative securities, and more 🔗 https://lnkd.in/gwzc8pyN 8. Probability - The Science of Uncertainty and Data What you’ll learn: - Basic structure and components of probabilistic models - Random variables, their distributions, means, and variances - Probabilistic calculations, inference methods, and more 🔗 https://lnkd.in/g3wA7_fv - Follow Ibney Mahmud for more valuable content Like and Repost to help others know about this