{"product_id":"python-for-machine-learning-and-data-science-course","title":"Python for Machine Learning \u0026 Data Science Course","description":"\u003cp class=\"course-intro\"\u003eThis comprehensive certificate combines Python, data science, and machine learning into one course. You begin with Python fundamentals and gradually build toward advanced skills like predictive modeling and neural networks. Through hands-on projects using tools like Pandas, NumPy, Matplotlib, and TensorFlow, you will gain valuable experience you can use in roles related to data analysis, machine learning, or Python development.\u003c\/p\u003e\u003cul class=\"course-facts\"\u003e\n\u003cli\u003e120 course hrs\u003c\/li\u003e\n\u003cli\u003eCode GES3129\u003c\/li\u003e\n\u003cli\u003eOpen enrollment\u003c\/li\u003e\n\u003cli\u003eSelf paced\u003c\/li\u003e\n\u003c\/ul\u003e\u003cnav class=\"course-nav\"\u003e\u003ca href=\"#overview\"\u003eOverview\u003c\/a\u003e\u003ca href=\"#objective\"\u003eObjective\u003c\/a\u003e\u003ca href=\"#outline\"\u003eOutline\u003c\/a\u003e\u003ca href=\"#requirements\"\u003eRequirements\u003c\/a\u003e\u003ca href=\"#prerequisites\"\u003ePrerequisites\u003c\/a\u003e\u003ca href=\"#instructor\"\u003eInstructor\u003c\/a\u003e\u003ca href=\"#faqs\"\u003eFAQs\u003c\/a\u003e\u003c\/nav\u003e\u003ch3 id=\"overview\"\u003eOverview\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003eData scientists and software developers are growing at a rate significantly faster than the average, according to the U.S. Bureau of Labor Statistics, with an average of 200,000 combined annual job openings projected through 2033. Paired with six-figure salaries, now is a great time to join this in-demand industry.\u003c\/p\u003e\n\u003cp\u003eThis Python course is designed for those who want to learn how to work with data from the ground up with no prior coding experience. The course starts by covering the basics of Python programming before moving into more core data science skills like statistical analysis and regression modeling. From there, you will gain hands-on experience building classification models, tuning machine learning algorithms, and even training neural networks using Keras and TensorFlow.\u003c\/p\u003e\n\u003cp\u003eDuring this Python training program, you will complete practical projects that mirror real-world data workflows, such as employee retention prediction, car pricing models, and image recognition using the MNIST dataset. These projects help reinforce skills and serve as portfolio pieces for job applications. The data science and machine learning training curriculum is structured to help you build confidence in using Python for data analysis and machine learning, even if you have no technical background.\u003c\/p\u003e\n\u003c\/div\u003e\u003ch3 id=\"objective\"\u003eObjective\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003ePython fundamentals such as variables, data types, functions, loops, and control flow\u003c\/li\u003e \u003cli\u003eCreate and manipulate DataFrames using Pandas and perform exploratory data analysis (EDA)\u003c\/li\u003e \u003cli\u003ePerform linear regression and evaluate models using a train-test split and residuals\u003c\/li\u003e \u003cli\u003eBuild and tune k-nearest neighbors models and explore feature scaling and distance metrics\u003c\/li\u003e \u003cli\u003eTrain ensemble models like random forests using scikit-learn and practice neural network design in TensorFlow\u003c\/li\u003e \u003cli\u003eSubmit predictions to real-world datasets using Kaggle workflows and build professional dashboards\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eHow you will benefit\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eAdvanced your skill set with beginner-friendly Python and data science training, with no experience required\u003c\/li\u003e \u003cli\u003eReview lessons focusing on practical skills that employers are looking for when hiring data and machine learning experts\u003c\/li\u003e \u003cli\u003eDevelop in-demand skills using tools such as Pandas, NumPy, Matplotlib, scikit-learn, and TensorFlow\u003c\/li\u003e \u003cli\u003eApply your newly acquired skills across diverse professional contexts and data-related roles\u003c\/li\u003e \u003cli\u003eUse your completed practical projects to boost your professional portfolio and stand out in the job market\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\u003ch3 id=\"outline\"\u003eOutline\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\u003col style=\"list-style-type: upper-roman;\"\u003e \u003cli\u003ePython for Data Science Fundamentals \u003col style=\"list-style-type: upper-alpha;\"\u003e \u003cli\u003eBoolean Conditions\u003c\/li\u003e \u003cli\u003eDatetime and Random\u003c\/li\u003e \u003cli\u003eLoops and Strings\u003c\/li\u003e \u003cli\u003eDictionaries\u003c\/li\u003e \u003cli\u003eNumPy\u003c\/li\u003e \u003cli\u003ePandas DataFrames\u003c\/li\u003e \u003cli\u003eBar Charts with Matplotlib\u003c\/li\u003e \u003cli\u003eLine \u0026amp; Scatter Charts with Matplotlib\u003c\/li\u003e \u003cli\u003ePivot Population Data \u0026amp; Charts\u003c\/li\u003e \u003cli\u003eBasic Regression Analysis\u003c\/li\u003e \u003cli\u003eIntroduction to Python and Colab\/Jupyter Notebook setup for machine learning projects\u003c\/li\u003e \u003cli\u003eLoad and explore car sales data using Pandas DataFrames\u003c\/li\u003e \u003cli\u003ePerform data slicing and initial statistical analysis: median, mode, standard deviation, variance, and percentiles\u003c\/li\u003e \u003cli\u003eVisualize uniform and normal distributions with Matplotlib\u003c\/li\u003e \u003cli\u003eLearn linear regression by modeling attendance vs. concessions\u003c\/li\u003e \u003cli\u003eBuild prediction functions and apply user inputs\u003c\/li\u003e \u003cli\u003eExtend models with polynomial regressions\u003c\/li\u003e \u003c\/ol\u003e \u003c\/li\u003e \u003cli\u003eSupervised Learning Essentials \u003col style=\"list-style-type: upper-alpha;\"\u003e \u003cli\u003eK-Nearest Neighbors\u003c\/li\u003e \u003cli\u003eTitanic Survival Prediction\u003c\/li\u003e \u003cli\u003eComputer Vision: Convolutional Neural Networks (CNN) - Part 1: Grayscale Images\u003c\/li\u003e \u003cli\u003eComputer Vision: Convolutional Neural Networks (CNN) - Part 2: RGB (Color) Images\u003c\/li\u003e \u003cli\u003eSentiment Analysis\u003c\/li\u003e \u003c\/ol\u003e \u003c\/li\u003e\n\u003c\/ol\u003e\u003c\/div\u003e\u003ch3 id=\"requirements\"\u003eRequirements\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003eRequirements:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eHardware Requirements:\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eThis course can be taken on either a PC or Mac. Chromebooks are not compatible.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eSoftware Requirements:\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003ePC: Windows 10 or later.\u003c\/li\u003e \u003cli\u003eMac: macOS 12 or later.\u003c\/li\u003e \u003cli\u003eBrowser: The latest version of Google Chrome or Mozilla Firefox is preferred. Microsoft Edge and Safari are also compatible.\u003c\/li\u003e \u003cli\u003e Microsoft Word Online \u003c\/li\u003e \u003cli\u003e Adobe Acrobat Reader \u003c\/li\u003e \u003cli\u003e Google Colab \u003c\/li\u003e \u003cli\u003eSoftware must be installed and fully operational before the course begins.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eOther:\u003c\/p\u003e\n\u003cul\u003e \u003cli\u003eEmail capabilities and access to a personal email account.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eInstructional Material Requirements:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe instructional materials required for this course are included in enrollment and will be available online.\u003c\/p\u003e\n\u003c\/div\u003e\u003ch3 id=\"prerequisites\"\u003ePrerequisites\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003ePrerequisites:\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThis course is for beginners. Students must be comfortable using a computer. No other prior knowledge is required.\u003c\/p\u003e You've got questions.\u003cbr\u003e We're here to help.\u003c\/div\u003e\u003ch3 id=\"instructor\"\u003eInstructor\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003eBrian McClain\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eBrian McClain is a senior instructor and program director at Noble Desktop, where he teaches Python, data science, machine learning, and AI courses. His expertise covers several programming languages (including Python, R, and SwiftUI) and advanced frameworks (SQL, Flask, and OpenAI technologies). Brian holds certifications as a New York State Instructor of Computer Applications and a Licensed Private Career School Teacher. He earned his Bachelor's degree in Political Science from Duke University.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eColin Jaffe\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eColin Jaffe is a programmer and curriculum developer at Noble Desktop. He has taught coding and software development at Noble Desktop as well as various other educational institutions. Colin's teaching focuses on algorithmic thinking, application logic, and practical frameworks such as React and Python. His professional background includes front-end development and data analytics, and he brings creativity to technical instruction, shaped by his experience as a self-taught programmer.\u003c\/p\u003e\n\u003c\/div\u003e\u003ch3 id=\"faqs\"\u003eFAQs\u003c\/h3\u003e\u003cdiv class=\"course-sec\"\u003e\n\u003cp\u003e\u003cstrong\u003eWhat is a data scientist?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eA data scientist is a professional who uses data to solve problems and help organizations make better decisions. They collect, clean, and analyze large sets of data, often using tools like Python, R, SQL, and machine learning algorithms. Their work helps companies understand trends, predict future outcomes, and improve operations.\u003c\/p\u003e\n\u003cp\u003eData scientists often work in industries like technology, finance, healthcare, and retail. They need strong skills in statistics, programming, and communication to turn complex data into clear insights.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat is the average salary of a data scientist?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIn 2025, the average salary for a data scientist in the United States is between $115,000 and \\125,000 per year. Entry-level data scientists typically earn around $80,000 to $95,000, while those with a few years of experience make $105,000 to $130,000. Senior data scientists can earn $140,000 to $175,000 or more, especially in tech-focused cities.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat is the average salary of a Python developer?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIn 2025, Python developers in the U.S. earn an average salary ranging from $82,000 to $117,000 per year. Beginners usually make $56,000 to $80,000, mid-level developers earn about $109,000 to $117,000, and senior Python developers can earn $130,000 or more, depending on their skills and the industry they work in.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat is a Python developer?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eA Python developer is a programmer who writes software using the Python programming language. They may work in areas like web development, data analysis, automation, or artificial intelligence. Python developers often build websites, create tools for analyzing data, or develop machine learning models to solve complex problems.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eDoes this course prepare you for a certification?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNo.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eHow long does it take to complete this course?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAfter you register, you will receive 9 months to complete the course. The time allotted for completion has been calculated based on the number of course hours.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhen can I start this course?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThis course is open enrollment, so you can register and start the course whenever you are ready. Access to your course can take 24-48 business hours.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat if I don't have enough time to complete the course within the time frame provided?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe time allotted for course completion has been calculated based on the number of course hours. However, if you are unable to complete the course, contact the student advising team to see what options you may have available to work out a suitable completion date. Please note that an extension fee may be charged.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat kind of support will I receive?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eOur courses are designed to accommodate various learning preferences. Depending on the course structure, you may get different forms of support. Self-paced courses are designed to be user-friendly and independent, minimizing the need for external support. In courses with instructors, our direct platform support feature includes opportunities for questions, discussions, and remediation, with email and phone support available for select courses. Our student advising team is available to guide you on program requirements and administrative requests, but they do not provide assistance with course content. Our goal is to provide you with the necessary support for success, whether it's through self-paced exploration, direct communication, or guidance from our advising team.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eWhat happens when I complete the course? \u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eUpon successfully passing the final exam, you will be awarded a certificate of completion from the school or organization that you registered through.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eAm I guaranteed a job?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eed2go courses will help you gain the skills you need to obtain an entry-level position in most cases. However, you should always research the job market in your area before enrolling.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eCan I get financial assistance?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eed2go courses are non-credit, so they do not qualify for federal aid, FAFSA, and Pell Grant. In some states, vocational rehab or workforce development boards may provide funding to take our courses. Additionally, you may qualify for financial assistance if you meet certain requirements. Learn more about financial assistance. \u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eHow can I get more information about this course?\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIf you have questions that are not answered on our website, representatives are available via LIVE chat. You can also call us at 1-877-221-5151 during regular business hours to have your questions promptly answered. If you are visiting us during non-business hours, please send us a question using the \"Contact Us.\"\u003c\/p\u003e Related Courses Data Analytics Course \u003cbr\u003e CAREER TRAINING PROGRAM $4495.00 USD https:\/\/careertraining.ed2go.com\/1199seiutufMA\/training-programs\/data-analytics-course\/ LEARN MORE \u003ci class=\"fa fa-calendar ed-cat-week\" aria-hidden=\"true\"\u003e\u003c\/i\u003e9 Months \u003ci class=\"fa fa-clock-o ed-cat-week\" aria-hidden=\"true\"\u003e\u003c\/i\u003e240 Course Hours Data Science \u0026amp; Artificial Intelligence Course \u003cbr\u003e CAREER TRAINING PROGRAM $4495.00 USD https:\/\/careertraining.ed2go.com\/1199seiutufMA\/training-programs\/data-science-and-artificial-intelligence-course\/ LEARN MORE \u003ci class=\"fa fa-calendar ed-cat-week\" aria-hidden=\"true\"\u003e\u003c\/i\u003e9 Months \u003ci class=\"fa fa-clock-o ed-cat-week\" aria-hidden=\"true\"\u003e\u003c\/i\u003e260 Course Hours You've got questions.\u003cbr\u003e We're here to help.\u003c\/div\u003e","brand":"Hope Training Academy","offers":[{"title":"Default Title","offer_id":47318320513212,"sku":"_GES3129","price":2099.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0742\/1391\/6860\/files\/GES3129.jpg?v=1787598735","url":"https:\/\/shop.videogamepalooza.org\/products\/python-for-machine-learning-and-data-science-course","provider":"Video Game Palooza","version":"1.0","type":"link"}