How to Learn Statistics & Probability - 38 Bootcamps to Get You Started
By: The SwitchUp Team
Last Updated: January 9, 2020
Statistics deals with analyses of the frequency of past events, while probability focuses on predicting the likelihood of future events. They are both branches of mathematics; statistics deals with application, while probability deals primarily with theory. Both are important in the fields of data science and data analysis. Classes in probability and statistics teach students how to sample and analyze data, various sampling methods, basic probability theory, statistical inference and modeling, and how to convey statistical information effectively and clearly.
Statistics and probability training is essential for those pursuing a career in data science. In 2018, computer research and information scientists earned a median wage of $118,370, and the employment of computer and information research scientists is projected to grow 16% from 2018 to 2028. Data science education can lead to jobs such as data analyst, data engineer, machine learning scientist, and data science generalist.
SwitchUp is an online platform that helps students find a technology, data science, or coding bootcamp that will help them pursue a career in the technology sector. Students who seek further education and training in probability and statistics should have strong math skills and analytical ability.
Locations: Online
Courses: Part-Time, Cybersecurity Boot Camp, Part-Time, Data Analytics Boot Camp, Part-Time, Full Stack Web Development Boot Camp
Subjects: Bootstrap, CSS, Data Analytics, Express.js, Git +11 More
Tecnológico de Monterrey Boot Camps offer 24-week, part-time web development and data analytics courses. The full stack curriculum includes HTML, CSS, JavaScript, jQuery, Bootstrap, Express.js, Node.js, databases, MongoDB, MySQL, and Git. The data curriculum includes programming in Excel, Python, R programming, JavaScript charting, HTML/CSS, API interactions, SQL, Tableau, fundamental statistics, machine learning, and more. Enjoy close collaboration with other professionals while receiving hands-on experience. Applicants do not need prior experience to enroll, but once admitted,...
Locations: Online, Los Angeles
Courses: Business Analyst Bootcamp, Data Scientist Bootcamp
Subjects: A/B Testing, AWS, Business, Data Science, Data Structures +10 More
Data Application Lab is a fast growing educational and consulting tech firm that serves talented individuals and leading organizations. They help their trainees gain the up-to-date data science knowledge in the industry. They help their clients dig insights from massive data sets and make lasting improvements to their performance. They are building a firm uniquely equipped to this task so their customers can realize their most important goals. Ranked among top data camps in the...
Southern Methodist University (SMU) boot camps offer 12-week, full-time and 24-week, part-time web development courses, 24-week, part-time data science, financial technology (FinTech) and cybersecurity courses and an 18-week, part-time product management course. The full stack curriculum includes HTML, CSS, JavaScript, jQuery, Bootstrap, Express.js, Node.js, databases, MongoDB, MySQL and Git. The data curriculum includes programming in Excel, Python, R programming, JavaScript charting, HTML/CSS, API interactions, SQL, Tableau, fundamental statistics, machine learning and more. Enjoy close collaboration...
Locations: Online
Courses: UC San Diego Extended Studies Machine Learning Engineering and AI Bootcamp
Subjects: Algorithms, Machine Learning, Pandas, Python, SciKit +2 More
UC San Diego Extended Studies Machine Learning Engineering Bootcamp is a part-time, 24-week bootcamp delivered self-paced online. Bootcamp students should commit 15 hours per week to the course, but may finish the bootcamp early by putting in more hours each week. Machine Learning Engineering students will learn in-demand machine learning models and algorithms, mathematics and statistics for machine learning, and Python data science tools, such as Pandas, Scikit Learn, Keras, and TensorFlow. The curriculum covers...
Locations: Basel, Zurich
Courses: BI Analyst:, Data Analyst, Data Engineer
Subjects: Cloud Computing, Data Analytics, Data Visualization, Machine Learning, Matplotlib +5 More
Swiss Code Academy offers full-time, on-site, 1:1 mentored courses in the field of Data Science and Web Development. The Web Dev class is starting in Aug, 2022. Our project-based curriculum ensures that students can apply what they learn in practical ways. A structured but flexible course plan helps you create a unique portfolio based on your interests and personal objectives. All of our students have the benefits of small class, ample mentor time. Beginners obtain...
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ValleyML Fellowship Program is a career-driven, 9-week professional training program that aims at filling the gap between academics and industry-specific skills required in AI's evolving fields. The program is designed for graduating students and working professionals who want to transition into a thriving career as machine learning engineers, data scientists, or other cutting-edge professionals. The Fellowship Program offers the following career-aligned specializations to help you thrive in this digital era: Data Science, Computer Vision, Natural...
UNC-Chapel Hill Boot Camps offer 24-week, part-time courses in web development, or data analytics, and 18-week, part-time courses in digital marketing, technology project management, and product management. The full stack curriculum includes HTML, CSS, JavaScript, jQuery, Bootstrap, Express.js, Node.js, databases, MongoDB, MySQL, and Git. The data curriculum includes programming in Excel, Python, R programming, JavaScript charting, HTML/CSS, API interactions, SQL, Tableau, fundamental statistics, machine learning, and more. Enjoy close collaboration with other professionals while receiving...
Fingertips provides professionals, graduates and fresher candidates training in courses like Business Analysis, Data Science, Data Analysis, Machine Learning, Business Intelligence, R, Python, SQL, Tableau, Power BI, and Digital Marketing with Analytics. We focus on providing an outcome-based learning approach, industry-relevant curriculum, strong mentorship, and placement support.
Locations: Online
Courses: Foundations for Machine Learning
Subjects: Computer Science Fundamentals, Machine Learning, Statistics & Probability, Tensorflow
How it works: - The initial course is available on-demand as soon as you register. - Each course includes exercises to improve learning outcomes. - Coding demos allow you to learn hands-on skills. - Learn at your own pace. If you are not available for the live sessions, you can take the on-demand classes. What will you learn: Not only will you learn the core mathematical concepts, but you will also learn how they are...
Locations: Online
Courses: Part-Time, Cybersecurity Boot Camp, Part-Time, Data Analytics Boot Camp, Part-Time, Full Stack Web Development Boot Camp
Subjects: Bootstrap, Command Line, CSS, Cyber Security, Data Analytics +17 More
University of Richmond Boot Camps offer 24-week, part-time web development, data analytics, and cybersecurity courses. The full stack curriculum includes HTML, CSS, JavaScript, jQuery, Bootstrap, Express.js, Node.js, databases, MongoDB, MySQL, and Git. The data curriculum includes programming in Excel, Python, R programming, JavaScript charting, HTML/CSS, API interactions, SQL, Tableau, fundamental statistics, machine learning, and more. Enjoy close collaboration with other professionals while receiving hands-on experience. The cybersecurity curriculum offers hands-on training in networking, systems, web...
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