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Discover the Best Data Science Courses for Beginners_ Unlock Your Path to Data Science Certification

Are you interested in starting a career in Data Science? It can take a lot of work to decide which course to select - that's why we've compiled this list of the best data science courses for beginners.

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Discover the Best Data Science Courses for Beginners_ Unlock Your Path to Data Science Certification

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  1. Discover the Best Data Science Courses for Beginners: Unlock Your Path to Data Science Certification Data Science is a field that utilises scientific methods, processes, and algorithms to gain insights and knowledge from structured and unstructured data. It draws on disciplines such as statistics, mathematics, and computer science to analyse and interpret this information to make informed decisions. The knowledge gained through data science can help organisations optimise their operations, boost efficiency levels, and make better decisions. Data Science is an increasingly rapidly-evolving field, with the Bureau of Labor Statistics projecting a growth rate of 16% from 2020 to 2030. This growth is due to the ever-increasing amount of data produced and the growing need for experts who can analyse and interpret it effectively. Now, let's move on to the best data science courses for beginners. Are you interested in starting a career in Data Science? A great way to do so is by taking an educational course that gives you the necessary knowledge and abilities for success. With so many options available, it can take a lot of work to decide which course to select - that's why we've compiled this list of the best data science courses for beginners. Introduction to Data Science on Coursera Are you new to data science? Coursera's Introduction to Data Science course is an ideal starting point. This comprehensive overview covers fundamental concepts and techniques in data science, such as statistical analysis, visualisation, and machine learning. Taught by top instructors with hands-on assignments and quizzes designed to test your understanding, by the end of it all, you'll have a solid grasp of key concepts and techniques utilised within data science. Criteria ● ● Duration: 8 weeks, self-paced, with approximately 3-4 hours of study per week Prerequisites: none, but basic knowledge of programming and statistics is recommended Course Content: Covers the basics of data science, including data analysis, data visualisation, statistical inference, and machine learning using the R programming language Instructors: Experienced faculty from the University of Washington Course Delivery: The course is delivered through online video lectures, quizzes, and hands-on projects using R programming language and RStudio Certification: Earn a certificate of completion from the University of Washington ● ● ● ● Data Science Fundamentals with IBM

  2. IBM offers a Data Science Fundamentals course to cover critical topics like data analysis, visualisation, and tools. The course is ideal for beginners and includes interactive labs and quizzes to reinforce learning. Plus, upon completion, you'll earn a badge to add to your LinkedIn profile - an excellent way to demonstrate skill sets and attract prospective employers. Criteria ● ● Duration: 4 courses, approximately 8 months to complete Prerequisites: none, but basic knowledge of programming and statistics is recommended Course Content: Covers the basics of data science, including data analysis, data visualisation, machine learning, and working with big data using IBM Watson Studio and IBM Cloud Instructors: Experienced faculty from IBM Course Delivery: The courses are delivered through online video lectures, hands-on assignments, quizzes, and projects using IBM Watson Studio and IBM Cloud Certification: Earn a certificate of completion from IBM ● ● ● ● Data Science Essentials with Microsoft Microsoft's Data Science Essentials course is ideal for beginners who want to gain a fundamental understanding of data science concepts and techniques. Topics covered in the course include data manipulation, analysis, and machine learning. Upon completion, you may take a certification exam from Microsoft to certify your credentials further. With this certification in hand, you'll be well-equipped to pursue a career in data science! Criteria ● ● Duration: 3 courses, approximately 3-4 months to complete Prerequisites: none, but basic knowledge of programming and statistics is recommended Course Content: Covers the basics of data science, including data analysis, data visualisation, machine learning, and working with big data using Microsoft Azure Instructors: Experienced faculty from Microsoft Course Delivery: The courses are delivered through online video lectures, hands-on assignments, quizzes, and projects using Microsoft Azure tools Certification: Earn a certificate of completion from Microsoft ● ● ● ● Applied Data Science with Python - Coursera Are you interested in learning by doing? Coursera's Applied Data Science with Python course is the perfect fit. This course covers the fundamentals of Python programming and how to apply it to real-world data science problems. Additionally, you'll become proficient using popular data science tools such as pandas, matplotlib, and sci-kit-learn. By the end, you will have a solid grasp of Python programming and be able to apply it to solve complex data science tasks. Criteria ● ● Duration: 5 courses, approximately 7 months to complete Prerequisites: basic knowledge of programming and statistics

  3. ● Course Content: Covers the basics of data science, including data wrangling, data visualisation, data analysis, and machine learning using Python Instructors: Experienced faculty from the University of Michigan Course Delivery: The courses are delivered through online video lectures, hands-on assignments, quizzes, and projects using Python libraries and tools Certification: Earn a certificate of completion from the University of Michigan ● ● ● Data Science Methodology with IBM IBM's Data Science Methodology course is ideal for beginners who want to understand the fundamentals of data science project planning and execution. It covers critical topics like data collection, preparation, and modelling. Plus, you'll gain access to IBM's Data Science Experience platform to work on real-world projects, an excellent opportunity to gain practical experience and expand your portfolio. Criteria ● ● Duration: 9 modules, self-paced, with approximately 3-4 weeks of study per module Prerequisites: none, but basic knowledge of data analysis and statistics is recommended Course Content: Covers the process of data science methodology, including data collection, data understanding, data preparation, modelling, evaluation, and deployment Instructors: Experienced faculty from IBM Course Delivery: The course is delivered through online video lectures, quizzes, and hands-on projects using IBM Watson Studio Certification: Earn a certificate of completion from IBM ● ● ● ● Data Science Courses by Edvancer Eduventures Edvancer Eduventures offers a range of data science courses for beginners, including courses on Python for Data Science, Machine Learning, and Big Data. These courses are designed to provide you with a strong foundation in data science concepts and techniques and practical experience working on real-world projects. Plus, you'll receive a certificate upon completing each course, which you can use to showcase your skills to potential employers. Criteria ● ● Duration: varies depending on the course, instructor-led online classes Prerequisites: varies depending on the course, but some require basic knowledge of statistics and programming. Course Content: A range of courses on data science topics, including data analysis, machine learning, deep learning, and big data, offered by experienced instructors and industry experts Instructors: Experienced industry experts who have extensive knowledge of the subject matter Course Delivery: The courses are delivered through a combination of online video lectures, live online classes, and interactive assignments Certification: Students who complete the courses are awarded a certificate of completion from Edvancer Eduventures ● ● ● ● Conclusion:

  4. In conclusion, taking a data science course is a great way to gain the knowledge and skills needed to succeed in this field. The courses highlighted in this post are some of the best options for beginners. By completing these courses, you'll be on your way to obtaining a Data Science certification and advancing your career. It's essential to choose a course that fits your needs and goals and to put in the time and effort to master the material. You can achieve your dream of becoming a data scientist with dedication and hard work.

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