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With multiple Data Analysis Courses & Certification available, it’s quite difficult for students to find the best Data Analysis Course for their needs. Often we’re asked by students if there is a single course that fits all use-cases. The answer is YES. You can enrol in any popular Data Analysis Courses & Certification mentioned below.
Depending on your use case, you can choose the one that best suits your needs.
Our focus with this article is to highlight the best and most popular Data Analysis Courses in their respective categories.
Table of Contents
Duration: 9-10 hours
Rating: 4.6 out of 5
The main skill in becoming a data analyst is MS Excel, and Udemy is the perfect way to increase your Excel awareness. If you just start with Excel or have some experience, this course will provide you with all you need to master Excel. In this course, you will learn specifically about advanced Excel formulas and functions that can assist you in turning a simple Excel spreadsheet tool into a complex and effective tool for study. The course contains a variety of video tutorials, practical exercises, conceptual explanations and more, so that the strong and useful formulas can be grasped.
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Duration: 3 months, 4-5 hours/week
Rating: 4.5 out of 5
This course concentrates on teaching you all that you’ll have to learn to be a data scientist. You will learn many different concepts such as data analysis, data science, mathematics, machine learning, data visualization and much more during the course. You can also learn more about sophisticated algorithms, tools and approaches used by data scientists. The course is planned with 365 careers so that you learn from some of the best teachers with years of experience in the field of data science teaching. And once you complete the course, you will receive an Udemy certificate of completion.
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Duration: 1 month, 5-6 hours/week
Rating: 4.3 out of 5
The Udemy course gives you the ability you need to learn Python and efficiently uses it to interpret and visualize data. Python is invaluable know-how for an analysis. With this course, you will have a good understanding of how Python programming can be used and how it can be used for data analysis with code modules and libraries. The course is designed by the professional data scientist Jose Portilla who has trained more than 30,000 people worldwide. With his expertise and knowledge, he will help you get real-life experience with Python.
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Duration: Self-paced
Rating: 4.7 out of 5
Coursera offers a list of courses, specialty programs and master’s programs in data science, regardless of whether you want to obtain a diploma or a master’s degree in data analysis. Best of all, these programmes are delivered by world-leading universities like Harvard, MIT, Columbia, etc. The best part of this programme. In addition, there are several courses with trainers’ and live courses, meaning that during the session you will get in direct contact with your trainer. You will be highly equipped with all the skills needed to become a data analyst after you have completed these courses or programs.
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Duration: 1 month, 4-5 hours/week
Rating: 4.6 out of 5
This extensive course will teach you how to use Pandas with Python to analyze data. In this course, the popular pandas’ library is introduced which is based on the language of programming in Python. The pandas library lets you learn how to evaluate, arrange, sort, filter, pivot, add, clean up and measure data sets. Boris Paskhaver, a software developer and qualified individuals and expert in using Pandas for data analytics, developed this course . The course includes: You will receive a certificate of completion, which can be shared with your LinkedIn profile or employers, after the successful completion of the course with the specified tasks.
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Duration: Self-paced
Rating: 4.5 out of 5
edX provides a great e-learning platform for users to learn a range of topics and fields. This list of data analytics courses helps you learn everything you need to become a professional data analyst. The lessons are divided into various groups, such as data science, artificial intelligence, python, excel, machine learning, and many others. More interestingly, they are all delivered by top universities, institutions such as MIT, Harvard, Microsoft , IBM, etc. In addition, all courses are structured to prevent users from facing problems during learning.
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Duration: Self-paced
Rating: 4.5 out of 5
LinkedIn Learning by Lynda provides a list of multiple data analysis courses and training for those confused about where to start their data analysis learning journey. The list mentions the courses which best fit your needs, such as Learning DataAnalytics, SQL: Data Reporting and Analysis, Python for Data Science Essential Training, Excel Data Management and Analysis, etc. Through these courses and training sessions, you can develop your current data analysis skills and get a completion certificate for all courses you choose.
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Duration: 4-5 hours
Rating: 4.1 out of 5
People interested in studying SQL data analysis query language can take assistance from the course focused entirely on the different aspects of SQL. This course teaches you how to build dashboards for monitoring and evaluating progress on team goals, gather data for use in investor pitch decks by the performance team, and how to make decisions based on details. The course is planned by Udemy’s qualified teachers Peter Sefton and David Kim. They help you throughout the course and resolve your questions concerning the contents of the course.
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Duration: 6 weeks
Rating: 4.5 out of 5
It is an beginner course that will guide you through the basic concepts of data analysis. In this lesson, you will be accompanied through the entire process of analysis, including the formatting of your data to solve problems, communicate your findings and certain other concepts. You can learn how to write simpler, concise, faster code for Python libraries like NumPy , Pandas, and Matplotlib. This course is part of the nano-graduate curriculum – system introduction, which means you can participate in the nano-graduate programme, after completing this course.
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Duration: 9-10 hours
Rating: 4.4 out of 5
This course is designed by TakenMind in Bootcamp to help you learn how state-of-the-art companies handle data bytes to enhance their business growth. It is a starting course that will help you understand the following principles of data analysis, such as python fundamentals, data analysis pandas, data visualization matplotlib, etc. With these concepts, you can move your career in the field of data analysis. During the course, you will be introduced to the setup and installation of the study kit, NumPy, Pandas data manipulation and many other subjects. Once the course has been completed, you can also obtain a certificate of completion to help show employers your skills.
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That’s the list of 10 Best Data Analysis Courses & Tutorials of 2023 with high-quality content. They are popular and loved by many Data Analyst. Between these courses, you are sure to find what you need to learn to continue your path of Data Analysis.
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