Best Data Analysis Courses on Coursera

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Best Data Analysis Courses on Coursera

Data analysis is a useful field when there is endless scope for you to grow. The employment market is large. It is a skill that you can learn at home and even get jobs titled “work from home” on basis of the skill. Whenever there is demand for any skill, education for it is often available on the internet. Coursera is a great platform for online education. Top-notch colleges and companies use this platform to make their content reach students worldwide.

Here is a list designed for you, that contains the best courses to learn data analysis on the platform Coursera.

1. Google Data Analytics Professional Certificate

This course is a 4.8 rated beginner’s course on the platform of Coursera. This is a professional certification course offered by Google. The instructors for this course are instructors of the google career certificate program. This certification program is a special combined program that has eight courses as a part of it, which are Foundations: Data, Data, everywhere; Ask Questions to Make Data-Driven Decisions; Prepare Data for Exploration; Prepare Data for Exploration; Analyse Data to Answer Questions; Share Data Through the Art of Visualization; Data Analysis with R Programming; Google Data Analytics Capstone: Complete a Case Study. All these individual courses are rated above 4.5 out of five. The course covers a variety of topics, some of them are spreadsheet, data cleansing, data analysis, data visualization, questioning, decision-making, problem-solving, metadata, data collection, data ethics, sample size determination, and much more. They estimate that the course may require approximately six months to complete. You will receive a shareable certification for completion of the course. You can join this course and know more about it using the following link.

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2. IBM Data Analyst Professional Certificate

This course is a 4.6 rated beginner’s course on the platform of Coursera. This is a professional certification course offered by IBM (International Business Machines). The instructors for this course are top faculties of IBM. This is a long course and you will get to be mentored by a lot of great instructors. You will be mentored by Rav Ahuja (Global Program Director, IBM Skills Network), Sandip Saha Joy (Cognitive Data Scientist, IBM Developer Skills Network), Steve Ryan (Instructor & Content Developer, Skill-Up Technologies), Kevin McFaul (Global Product Management, IBM Analytics, and AI Applications) Joseph Santarcangelo (Ph.D., Data Scientist at IBM), Azim Hirjani (Cognitive Data Scientist), Hima Vasudevan (Data Scientist, IBM), and a some-more experienced mentors. This certification program is a special combined program which has nine courses as a part of it, which reintroduction to Data Analytics, Data Visualization and Dashboards with Excel and Cognos, Excel Basics for Data Analysis, Python for Data Science, AI & Development, Data Visualization with Python, Data Analysis with Python, Databases, and SQL for Data Science with Python, Python Project for Data Science, and IBM Data Analyst Capstone Project. All these individual courses are rated above 4.5 out of five. This course covers a huge number of topics, some of them are Microsoft Excel, python programming, data analysis, data visualization, data science, spreadsheet, pivot table, IBM Cognos Analytics, NumPy, and much more. They estimate that the course may require approximately eleven months to complete. You will receive a shareable certification for completion of the course. You can join this course and know more about it using the following link.

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3. Data Analysis and Visualization Foundations

This course is a 4.7 rated beginner’s course on the platform of Coursera. This is a specialization program offered by IBM (International Business Machines).The instructors for this course are top faculties of IBM. You will be mentored by Rav Ahuja (Global Program Director, IBM Skills Network), Sandip Saha Joy (Cognitive Data Scientist, IBM Developer Skills Network), Steve Ryan (Instructor & Content Developer, Skill-Up Technologies), and Kevin McFaul (Global Product Management, IBM Analytics and AI Applications). This specialization course is a combination of three courses which include Introduction to Data Analytics, Excel Basics for Data Analysis, and Data Visualization and Dashboards with Excel and Cognos. All these individual courses are rated above 4.5 out of five. These course covers a lot of topics, some of them are Microsoft excel, data analysis, data visualization, Cognos analytics, data science, spreadsheet, pivot table, and IBM Cognos analytics. They estimate that the course may require approximately four months to complete. You will receive a shareable certification for completion of the course. You can join this course and know more about it using the following link.

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4. Introduction to Data Analytics

This course is a 4.8 rated beginner’s course on the platform of Coursera. This is a professional certification course offered by IBM (International Business Machines). This course is instructed by one of top educators of IBM and Coursera. You will be mentored by Rav Ahuja (Global Program Director, IBM Skills Network). The syllabus for this includes in-depth knowledge of definition of data analysis, data ecosystem, gathering data, mining data, visualizing data, communicating results from data, and applications of data analysis. They claim that you will gain excellent skill ofdata science, spreadsheet, data analysis, and Microsoft Excel. This is a short course that may require approximately eleven hours to complete. This implies that the course may be completed within a week. You will receive a shareable certification for completion of the course. You can join this course and know more about it using the following link.

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5. IBM Data Science Professional Certificate

This course is a 4.6 rated beginner’s course on the platform of Coursera. This is a professional certification course offered by IBM (International Business Machines).The instructors for this course are top faculties of IBM. This is a long course and you will get to be mentored by a lot of great instructors. You will be mentored by Rav Ahuja (Global Program Director, IBM Skills Network), Image of instructor, Alex Aklson (Ph.D., Data Scientist), Aije Egwaikhide (Senior Data Scientist, IBM), Svetlana Levitan (Senior Developer Advocate with IBM), Romeo Kienzler (Chief Data Scientist, Course Lead), Polong Lin (DataScientist), Joseph Santarcangelo (Ph.D., Data Scientist at IBM), Azim Hirjani (Cognitive Data Scientist), and many more experienced mentors. This specialization course is a combination of ten courses, some of which are Tools for Data Science, Data Science Methodology, Python for Data Science, AI &Development,Databases and SQL for Data Science with Python, Data Visualization with Python and five more. They claim that you will gain excellent skill data science, python programming, data analysis, cloud databases, relational database management system, predictive modelling, data visualization and much more. They estimate that the course may require approximately eleven months to complete. You will receive a shareable certification for completion of the course. You can join this course and know more about it using the following link.

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6. Applied Data Science with Python Specialization

This course is a 4.5 rated intermediary course on the platform of Coursera. This is a specialization program offered by University of Michigan.In this specialization program you will be mentored by Christopher Brooks (Assistant Professor, School of Information), Kevyn Collins-Thompson (Associate Professor, School of Information), V. G. Vinod Vydiswaran (Assistant Professor, School of Information) and Daniel Romero (Assistant Professor). This specialization course is designed in intermediate level and is a combination of five courses which include Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python and Applied Social Network Analysis in Python.  In order to understand this course, you will require some experience and knowledge in this field. They estimate that the course may require approximately five months to complete. You will receive a shareable certification for completion of the course. You can join this course and know more about it using the following link.

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7. Data Analysis and Presentation Skills: the PwC Approach Specialization

This course is a 4.6 rated beginner’s course on the platform of Coursera. This is a specialization program offered by PwC (Price water house Coopers). If you enroll for this course, you will get to be mentored by former principal and alumni of PwC, Alex Manella. This a specialization program and therefore is a combination of five courses which include Data-driven Decision Making, Problem Solving with Excel, Data Visualization with Advanced Excel, Effective Business Presentations with PowerPoint, and Data Analysis and Presentation Skills: the PwC Approach Final Project. All these individual courses are rated above 4.5 out of five. This course will help you strengthen your skill set in every topic that will be covered in the course. They estimate that the course may require approximately six months to complete. You will receive a shareable certification for completion of the course. You can join this course and know more about it using the following link.

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8. Excel Skills for Data Analytics and Visualization Specialization

This course is a 4.8 rated intermediary course on the platform of Coursera. This is a specialization program offered by Macquarie University. For this course, you will be mentored by Image of an instructor, Nicky Bull (Lecturer and Lead Content Designer), and Dr. Prashan S. M. Karunaratne (Senior Lecturer). This specialization course is a combination of three courses which include Excel Fundamentals for Data Analysis, Data Visualization in Excel and Excel Power Tools for Data Analysis. Every individual course in this program has more than 4.7 rating. Through this course you could strengthen your skill of data analysis, Microsoft Excel, data visualization, and data cleansing. They estimate that the course may require approximately four months to complete. You will receive a shareable certification for completion of the course. You can join this course and know more about it using the following link.

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9. Data Analysis and Interpretation Specialization

This course is a 4.4 rated beginner’s course on the platform of Coursera. This is a specialization program offered by Wesleyan University. The instructors for this course are professor Lisa Dierker and research professor Jen Rose. This specialization course is combination of five courses which include Data Management and Visualization, Data Analysis Tools, Regression Modelling in Practice, Machine Learning for Data Analysis and Data Analysis and Interpretation Capstone. This course will help you develop your skills in all the topics that you cover in this particular program. They estimate that the course may require approximately five months to complete. You will receive a shareable certification for completion of the course. You can join this course and know more about it using the following link.

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10. IBM Data Analytics with Excel and R Professional Certificate

This course is a 4.7 rated beginner’s course on the platform of Coursera. This is a professional certification course offered by IBM (International Business Machines). The instructors for this course are Rav Ahuja (Global Program Director, IBM Skills Network), Sandip Saha Joy (Cognitive Data Scientist, IBM Developer Skills Network), Steve Ryan (Instructor & Content Developer, Skill-Up Technologies), and some more amazing experienced mentors of IBM. This specialization program is a combination of eight courses some of which are Introduction to Data Analytics, Excel Basics for Data Analysis, and Data Visualization and Dashboards with Excel and Cognos and five more. This course will help you build your career in data analysis by strengthening your skills.It is estimated that the course may require approximately eleven months to complete. You will receive a shareable certification for completion of the course. You can join this course and know more about it using the following link.

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