Are you looking for the best online courses for your Research Analytics? Look no further! This list of courses helps in Research Analytics!
In today’s rapidly advancing technological era, data is being generated at an unprecedented rate. This has led to an increase in the demand for research analysts who can analyze and interpret complex data sets.
However, many professionals find it challenging to stay updated with the latest tools and techniques used in research analytics, which can hamper their growth opportunities.
The answer to this problem lies in taking online courses that offer comprehensive knowledge about research analytics.
By enrolling in online courses, professionals can keep themselves abreast of the latest trends and developments in this field and learn new skills that can help them advance in their careers.
There are numerous online courses available that cater to different skill levels and interests. These courses provide students with a thorough understanding of research analytics, including statistical analysis, data visualization, machine learning, and more.
These data analysis courses often offer practical training by using real-world scenarios, which helps students gain hands-on experience.
If you’re interested in expanding your knowledge of research analytics, online courses can be an excellent way to achieve your goals. In this article, we will explore the best online courses for research analytics that can help you enhance your skills and stay ahead of the curve.
Our selection is based on a combination of factors, but we have sorted the courses by enrollment numbers to make the list more informative. The ranking number (#1 or #10) reflects only the number of enrollments among the best courses.
| Course | Instructor(s) | 💸Pricing | ❤️Enrollments | ⭐Rating | ⌛Duration |
|---|---|---|---|---|---|
| #1. Google Data Analytics Professional Certificate | Google Career Certificates | Subscription: $14/ month | ❤️❤️❤️❤️❤️1,487,597 enrollments (as of Feb 2023) | ⭐⭐⭐⭐⭐4.8 (105,303 reviews as of Feb 2023) | ⌛ ⌛ 10 hrs/week (6 months) |
| #2. Business Analytics Specialization | Eric Bradlow +12 more instructors | Subscription: $79/ month | ❤️❤️❤️❤️❤️158,719 enrollments (as of Feb 2023) | ⭐⭐⭐⭐⭐4.6 (15,655 reviews as of Feb 2023) | ⌛ 2 hrs/week (6 months) |
| #3. Operations Analytics | Senthil Veeraraghavan +2 more instructors | Subscription: $79/ month | ❤️❤️❤️❤️❤️108,638 enrollments (as of Feb 2023) | ⭐⭐⭐⭐⭐4.7 (4,946 reviews as of Feb 2023) | ⌛⌛ 10 hours |
| #4. Data Analyst in R | Ashray Adappa | Free | ❤️❤️❤️❤️74,664 enrollments (as of Feb 2023) | ⭐⭐⭐⭐⭐4.8 (359 reviews as of Feb 2023) | ⌛ 5 hrs/week (4 months) |
| #5. Data Analytics for Decision Making: An Introduction to Using Excel | Adrian Gepp and James Todd | Free | ❤️❤️❤️❤️61,809 enrollments (as of Feb 2023) | ⭐⭐⭐⭐⭐4.8 (668 reviews as of Feb 2023) | ⌛ 3 hours (2 weeks) |
| #6. Marketing Analytics | Rajkumar Venkatesan | $39.99/month | ❤️❤️❤️45,366 enrollments (as of Feb 2023) | ⭐⭐⭐⭐⭐4.7 (52 reviews as of Feb 2023) | ⌛ 2 hours (5 weeks) |
| #7. Big Data Analytics: Opportunities, Challenges, and the Future | Sebastian B | $39.99/month | ❤️❤️❤️42,108 enrollments (as of Feb 2023) | ⭐⭐⭐⭐4.7 (446 reviews as of Feb 2023) | ⌛ 4 hours (2 weeks) |
| #8. Excel for Everyone: Data Analysis Fundamentals | Ricardo R. Trujeque | $149 | ❤️❤️24,580 enrollments (as of Feb 2023) | ⭐⭐2.8 (1,279 reviews as of Feb 2023) | ⌛ 2–4 hours/week ( weeks) |
| #9. Business Analytics | Janice Hammond | $1,750 | ❤️❤️23,480 enrollments (as of Feb 2023) | ⭐⭐4.2 (10,704 reviews as of Feb 2023) | ⌛⌛ 5-6 hours/week (8 weeks) |
| #10. Data Analytics Bootcamp x Microsoft | Sarah Savage | $374 /month | ❤️1,888 enrollments (as of Feb 2023) | ⭐⭐⭐⭐4.4 (238 reviews as of Feb 2023) | ⌛⌛⌛⌛ 15-20 hours/ week (6 months) |
Table of Contents
#1. Google Data Analytics Professional Certificate by Coursera
Key info
- 🔗Course Link
- 💸Pricing: Subscription: $14/ month
- ❤️ Popularity: 1,487,597 enrollments (as of Feb 2023)
- ⭐ Rating: 4.8 (105,303 reviews as of Feb 2023)
- 📝 Instructor(s): Google Career Certificates (The Google Career Certificates program is designed to provide participants with the knowledge and skills they need to succeed in today’s rapidly changing job market.)
- ⌛ Duration: 10 hrs/week (6 months)
The Google Data Analytics Professional Certificate is a comprehensive course that provides students with the knowledge and skills needed to pursue a career in data analytics.
The course covers a range of topics, including data analysis, visualization, and presentation, using popular tools such as Excel, SQL, and Tableau. Students will also learn how to clean and transform data, apply statistical methods, and use machine learning algorithms.
The course is designed for beginners and professionals alike and provides hands-on training through practical exercises and case studies.
Upon completion of the course, students will be equipped with the skills and knowledge needed to work in various data-related roles.
The certification is recognized by industry leaders, and successful completion of the course may lead to job opportunities within Google and other companies.
Meet the instructor:
What you will learn:
#2. Business Analytics Specialization by Coursera
Key info
- 🔗Course Link
- 💸Pricing: Subscription: $79/ month
- ❤️ Popularity: 158,719 enrollments (as of Feb 2023)
- ⭐ Rating: 4.6 (15,655 reviews as of Feb 2023)
- 📝 Instructor(s): Eric Bradlow +12 more instructors (He is the K.P. Chao Professor, Professor of Marketing, Statistics, and Education, Vice-Dean, and Director of Wharton Doctoral Programs, and Co-Director of the Wharton Customer Analytics Initiative.)
- ⌛ Duration: 2 hrs/week (6 months)
The Business Analytics Specialization is a comprehensive course that provides students with a thorough understanding of business analytics and its applications in the modern business world.
The course covers a range of topics, including data analysis, statistical modeling, and machine learning.
Students will learn how to use popular analytical tools such as Excel, Tableau, and R to derive insights from data and make informed business decisions.
The course is designed for professionals who want to enhance their skills in business analytics, as well as individuals who want to pursue a career in this field.
By the end of the course, students will have gained practical skills and knowledge that can be applied to real-world business problems.
Meet the instructor:
What you will learn:
#3. Operations Analytics by Coursera
Key info
- 🔗Course Link
- 💸Pricing: Subscription: $79/ month
- ❤️ Popularity: 108,638 enrollments (as of Feb 2023)
- ⭐ Rating: 4.7 (4,946 reviews as of Feb 2023)
- 📝 Instructor(s): Senthil Veeraraghavan +2 more instructors (Senthil Veeraraghavan is a researcher whose work focuses on the role of information and uncertainty in operations management, using both theory and data analysis.)
- ⌛ Duration: 10 hours
The Operations Analytics course is designed to provide students with an understanding of the fundamental principles and tools used in operations analytics.
The course covers a range of topics, including linear programming, queuing theory, and inventory management. Students will learn how to use analytical techniques to optimize operations and improve efficiency.
The course is suitable for individuals who want to develop skills in operations analytics, as well as professionals who want to enhance their knowledge and expertise in this field.
By the end of the course, students will have gained practical experience in using analytical tools to solve operational problems and will be able to apply this knowledge to real-world situations.
Meet the instructor:
What you will learn:
#4. Data Analyst in R by Dataquest
Key info
- 🔗Course Link
- 💸Pricing: Free
- ❤️ Popularity: 74,664 enrollments (as of Feb 2023)
- ⭐ Rating: 4.8 (359 reviews as of Feb 2023)
- 📝 Instructor(s): Ashray Adappa (He expressed his admiration for the way Dataquest teaches math. He is impressed by the effectiveness of the teaching methods, as hhe felt that anyone could learn the concepts being taught.)
- ⌛ Duration: 5 hrs/week (4 months)
The Data Analyst in R course is designed to provide students with an in-depth understanding of data analysis using the R programming language.
The course covers a range of topics, including data visualization, data manipulation, and statistical analysis.
Students will learn how to use R to import, clean, and transform data, as well as how to use R to perform exploratory data analysis and build predictive models.
The course is suitable for individuals with some experience in data analysis who want to expand their skills using R. You will have an idea about analyzing data, introduction to data, and research about this.
By the end of the course, students will have gained practical experience in using R for data analysis and will be able to apply this knowledge to real-world problems in various industries.
Meet the instructor:
What you will learn:
#5. Data Analytics for Decision Making: An Introduction to Using Excel by Future Learn
Key info
- 🔗Course Link
- 💸Pricing: Free
- ❤️ Popularity: 61,809 enrollments (as of Feb 2023)
- ⭐ Rating: 4.8 (668 reviews as of Feb 2023)
- 📝 Instructor(s): Adrian Gepp and James Todd (Adrian’s area of research is data analytics, where he has made significant contributions to the field through his research and publications.)
- ⌛ Duration: 3 hours (2 weeks)
The Data Analytics for Decision Making: An Introduction to Using Excel course provides an overview of the fundamental principles and techniques used in data analytics for decision making.
The course focuses on using Excel, a widely used spreadsheet program, to analyze data and derive insights that can inform decision-making.
Students will learn how to use Excel to perform basic data analysis tasks, including data cleaning, data transformation, and data visualization.
The course is designed for beginners with little or no prior experience in data analytics and provides a solid foundation for individuals who want to pursue more advanced courses in this field.
By the end of the course, students will have gained practical skills in using Excel for data analytics and will be able to apply this knowledge to real-world decision-making scenarios.
Meet the instructor:
What you will learn:
#6. Marketing Analytics by Future Learn
Key info
- 🔗Course Link
- 💸Pricing: $39.99/month
- ❤️ Popularity: 45,366 enrollments (as of Feb 2023)
- ⭐ Rating: 4.7 (52 reviews as of Feb 2023)
- 📝 Instructor(s): Rajkumar Venkatesan (Raj’s area of specialization is marketing analytics, where he has demonstrated extensive knowledge and expertise.)
- ⌛ Duration: 2 hours (5 weeks)
The Marketing Analytics course offered by Future Learn is designed to provide students with a comprehensive understanding of marketing analytics and its role in modern marketing.
The course covers a range of topics, including data collection and analysis, customer segmentation, and marketing performance measurement.
Students will also learn how to use popular analytical tools and techniques, such as Google Analytics and R, to extract insights from marketing data.
The course is suitable for marketing professionals who want to enhance their skills and knowledge of marketing analytics, as well as individuals who want to pursue a career in this field.
By the end of the course, students will have gained practical skills and knowledge that can be applied to real-world marketing problems.
Meet the instructor:
What you will learn:
#7. Big Data Analytics: Opportunities, Challenges, and the Future by Future Learn
Key info
- 🔗Course Link
- 💸Pricing: $39.99/month
- ❤️ Popularity: 42,108 enrollments (as of Feb 2023)
- ⭐ Rating: 4.7 (446 reviews as of Feb 2023)
- 📝 Instructor(s): Sebastian B (He is a Senior Lecturer in the School of Information and Communication Technology at Griffith University. He has a strong passion for online teaching and is highly skilled in technical areas such as data mining and artificial intelligence. )
- ⌛ Duration: 4 hours (2 weeks)
The Big Data Analytics: Opportunities, Challenges, and the Future course is designed to provide students with an understanding of the opportunities, challenges, and future of big data analytics.
The course covers a range of topics, including the definition of big data, the tools and techniques used in big data analytics, and the ethical considerations involved in handling big data.
Students will also learn about emerging trends in big data analytics, such as machine learning and artificial intelligence.
The course is suitable for professionals who want to stay abreast of the latest developments in big data analytics, as well as individuals who are interested in pursuing a career in this field.
By the end of the course, students will have gained a solid understanding of big data analytics and its potential for transforming businesses and industries.
Meet the instructor:
What you will learn:
#8. Market Research | Complete Marketing Research Course 2023 by Harvard
Key info
- 🔗Course Link
- 💸Pricing: $1,750
- ❤️ Popularity: — enrollments (as of Feb 2023)
- ⭐ Rating: 2.9 (16reviews as of Feb 2023)
- 📝 Instructor(s): Janice Hammond (She has previously developed an online quantitative analysis course and a global supply chain management simulation. She has also served as the unit head of the TOM unit, course head for the required TOM course, and as a Senior Associate Dean at HBS.)
- ⌛ Duration: 5-6 hours/week (8 weeks)
Market Research | Complete Marketing Research Course 2023 is a comprehensive program that provides students with the skills and knowledge necessary to conduct effective market research.
The course covers all aspects of market research, including defining research objectives, designing research studies, collecting and analyzing data, and presenting research findings.
Students will learn how to use a variety of research methods, including surveys, focus groups, and observational studies.
The program is taught by experienced marketing professionals and includes hands-on projects, case studies, and interactive learning activities.
Upon completion of the course, students will have a thorough understanding of the market research process and the ability to apply these skills in a variety of settings.
The program is suitable for professionals seeking to enhance their marketing research skills, as well as for those looking to enter the field.
Meet the instructor:
What you will learn:
#9. Excel for Everyone: Data Analysis Fundamentals by edX
Key info
- 🔗Course Link
- 💸Pricing: $149
- ❤️ Popularity: 24,580 enrollments (as of Feb 2023)
- ⭐ Rating: 2.8 (1,279 reviews as of Feb 2023)
- 📝 Instructor(s): Ricardo R. Trujeque (Ricardo has made significant contributions to the development of innovative solutions that bridge the gap between these fields. He has a proven track record of success in launching and scaling businesses, developing strategic partnerships, and driving revenue growth.)
- ⌛ Duration: 2–4 hours/week ( weeks)
Excel for Everyone: Data Analysis Fundamentals is an online course offered by edX that provides a comprehensive introduction to Excel and data analysis.
The course covers a range of topics, including data cleaning, sorting, filtering, and visualization. Students learn how to use Excel functions, pivot tables, and charts to analyze and visualize data effectively.
The course also covers best practices for data analysis, including how to present data in a clear and compelling way.
Through interactive exercises and real-world examples, students gain practical skills that can be applied in a variety of settings.
By the end of the course, students will have a complete understanding of how to use Excel for data analysis and be able to apply these skills in their own work.
Meet the instructor:
What you will learn:
#10. Data Analytics Bootcamp X Microsoft by Springboard
Key info
- 🔗Course Link
- 💸Pricing: $374 /month
- ❤️ Popularity: 1,888 enrollments (as of Feb 2023)
- ⭐ Rating: 4.4 (238 reviews as of Feb 2023)
- 📝 Instructor(s): Sarah Savage (Her career path has taken them from a classroom teacher to a school administrator, then to an educational consultant, and finally to a data analyst.)
- ⌛ Duration: 15-20 hours/ week (6 months)
The Data Analytics Bootcamp x Microsoft by Springboard is an intensive and comprehensive course designed to provide students with a strong foundation in data analytics.
The course is aimed at individuals who wish to become data analysts or who want to enhance their data analysis skills.
Throughout the program, students will learn essential data analytics skills, such as data cleaning, data visualization, statistical analysis, and machine learning.
The course is taught by industry experts and includes hands-on projects, real-world case studies, and one-on-one mentorship.
Upon completion of the program, students will have a portfolio of work that demonstrates their ability to analyze data effectively.
The course is self-paced and can be completed in six months, and students will receive a certificate upon graduation.
Meet the instructor:
What you will learn:
Final Words
In conclusion, the field of research analytics is constantly evolving, and keeping up with the latest trends and techniques is essential for professionals in this field.
Online courses offer a convenient and accessible way to learn new skills and stay updated on the latest developments in research analytics.
By enrolling in the best online courses for research analytics, you can gain valuable knowledge and practical experience that can help you advance your career and achieve your goals.
Whether you’re a beginner or an experienced professional, there are numerous online courses available that cater to your needs and interests.
So don’t hesitate to explore the options and take advantage of the opportunities that online learning has to offer.
