Coursera: Data Analytics Certifications Review – Datamation

0
138

Editor’s note: We may be compensated by vendors that appear on this page through methods, such as affiliate links or sponsored partnerships. This may influence how and where their products appear on our site, but vendors cannot pay to influence the content of our reviews. For more info, visit our Terms of Use page.
The field of data science, including data analytics, has one of the biggest skill gaps of employees transitioning in the space, according to “The Future of Jobs Report” by the World Economic Forum in 2020.
Companies aren’t waiting on the talent pool to grow, as 99% of firms are investing in data science, according to the “Insights From Data Leaders” report by DataCamp.
Tech education platforms, such as Coursera, are offering education, skill training, and certificates in data analytics, where the median annual salary is $63,295, according to PayScale.
See below to learn all about the data analytics certificates being offered through Coursera:
Data analytics requires many skills: in communication, data visualization, creative and critical thinking, attention to detail, math, and technical tools. A data analyst needs education or training to develop many of the essential skills for the role.
When it comes to different massive open online courses (MOOCs), Coursera has three well-known competitors, such as Udemy, Skillshare, and LinkedIn Learning. 
Coursera helps any level of worker earn a professional certification in data analytics and increase their knowledge in the field as well as create a portfolio and get live feedback. By getting a certificate, students of data analytics should be better equipped for positions in the growing data market. In about three to 11 months, depending on the certificate program, students can develop their data analytics experience and help the many businesses in need of a data analyst.
Coursera reviews: 4.8 out of 5
“Creating portfolio is something I was missing even though I have eight years of work experience as a data analytics & visualization specialist. This remains a big takeaway for me.” -Student, 5-star review
“I learned a lot from the course. It really added value on me, and I am glad I joined. Instructors were very encouraging, and the way the videos are presented is very short and easy to refer back.” -Student, 5-star review
“I learned so much from this course about data analysis process. I gain skills like, Python language and libraries, SQL, advance excel, and data visualization tools. I got a junior level data analyst job.” -Student, 5-star review
Another five-star review from Muhammad S reads, “Overall, this bundle of courses is one of the best to start learning data analysis. It’s well structured and designed. A lot of self-learning too and not everything is given to you on a platter, which is good. All components of this course together can give you sufficient skills to start an entry-level role or your own project.” -Student, 5-star review
“It was valuable and full of insights! I do recommend it if you are just a beginner in this field!” -Student, 5-star review
Another five-star review reads, “The course helped me to summarize all the knowledge and skills learned during the previous courses within the program.” -Student, 5-star review
“SAS Visual Analytics Training is one of the best things that I have done for myself in a long time! I have been working in data for a number of years already, but this course really helped me learn the ins and outs of all the features SAS offers. It provided me with a much stronger understanding of how to use it to its fullest potential.” -Student, 5-star review
“I loved SAS Visual Analytics for its ease of use and access to a wide variety of training materials in the field of visual analytics. I first started using the training materials in the SAS Visual Analytics program because I had no previous experience in this field. I gained a very detailed knowledge in a short time thanks to the careful preparation of the training materials, the full content of the curriculum, the fact that the curriculum is specially designed for beginners, it is easy to understand and contains many examples. In addition, when I want to get support about products, being able to contact the responsible people in a very short time has helped me a lot in using SAS Visual Analytics.” -Student, 5-star review
Here are some potential roles  the data analytics certifications can support, according to Coursera:
To sign up for one of these certification courses:
When it comes to the time of receiving a certificate, a student should:
Coursera’s certifications in data analytics can be tools for anyone looking to gain specialized education in the growing field. 
“Our learners tell us that online courses are particularly useful for learning and demonstrating proficiency in skills in relatively fast growing fields, like data science, software engineering, digital marketing, and interaction design, that have changed significantly or maybe didn’t even exist when they were in school,” says Julia Stiglitz, director of business development, Coursera, in a post at The Muse. 
With Coursera, 26% of students report landing new job, The Muse reports.
Data analytics is a tech sector with a major need for skilled employees, and Coursera can help candidates prepare for those open positions.
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation’s focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Property of TechnologyAdvice.
© 2022 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.

source