Choose your #CourseToSuccess! Learn online from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM.
languages
english
interests
Analysis
The total number of IG users following @username on last update.
The total number of IG users that @username was following on last update.
Indicated the number of follower @username has for every user he/she follows.
Indicates how this user uses his/her Instagram account.
The number of photos in @username’s feed. It might not be the same as the total amount of photos posted over time as Instagram offers the option to delete a photo at any time.
The date when @username last posted a photo to his/her feed.
How often does @username usually post a new photo/video.
The average amount of likes a photo by @username gets.
Two users might have an average of 100 likes on their photos. One got 100 likes on every single one of his photos, while the other got 20 in most of them and 2000 in a couple. The first user will have a high consistency while the second one will have a low consistency.
A good consistency is always a good sign.
The average percentage of IG users who follow @username who like his/her photos.
A good engagement rate is a sign of a healthy and responsive community.
The average amount of comments a photo by @username gets.
The average percentage of IG users who follow @username who comment on his/her photos.
Two users might have an average of 10 comments on their photos. One got 10 comments on every single one of his photos, while the other got 2 in most of them and 200 in a couple. The first user will have a high consistency while the second one will have a low consistency.
A low comment consistency can indicate that the average amount of comments might have been affected artificially due to a promotion.
The average percentage of comments a photo gets in relationship to the likes.
popularity
188,662
96
macro influencer
@coursera is a macro influencer with 188,662 followers.
content
324
nan% vs. nan%
750 chars
4
Oct 10
+ daily
@coursera is incredibly active, publishing several times a day, with a poor use of captions but great use of hashtags
community engagement
851 / 0.45%
62%
10 / 0.00005%
46%
@coursera's community is poorly engaged but consistent
not good nor bad
very low
low
good
high
very high
History
30 days
90 days
all
date
followers
following
uploads
eng. rate
avg. likes
avg. comments
Oct 12
2,395
188,662
96
324
0.45%
851
10
Sep 26
473
186,267
95
312
0.34%
641
6
Sep 24
185
185,794
95
311
0.35%
653
7
Sep 23
567
185,609
95
310
0.37%
687
7
Sep 20
206
185,042
95
308
0.35%
646
6
Sep 19
181
184,836
95
307
0.39%
713
8
Sep 18
207
184,655
95
307
0.38%
695
7
Sep 17
155
184,448
95
306
0.38%
692
8
Sep 16
168
184,293
95
305
0.4%
728
9
Sep 15
574
184,125
95
305
0.38%
695
8
Sep 12
224
183,551
95
301
0.44%
804
12
Sep 11
306
183,327
95
301
0.42%
776
11
Sep 10
665
183,021
95
300
0.43%
781
11
Sep 09
306
182,356
95
299
0.47%
850
13
Sep 08
292
182,050
95
298
0.49%
893
14
Sep 07
315
181,758
95
298
0.49%
890
14
date
followers
following
uploads
eng. rate
avg. likes
avg. comments
Sep 06
167
181,443
95
298
0.49%
881
14
Sep 05
135
181,276
95
298
0.46%
832
14
Sep 04
272
181,141
95
297
0.51%
928
16
Sep 03
188
180,869
94
296
0.56%
1,008
18
Sep 02
231
180,681
94
296
0.55%
1,000
17
Sep 01
311
180,450
94
296
0.52%
943
16
Aug 30
165
180,139
94
295
0.6%
1,079
18
Aug 29
264
179,974
94
295
0.59%
1,058
17
Aug 27
227
179,710
94
293
0.63%
1,126
19
Aug 26
382
179,483
93
293
0.63%
1,122
18
Aug 25
222
179,101
93
293
0.61%
1,101
18
Aug 24
110
178,879
93
292
0.63%
1,124
18
Aug 23
114
178,769
93
291
0.64%
1,141
17
Aug 22
228
178,655
93
291
0.63%
1,123
17
followers vs
Feed
last 12
last 24
last 36
Jan 01 1970 GMT00:33
captions
“I've worked in many fields, but within the last 2 years I decided to pursue a career in IT. Currently, I am working for an international rail company as an IT VMO Support Analyst. The Google IT Support Professional Certificate has further reinforced my knowledge of IT fundamentals and security and provided a deeper dive into the technical aspects than the CompTIA A+ and Network+ certifications that I currently hold. I took this program to dive deeper into the technical details of IT in hopes of broadening my depth of knowledge and improving my career potential as I was unemployed at the time.
I love my role in IT because, although I do not do any 'hands-on' technical work now, I spend a lot of my time reviewing IT contracts, and that technical understanding really allows me to interface with the IT engagement leaders and better understand the intent of the projects. Also, a lot of what I do is a type of support, so the IT Support Professional Certificate has helped with how to interact with customers, deal with difficult situations, and problem solve.” - Chris A.
--
Looking for a flexible and convenient learning opportunity that can help you advance your career? You can achieve job readiness in 3-6 months by enrolling in the Google IT Professional Certificate program. Learn how you can prepare for an entry-level role in IT support today. Link in bio.
“My life motto is ‘better late than never.’”
I completed the TV screenwriting course in June. For a long time, I couldn’t find the opportunity to celebrate this achievement, but now that I’m nearing the end of my other two courses, I decided this was a good time to share!
Writing a script in English was a very important, difficult, but incredibly interesting experience for me. I loved watching lectures, corresponding with fellow students, and discovering new things. I loved those moments when bright ideas or interesting solutions to plot problems suddenly came to me. I fell in love with each character I created. From scratch, I created a new, wonderful world with its own rules and laws. And, although there were challenging times like midnight writing sessions, it was all worth it.
Thoughts that have not found a way out for so many years have turned into something real and whole.
The most difficult, but also the most useful aspect of the course for me, was immersion in the English language. I have long been accustomed to writing in Russian, but it took much more effort to switch to another language and get a feel for it. Don't just translate your Russian text into English, but really think and build phrases in a foreign language.
Many thanks to @coursera and @michiganstateu for the opportunity to grow and gain much needed and interesting knowledge.” – @da.limova, who’s Russia and busy writing the next Emmy award-winning TV series 😉✍️
–
About the featured course (link in bio): Script Writing: Write a Pilot Episode for a TV or Web Series from @michiganstateu
In this project-centered course, you’ll write a complete pilot episode for your own unique television or web series, be it drama or comedy or something in between. You’ll learn to break down the creative process into components, and you’ll discover a structured process that allows you to produce a polished and pitch-ready script in just a few weeks.
Interested in a data science career? Check out our Data Science Career Learning Path, a free online resource to help you find the skills and learning content you need to launch or advance your data science career. Take your first step today by clicking the link in our bio.
Already working in data science? Comment below with your top career advice for getting into the data science field.
Looking for a new job? A job search game plan can help you stay organized and in control of your job search timeline. Our in-house career expert Vera Fishman built a free guide that will provide you with strategies for streamlining and advancing your job search process.
This guide will be most useful for people who need to find a job within a certain timeframe and who want to be as effective as possible at every stage of the process. Link in bio!
“My dad earned his degree through distance learning 20 years ago when he immigrated to Canada, back when distance learning just meant buying a ton of textbooks and writing a final exam.
This flexible learning program opened countless doors for our family, and I think it’s pretty incredible how his investment in education has come full circle. I now get to help build a product that is giving thousands of people the same opportunity to learn new skills and get a degree that can change their lives.” - Joyce Lee, Coursera Software Engineer on the Degrees Experience team
––
Joyce is one of the many Coursera team members who are passionate about helping transform lives through learning.
We’re grateful to be able to share these stories with you, and it was so wonderful hearing all of your stories at ! You can learn more about open positions at Coursera by clicking the link in our bio.
We’re excited to share that we’re sponsoring and attending , one of the largest multicultural tech conferences in the United States, bringing together engineers, venture capitalists, recruiters, technologists, and culture enthusiasts from all over the world.
We hope to see you virtually there next month - there’s still time to register! Link in bio to learn more.
P.S. If you’re already registered for the conference, keep an eye out for our newsletter takeover starting October 5th.
“After getting my bachelor's in applied mathematics in France, I decided to move to NYC to pursue a Master of Science in Data Science from Columbia University.
I’ve always wanted to work at a company with a mission that I could align with. Coursera seemed like the perfect fit, and I first joined the company as an intern one summer. I loved it so much that I decided to join full time after graduating!
Now, as a data scientist at Coursera, I get to use data to understand learner pain points and build data-driven solutions. I get to create machine learning models that unlock teaching and learning at scale and make education more accessible to the world.” - Marianne S., Data Scientist at Coursera
Looking to land a network engineering job? Check out our Network Engineering Career Learning Path, a free online resource to help you find the skills and learning content you need to launch or advance your network engineering career. Link in bio to learn more!
“I was a computer science major in college, and as I got more exposure to software engineering, I became increasingly interested in pursuing a career in the field. Software engineering is about constantly absorbing new ideas and technologies, and applying our learnings to solve the problems we face. Oftentimes, we need to learn about different methods, examine the pros and cons of each, and come up with the solution that best serves the purpose. I’ve always been passionate about this continuous learning process and working in ways that bring positive influence to the world, so I was deeply drawn to Coursera’s mission.
I’m thankful to be part of a team that gets to work on areas that make learning more accessible to people all over the world. We have an awesome team culture where we’re dedicated to supporting each other and collaborating to achieve a common goal.” - Lisa L., Coursera Software Engineer
“My passion for computer science (CS) started with QBasic, a simple platform with just a basic black background and white text. It felt strange to think that such a monotonous program could conduct complex computations! This attraction was possible only because of my high school teacher’s enthusiasm for the subject. Fast forward to 2016, when I started studying CS at the University of Texas at Austin, I found the same fervour in my data structures professor. My love for CS grew because of my wonderful educators––I’m incredibly thankful to them for providing me with the knowledge of technology!
Now, as a Software Engineer at Coursera working on improving the learner experience, I’m able to play a part in helping the world access high quality education that I hope will inspire others to pursue subjects they’re passionate about. Coursera has given me an opportunity to work with intelligent and hardworking engineers who are always ready to help and bring so much energy with them on a daily basis.” - Nishtha A., Coursera Software Engineer
--
Link in bio to see our open positions and learn more about transforming lives through learning.
“My life motto is ‘better late than never.’”
I completed the TV screenwriting course in June. For a long time, I couldn’t find the opportunity to celebrate this achievement, but now that I’m nearing the end of my other two courses, I decided this was a good time to share!
Writing a script in English was a very important, difficult, but incredibly interesting experience for me. I loved watching lectures, corresponding with fellow students, and discovering new things. I loved those moments when bright ideas or interesting solutions to plot problems suddenly came to me. I fell in love with each character I created. From scratch, I created a new, wonderful world with its own rules and laws. And, although there were challenging times like midnight writing sessions, it was all worth it.
Thoughts that have not found a way out for so many years have turned into something real and whole.
The most difficult, but also the most useful aspect of the course for me, was immersion in the English language. I have long been accustomed to writing in Russian, but it took much more effort to switch to another language and get a feel for it. Don't just translate your Russian text into English, but really think and build phrases in a foreign language.
Many thanks to @coursera and @michiganstateu for the opportunity to grow and gain much needed and interesting knowledge.” – @da.limova, who’s Russia and busy writing the next Emmy award-winning TV series 😉✍️
–
About the featured course (link in bio): Script Writing: Write a Pilot Episode for a TV or Web Series from @michiganstateu
In this project-centered course, you’ll write a complete pilot episode for your own unique television or web series, be it drama or comedy or something in between. You’ll learn to break down the creative process into components, and you’ll discover a structured process that allows you to produce a polished and pitch-ready script in just a few weeks.
hashtags
#LearningFrom
analysis
This post got
119% more likes
compared to @coursera's average. It uses
75% less hashtags
and its
caption is 170% longer
1,390
17
Oct 02 2020 GMT16:59
captions
“After getting my bachelor's in applied mathematics in France, I decided to move to NYC to pursue a Master of Science in Data Science from Columbia University.
I’ve always wanted to work at a company with a mission that I could align with. Coursera seemed like the perfect fit, and I first joined the company as an intern one summer. I loved it so much that I decided to join full time after graduating!
Now, as a data scientist at Coursera, I get to use data to understand learner pain points and build data-driven solutions. I get to create machine learning models that unlock teaching and learning at scale and make education more accessible to the world.” - Marianne S., Data Scientist at Coursera
hashtags
#WithoutLimits
#CourseraLife
#GHC20
#TOGETHERWEBUILD
#WomenInTech
#STEMinist
#WeAreHiring
#JoinTheTeam
analysis
This post got
63% more likes
compared to @coursera's average. It uses
100% more hashtags
and its
caption is 1% shorter
1,210
19
Oct 03 2020 GMT14:01
captions
🌱🌱🌱😊
hashtags
#LearnWithConfidence
#MantraOfTheDay
#GrowthMindset
analysis
This post got
42% more likes
compared to @coursera's average. It uses
25% less hashtags
and its
caption is 94% shorter
comments
1,210
19
Oct 03 2020 GMT14:01
captions
🌱🌱🌱😊
hashtags
#LearnWithConfidence
#MantraOfTheDay
#GrowthMindset
analysis
This post got
90% more likes
compared to @coursera's average. It uses
25% less hashtags
and its
caption is 94% shorter
1,867
18
Oct 09 2020 GMT18:47
captions
“My life motto is ‘better late than never.’”
I completed the TV screenwriting course in June. For a long time, I couldn’t find the opportunity to celebrate this achievement, but now that I’m nearing the end of my other two courses, I decided this was a good time to share!
Writing a script in English was a very important, difficult, but incredibly interesting experience for me. I loved watching lectures, corresponding with fellow students, and discovering new things. I loved those moments when bright ideas or interesting solutions to plot problems suddenly came to me. I fell in love with each character I created. From scratch, I created a new, wonderful world with its own rules and laws. And, although there were challenging times like midnight writing sessions, it was all worth it.
Thoughts that have not found a way out for so many years have turned into something real and whole.
The most difficult, but also the most useful aspect of the course for me, was immersion in the English language. I have long been accustomed to writing in Russian, but it took much more effort to switch to another language and get a feel for it. Don't just translate your Russian text into English, but really think and build phrases in a foreign language.
Many thanks to @coursera and @michiganstateu for the opportunity to grow and gain much needed and interesting knowledge.” – @da.limova, who’s Russia and busy writing the next Emmy award-winning TV series 😉✍️
–
About the featured course (link in bio): Script Writing: Write a Pilot Episode for a TV or Web Series from @michiganstateu
In this project-centered course, you’ll write a complete pilot episode for your own unique television or web series, be it drama or comedy or something in between. You’ll learn to break down the creative process into components, and you’ll discover a structured process that allows you to produce a polished and pitch-ready script in just a few weeks.
hashtags
#LearningFrom
analysis
This post got
80% more likes
compared to @coursera's average. It uses
75% less hashtags
and its
caption is 170% longer
1,390
17
Oct 02 2020 GMT16:59
captions
“After getting my bachelor's in applied mathematics in France, I decided to move to NYC to pursue a Master of Science in Data Science from Columbia University.
I’ve always wanted to work at a company with a mission that I could align with. Coursera seemed like the perfect fit, and I first joined the company as an intern one summer. I loved it so much that I decided to join full time after graduating!
Now, as a data scientist at Coursera, I get to use data to understand learner pain points and build data-driven solutions. I get to create machine learning models that unlock teaching and learning at scale and make education more accessible to the world.” - Marianne S., Data Scientist at Coursera