Belajar Ilmu Data Lewat Startup
KlasaEdu adalah sekelompok grup yang percaya talenta di Indonesia memiliki potensi yang besar untuk mandiri dan berkarya untuk bangsa. Untuk itu kami hadir untuk membantu melalui berbagai kelas, bootcamp, dan juga live Q&A.
Bagaimana potensi cuan klasaedu ke depan?
Bagaimana potensi cuan klasaedu ke depan?
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TVTranscript
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01:48 Okay, some sectors that we can say that have a lot or a lot of demand for professionals in the field of data.
01:57 The first one is the financial sector, this is not according to the rankings.
02:02 This sector needs a lot of information, then e-commerce, telco, media, health care, manufacturing, government.
02:12 The public sector also needs a lot because now they have a lot of data and it's huge.
02:18 So it will be a waste of assets if it is not processed optimally.
02:22 Okay, this demand is quite a lot from various sectors.
02:27 Now, the interest of the public to deepen their own data science, what do you see it like?
02:32 Is it also going along with the demand or is it actually not too developed or not too significant?
02:41 Well, okay, talking about interest, maybe before that I want to talk about the supply and demand.
02:45 Because we said the demand is very big, but the supply is still very large.
02:52 At that time, Cominfo once said that Indonesia had a shortage of 400 to 500 thousand digital talents every year.
03:04 That's digital talent including the data inside it. So, the supply and demand gap is very high until now.
03:11 But for interest, if the interest is a graduate or a graduate, we usually say they want a good earning,
03:20 then the career prospects are also good, then the opportunity is also great.
03:27 If I talk about earnings, the salary survey always says that data science is part of the top three,
03:34 with a fairly good earning, even far above average.
03:37 What makes the gap quite wide between supply and demand that we can solve in the future?
03:48 Okay, for the cause or the problem now, as far as I know, out of 4,000 campuses in Indonesia,
03:59 only 20% have IT study programs.
04:03 Then from graduation, and also the graduation is only 20% that we can directly absorb into the industry.
04:12 Why? Because there is a gap, not only, if it looks like a big gap, the quantity gap,
04:19 but in addition to the quantity, there is also quality.
04:21 So now to apply in that position, even though it looks interesting, the career path,
04:27 it is very difficult to apply to be accepted, but the higher from the company, from the industry,
04:33 it is also very difficult to get it.
04:35 So now, for example, we put job posting for one position in the data field,
04:40 there are thousands of people who actually register, but those who fulfill the qualification are very difficult,
04:45 even one vacant position can be vacant for up to a year.
04:49 Okay, so the qualifications are still minimal, the SDM is still minimal,
04:54 even though the interest is actually high, the standard is not the same, not yet found.
05:01 Correct, so it's still unmatched.
05:05 So to bridge the gap, there must be improvement in quality and quantity.
05:09 Then how do you see the accessibility of the public to the data science training platform?
05:14 Well, actually, if the accessibility is because now with the internet,
05:20 we can find anything on the internet.
05:22 Now, in terms of data, if you want to learn, just look on the internet.
05:26 There are a lot of training, webinars, or free videos, even communities.
05:34 There are many good communities in the field of data, there is Data Science Indonesia,
05:37 the class also has a Data Science Community class, you can share it.
05:41 But the problem is this, with the ease of access, why is the problem still there?
05:47 Because maybe to learn in this field specifically, autodidact, it can be for one person,
05:54 the worst for one person, but for society, it can't be, right.
05:58 So it needs to be structured, for this field, structured learning.
06:03 To bridge the gap, the quality.
06:06 What solution is offered by the class of edu, we will continue the next session,
06:12 and we will be back soon.
06:14 We are still talking with Ms. Febriya Ferini, the co-founder of the class of edu.
06:19 Then what solution is offered by the class of edu,
06:22 if we compare the class of edu with the campus, what is the difference?
06:28 Is the class of edu a complementary or maybe a complement of what has been learned by the campus,
06:34 or can learn from scratch?
06:36 Okay, the class of edu is actually present as an intermediate function,
06:40 from formal education on campus with company needs.
06:44 Because if I can say, the material taught by the class of edu for the talents,
06:51 is the most important, because later this talent must be professional in the industry,
06:57 which is the first analytical thinking or problem solving mindset.
07:00 This is what we are most eager for, then it comes to technical skills and other skills.
07:06 Then in the class of edu, we also have a capstone project,
07:09 where these talents are directly connected to our company partners,
07:13 immediately given real cases, and then immediately pitching.
07:16 This is a new exposure for them to have a stage,
07:21 to directly hold real cases and also pitch,
07:25 and also get real feedback from the industry.
07:27 So this is one of our methods to sharpen the qualities that are actually owned by the talents in Indonesia.
07:36 How long has the class of edu been operating?
07:41 Then is there any data, how many inputs from the campus that have been cooperated with or accepted in a company like that?
07:51 We started in the end of 2021, so the operation is about 1 year or more,
07:57 1 year or more, almost 2 years.
07:59 Then, at the moment we have worked with more than 1000 students, we have helped them.
08:05 Then, in addition to the students, we also provide corporate solutions,
08:10 so we also work with companies that are currently doing transformation or digitalization in their companies,
08:18 for them to sharpen their current employees to have more advanced data skills.
08:23 So we work both ways, we work with graduates too,
08:26 but we also work with companies to upskill their employees' skills.
08:31 From 1000 students who have joined, how many or the percentage that are absorbed in the world of work, what is it like?
08:39 For the absorption is quite good, we are more than 90% have joined the industry now.
08:47 What is the method of teaching like and is there a certificate given to the students who join?
08:52 Yes, we are certified training, so for the certificates that are paid, courses, bootcamp,
08:58 we have a certificate that is given to the students as a portfolio,
09:04 they have participated in additional training after their formal education.
09:09 What is the method?
09:11 What is the method of teaching?
09:14 Sorry, sir?
09:16 What is the method of teaching?
09:18 The method of teaching is for courses and bootcamp is online,
09:25 then we have live teaching, so there is a coach and we have a network of coaches who are practitioners in the industry,
09:33 so what is given is not just theory, so it will also be heavy in hands-on practice,
09:41 so it is a real case from the industry, then the students I told you about the capstone project,
09:47 so for courses and bootcamp, here we give a project directly,
09:51 there are also some real cases from our partner companies,
09:55 they can directly work on the project that really happened,
10:00 so this is different and with this method they will be more confident when they enter the industry,
10:05 because they already have a portfolio.
10:08 So for those who are outside the city, online can also be done, right?
10:14 Correct.
10:16 How much is the cost range and how long is it minimum to take this class?
10:23 For courses, we start from 3 days for the intensive course,
10:29 but for the bootcamp, we usually take 2-2.5 months,
10:34 if in class 1 we have an admin, we actually call it a consultant,
10:38 so for talents or housekeepers interested in deepening science data,
10:43 can consult us, what is currently being done, then we can talk about what is needed at this time.
10:51 The next cost, usually this is also one of the most important things.
10:57 The cost range is from around 500 thousand for short courses,
11:02 to around 5 million for bootcamp which is full package.
11:08 Because our principle is for democratization data,
11:12 for payment methods, we have some and also some students.
11:20 The range is 500 thousand up to 2 million or 6 million?
11:27 2 million.
11:30 Thank you for joining us, good luck for the future Indoo class.
11:36 Thank you.
11:38 Okay, that's our discussion in the CreateUp segment this time,
11:42 and before we finish, we update the position of the joint value index,
11:46 which was still moving in the negative territory, although it tends to be thin,
11:50 but now the ISG share is down 0.32% or 18 points at 7209,
11:57 lower than the opening at 9 o'clock.
12:00 While entering the Top Gen, there are Arto, M-Sky, STRK, Film, PMMP, PTMP, BNGA, BMTR, and Harta.
12:10 The top losers are SRAJ, GTRA, WIRG, BAIK, ANRG, ACRO, HARUM, and SMLE.
12:23 Those are the top 8 losers as you can see in the RTI on the screen.
12:35 And, Mr. Mirza, we have accompanied you in Power Breakfast for 90 minutes.
12:40 Hopefully, the discussion we deliver can be a reference, a source of information for you.
12:44 I'm Wiki Adrian.
12:46 And I'm Prisa Somodhatu. See you.
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