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You’re here because you might be hearing all about the IBM Certificate, but one question remains: is the IBM Data Analyst Professional Certificate worth it?
I’ve done my research and here’s the short answer:
The IBM Data Analyst Professional Certificate is worth it. Made for data analytics beginners, the certification is worth buying for its high-quality learning resources and interactive exercises on popular data analytics software, all for an affordable cost of only USD$39/month.
What is the IBM Data Analyst Professional Certificate?
The IBM Data Analyst Professional Certificate is a 4-6 month-long certification program made by IBM on skills needed to become a data analyst. This data analyst certification program is meant for beginners to pick up relevant skills like Python, SQL, and Machine Learning to help them land an entry-level data analyst job.
Why do I say that this IBM certificate is worth it?
Here are my 7 reasons why it’s worth it:
7 Reasons Why the IBM Data Analyst Certification is Worth It
- Uses Unique Assessment Methods
- Increases Your Exposure to Essential Analytics Skills
- Highly Targeted to Job-ready Skills
- Provides Optimal Learning Stress
- Provides Flexible Self-paced Exercises
- Provides Good Career Credentials
- Encourages Working on Data Projects
Now, allow me to explain more about each of the reasons!
1. Uses Unique Assessment Methods
First up, the professional certificate provides a good variety of unique assessment methods!
In most of the courses required in the entire certificate track, a unique blend of assessment methods is used to engage learners.
Here are some of the assessment methods used:
- Peer-reviewed assignments
- Course challenges
Among this list, what should really stands out to you should be the peer-reviewed assignments!
Here’s why I think they’re great for enforcing your learning:
Peer-reviewed assignments will ensure that you pick up all the necessary skills before you can move on to the next step in the course!
By having peers give you a grade, you can get comments and feedback on areas you should work on or areas you’ve done well.
This also ensures that you won’t rush your way through the course for the sake of completion and without any concern for learning all the needed knowledge.
Learning data analytics requires discipline, so these peer-reviewed assignments can really set you up to make sure you achieve those goals of finally mastering Python or SQL!
Unlike the Google Data Analytics Professional Certificate, which lacks this peer-review assessment type, the IBM Certificate is great for beginners who need a little more push to keep a disciplined learning environment!
Curious to know what the Google Certificate can offer you instead?
You might want to check out my review of the Google Certificate.
2. Increases Your Exposure to Essential Analytics Skills
Another major reason why this certificate by IBM is worth it for beginners is the exposure it gives you.
Based on my experience as a data analyst, having a wide skillset of data analysis skills is really important!
Therefore, gaining exposure to valuable skills as a beginner is a perfect first step.
By going through the IBM Certificate, you’ll gain exposure to everyday tools used by a typical junior data analyst for analyzing data.
Here are some of the skills used in this Certificate:
By going through this certificate, you’ll understand more about how the data analysis process works and how each tool is used in each unique scenario!
However, this certificate doesn’t really teach you any of the common tools to create data visualizations, such as Tableau and Power BI.
This exposure to essential skills makes it the perfect reason for a complete beginner to jump right into the certificate with no coding background needed!
Want to know if coding is actually needed for data science and analytics? I share more in my article on if data science requires coding here.
3. Highly Targeted to Job-ready Skills
As a beginner, you’d tend to get overwhelmed with which skills to learn first.
This certificate points you in the right direction for the right skills to start with!
Out of the 9 courses in the the certificate, a total of 5 were on Python and its various applications!
Just take a look at the table below for a list of the courses:
|Courses In the IBM Certificate
|Introduction to Data Analytics
|Excel Basics for Data Analysis
|Data Visualization and Dashboards with Excel and Cognos
|Python for Data Science, AI & Development
|Python Project for Data Science
|Databases and SQL for Data Science with Python
|Data Analysis with Python
|Data Visualization with Python
|IBM Data Analyst Capstone Project
Did you notice how much emphasis has been put on Python in this certificate?
This is actually a good thing, especially when Python is one of the leading programming languages required in a data job.
Python is one of the most commonly used data analysis tools among data analysts to analyze data or visualize data. In fact, Python is used more than R.
Some of Python’s libraries, like Pandas, are also popular in the data science world for their data-wrangling functions.
This is where the IBM certificate differs from the Google one, which teaches R programming instead.
Another skill that I’m sure many data analytics beginners like you should have is SQL.
SQL is a querying language that allows you to transform and clean data.
Being the common data language used by many roles within the data field, having basic knowledge in SQL is essential to begin a career in data!
SQL is used in the following jobs:
- Data analysts
- Data scientists
- Business intelligence analysts
- Data engineers
- Business Analytics consultants
- Business analysts (used less)
Therefore, if you’re on the fence about whether a data analytics certificate is worth it, always check to see if SQL is included in the curriculum.
I’ve had to use SQL in my previous role in analytics often for data querying and data analysis tasks, and I know some BI analysts and data scientists who are confident that SQL is a must-learn.
Curious to know the difference between a data analyst and a BI analyst?
Read my article that covers 7 key differences between a data analyst and BI analyst.
By taking the IBM certificate, you’ll be learning all these highly-targeted job-ready technical skills!
4. Provides Optimal Learning Stress
If you’ve done any sort of online learning, you’ll probably know about how tough it is to complete them.
However, this is where the IBM Certificate stands out!
In an environment for learning something new, having positive stress factors (Eustress) make for optimal learning!
Based on this article, Eustress is the optimal level of stress needed for the best level of learning!
Sitting in the middle of distress and with no stress, having that good amount of push factor can help you achieve your learning goals better!
Here are several factors where the certificate would motivate you:
- Email reminders from Coursera to keep pace with the learning schedule
- A monthly subscription model
- Well-structured content with a moderate pace of delivery
- Peer-reviewed assignments
Let’s have a quick look at each of these factors.
Email reminders for completion from Coursera
The IBM Certificate is hosted on the Coursera platform for content delivery, and that’s great!
Coursera sends email reminders when you’re not on track with your Certificate timeline and that really helps to keep you in check.
By having email prompts once in a while, the platform nudges you to finally complete that certification you really needed to move forward with your data analytics career!
A monthly subscription model
The IBM Certificate is priced using a monthly subscription.
This means that the faster you learn and complete the certificate, the less you pay!
Here’s a screenshot of the certificate pricing model:
Why is this a motivation?
By having a subscription model, you’re put under slight stress to make your money’s worth when doing the IBM Certificate!
This should be a good amount of motivation to get you moving forward with each course in the certificate program.
Well-structured content with a moderate pace of delivery
The certificate is put together in a well-structured manner that facilitates learning.
The content in this course is heavy, but having them broken down into weekly schedules for each course, makes it such much more manageable!
Here’s a table showing how the first course in the certificate is broken down into weeks:
Introduction to Data Analytics Course Weekly Breakdown
|Hours of Content
|What is Data Analytics
|The Data Ecosystem
|Gathering and Wrangling Data
|Mining & Visualizing Data and Communicating Results
|Career Opportunities and Data Analysis in Action
Pretty organized, right?
As mentioned in my earlier points, the IBM Certificate uses peer-reviewed assignments to check in on your learning.
By having peers look at and mark your projects and work, you’ll be placed in a level of eustress.
This is where there will be a good amount of push factor to at least submit a decent level of work (to your peers) to move on to the next course!
Still on the fence on whether to get the Google or IBM Certificate?
5. Provides Flexible Self-paced Exercises
Another really great thing about this certificate is that it’s delivered online.
This makes the course really great for its flexibility.
Why do I say that?
That’s because flexibility through self-paced video lectures and online assignments works for many data analytics learners.
These data analytics learners may include:
- Full-time job workers with fixed schedules looking for a career change
- College undergraduates with lessons
Do these learners sound like you?
Here’s why these learners can benefit the most from the flexible structure of the IBM Certificate:
- Freedom to submit assignments any time of day (unlike physical assessments)
- Ability to consume video content on the go (during daily commutes)
Full-time job workers can take advantage of the flexible nature of learning and watch video lectures during daily commutes if they’re on public transport.
These bits of learning can work around your fixed schedule of work or lessons!
6. Provides Good Career Credentials
Being a certificate offered by IBM, getting an IBM Certification can help to provide extra credentials to your portfolio!
Now don’t get me wrong, having just a certificate from IBM is not enough to help you land that data analyst job immediately!
But here’s what the IBM Certificate can do for you:
- Show employers your dedication to learning analytics technologies
- Provide opportunities for interviewers to ask questions about your learnings during the course
When added to a well-crafted resume, this certificate would make your resume more well-rounded! This might be especially so for mid-career changers.
Of course, an IBM Certificate alone is not enough, but here’s where the certificate stands out, its focus on data projects!
Read more on this below!
7. Encourages Working on Data Projects
The IBM Certificate is really worth getting because of this emphasis on getting you started on data projects!
Upon completing the certificate, you’d be left with 2 data analytics projects from these courses:
- Python Project for Data Science
- IBM Capstone Project
By forcing you to complete these projects before moving on, the certificate ensures that you’ll have something to take back and explain to future employers about!
In fact, upon closer look at the requirements of the project, they’re pretty similar to the work I’ve done as a data analyst, such as data cleaning and data visualization.
Therefore, the IBM Certificate is worth getting because of how much impact these data mining projects can have on helping you achieve that goal of landing that data job
Curious to know how long a data science project will take?
Read more about that in my article here.
You can choose to get a Coursera Monthly Subscription to gain access to all professional certificates at the cost of only one, at USD $59/month!
How Long Does it Take to Complete the IBM Data Analyst Professional Certificate?
It will take around 4-6 months to complete the IBM Data Analyst Professional Certificate. This will vary depending on having previous data background, learning speeds, and hours committed per day. Although IBM suggests an 11-month completion time, most finish the program earlier.
Here’s a screenshot from Coursera of the recommended timeline based on hours of learning.
Is the IBM Data Analyst Certificate Difficult?
The IBM Data Analyst Certification is not difficult. The certificate is designed with data analytics beginners in mind, where the content difficulty is at an entry-level. The certificate also only includes self-paced courses, where more difficult topics can be revisited and consumed at a slow pace.
How Difficult is the IBM Data Analyst Certificate?
The IBM Certificate is at an entry-level difficulty. The content in the certificate only covers basic concepts in data analytics technologies and is not too difficult for beginners. However, the amount of content is heavy and it will be difficult to complete within a tight deadline.
How Much Does the IBM Data Analyst Certificate Cost?
The IBM Data Analyst Professional Certificate costs USD $39/month. The certificate is priced on a monthly subscription model. Most certificate learners would require 4-6 months of completion time. However, based on discounts by IBM, a 3-month plan costs only USD $78 and a 6-month plan costs only USD $117.
Can You Get a Job with the IBM Data Analyst Certificate?
A job is not guaranteed with the IBM Data Analyst Certificate. The certificate does not officially promise a data analyst job. However, the certificate provides an excellent broad-based introduction to data analytics tools used by data analysts. This aspect of the certificate will be helpful in getting jobs.
Is the IBM Data Analyst Certificate Useful?
The IBM Data Analyst Certificate is useful. The IBM Data Analytics Certificate provides a good overview of in-demand data analytics skills for beginners. However, this certificate is less useful for intermediate and experienced data analysts who are proficient in data analytics.
Does the IBM Data Analyst Certificate Expire?
The IBM Data Analyst Certificate does not expire. The certificate is awarded to all learners upon completion of all 9 courses. This certificate has no expiry date and does not require renewal. The certificate is hosted on Coursera, which lasts indefinitely, where certificate holders can view it.
Are Coursera Professional Certificates Worth It?
Coursera Professional Certificates are worth it. Coursera Professional Certificates are well-structured and provide great exposure to necessary technologies used in junior, entry-level roles. These certificates ensure a strong foundation in various topics is found in certificate learners.
Is the IBM Data Analyst Certificate Better Than The Google Data Analytics Certificate?
The IBM Data Analyst Certificate is not better than the Google Data Analytics Certificate. Both certificates cover different essential data analyst skills and are great certificates. However, the Google certificate is suited for learners interested in R but the IBM certificate is suited for learners interested in Python.
Alright, so that’s all the reasons why the IBM Data Analyst Certificate is worth it. Hope it’s a useful resource in helping you decide on whether you should buy it!
Thanks for reading!
My Favorite Learning Resources:
My Recommended Learning Platforms!
|What’s Good About the Platform?
|Certificates are offered by popular learning institutes and companies like Google & IBM
|Comes with an integrated coding platform, great for beginners!
|Strong focus on data skills, taught by industry experts
|Learn faster by doing real interview coding practices for data science
|High-quality, comprehensive courses
My Recommended Online Courses + Books!
|Google Data Analytics Professional Certificate
|IBM Data Science Professional Certificate
|Excel Skills for Business Specialization
|Python for Everybody Specialization
|Python for Data Analysis
|Introduction to SQL
|SQL: The Ultimate Beginners Guide: Learn SQL Today
|Data Visualization with Tableau
|Getting Started with Power BI Desktop
|Beginning Microsoft Power BI
|Data Science: Foundations using R Specialization
|Big Book of Dashboards