Review ibm data science professional certificate năm 2024

Apart from Google’s popular Data Analytics certification Coursera also have many gems like IBM Data Analyst Professional Certificate

Hello guys, if you are looking for a Data Analysis certification to jump into lucrative field of Data Analysis and aspire to become a Data Analyst in 2024 then you have come to the right place.

In the past, I have shared many best Data Analysis courses and certifications in in this article, I am going to review another popular Data Analysis certification on Coursera, the IBM Data Analyst Professional certification.

When it comes to Data Analysis certification Coursera has many choices and most of the people chooses the The Data Analytics Professional certificate from Google and its new cousin the Advanced Data Analytics Professional Certificate, obviously because they are from Google.

But many people don’t know that IBM also have many great certification on Coursera like this one, the IBM Data Analyst certification. In fact, before Google certification this was the most popular Data analysis certification on Coursera and still it has got great content which many people will like to learn.

Coming back to Data Analysis, many people think that the concept of data analytics is new. Still actually, humans were using analytics since the 19th century and maybe even before.

Still, it got more popular in 1960 when people start using computers but nowadays are used in every company and sting are millions in the job listing websites across the globe.

Many people think that you need a university degree to get a data analyst job. Still, you can now access many different online courses to gain the skills needed for this position, but some of you will be confused about what course you should get.

My advice to you is this IBM Data Analyst Professional Certificate program offered by IBM.

Is IBM Data Analyst Professional Certificate On Coursera Worth it in 2024?

Now that we know that its possible to become a Data Analyst online with much less cost and comfort of your home, let’s review this course to find out whether it’s right for you or not

1. The Instructors Review

This Data analysis specialization created by 9 professionals in the IBM company, and they are all in a great position as data scientists and data analyzers.

This means, hen you enroll in the program, you will learn from people who have solid experience in this field and all information are true compared to the other courses offered from just amateurs.

Here is a full list of instructor who will teach you in this certification:

2. Course Content

This is a very well designed certification with 8 courses and 1 projects, you need to complete all the courses, assignments, exercises, and projects to get the certification.

Now, let’s see each of these courses, many of them you can audit-for-free, which means, you can watch and learn for free.

2.1. Introduction to Data Analytics

You will start learning by what are the data analyst job and the different types of data analysts. Then, you will learn the different types of data structure and file formats and different types of data repositories like databases and warehouses.

Also, you will learn how to identify, gather and import data from different sources and visualize them.

2.2. Excel Basics for Data Analysis

The excel spreadsheet is one of the most used applications for performing data analysis, and you will gain some knowledge of using this software and navigate through its options.

Then you will learn to perform the basic tasks such as entering and viewing data and how to import data from different resources. Finally, some of the built-in functions are used inside the excel software.

2.3. Data Visualization and Dashboards with Excel and Cognos

This section will teach you to use excel for making data visualization like basic charts and pivot tables visualization. Then you will learn to create more advanced charts like scatter plots and histograms and learn the basics of the dashboard.

Finally, you will learn to use another analytic tool called Cognos analytics and explore its options.

2.4. Python for Data Science, AI & Development

Starting with the basics of the python programming languages like data types and how to store values inside a variable and store multiple values inside one variable, known as tuples, lists, dictionaries, and sets.

Later, you will see the for loops, how to iterate over items, work with files and data, and use the API and web scraping.

2.5. Python Project for Data Science

This section relies on the previous ones. You have to understand python language to demonstrate your knowledge in this language and create a program that extracts stock data using different Python libraries with Jupyter Notebook.

2.6. Databases and SQL for Data Science with Python

Learn the basics of the SQL language used to pull data from a database and explore the concepts behind databases in general and the relationships of different tables inside the database.

Next, you will learn how to apply advanced queries for searching inside the database and accessing the database using the python language.

2.7. Data Analysis with Python

This is the most fun part of this Data Analysis certification where you will learn how to analyze data using python, which is the purpose of this whole program.

Data analysis with python involves using different libraries such as Numpy for mathematical calculation, pandas for importing and working with data, and scipy for applying machine learning algorithms to your data.

2.8. Data Visualization with Python

Starting by learning how to use the matplotlib library to visualize data and creating different plots such as area plots, histograms, pie charts, and more.

You will also see some advanced visualization such as waffle charts and how to create them and learn other visualization libraries like seaborn and Folium.

Talking about social proof, more than 157K people have already joined this course to learn Data Visualization with Python. You can also audit this course for free, which means you can watch but without access to exercises and assessment.

2.9. IBM Data Analyst Capstone Project

This final section will require you to apply whatever you’ve learned in the previous courses to solve a real-world problem using python and data analytics skills.

They will assume that you have recently joined the organization and started your journey in this field so you will get a real world experience before applying to a position of a data analyst.

You must complete this capstone project in order to get the certification, unless you complete this project, you will not be eligible for certificate. You can see that only 16K have completed this project which is not very high.

Here is the link to complete the project — IBM Data Analyst Capstone Project

3. People Review

Now that we have seen the instructor expertise and experience as well as course structure and content quality, its time to see what other people are saying about this certification. It’s very important to get past participants feedback before you join any program online, not just a Coursera certification.

Jarek K Poland who has taken this course says:

The impact of the IBM Data Analyst Professional Certificate on my career and professional growth has been significant. It added credibility to my resume, demonstrated my commitment to continuous learning and professional development, and played a crucial role in helping me secure a job as a professional data analyst.

Similarly Egbeola O from Nigeria says

My intention is to eventually switch careers and work full-time as a data analyst. Taking this certification helped my acquire the necessary skills I would need. It has also boosted my chances of landing my dream job.

In general the course has very positive ranking, 4.7 out of 5 from close to 14K reviews and more than 158,019 people have already enrolled which speaks a lot about the course and the value it provide.

Here is the link to learn more and join this course — IBM Data Analyst Professional Certificate program

How good is the IBM data science Professional Certificate?

The IBM Data Science Professional Certificate program is a great way to prepare for a career in data science. But its biggest advantage is that you pay just a margin of the cost compared to traditional education. With 10 skill-building courses designed by IBM, you get the most value for what you pay for.

Is it worth getting a data science professional certificate?

The short answer is yes. As is demonstrated by the stories of our certified learners, becoming a certified data scientist gives you: An advantage over other candidates. Proof of your data science skills, whether you're transitioning from another profession or completely new to data science.

Are IBM certificates recognized?

“Earning ECTS credit recommendations for IBM Professional Certificates on Coursera signifies our dedication to maintaining high-quality education standards and empowering individuals to secure their careers with globally-recognized qualifications,” said Leon Katsnelson, Director & CTO, IBM Skills Network.

How much does IBM pay data science professional certified?

Average IBM Data Scientist yearly pay in the United States is approximately $132,287, which is 11% above the national average. Salary information comes from 317 data points collected directly from employees, users, and past and present job advertisements on Indeed in the past 36 months.