Specialize in Data Science and Get an IBM Data Science Professional Certificate with this Coursera Program

Specialize in Data Science and Get an IBM Data Science Professional Certificate with this Coursera Program

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Parveen Kumar Tiwari

05 June 2023

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Specialize in Data Science and Get an IBM Data Science Professional Certificate with this Coursera Program

Course Overview

The IBM Data Science Professional Certificate is an online program offered by Coursera in collaboration with IBM. The program is designed to provide students with the skills and knowledge needed to pursue a career in data science. It will help you enhance your skills and build a career in the field of data science.

It is an excellent program for students who want to learn the fundamentals of data science and gain valuable hands-on experience working with real-world data sets. The program is taught by expert instructors from IBM and provides students with access to a wide range of tools and resources that they can use to build their skills and knowledge in the field of data science.

"I can feel a sea of difference in my capabilities in data science after doing this course. With hands-on practice, I have also developed a richer understanding of data science."

- Parveen Kumar Tiwari

Course Structure

The IBM data science professional program consists of 9 courses covering topics such as data analysis, machine learning, data visualization, and data science methodology. The courses are taught by expert instructors from IBM and provide students with hands-on experience working with real-world data sets.

Throughout the program, students will use IBM Watson Studio, an Integrated Development Environment (IDE) for data scientists. This platform provides students access to a wide range of tools and resources, including Jupyter notebooks, RStudio, and Spark clusters.

At the end of the program, students will work on a Capstone project in which they can apply their skills and knowledge to a real-world problem. This project is a key component of the program and provides students with valuable hands-on experience that they can showcase to potential employers.

Upon completing the program, students will receive a Professional Certificate from IBM and Coursera, which they can include on their resume or LinkedIn profile. This certificate demonstrates to employers that the learner has the skills and knowledge needed to succeed in a data science career.

Insider Tips

To get the best out of this data science certification IBM course, I have included some important tips that you might find useful.

  • Engage Actively with the Course Material
     
    Try to make notes, remember to highlight the key concepts and techniques, and ask questions to reinforce your understanding of the material. Engaging with the course material can help you retain information better and apply it more effectively.
     
  • Collaborate with Others
     
    There is a group discussion forum where you can ask questions, and the instructor will make it simple for you to practice using the tool. Collaborating with others can help you deepen your understanding of the material and gain new perspectives on the concepts and techniques covered in the course.
     
  • Assessment
     
    You can take attempt assessments a maximum of 2 times.

Final Take

I joined as a beginner in data science with no knowledge of writing in Python, but after finishing the course, I was able to finish 3 projects on data science and machine learning. Because of this, I have developed a good understanding of how to use the tools.

Key Takeaways

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Work in IBM Watson Studio, an Integrated Development Environment (IDE) for data scientists

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Gain hands-on experience working with real-world data sets

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Learn basic tools which are required in data science

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Study Python programming, Analysis, SQL

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Practice using data science tools

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Work on a Capstone project

Course Instructors

Parveen Kumar Tiwari

Data Scientist

A Data Scientist specializing in performing independent statistical and machine learning research and projects.