IBM Data Science Professional Certificate
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IBM Data Science Professional Certificate

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This course is useful for following:

  • anyone looking to get started in data science field.
  • anyone who wants to learn very basic of data science.
  • anyone with very little or no knowledge of the data science or python.

Specification: IBM Data Science Professional Certificate

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Difficulty Level

Prerequisite

Free Trial (in days)

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Duration (in months)

What will you learn?

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Suggested hours/week

Programming Language Used

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Modules

1. Meet some data science practitioners and get an overview of what data science is today.
2. Learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience.
3. The major steps involved in tackling a data science problem.
4. Beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.
5. Introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language.
6. Learn how to analyze data using Python. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!
7. Learn how to present the data in a form that makes sense to people using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium.
8. This module covers basic of Machine Learning with python and topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms.
9. Applied Data Science Capstone – It will give you a taste of what data scientists go through in real life when working with data.

Upon completion

University credits

Graded quizzes & assignments

Capstone Project

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Photos: IBM Data Science Professional Certificate

coursera data science course Coursera IBM Data Science Certificate Coursera IBM Data Science Faculty

4 reviews for IBM Data Science Professional Certificate

4.8 out of 5
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  1. ★★★★★

    Rishab Agarwal –

    The courses started with the basics of ‘What is Data Science?’ and the ‘Open Source Tools used in Data Science’. It then went on to the ‘Methodology’ and actual coding course based on ‘Python’ and ‘SQL’. Then, we learnt Data Analysis and Visualization using various libraries of python. Finally, there was a course on ‘Machine Learning’ and a ‘Capstone Project’ concluded the certification.
    The courses have given me a fair idea of how to deal with data and think about it from an angle where it can and should be used be to solve a problem. It was a good experience to take this series of courses and complete it in a span of 1 month. My current experience as a Data Engineer, where Python and SQL (PySpark SQL) are used on a daily basis, helped me achieve this feat in the time span.

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  2. ★★★★★

    Amiya Ranjan Barik –

    It was a great learning experience doing the IBM Data Science Professional Certificate specialisation course from Coursera. One of the fine courses to start the Data Science journey.

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  3. ★★★★★

    Havez Kautsar –

    finally I have completed the IBM Data Science Specialization by Coursera. I’m not gonna stop to continue learning.

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  4. ★★★★★

    Suan Suan Alessandra Chen –

    I have finally completed my first Professional Certificate in IBM Data Science. I am glad to have did it, I learnt a lot of interesting things. Thanks to #IBM and #coursera for this course.

    I share my final project: https://lnkd.in/d9Np-br

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    Expert Score 9.5
    Course Content
    9.5
    Learning Experience
    9.5
    Course Price
    8.5
    Credibility
    9.5
    Flexibility
    10
    PROS:
    • Explains the basic concepts and methods of Data Analysis very clearly.
    • You will get familiar with the “IBM” way of doing data science - includes Watson Studio.
    CONS:
    • It locks you in to a certain way of working dependent on an IBM platform.
    • ‘The IBM way of working’ limits your effectiveness in companies that do not use this platform.
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