IBM - IBM Data Science Professional Certification

4.4 /5

(10 Ratings)

Offered byCoursera

IBM Data Science Professional Certification
at
Coursera
Overview

Equip with the foundational skills and knowledge required to begin a career in data science

Duration	4 months
Mode of learning	Online
Difficulty level	Beginner
Official Website	Go to Website
Credential	Certificate

IBM Data Science Professional Certification
at
Coursera
Highlights

Earn a certificate after completion of the course
Learn from industry best faculty
Financial aid available

IBM Data Science Professional Certification
at
Coursera
Course details

Skills you will learn

Data structures Python Data analysis Data Science

Who should do this course?

Professionals from fields like business, marketing, engineering, finance, or healthcare who want to transition into data science roles

People looking to build foundational skills in data science, such as programming in Python, data analysis, machine learning, and data visualization

What are the course deliverables?

Master the most up-to-date practical skills and knowledge that data scientists use in their daily roles

Learn the tools, languages, and libraries used by professional data scientists, including Python and SQL

Import and clean data sets, analyze and visualize data, and build machine learning models and pipelines

Apply your new skills to real-world projects and build a portfolio of data projects that showcase your proficiency to employers

More about this course

This is a comprehensive program designed to equip learners with the essential skills and tools required to start a career in data science

Students will gain hands-on experience with real-world data science projects and will be prepared for entry-level roles in data science and analytics

Students will learn data science industry, helping them gain the confidence to pursue roles in analytics, data engineering, and machine learning

IBM Data Science Professional Certification
at
Coursera
Curriculum

What is Data Science?
Defining Data Science and What Data Scientists Do
Data Science Topics
Data Science in Business
Data Science Methodology
From Problem to Approach and From Requirements to Collection
From Understanding to Preparation and From Modeling to Evaluation
From Deployment to Feedback

Python for Data Science, AI & Development
Python Basics
Python Data Structures
Python Programming Fundamentals
Working with Data in Python
APIs, and Data Collection

Python Project for Data Science
Crowdsourcing Short squeeze Dashboard

Databases and SQL for Data Science with Python
Getting Started with SQL
Introduction to Relational Databases and Tables
Intermediate SQL
Accessing Databases using Python
Course Assignment
Bonus Module: Advanced SQL for Data Engineering (Honors)

IBM Data Science Professional Certification
at
Coursera
Faculty details

Abhishek Gagneja

Passionate about gaining and sharing knowledge. More than a decade of experience in university-level academics. Worked on the development of multiple course modules, educational content, practical projects, and hands-on lab designs. Doctorate-level researcher in applied AI, machine learning, and deep learning applications.

Dr. Pooja

Dr. Pooja is an accomplished individual with almost two decades of experience in imparting education and making significant contributions in the field of Computer Science and Engineering.

IBM Data Science Professional Certification
at
Coursera
Entry Requirements

Requirements for 12th grade Up Arrow Icon

N/A
Students must have completed 10+2 from any recognised board of india

Conditional Offer Up Arrow Icon

Not mentioned

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Students Ratings & Reviews

4.4/5

10 Ratings

4-5
4
3-4
6

Diksha Jaswal

IBM Data Science Professional Certification

Offered by Coursera

Learning Experience: I wanted to improve my skills in data science, so I decided to take this course and I have learnt different new techniques.

Faculty: Instructors taught well, and all are working professionals from IBM, and even some of them are researchers from different colleges. Yes curriculum is updated, and it is easier to learn everything, it also provides hands-on experience for projects.

Course Support: Career support was helpful, I am going to change my career based on this specialization as I always have interest in data science, now I am going to work on this field.

Reviewed on 8 Jan 2022Read More

Kshitiz Tyagi

IBM Data Science Professional Certification

Offered by Coursera

Other: It\'s a great come across with some new skills there is Time to time quizzes and after completing each module there is a small task or maybe big task for achieving certificate for that course. Best way of teaching excellent experience feeling blessed to start this course.

Reviewed on 28 May 2021Read More

Dheeraj Shaik

IBM Data Science Professional Certification

Offered by Coursera

Other: A 10 month duration course that focuses on data scientist lifecycle from business understanding to model deployment.course curriculum is well designed with assignment every week keeps the learner engaged to the current topics.I find the certification certainly useful as a person do not need any prerequisite or previous knowledge on statistics,mathematics and programming language.It surely uplifts the skills acquired by the individual and add strength to the resume.

Reviewed on 15 Mar 2021Read More

Karthick Arulraj

IBM Data Science Professional Certification

Offered by Coursera

Other: The IBM Data Science Professional Certificate is an interesting course because it has many components of independent data science courses, such as a courses in methodology, an introduction to Python, and an overview of popular open source tools such as Jupyter Notebooks.

Reviewed on 15 Mar 2021Read More

Dhanush Nayak

IBM Data Science Professional Certification

Offered by Coursera

Other: Course is great for budding data science enthusiasts. Provides a great view on how and what is Data science wirh practical examples. Course was completed with a project which would include all concepts learnt throughout the course. Overall it's a great course for a beginner level Data Scientist!

Reviewed on 15 Mar 2021Read More

View All 6 Reviews