IBM - Introduction to Data Science Specialization
4.8 /5
- Offered byCoursera
Introduction to Data Science Specialization at Coursera Overview
Introduction to Data Science Specialization
at Coursera
Duration | 4 months |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course |
Credential | Certificate |
Introduction to Data Science Specialization at Coursera Highlights
Introduction to Data Science Specialization
at Coursera
- Enroll for free
- Pay for Certification Examination
- 46% Started a new career after completing this specialization
- 19% Got a pay increase or promotion.
- Certification Course
Read more
Introduction to Data Science Specialization at Coursera Course details
Introduction to Data Science Specialization
at Coursera
Skills you will learn
What are the course deliverables?
- WHAT YOU WILL LEARN:
- Create and access a database instance on cloud
- Write basic SQL statements: CREATE, DROP, SELECT, INSERT, UPDATE, DELETE
- Filter, sort, group results, use built-in functions, access multiple tables
- Access databases from Jupyter using Python and work with real world datasets
More about this course
- This 4-course Specialization from IBM will provide students with the key foundational skills any data scientist needs to prepare their for a career in data science or further advanced learning in the field
- This Specialization will introduce students to what data science is and what data scientists do
- They'll discover the applicability of data science across fields, and learn how data analysis can help them make data driven decisions
- They'll find that students can kickstart their career path in the field without prior knowledge of computer science or programming languages: this Specialization will give them the foundation they need for more advanced learning to support their career goals
Introduction to Data Science Specialization at Coursera Curriculum
Introduction to Data Science Specialization
at Coursera
What is Data Science?
Open Source tools for Data Science
Data Science Methodology
Databases and SQL for Data Science
Introduction to Data Science Specialization at Coursera Admission Process
Introduction to Data Science Specialization
at Coursera
Important Dates
May 25, 2024
Course Commencement Date
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H
Hrushikesh H D
Introduction to Data Science Specialization
Offered by Coursera
5
Learning Experience: It was very good course for beginners because it covers all the topics which comes under DataScience from basics with quiz and assessments and a final project which helps any person in understanding the topics very well.
Faculty: Since the specialization was from IBM it had very proficient faculty to teach the course
There were 10 courses in the specialization where every course had 3-4 week contents.....every week it had quiz after every section and a main quiz and assessment after every week.
Reviewed on 24 Dec 2022Read More
A
Arjun Verma
Introduction to Data Science Specialization
Offered by Coursera
5
Learning Experience: NIce i learn a lot of thing but basically this is the intro of the data science
Faculty: nice
cc divided into weeks and i enjoyed overall.
Course Support: it give me a level of thinking about data science
Reviewed on 9 Dec 2022Read More
R
Rajat Metry
Introduction to Data Science Specialization
Offered by Coursera
4
Learning Experience: It was a good learning experience for the one looking for data analytics professional
Course Support: No
Reviewed on 27 Aug 2022Read More
C
Ch S S N D Balakrishna
Introduction to Data Science Specialization
Offered by Coursera
5
Other: Course was very interesting and informative. It cleared of doubts regarding Data Science.
Reviewed on 9 Oct 2021Read More
M
Mayur Patel
Introduction to Data Science Specialization
Offered by Coursera
5
Other: Good knowledge and very relevant. the curriculum was understandable and helped me get a deep understanding which finally helped me get a job.
Reviewed on 16 Oct 2020Read More
View All 6 Reviews
Introduction to Data Science Specialization
at Coursera
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