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Data Science for Beginners
Master the fundamental as well as sophisticated principles of data science from scratch to transform into competent data scientists.
Beginner
Online
30 Hours
Free
Quick facts
particular | details | |
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Medium of instructions
English
|
Mode of learning
Self study, Virtual Classroom
|
Mode of Delivery
Video and Text Based
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Course overview
Data Science for Beginners online certification is created by Board Infinity which is and is offered by FutureSkills Prime which is designed for those who desire to work as professional data scientists but have little or no experience of the fundamentals of the profession. Data Science for Beginners online course by FutureSkills Prime is based on competency criteria set by SSC NASSCOM in partnership with industry and certified by the Indian government.
Data Science for Beginners online classes begin with the fundamentals of data science and progresses to more advanced topics such as data visualization, data wrangling, exploratory data analysis, object-oriented programming, and various tools and technologies that enable data science operations, such as Anaconda, Python, Jupyter, Pandas, NumPy, and others. On successful completion of this course, applicants will be provided two certificates of completion from the Board infinity and FrtureSkills Prime.
The highlights
- Certificate of completion by Board Infinity
- Co-branded certificate
- Virtual instructor-led training
- Mentoring by industry experts
- 30 hours effort
- Lifetime course access
Program offerings
- Certificate of completion by board infinity
- Certificate by futureskills prime & board infinity
- Virtual instructor-led training
- Mentoring by industry experts
- 30 hours effort
- Discussion forum
- 24x7 support
- Lifetime access
Course and certificate fees
Type of course
certificate availability
certificate providing authority
What you will learn
After completing the Data Science for Beginners certification course, applicants will gain a basic understanding of the data science concepts and principles. Applicants will learn about data visualization, data wrangling, exploratory data analysis (EDA), and object-oriented programming, among other things. Applicants will also learn about the features of Python, Anaconda, Numpy, Pandas, and Jupyter, among other programs and technologies that enable data science operations.
The syllabus
Introduction to Data Science
Introduction to Python Programming
Python Basic Syntax
Conditionals in Python
Loops in Python
Python Data Structures
Object-Oriented Programming
Introduction to Numpy
Introduction to Pandas
Visualisation by using Python
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